feat(emissions): per-call inference energy + token tracker

Adds an additive emissions ledger that records every llm.chat call
and every remote app.inference._post call, surfacing the per-query
total Wh / J + token counts on the briefing.

Backend
- app/emissions.py: thread-local Tracker with hardware power profiles
(MI300X 600 W, T4 50 W, Apple M 20 W, x86 30 W) and a summarize()
rollup with by-kind, by-hardware, and frontier-cloud comparison.
- app/llm.py: chat() times each call, picks hardware via engine
detection, reads prompt/completion tokens from LiteLLM usage for
non-stream calls, estimates from response text for streams.
- app/inference.py: _post() records duration vs the MI300X profile.
- app/fsm.py: captures the parent-thread tracker and re-installs it on
the iter_steps runner thread (mirrors the token_callback pattern);
attaches `emissions` alongside the existing `energy` block in both
run() and the iter_steps final event.
- app/context/eo_chip_cache.py + app/flood_layers/prithvi_live.py:
ThreadPoolExecutor initializer propagates the tracker into the
worker so inference calls inside those specialists are captured.
- web/main.py: installs a fresh Tracker for api_agent (sync) and
api_agent_stream (SSE runner), summarizes into the result.

Frontend
- agentStream.ts: EmissionsSummary + EmissionsCall types, optional
field on FinalResult.
- card.ts FindingsData: optional emissions field plumbed through.
- cardAdapter.ts: passes emissions through adaptFinalToFindings.
- RunHealthStrip.svelte: compact chip "X mWh inference / Y tok ~Nx <
cloud" with a hover tooltip listing call count, hardware, token
split, and method. Renders only when the backend reports a ledger
so older clients keep working unchanged.

The legacy `energy` field is untouched, so web/static/app.js keeps
rendering the existing footer. Build re-run.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

app/context/eo_chip_cache.py

@@ -329,7 +329,14 @@ def fetch(lat: float, lon: float, timeout_s: float = 60.0) -> dict[str, Any]:
     # Hard wall-clock cap: pystac_client / rioxarray COG reads don't expose
     # uniform per-request timeouts, so we bound the whole pipeline here.
     hard_timeout = timeout_s + 15.0
-    with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
+    # Propagate the parent thread's emissions tracker into the worker so
+    # any inference._post calls made inside _fetch_and_build are recorded.
+    from app import emissions as _emissions
+    _parent_tracker = _emissions.current()
+    with concurrent.futures.ThreadPoolExecutor(
+        max_workers=1,
+        initializer=lambda t=_parent_tracker: _emissions.install(t),
+    ) as pool:
         future = pool.submit(_fetch_and_build, lat, lon, timeout_s)
         try:
             return future.result(timeout=hard_timeout)

app/emissions.py

@@ -0,0 +1,230 @@
+"""Per-query emissions tracker for inference calls.
+
+Records every LLM and ML-inference call made during a single query and
+summarizes:
+  - wallclock duration per call
+  - prompt + completion tokens (LLM)
+  - estimated energy in watt-hours, using a sustained-power figure for
+    the active hardware
+
+Estimates are deliberately rule-of-thumb: hardware × time. The numbers
+are conservative public-record figures (data sheet TDP scaled to a
+sustained-inference fraction). They are not benchmark output. The intent
+is a defensible, auditable footprint the UI can surface alongside the
+existing `energy` block.
+
+Thread propagation
+------------------
+The tracker is held in a thread-local. The dispatch layer
+(web/main.py) installs one per request; `app/fsm.py:iter_steps`
+captures and re-installs it on the FSM runner thread (mirroring the
+existing `_captured_token_cb` pattern). Worker threads spawned inside
+specialists (prithvi_live, eo_chip_cache) inherit nothing — those calls
+are silently dropped, which is acceptable: those specialists do <1 s of
+inference each and are off the hot path for the energy story.
+"""
+from __future__ import annotations
+
+import threading
+from typing import Any
+
+# (label, sustained_power_w, source)
+HARDWARE: dict[str, tuple[str, float, str]] = {
+    "amd_mi300x": (
+        "AMD MI300X",
+        600.0,
+        "AMD Instinct MI300X data sheet (750 W TDP); ~600 W sustained "
+        "during vLLM generation is a conservative midpoint of public "
+        "ROCm benchmarks.",
+    ),
+    "nvidia_t4": (
+        "NVIDIA T4",
+        50.0,
+        "NVIDIA T4 data sheet (70 W max); ~50 W sustained during "
+        "transformer inference.",
+    ),
+    "apple_m": (
+        "Apple M-series",
+        20.0,
+        "ml.energy / community measurements: ~20 W package power "
+        "during Granite 4.1 q4_K_M inference on Apple M3/M4.",
+    ),
+    "cpu_server": (
+        "x86 CPU",
+        30.0,
+        "Typical sustained x86 server-core load (~30 W) for CPU-only "
+        "inference fallbacks.",
+    ),
+}
+
+# Frontier-cloud per-query reference, kept in sync with app/energy.py so
+# the comparison stays consistent across both summaries.
+CLOUD_PER_QUERY_WH = 0.30
+CLOUD_SOURCE = (
+    'Epoch AI (2025), "How much energy does ChatGPT use?", '
+    "estimating ~0.3 Wh per typical GPT-4o query."
+)
+
+
+def _wh(power_w: float, duration_s: float) -> float:
+    return power_w * max(duration_s, 0.0) / 3600.0
+
+
+class Tracker:
+    """Append-only call ledger for one query. Thread-safe."""
+
+    def __init__(self) -> None:
+        self.calls: list[dict[str, Any]] = []
+        self._lock = threading.Lock()
+
+    def record_llm(self, *, model: str, backend: str, hardware: str,
+                   prompt_tokens: int | None,
+                   completion_tokens: int | None,
+                   duration_s: float,
+                   stream: bool = False) -> None:
+        hw_label, power_w, _src = HARDWARE.get(hardware,
+                                               HARDWARE["cpu_server"])
+        wh = _wh(power_w, duration_s)
+        total = None
+        if prompt_tokens is not None or completion_tokens is not None:
+            total = (prompt_tokens or 0) + (completion_tokens or 0)
+        with self._lock:
+            self.calls.append({
+                "kind": "llm",
+                "model": model,
+                "backend": backend,
+                "hardware": hardware,
+                "hardware_label": hw_label,
+                "power_w": power_w,
+                "duration_s": round(duration_s, 3),
+                "prompt_tokens": prompt_tokens,
+                "completion_tokens": completion_tokens,
+                "total_tokens": total,
+                "stream": stream,
+                "wh": round(wh, 5),
+                "joules": round(wh * 3600, 2),
+            })
+
+    def record_ml(self, *, endpoint: str, backend: str, hardware: str,
+                  duration_s: float) -> None:
+        hw_label, power_w, _src = HARDWARE.get(hardware,
+                                               HARDWARE["cpu_server"])
+        wh = _wh(power_w, duration_s)
+        with self._lock:
+            self.calls.append({
+                "kind": "ml",
+                "endpoint": endpoint,
+                "backend": backend,
+                "hardware": hardware,
+                "hardware_label": hw_label,
+                "power_w": power_w,
+                "duration_s": round(duration_s, 3),
+                "wh": round(wh, 5),
+                "joules": round(wh * 3600, 2),
+            })
+
+    def summarize(self) -> dict[str, Any]:
+        with self._lock:
+            calls = list(self.calls)
+        total_wh = sum(c["wh"] for c in calls)
+        total_dur = sum(c["duration_s"] for c in calls)
+        prompt = sum((c.get("prompt_tokens") or 0)
+                     for c in calls if c["kind"] == "llm")
+        completion = sum((c.get("completion_tokens") or 0)
+                         for c in calls if c["kind"] == "llm")
+
+        by_kind: dict[str, dict[str, Any]] = {}
+        for c in calls:
+            slot = by_kind.setdefault(c["kind"], {"wh": 0.0, "n": 0,
+                                                  "duration_s": 0.0})
+            slot["wh"] += c["wh"]
+            slot["n"] += 1
+            slot["duration_s"] += c["duration_s"]
+        for slot in by_kind.values():
+            slot["wh"] = round(slot["wh"], 5)
+            slot["mwh"] = round(slot["wh"] * 1000, 2)
+            slot["duration_s"] = round(slot["duration_s"], 3)
+
+        by_hw: dict[str, dict[str, Any]] = {}
+        for c in calls:
+            slot = by_hw.setdefault(c["hardware"], {
+                "label": c["hardware_label"],
+                "power_w": c["power_w"],
+                "wh": 0.0, "n": 0, "duration_s": 0.0,
+            })
+            slot["wh"] += c["wh"]
+            slot["n"] += 1
+            slot["duration_s"] += c["duration_s"]
+        for slot in by_hw.values():
+            slot["wh"] = round(slot["wh"], 5)
+            slot["mwh"] = round(slot["wh"] * 1000, 2)
+            slot["duration_s"] = round(slot["duration_s"], 3)
+
+        ratio = (round(CLOUD_PER_QUERY_WH / total_wh, 1)
+                 if total_wh > 0 else None)
+        return {
+            "n_calls": len(calls),
+            "total_wh": round(total_wh, 5),
+            "total_mwh": round(total_wh * 1000, 2),
+            "total_joules": round(total_wh * 3600, 1),
+            "total_duration_s": round(total_dur, 3),
+            "tokens": {
+                "prompt": prompt or None,
+                "completion": completion or None,
+                "total": (prompt + completion) or None,
+            },
+            "by_kind": by_kind,
+            "by_hardware": by_hw,
+            "calls": calls,
+            "comparison": {
+                "cloud_per_query_wh": CLOUD_PER_QUERY_WH,
+                "cloud_per_query_mwh": round(CLOUD_PER_QUERY_WH * 1000, 1),
+                "ratio_cloud_over_query": ratio,
+                "cloud_source": CLOUD_SOURCE,
+            },
+            "method": (
+                "Sum over recorded inference calls of "
+                "(sustained_power_w × duration_s ÷ 3600). "
+                "Power figures are conservative public-record values "
+                "per app/emissions.HARDWARE; tokens are reported by "
+                "the backend (LiteLLM usage) when available, else "
+                "estimated from response text length (~4 chars/token)."
+            ),
+        }
+
+
+# Thread-local install. Calls made on threads without an installed
+# tracker hit a no-op stub — always safe to call active().record_*().
+_tl = threading.local()
+
+
+class _NullTracker:
+    def record_llm(self, **_kw: Any) -> None:
+        return None
+
+    def record_ml(self, **_kw: Any) -> None:
+        return None
+
+
+_NULL = _NullTracker()
+
+
+def install(tracker: Tracker | None) -> None:
+    _tl.tracker = tracker
+
+
+def current() -> Tracker | None:
+    return getattr(_tl, "tracker", None)
+
+
+def active() -> Tracker | _NullTracker:
+    """Return the installed tracker for this thread, or a no-op stub.
+    Always safe to call in instrumentation hot paths."""
+    return getattr(_tl, "tracker", None) or _NULL
+
+
+def estimate_completion_tokens(text: str) -> int:
+    """Rough char/4 estimator used when the backend doesn't report usage
+    (e.g. streaming through Ollama, where LiteLLM's stream wrapper does
+    not always surface a final usage block)."""
+    return max(1, len(text) // 4)

app/flood_layers/prithvi_live.py

@@ -506,7 +506,12 @@ def fetch(lat: float, lon: float, timeout_s: float = 60.0) -> dict[str, Any]:
                 "skipped": f"deps unavailable on this deployment: "
                            f"{_DEPS_MISSING}"}
     hard_timeout = timeout_s + 15.0
-    with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
+    from app import emissions as _emissions
+    _parent_tracker = _emissions.current()
+    with concurrent.futures.ThreadPoolExecutor(
+        max_workers=1,
+        initializer=lambda t=_parent_tracker: _emissions.install(t),
+    ) as pool:
         future = pool.submit(_fetch_inner, lat, lon, timeout_s)
         try:
             return future.result(timeout=hard_timeout)

app/fsm.py

@@ -16,6 +16,7 @@ import geopandas as gpd
 from burr.core import ApplicationBuilder, State, action
 from shapely.geometry import Point
 
+from app import emissions
 from app.context import floodnet, microtopo, noaa_tides, nws_alerts, nws_obs, nyc311
 from app.energy import estimate as energy_estimate
 from app.flood_layers import dep_stormwater, ida_hwm, prithvi_water, sandy_inundation
@@ -1171,6 +1172,16 @@ def _summarize_energy(trace: list) -> dict | None:
     return energy_estimate(rec_step.get("elapsed_s", 0) or 0, total_s)
 
 
+def _summarize_emissions() -> dict | None:
+    """Snapshot the active per-call emissions tracker, if installed.
+
+    Returns None when no tracker is bound to this thread (e.g. unit
+    tests that call `fsm.run` directly without going through the
+    web/intent layer that installs one)."""
+    t = emissions.current()
+    return t.summarize() if t is not None else None
+
+
 def run(query: str) -> dict[str, Any]:
     app = build_app(query)
     final_action, _, final_state = app.run(halt_after=["reconcile"])
@@ -1205,6 +1216,7 @@ def run(query: str) -> dict[str, Any]:
         "audit": final_state.get("audit"),
         "mellea": final_state.get("mellea"),
         "energy": _summarize_energy(trace),
+        "emissions": _summarize_emissions(),
         "trace": trace,
     }
 
@@ -1248,12 +1260,14 @@ def iter_steps(query: str):
     _captured_planned = _current_planned_specialists()
     _captured_token_cb = _current_token_callback()
     _captured_mellea_cb = _current_mellea_attempt_callback()
+    _captured_tracker = emissions.current()
 
     def _run_iterate():
         set_strict_mode(_captured_strict)
         set_planned_specialists(_captured_planned)
         set_token_callback(_captured_token_cb)
         set_mellea_attempt_callback(_captured_mellea_cb)
+        emissions.install(_captured_tracker)
         try:
             for _action_obj, _result, state in app.iterate(halt_after=["reconcile"]):
                 final_state_holder["state"] = state
@@ -1271,6 +1285,7 @@ def iter_steps(query: str):
             set_planned_specialists(None)
             set_token_callback(None)
             set_mellea_attempt_callback(None)
+            emissions.install(None)
             q.put(None)  # sentinel
 
     runner = _threading.Thread(target=_run_iterate, name="riprap-fsm",
@@ -1331,4 +1346,5 @@ def iter_steps(query: str):
         "audit": state.get("audit"),
         "mellea": state.get("mellea"),
         "energy": _summarize_energy(trace),
+        "emissions": _summarize_emissions(),
     }

app/inference.py

@@ -32,11 +32,14 @@ from __future__ import annotations
 import base64
 import logging
 import os
+import time
 from collections.abc import Iterable
 from typing import Any
 
 import httpx
 
+from app import emissions
+
 log = logging.getLogger("riprap.inference")
 
 _BACKEND = os.environ.get("RIPRAP_ML_BACKEND", "auto").lower()
@@ -81,6 +84,7 @@ def _post(path: str, payload: dict[str, Any], timeout: float | None = None) -> d
     if not remote_enabled():
         raise RemoteUnreachable("remote ML backend not configured "
                                 "(RIPRAP_ML_BASE_URL empty or BACKEND=local)")
+    t0 = time.monotonic()
     try:
         with _client(timeout) as c:
             r = c.post(path, json=payload)
@@ -90,6 +94,17 @@ def _post(path: str, payload: dict[str, Any], timeout: float | None = None) -> d
     if r.status_code >= 500:
         raise RemoteUnreachable(f"HTTP {r.status_code} from {path}: {r.text[:200]}")
     r.raise_for_status()
+    duration_s = time.monotonic() - t0
+    # The remote ML service runs alongside vLLM on the AMD MI300X
+    # droplet; attribute the wallclock to that hardware. Local-fallback
+    # paths don't reach this function — they go straight to in-process
+    # model loads in the specialist module, which we don't track.
+    emissions.active().record_ml(
+        endpoint=path,
+        backend="riprap-models",
+        hardware="amd_mi300x",
+        duration_s=duration_s,
+    )
     return r.json()
 
 

app/llm.py

@@ -27,12 +27,15 @@ from __future__ import annotations
 
 import logging
 import os
+import time
 from collections.abc import Iterator
 from typing import Any
 
 import litellm
 from litellm import Router
 
+from app import emissions
+
 log = logging.getLogger(__name__)
 
 litellm.suppress_debug_info = True
@@ -211,7 +214,8 @@ def _to_ollama_shape(resp) -> dict:
     return {"message": {"role": "assistant", "content": content}}
 
 
-def _stream_to_ollama_shape(stream) -> Iterator[dict]:
+def _stream_to_ollama_shape(stream, *, on_done=None) -> Iterator[dict]:
+    accum: list[str] = []
     for chunk in stream:
         try:
             delta = chunk.choices[0].delta
@@ -223,7 +227,77 @@ def _stream_to_ollama_shape(stream) -> Iterator[dict]:
         # idempotent / no-op on partial matches.
         if content:
             content = _normalize_citations(content)
+            accum.append(content)
         yield {"message": {"role": "assistant", "content": content}}
+    if on_done is not None:
+        on_done("".join(accum))
+
+
+def _hardware_for(engine: str) -> str:
+    """Map the active LLM engine to an emissions.HARDWARE key.
+
+    Operator override via RIPRAP_HARDWARE_LABEL is honored where it
+    matches a known key (mi300x / t4 / apple / cpu); otherwise we
+    infer from engine selection and HF Space presence."""
+    override = (os.environ.get("RIPRAP_HARDWARE_LABEL") or "").lower()
+    if "mi300x" in override or "amd" in override:
+        return "amd_mi300x"
+    if "t4" in override or "nvidia" in override:
+        return "nvidia_t4"
+    if "apple" in override or "m3" in override or "m4" in override:
+        return "apple_m"
+    if engine == "vLLM" and _VLLM_BASE:
+        return "amd_mi300x"
+    if os.environ.get("SPACE_ID") or os.environ.get("HF_SPACE_ID"):
+        return "nvidia_t4"
+    return "apple_m"
+
+
+def _extract_usage(resp) -> tuple[int | None, int | None]:
+    """Pull (prompt_tokens, completion_tokens) from a LiteLLM response.
+    Returns (None, None) when usage isn't surfaced (some Ollama paths)."""
+    try:
+        u = getattr(resp, "usage", None)
+        if u is None and isinstance(resp, dict):
+            u = resp.get("usage")
+        if u is None:
+            return (None, None)
+        # LiteLLM's Usage is dict-like / pydantic — accept either shape.
+        get = (u.get if hasattr(u, "get") else lambda k, d=None: getattr(u, k, d))
+        return (get("prompt_tokens"), get("completion_tokens"))
+    except Exception:  # noqa: BLE001 — instrumentation must never throw
+        return (None, None)
+
+
+def _record_llm(*, alias: str, messages: list[dict], duration_s: float,
+                resp=None, completion_text: str | None = None,
+                stream: bool = False) -> None:
+    """Record one llm.chat call into the active emissions tracker.
+
+    For non-stream calls, we read prompt/completion tokens off the
+    LiteLLM response. For stream calls, the response is a generator —
+    we estimate tokens from concatenated assistant text and from a
+    char/4 estimate of the input messages. Estimates are flagged on
+    the call record so the UI can disclose them."""
+    info = backend_info()
+    hardware = _hardware_for(info["engine"])
+    backend = info["engine"]
+    prompt_tokens, completion_tokens = _extract_usage(resp) if resp is not None else (None, None)
+    if prompt_tokens is None:
+        prompt_chars = sum(len(m.get("content") or "") for m in messages)
+        prompt_tokens = emissions.estimate_completion_tokens(
+            " " * prompt_chars) if prompt_chars else None
+    if completion_tokens is None and completion_text is not None:
+        completion_tokens = emissions.estimate_completion_tokens(completion_text)
+    emissions.active().record_llm(
+        model=alias,
+        backend=backend,
+        hardware=hardware,
+        prompt_tokens=prompt_tokens,
+        completion_tokens=completion_tokens,
+        duration_s=duration_s,
+        stream=stream,
+    )
 
 
 def _default_hardware_label() -> str:
@@ -288,9 +362,18 @@ def chat(model: str, messages: list[dict], options: dict | None = None,
         kwargs["response_format"] = {"type": "json_object"}
         # Ollama path (LiteLLM forwards this via extra_body for ollama_chat)
         kwargs.setdefault("extra_body", {})["format"] = "json"
+    t0 = time.monotonic()
     if stream:
         s = _router.completion(model=alias, messages=messages,
                                stream=True, **kwargs)
-        return _stream_to_ollama_shape(s)
+
+        def _on_stream_done(full_text: str) -> None:
+            _record_llm(alias=alias, messages=messages,
+                        duration_s=time.monotonic() - t0,
+                        completion_text=full_text, stream=True)
+
+        return _stream_to_ollama_shape(s, on_done=_on_stream_done)
     resp = _router.completion(model=alias, messages=messages, **kwargs)
+    _record_llm(alias=alias, messages=messages,
+                duration_s=time.monotonic() - t0, resp=resp, stream=False)
     return _to_ollama_shape(resp)

web/main.py

@@ -15,6 +15,7 @@ from fastapi import FastAPI, Request  # noqa: E402
 from fastapi.responses import FileResponse, StreamingResponse  # noqa: E402
 from fastapi.staticfiles import StaticFiles  # noqa: E402
 
+from app import emissions  # noqa: E402
 from app.context import floodnet  # noqa: E402
 from app.flood_layers import dep_stormwater, sandy_inundation  # noqa: E402
 from app.fsm import iter_steps  # noqa: E402
@@ -606,26 +607,33 @@ def api_agent(q: str):
     from app.intents import neighborhood as i_nbhd
     from app.intents import single_address as i_addr
     from app.planner import plan as run_planner
-    p = run_planner(q)
-    if p.intent == "not_implemented":
-        return JSONResponse({
-            "paragraph": p.rationale,
-            "mellea": {"rerolls": 0, "n_attempts": 0,
-                       "requirements_passed": [], "requirements_failed": [],
-                       "requirements_total": 0},
-            "status": "not_implemented",
-        })
-    if p.intent == "compare":
-        out = _run_compare(p, q, None, i_addr)
-    elif p.intent == "development_check":
-        out = i_dev.run(p, q, strict=True)
-    elif p.intent == "neighborhood":
-        out = i_nbhd.run(p, q, strict=True)
-    elif p.intent == "live_now":
-        out = i_live.run(p, q)
-    else:
-        out = i_addr.run(p, q, strict=True)
-    return JSONResponse(out)
+    tracker = emissions.Tracker()
+    emissions.install(tracker)
+    try:
+        p = run_planner(q)
+        if p.intent == "not_implemented":
+            return JSONResponse({
+                "paragraph": p.rationale,
+                "mellea": {"rerolls": 0, "n_attempts": 0,
+                           "requirements_passed": [], "requirements_failed": [],
+                           "requirements_total": 0},
+                "status": "not_implemented",
+                "emissions": tracker.summarize(),
+            })
+        if p.intent == "compare":
+            out = _run_compare(p, q, None, i_addr)
+        elif p.intent == "development_check":
+            out = i_dev.run(p, q, strict=True)
+        elif p.intent == "neighborhood":
+            out = i_nbhd.run(p, q, strict=True)
+        elif p.intent == "live_now":
+            out = i_live.run(p, q)
+        else:
+            out = i_addr.run(p, q, strict=True)
+        out["emissions"] = tracker.summarize()
+        return JSONResponse(out)
+    finally:
+        emissions.install(None)
 
 
 @app.get("/api/agent/stream")
@@ -637,7 +645,10 @@ async def api_agent_stream(q: str):
     import queue
     out_q: queue.Queue[dict] = queue.Queue()
 
+    tracker = emissions.Tracker()
+
     def runner():
+        emissions.install(tracker)
         try:
             from app.intents import development_check as i_dev
             from app.intents import live_now as i_live
@@ -672,10 +683,12 @@ async def api_agent_stream(q: str):
                 final = i_live.run(p, q, progress_q=out_q)
             else:
                 final = i_addr.run(p, q, progress_q=out_q, strict=True)
+            final["emissions"] = tracker.summarize()
             out_q.put({"kind": "final", **final})
         except Exception as e:
             out_q.put({"kind": "error", "err": str(e)})
         finally:
+            emissions.install(None)
             out_q.put({"kind": "_done"})
 
     async def event_stream():

web/sveltekit/build/200.html

@@ -2,22 +2,21 @@
 <html lang="en">
   <head>
     <meta charset="utf-8" />
-    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
-    <link rel="icon" type="image/png" href="/favicon.png" />
+    <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3E%3Crect width='16' height='16' fill='%23FAFAF7'/%3E%3Crect x='2' y='2' width='5' height='12' fill='%23D17C00'/%3E%3C/svg%3E" />
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="/_app/immutable/entry/start.BIDfHH4-.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/BOtZ6QcV.js" rel="modulepreload">
+    <link href="/_app/immutable/entry/start.YmL7ZSOR.js" rel="modulepreload">
+		<link href="/_app/immutable/chunks/CJeJVIjP.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/BTUA7_xE.js" rel="modulepreload">
-		<link href="/_app/immutable/entry/app.CoGsDDek.js" rel="modulepreload">
+		<link href="/_app/immutable/entry/app.BhktVbRh.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/CXQd8Y6F.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/CWw6qgC_.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/Bd-v_9Ud.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/CW0zSL4D.js" rel="modulepreload">
-		<link href="/_app/immutable/nodes/0.h-vIKZsr.js" rel="modulepreload">
+		<link href="/_app/immutable/nodes/0.Dv1TzIuH.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/DxQlA7U2.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/nUW4eUox.js" rel="modulepreload">
+		<link href="/_app/immutable/chunks/B3Pg95Il.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/DCD6_LXk.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/B0XoTt7U.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/DixtWtwq.js" rel="modulepreload">
@@ -29,15 +28,15 @@
     <div style="display: contents">
 			<script>
 				{
-					__sveltekit_chon6g = {
+					__sveltekit_1sh7tn8 = {
 						base: ""
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("/_app/immutable/entry/start.BIDfHH4-.js"),
-						import("/_app/immutable/entry/app.CoGsDDek.js")
+						import("/_app/immutable/entry/start.YmL7ZSOR.js"),
+						import("/_app/immutable/entry/app.BhktVbRh.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element);
 					});

web/sveltekit/build/_app/immutable/assets/stoneRegistry.DOPO2SDD.css

@@ -0,0 +1 @@
+.citation-drawer.svelte-1p339fd a{color:inherit;border-bottom:1px solid var(--rule-soft);text-decoration:none}.citation-drawer.svelte-1p339fd a:hover{border-bottom-color:var(--accent);color:var(--accent)}.rip-map-container.svelte-wk2bu4{position:absolute;top:0;right:0;bottom:0;left:0;width:100%;height:100%}.map-frame.svelte-wk2bu4{aspect-ratio:8 / 5.6;position:relative;transition:outline-color .2s ease;outline:0 solid transparent;outline-offset:0}.map-frame[data-linked].svelte-wk2bu4:not([data-linked=""]){outline:2px solid var(--accent-graphical)}.link-badge.svelte-wk2bu4{position:absolute;bottom:8px;right:8px;padding:3px 8px;background:var(--ink);color:var(--paper);font-family:var(--font-mono);font-size:10px;letter-spacing:.06em;text-transform:lowercase;z-index:5;pointer-events:none}.layers-panel.svelte-1g2dety{background:var(--paper);border:1px solid var(--rule-soft);padding:var(--s-3) var(--s-4) var(--s-4);display:flex;flex-direction:column;gap:var(--s-3);font-family:var(--font-sans)}.layers-head.svelte-1g2dety{padding-bottom:4px}.layers-group.svelte-1g2dety{border-top:1px solid var(--rule-soft);padding-top:var(--s-2);border-left:3px solid var(--stone-tint, var(--rule-soft));padding-left:var(--s-3)}.layers-group.region-cornerstone.svelte-1g2dety{--stone-tint: var(--stone-cornerstone)}.layers-group.region-keystone.svelte-1g2dety{--stone-tint: var(--stone-keystone)}.layers-group.region-touchstone.svelte-1g2dety{--stone-tint: var(--stone-touchstone)}.layers-group.region-lodestone.svelte-1g2dety{--stone-tint: var(--stone-lodestone)}.layers-group.region-capstone.svelte-1g2dety{--stone-tint: var(--stone-capstone)}.layers-group.svelte-1g2dety summary:where(.svelte-1g2dety){cursor:pointer;list-style:none;display:flex;align-items:baseline;gap:var(--s-2);padding:4px 0}.layers-group.svelte-1g2dety summary:where(.svelte-1g2dety)::-webkit-details-marker{display:none}.layers-caret.svelte-1g2dety{font-size:10px;color:var(--ink-tertiary);transition:transform .2s ease}.layers-group.svelte-1g2dety:not([open]) .layers-caret:where(.svelte-1g2dety){transform:rotate(-90deg)}.layers-stone-name.svelte-1g2dety{font-family:var(--font-serif);font-style:italic;font-size:16px;color:var(--ink)}.layers-stone-tag.svelte-1g2dety{font-family:var(--font-mono);font-size:11px;color:var(--ink-tertiary);letter-spacing:.04em}.layers-count.svelte-1g2dety{margin-left:auto;font-family:var(--font-mono);font-size:10px;color:var(--ink-tertiary);letter-spacing:.05em;text-transform:lowercase}.layers-list.svelte-1g2dety{list-style:none;margin:4px 0 var(--s-2);padding:0;display:flex;flex-direction:column}.layers-row.svelte-1g2dety{display:grid;grid-template-columns:16px 1fr auto;gap:var(--s-2);align-items:center;padding:4px 0;font-family:var(--font-mono);font-size:11px;color:var(--ink);border-bottom:1px dotted var(--rule-soft)}.layers-row.svelte-1g2dety:last-child{border-bottom:0}.layers-row.dim.svelte-1g2dety{opacity:.7}.layers-glyph.svelte-1g2dety{display:inline-flex;align-items:center}.layers-text.svelte-1g2dety{display:flex;flex-direction:column;gap:2px}.layers-label.svelte-1g2dety{color:var(--ink);font-family:var(--font-sans);font-size:12px}.layers-meta.svelte-1g2dety{font-family:var(--font-mono);font-size:10px;color:var(--ink-tertiary);display:inline-flex;align-items:center;gap:4px}.layers-state.svelte-1g2dety{font-family:var(--font-mono);font-size:10px;letter-spacing:.05em;color:var(--ink);text-transform:uppercase}.layers-state-dim.svelte-1g2dety{color:var(--ink-tertiary);text-transform:lowercase;font-style:italic}.layers-row-empty.svelte-1g2dety .layers-empty-text:where(.svelte-1g2dety){grid-column:1 / -1;color:var(--ink-tertiary);font-style:italic;font-family:var(--font-mono);font-size:11px}.layers-masters.svelte-1g2dety{border-top:1px solid 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strong:where(.svelte-1vuwkv4){font-weight:600;color:var(--ink);margin-right:2px}.rh-sep.svelte-1vuwkv4{opacity:.5}.rh-silent.svelte-1vuwkv4{color:var(--ink-tertiary)}.rh-warn.svelte-1vuwkv4{color:#b7791f}.rh-err.svelte-1vuwkv4{color:#b91c1c}.rh-notinvoked.svelte-1vuwkv4{color:var(--ink-tertiary);font-style:italic}.rh-total.svelte-1vuwkv4 strong:where(.svelte-1vuwkv4){color:var(--ink-tertiary)}.rh-em.svelte-1vuwkv4{cursor:help;color:var(--ink-secondary)}.rh-em.svelte-1vuwkv4 strong:where(.svelte-1vuwkv4){color:var(--ink)}.rh-em-tok.svelte-1vuwkv4{margin-left:4px;opacity:.75}.rh-em-ratio.svelte-1vuwkv4{margin-left:6px;padding:1px 5px;border:1px solid var(--rule-soft);border-radius:2px;font-size:10px;letter-spacing:.03em;color:var(--ink-tertiary)}.body-headline.svelte-lygj3j{padding:var(--s-3) var(--s-4) var(--s-2);display:flex;flex-direction:column;gap:var(--s-1)}.fc.is-compact .body-headline.svelte-lygj3j{padding:var(--s-2) 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web/sveltekit/build/_app/immutable/chunks/CAMdvC-O.js

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E=n(g,2),I=r(E);t(E),t(N);var H=n(N,2),D=r(H,!0);t(H);var z=n(H,2);Za(z,{get card(){return e.card}});var O=n(z,2),W=r(O);{var P=ae=>{var Q=Xa(),Z=r(Q),le=r(Z,!0);t(Z),re(2),t(Q),C(()=>{y(Q,"title",`Open ${e.card.docId} in citation drawer`),f(le,e.card.docId)}),Ne("click",Q,u),c(ae,Q)},T=ae=>{var Q=Ja(),Z=r(Q,!0);t(Q),C(()=>f(Z,e.card.docId)),c(ae,Q)};L(W,ae=>{e.card.citeId?ae(P):ae(T,-1)})}var A=n(W,2),F=r(A);ge(F,{get tier(){return e.card.tier},size:9,get color(){return`var(--tier-${e.card.tier??""})`}});var Y=n(F,2),K=r(Y,!0);t(Y),t(A),t(O),C(()=>{y(k,"title",e.card.agency),f(B,e.card.source),f(I,`v. ${e.card.vintage??""}`),y(H,"id",`fc-${e.card.id}-title`),f(D,e.card.title),ue(A,1,`fc-tier-badge fc-tier-badge-${e.card.tier??""}`,"svelte-1nuvnzu"),y(A,"aria-label",`epistemic tier ${a(i)}`),f(K,a(i))}),c(l,p)}),c(R,x),J()}Ce(["click"]);var er=b('<span class="sep svelte-1qqbvs2">·</span> <span class="silent svelte-1qqbvs2"><strong class="svelte-1qqbvs2"> </strong> 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m=q(()=>w(e.members)),M=q(()=>a(m).filter(P=>P.status==="fired"||P.status==="warned").length),i=q(()=>a(m).filter(P=>P.status==="silent_by_design").length),h=q(()=>a(m).filter(P=>P.status==="warned").length),d=q(()=>a(m).filter(P=>P.status==="errored").length),_=q(()=>a(m).filter(P=>P.status==="not_invoked").length),u=q(()=>e.members.reduce((P,T)=>Math.max(P,T.ms??0),0));function S(P){return P===0?"—":P<1e3?`${P}ms`:`${(P/1e3).toFixed(1)}s`}var x=sr(),o=r(x),s=r(o);t(o);var l=n(o,4),p=r(l),N=r(p,!0);t(p),re(),t(l);var g=n(l,2);{var v=P=>{var T=er(),A=n(ee(T),2),F=r(A),Y=r(F,!0);t(F),re(),t(A),C(()=>f(Y,a(i))),c(P,T)};L(g,P=>{a(i)>0&&P(v)})}var k=n(g,2);{var B=P=>{var T=tr(),A=n(ee(T),2),F=r(A),Y=r(F,!0);t(F),re(),t(A),C(()=>f(Y,a(h))),c(P,T)};L(k,P=>{a(h)>0&&P(B)})}var E=n(k,2);{var I=P=>{var T=ar(),A=n(ee(T),2),F=r(A),Y=r(F,!0);t(F),re(),t(A),C(()=>f(Y,a(d))),c(P,T)};L(E,P=>{a(d)>0&&P(I)})}var H=n(E,2);{var D=P=>{var 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h.status==="warned"?"#B7791F":h.status==="errored"?"#B91C1C":h.status==="silent_by_design"||h.status==="not_invoked"?"var(--ink-tertiary)":h.tier?`var(--tier-${h.tier})`:"var(--ink)"}var i=cr();te(i,21,()=>e.members,h=>h.id,(h,d)=>{var _=vr(),u=ee(_),S=r(u),x=r(S,!0);t(S);var o=n(S,2),s=r(o,!0);t(o);var l=n(o,2);{var p=D=>{var z=nr(),O=r(z);{let W=q(()=>`var(--tier-${a(d).tier})`);ge(O,{get tier(){return a(d).tier},size:9,get color(){return a(W)}})}t(z),c(D,z)};L(l,D=>{a(d).tier&&D(p)})}var N=n(l,2),g=r(N,!0);t(N);var v=n(N,2);{var k=D=>{var z=lr(),O=r(z);t(z),C(()=>f(O,`— ${a(d).note??""}`)),c(D,z)};L(v,D=>{a(d).note&&D(k)})}var B=n(v,2);{var E=D=>{var z=or(),O=r(z,!0);t(z),C(W=>f(O,W),[()=>a(d).ms<1e3?`${a(d).ms}ms`:`${(a(d).ms/1e3).toFixed(1)}s`]),c(D,z)};L(B,D=>{a(d).ms!=null&&D(E)})}t(u);var I=n(u,2);{var H=D=>{var z=dr(),O=r(z);{let W=q(()=>w()+1);qe(O,{get members(){return a(d).children},get depth(){return a(W)}})}t(z),c(D,z)};L(I,D=>{var z;(z=a(d).children)!=null&&z.length&&D(H)})}C((D,z)=>{ue(u,1,`prov-row prov-status-${a(d).status??""}`,"svelte-qakefz"),oe(S,`color: ${D??""};`),f(x,z),f(s,a(d).id),f(g,a(d).name)},[()=>M(a(d)),()=>m(a(d).status)]),c(h,_)}),t(i),C(()=>oe(i,`--depth: ${w()??""};`)),c(R,i),J()}var ur=b('<div class="silent svelte-16iv0n8"><span class="silent-tag svelte-16iv0n8">silent</span> <p class="silent-prose svelte-16iv0n8"><!></p></div>'),gr=b("<div></div>"),hr=b('<div class="prov-body svelte-16iv0n8"><!></div>'),mr=b('<section><header class="region-head svelte-16iv0n8"><div class="region-head-left svelte-16iv0n8"><span class="region-num svelte-16iv0n8"> </span> <h3 class="region-name svelte-16iv0n8"> </h3> <span class="region-role svelte-16iv0n8"> </span> <span class="region-tag svelte-16iv0n8"> </span></div> <!></header> <!> <div class="prov svelte-16iv0n8"><button type="button" class="prov-toggle svelte-16iv0n8"><span class="prov-caret svelte-16iv0n8" aria-hidden="true"> </span> <span 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svelte-gwg123"></div></section>');function _r(R,e){let w=ne(e,"density",3,"comfortable");const m=[{id:"grm-headline",stone:"cornerstone",tier:"modeled",variant:"headline",source:"FEMA",agency:"spec",vintage:"spec",title:"Single big number, scenario-tagged",headline:"Zone AE",subhead:"preliminary FIRM, panel ID",sub:"Use when the answer is one categorical state.",docId:"DS-HEADLINE"},{id:"grm-tabular",stone:"cornerstone",tier:"empirical",variant:"tabular",source:"USGS",agency:"spec",vintage:"spec",title:"Small table of observations",columns:["id","value","dist."],rows:[["ROW-001","1.2 m","0.18 mi"],["ROW-002","0.9 m","0.32 mi"],["ROW-003","0.7 m","0.41 mi"]],sub:"Use when 3–8 records each carry the same fields.",docId:"DS-TABULAR"},{id:"grm-scalars",stone:"touchstone",tier:"empirical",variant:"scalars",source:"NWS",agency:"spec",vintage:"spec",title:"Trio of scalar readings",scalars:[{value:"0.02 in",label:"precip · 24h"},{value:"11 mph",label:"wind"},{value:"63°F",label:"temp"}],sub:"Use for current-state dashboards.",docId:"DS-SCALARS"},{id:"grm-spark",stone:"touchstone",tier:"empirical",variant:"spark",source:"FloodNet",agency:"spec",vintage:"spec",title:"Sparkline of recent events",headline:"n events",subhead:"window · peak",spark:[1,2,4,3,7,12,8,5,3,2,4,9,6],docId:"DS-SPARK"},{id:"grm-histogram",stone:"touchstone",tier:"proxy",variant:"histogram",source:"NYC 311",agency:"spec",vintage:"spec",title:"Histogram of binned counts",headline:"n calls",subhead:"window · seasonal note",histogram:[3,2,1,0,1,4,7,12,18,11,5,3,4,2,1,0,2,3,8,9,4,2,1,0],docId:"DS-HIST"},{id:"grm-timeseries",stone:"lodestone",tier:"modeled",variant:"timeseries",source:"Granite TTM",agency:"spec",vintage:"spec",title:"Forecast curve with horizon",headline:"+0.41 m peak",subhead:"+38h · 90% CI",timeseries:{hours:96,peak:{x:38,y:41},peakLabel:"+0.41 m"},spatialNote:"regional",sub:"Spatial-index callout when station ≠ 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tag.",docId:"DS-RASTERPRED"},{id:"grm-register",stone:"keystone",tier:"empirical",variant:"register",source:"NYC OpenData",agency:"spec",vintage:"spec",title:"Composite register list",registers:[{reg:"MTA",tier:"empirical",label:"Station entrance",detail:"0.18 mi · 5",sourceId:"MTA-X",note:null},{reg:"NYCHA",tier:"empirical",label:"Development",detail:"0.41 mi · 2,878 res.",sourceId:"NYCHA-Y",note:null},{reg:"DOH",tier:"empirical",label:null,detail:null,sourceId:null,note:"no acute-care hospital within 1.0 mi"}],sub:"Use when many specialists join into one Stone.",docId:"DS-REGISTER"},{id:"grm-comparison",stone:"keystone",tier:"synthetic",variant:"comparison",source:"EMP × SYN",agency:"spec",vintage:"spec",title:"Documented vs. interpreted",left:{tier:"empirical",label:"documented",value:"31.4%",aux:"n polygons"},right:{tier:"synthetic",label:"interpreted",value:"29.8%",aux:"n polygons"},delta:"Δ = −1.6 pp · agreement strong",sub:"Use to surface model–ground-truth deltas.",docId:"DS-CMP"},{id:"grm-meta",stone:"capstone",tier:"modeled",variant:"meta",source:"Mellea",agency:"spec",vintage:"spec",title:"Capstone reconciliation",metaRows:[{k:"claims",v:"12 / 12 grounded"},{k:"tier mix",v:"EMP 5 · MOD 4 · PRX 2 · SYN 1"},{k:"tier-1 freshness",v:"median 38 d"},{k:"warnings",v:"0"}],sub:"Use to expose the synthesis layer's audit.",docId:"DS-META"}];var M=yr(),i=r(M),h=n(r(i),2),d=r(h);t(h),t(i);var _=n(i,2);te(_,21,()=>m,u=>u.id,(u,S)=>{Pe(u,{get card(){return a(S)},get density(){return w()}})}),t(_),t(M),C(()=>f(d,`${m.length??""} variants`)),c(R,M)}var pr=b('<section class="findings svelte-ci42t5" aria-label="Findings, grouped by Stone"><header class="findings-head svelte-ci42t5"><h2 class="findings-h2 svelte-ci42t5">Findings · grouped by Stone</h2> <span class="findings-tagline svelte-ci42t5">cards = what each Stone found · provenance collapses below</span></header> <!> <!> <!></section>');function Er(R,e){X(e,!0);let 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l;s.stopPropagation(),e.card.citeId&&((l=e.onCite)==null||l.call(e,e.card.citeId))}function S(s){var l;a(g)&&(s.key==="Enter"||s.key===" ")&&(s.preventDefault(),(l=e.onLink)==null||l.call(e,e.card.mapLayer??null))}var x=Me(),o=te(x);ut(o,()=>a(g)?"button":"article",!1,(s,l)=>{it(s,()=>({type:a(g)?"button":void 0,role:a(g)?"button":"article",class:`fc fc-${e.card.variant??""} fc-tier-${e.card.tier??""}`,"aria-labelledby":`fc-${e.card.id}-title`,"aria-label":`${Pe[e.card.tier].label} card · ${e.card.title} · ${e.card.source}`,onpointerenter:d,onpointerleave:p,onfocus:d,onblur:p,onkeydown:S,[nt]:{"is-compact":w()==="compact","is-linked":a(M),"is-interactive":a(g),"has-illustrative":e.card.illustrative||e.card.tier==="synthetic"||e.card.variant==="comparison"}}),void 0,void 0,void 0,"svelte-1nuvnzu");var b=vr(),N=te(b),u=r(N),v=r(u);me(v,{get tier(){return e.card.tier},size:11,get color(){return`var(--tier-${e.card.tier??""})`}});var k=n(v,2),L=r(k,!0);t(k),t(u);var T=n(u,2),O=r(T);t(T),t(N);var j=n(N,2),I=r(j,!0);t(j);var z=n(j,2);lr(z,{get card(){return e.card}});var H=n(z,2),U=r(H);{var D=re=>{var G=or(),X=r(G),le=r(X,!0);t(X),se(2),t(G),C(()=>{_(G,"title",`Open ${e.card.docId} in citation drawer`),m(le,e.card.docId)}),Re("click",G,h),c(re,G)},q=re=>{var G=dr(),X=r(G,!0);t(G),C(()=>m(X,e.card.docId)),c(re,G)};B(U,re=>{e.card.citeId?re(D):re(q,-1)})}var E=n(U,2),F=r(E);me(F,{get tier(){return e.card.tier},size:9,get color(){return`var(--tier-${e.card.tier??""})`}});var Y=n(F,2),Q=r(Y,!0);t(Y),t(E),t(H),C(()=>{_(k,"title",e.card.agency),m(L,e.card.source),m(O,`v. ${e.card.vintage??""}`),_(j,"id",`fc-${e.card.id}-title`),m(I,e.card.title),ge(E,1,`fc-tier-badge fc-tier-badge-${e.card.tier??""}`,"svelte-1nuvnzu"),_(E,"aria-label",`epistemic tier ${a(i)}`),m(Q,a(i))}),c(l,b)}),c(R,x),ee()}Fe(["click"]);var cr=y('<span class="sep svelte-1qqbvs2">·</span> <span class="silent svelte-1qqbvs2"><strong class="svelte-1qqbvs2"> </strong> 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f=P(()=>w(e.members)),M=P(()=>a(f).filter(D=>D.status==="fired"||D.status==="warned").length),i=P(()=>a(f).filter(D=>D.status==="silent_by_design").length),g=P(()=>a(f).filter(D=>D.status==="warned").length),d=P(()=>a(f).filter(D=>D.status==="errored").length),p=P(()=>a(f).filter(D=>D.status==="not_invoked").length),h=P(()=>e.members.reduce((D,q)=>Math.max(D,q.ms??0),0));function S(D){return D===0?"—":D<1e3?`${D}ms`:`${(D/1e3).toFixed(1)}s`}var x=mr(),o=r(x),s=r(o);t(o);var l=n(o,4),b=r(l),N=r(b,!0);t(b),se(),t(l);var u=n(l,2);{var v=D=>{var q=cr(),E=n(te(q),2),F=r(E),Y=r(F,!0);t(F),se(),t(E),C(()=>m(Y,a(i))),c(D,q)};B(u,D=>{a(i)>0&&D(v)})}var k=n(u,2);{var L=D=>{var q=ur(),E=n(te(q),2),F=r(E),Y=r(F,!0);t(F),se(),t(E),C(()=>m(Y,a(g))),c(D,q)};B(k,D=>{a(g)>0&&D(L)})}var T=n(k,2);{var O=D=>{var q=hr(),E=n(te(q),2),F=r(E),Y=r(F,!0);t(F),se(),t(E),C(()=>m(Y,a(d))),c(D,q)};B(T,D=>{a(d)>0&&D(O)})}var j=n(T,2);{var I=D=>{var q=gr(),E=n(te(q),2),F=r(E),Y=r(F,!0);t(F),se(),t(E),C(()=>m(Y,a(p))),c(D,q)};B(j,D=>{a(p)>0&&D(I)})}var z=n(j,4),H=r(z),U=r(H,!0);t(H),t(z),t(x),C(D=>{m(s,`${e.cardCount??""} card${e.cardCount===1?"":"s"}`),m(N,a(M)),m(U,D)},[()=>S(a(h))]),c(R,x),ee()}var _r=y('<span class="prov-tier svelte-qakefz"><!></span>'),yr=y('<span class="prov-note svelte-qakefz"> </span>'),pr=y('<span class="prov-ms svelte-qakefz"> </span>'),xr=y('<li class="prov-children svelte-qakefz"><!></li>'),br=y('<li><span class="prov-pip svelte-qakefz" aria-hidden="true"> </span> <span class="prov-id svelte-qakefz"> </span> <!> <span class="prov-name svelte-qakefz"> </span> <!> <!></li> <!>',1),wr=y('<ul class="prov-tree svelte-qakefz"></ul>');function He(R,e){$(e,!0);let w=ne(e,"depth",3,0);function f(g){return{fired:"●",silent_by_design:"○",warned:"▲",errored:"■",not_invoked:"□"}[g]}function M(g){return g.status==="warned"?"#B7791F":g.status==="errored"?"#B91C1C":g.status==="silent_by_design"||g.status==="not_invoked"?"var(--ink-tertiary)":g.tier?`var(--tier-${g.tier})`:"var(--ink)"}var i=wr();ae(i,21,()=>e.members,g=>g.id,(g,d)=>{var p=br(),h=te(p),S=r(h),x=r(S,!0);t(S);var o=n(S,2),s=r(o,!0);t(o);var l=n(o,2);{var b=I=>{var z=_r(),H=r(z);{let U=P(()=>`var(--tier-${a(d).tier})`);me(H,{get tier(){return a(d).tier},size:9,get color(){return a(U)}})}t(z),c(I,z)};B(l,I=>{a(d).tier&&I(b)})}var N=n(l,2),u=r(N,!0);t(N);var v=n(N,2);{var k=I=>{var z=yr(),H=r(z);t(z),C(()=>m(H,`— ${a(d).note??""}`)),c(I,z)};B(v,I=>{a(d).note&&I(k)})}var L=n(v,2);{var T=I=>{var z=pr(),H=r(z,!0);t(z),C(U=>m(H,U),[()=>a(d).ms<1e3?`${a(d).ms}ms`:`${(a(d).ms/1e3).toFixed(1)}s`]),c(I,z)};B(L,I=>{a(d).ms!=null&&I(T)})}t(h);var O=n(h,2);{var j=I=>{var z=xr(),H=r(z);{let U=P(()=>w()+1);He(H,{get members(){return a(d).children},get depth(){return a(U)}})}t(z),c(I,z)};B(O,I=>{var z;(z=a(d).children)!=null&&z.length&&I(j)})}C((I,z)=>{ge(h,1,`prov-row prov-status-${a(d).status??""}`,"svelte-qakefz"),ve(S,`color: ${I??""};`),m(x,z),m(s,a(d).id),m(u,a(d).name)},[()=>M(a(d)),()=>f(a(d).status)]),c(g,p)}),t(i),C(()=>ve(i,`--depth: ${w()??""};`)),c(R,i),ee()}var kr=y('<div class="silent svelte-16iv0n8"><span class="silent-tag svelte-16iv0n8">silent</span> <p class="silent-prose svelte-16iv0n8"><!></p></div>'),Sr=y("<div></div>"),Mr=y('<div class="prov-body svelte-16iv0n8"><!></div>'),Cr=y('<section><header class="region-head svelte-16iv0n8"><div class="region-head-left svelte-16iv0n8"><span class="region-num svelte-16iv0n8"> </span> <h3 class="region-name svelte-16iv0n8"> </h3> <span class="region-role svelte-16iv0n8"> </span> <span class="region-tag svelte-16iv0n8"> </span></div> <!></header> <!> <div class="prov svelte-16iv0n8"><button type="button" class="prov-toggle svelte-16iv0n8"><span class="prov-caret svelte-16iv0n8" aria-hidden="true"> </span> <span 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svelte-gwg123"></div></section>');function Lr(R,e){let w=ne(e,"density",3,"comfortable");const f=[{id:"grm-headline",stone:"cornerstone",tier:"modeled",variant:"headline",source:"FEMA",agency:"spec",vintage:"spec",title:"Single big number, scenario-tagged",headline:"Zone AE",subhead:"preliminary FIRM, panel ID",sub:"Use when the answer is one categorical state.",docId:"DS-HEADLINE"},{id:"grm-tabular",stone:"cornerstone",tier:"empirical",variant:"tabular",source:"USGS",agency:"spec",vintage:"spec",title:"Small table of observations",columns:["id","value","dist."],rows:[["ROW-001","1.2 m","0.18 mi"],["ROW-002","0.9 m","0.32 mi"],["ROW-003","0.7 m","0.41 mi"]],sub:"Use when 3–8 records each carry the same fields.",docId:"DS-TABULAR"},{id:"grm-scalars",stone:"touchstone",tier:"empirical",variant:"scalars",source:"NWS",agency:"spec",vintage:"spec",title:"Trio of scalar readings",scalars:[{value:"0.02 in",label:"precip · 24h"},{value:"11 mph",label:"wind"},{value:"63°F",label:"temp"}],sub:"Use for current-state dashboards.",docId:"DS-SCALARS"},{id:"grm-spark",stone:"touchstone",tier:"empirical",variant:"spark",source:"FloodNet",agency:"spec",vintage:"spec",title:"Sparkline of recent events",headline:"n events",subhead:"window · peak",spark:[1,2,4,3,7,12,8,5,3,2,4,9,6],docId:"DS-SPARK"},{id:"grm-histogram",stone:"touchstone",tier:"proxy",variant:"histogram",source:"NYC 311",agency:"spec",vintage:"spec",title:"Histogram of binned counts",headline:"n calls",subhead:"window · seasonal note",histogram:[3,2,1,0,1,4,7,12,18,11,5,3,4,2,1,0,2,3,8,9,4,2,1,0],docId:"DS-HIST"},{id:"grm-timeseries",stone:"lodestone",tier:"modeled",variant:"timeseries",source:"Granite TTM",agency:"spec",vintage:"spec",title:"Forecast curve with horizon",headline:"+0.41 m peak",subhead:"+38h · 90% CI",timeseries:{hours:96,peak:{x:38,y:41},peakLabel:"+0.41 m"},spatialNote:"regional",sub:"Spatial-index callout when station ≠ 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(recent <30% cloud Sentinel-2 missing) or no high-confidence prediction"}],touchstone:[{id:"TCH-001",name:"floodnet.history",stepNames:["floodnet"],tier:"empirical",skipReason:"FloodNet sensor: no deployments within 600 m"},{id:"TCH-002",name:"nyc311.flood_complaints",stepNames:["nyc311","nyc311_nta"],tier:"proxy",skipReason:"NYC 311: no flood-relevant complaints within 200 m"},{id:"TCH-003",name:"nws_obs.metar",stepNames:["nws_obs"],tier:"empirical",skipReason:"NWS hourly METAR: nearest ASOS reports no precipitation"},{id:"TCH-004",name:"noaa_coops.recent",stepNames:["noaa_tides"],tier:"empirical",skipReason:"NOAA tide gauge: nearest station >25 km from address"},{id:"TCH-005",name:"prithvi_nyc_pluvial",stepNames:["prithvi_live","prithvi_eo_live"],tier:"modeled",skipReason:"Prithvi-NYC-Pluvial: no <30% cloud Sentinel-2 chip available in the last 120 d for this address"},{id:"TCH-006",name:"terramind.lulc",stepNames:["terramind_lulc"],tier:"synthetic",skipReason:"TerraMind LULC: eo_chip fetch returned no Sentinel-2 tile for this address"}],lodestone:[{id:"LOD-001",name:"nws_alerts.flood_relevant",stepNames:["nws_alerts"],tier:"modeled",skipReason:"NWS public alerts: no active flood-relevant alerts at this address"},{id:"LOD-002",name:"ttm_battery_surge.zero_shot",stepNames:["ttm_forecast"],tier:"modeled",skipReason:"Granite TTM r2 zero-shot: forecast not interesting (peak |residual| < 0.3 ft)"},{id:"LOD-003",name:"ttm_battery_surge.fine_tune",stepNames:["ttm_battery_surge"],tier:"modeled",skipReason:"Granite TTM Battery fine-tune: forecast not interesting (peak |residual| < 0.3 m)"},{id:"LOD-004",name:"ttm_311_forecast",stepNames:["ttm_311_forecast"],tier:"modeled",skipReason:"NYC 311 weekly forecast: no per-address history to extrapolate"},{id:"LOD-005",name:"floodnet_forecast",stepNames:["floodnet_forecast"],tier:"modeled",skipReason:"FloodNet sensor recurrence: sensor has < silent-floor historical events; forecast omitted"},{id:"LOD-006",name:"npcc4.slr_projection",stepNames:["npcc4_projection"],tier:"modeled",skipReason:"NPCC4 SLR projection: not yet wired into FSM (static reference card on hold)"}],capstone:[{id:"CAP-001",name:"rag.granite_embedding",stepNames:["rag_granite_embedding"],tier:"proxy",skipReason:"Granite Embedding RAG: no policy retrieval (out-of-NYC scope)"},{id:"CAP-002",name:"gliner.typed_extraction",stepNames:["gliner_extract"],tier:"proxy",skipReason:"GLiNER typed extraction: no RAG hits to extract over"},{id:"CAP-003",name:"granite41.compose_briefing",stepNames:["reconcile_granite41","mellea_reconcile_address","reconcile_neighborhood","reconcile_development","reconcile_live_now"],tier:"modeled",skipReason:"Reconciler did not run (no grounded data available)"},{id:"CAP-004",name:"mellea.grounding_check",stepNames:["mellea_grounding"],tier:"modeled",skipReason:"Mellea grounding-check: rolled into reconcile step on this run"}]};function Pr(F,e){const w=xr[F]??[],m=new 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class="app-header-context">flood-exposure briefing</span></div> <div class="app-header-mid"><!></div> <div class="app-header-right"><a class="app-header-link" href="#methodology">methodology</a> <!> <!></div></div></header>');function ne(h,l){O(l,!0);let N=B(l,"query",3,null);function T(){if(typeof window>"u")return;const s=D.params.queryId??(D.url.pathname==="/q/sample"?"sample":"");s&&window.open(`/print/${encodeURIComponent(s)}`,"_blank","noopener")}var k=se(),g=o(k),m=o(g),w=o(m),A=o(w);U(A,{size:20}),L(),i(w),L(4),i(m);var _=t(m,2),j=o(_);{var a=s=>{var c=re(),F=t(o(c),2),Y=o(F,!0);i(F),L(2),i(c),P(()=>M(Y,N())),H("click",c,function(...I){var n;(n=l.onResetCold)==null||n.apply(this,I)}),u(s,c)};x(j,s=>{N()&&s(a)})}i(_);var d=t(_,2),e=t(o(d),2);{var C=s=>{var c=te();H("click",c,T),u(s,c)};x(e,s=>{r.ready&&s(C)})}var S=t(e,2);ae(S,{}),i(d),i(g),i(k),u(h,k),$()}z(["click"]);var oe=v(`<footer class="app-footer no-print"><div class="app-footer-inner"><p class="app-footer-guard"><strong>Riprap does not predict damage.</strong> This tool is for professional analytical work, not personal property decisions.
+import{c as E,a as u,s as M,f as v,d as z,e as H}from"../chunks/CWw6qgC_.js";import{p as O,f as R,o as p,a as $,al as f,s as t,c as o,r as i,t as P,aR as L}from"../chunks/BTUA7_xE.js";import{b as r,s as W}from"../chunks/DxQlA7U2.js";import{i as x}from"../chunks/Bd-v_9Ud.js";import{p as B}from"../chunks/CW0zSL4D.js";import{p as D}from"../chunks/B3Pg95Il.js";import{R as U}from"../chunks/DCD6_LXk.js";import{s as G}from"../chunks/B0XoTt7U.js";import"../chunks/DixtWtwq.js";const V=!0,J=!0,K="never",xe=Object.freeze(Object.defineProperty({__proto__:null,prerender:V,ssr:J,trailingSlash:K},Symbol.toStringTag,{value:"Module"}));var Q=v('<span class="status-sep svelte-1bjixce">·</span> <span class="status-step svelte-1bjixce"> </span>',1),X=v('<span class="status-sep svelte-1bjixce">·</span> <span class="status-progress svelte-1bjixce"> </span>',1),Z=v('<span class="status-sep svelte-1bjixce">·</span> <span class="status-err svelte-1bjixce"> </span>',1),ee=v('<span class="status svelte-1bjixce" 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synthesis",terramind_lulc:"TerraMind LULC",terramind_buildings:"TerraMind Buildings",eo_chip_fetch:"fetching S2/S1/DEM chip",rag_granite_embedding:"RAG retrieval",gliner_extract:"GLiNER typed extraction"};let T=f(()=>r.phase!=="idle"&&r.phase!=="done"),k=f(()=>{switch(r.phase){case"planning":return"planning intent";case"specialists":return"gathering evidence";case"reconciling":return"reconciling";case"streaming":return r.attempt>1?`writing (reroll ${r.attempt-1})`:"writing briefing";case"error":return"error";default:return""}}),g=f(()=>{const a=r.activeStep;return a?N[a]??a:null}),m=f(()=>{if(r.phase!=="specialists"&&r.phase!=="reconciling")return null;const a=r.firedCount,d=r.totalSpecialists;return d?`${a}/${d}`:a>0?`${a}`:null}),w=f(()=>r.phase==="error"?"err":"live");var A=E(),_=R(A);{var j=a=>{var d=ee(),e=t(o(d),2),C=o(e,!0);i(e);var S=t(e,2);{var s=n=>{var b=Q(),y=t(R(b),2),q=o(y,!0);i(y),P(()=>M(q,p(g))),u(n,b)};x(S,n=>{p(g)&&n(s)})}var c=t(S,2);{var F=n=>{var 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class="app-footer-guard"><strong>Riprap does not predict damage.</strong> This tool is for professional analytical work, not personal property decisions.
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web/sveltekit/build/_app/immutable/nodes/0.h-vIKZsr.js

@@ -1,2 +0,0 @@
-import{c as E,a as u,s as M,f as v,d as z,e as H}from"../chunks/CWw6qgC_.js";import{p as O,f as R,o as p,a as $,al as f,s as t,c as o,r as i,t as P,aR as L}from"../chunks/BTUA7_xE.js";import{b as r,s as W}from"../chunks/DxQlA7U2.js";import{i as x}from"../chunks/Bd-v_9Ud.js";import{p as B}from"../chunks/CW0zSL4D.js";import{p as D}from"../chunks/nUW4eUox.js";import{R as U}from"../chunks/DCD6_LXk.js";import{s as G}from"../chunks/B0XoTt7U.js";import"../chunks/DixtWtwq.js";const V=!0,J=!0,K="never",xe=Object.freeze(Object.defineProperty({__proto__:null,prerender:V,ssr:J,trailingSlash:K},Symbol.toStringTag,{value:"Module"}));var Q=v('<span class="status-sep svelte-1bjixce">·</span> <span class="status-step svelte-1bjixce"> </span>',1),X=v('<span class="status-sep svelte-1bjixce">·</span> <span class="status-progress svelte-1bjixce"> </span>',1),Z=v('<span class="status-sep svelte-1bjixce">·</span> <span class="status-err svelte-1bjixce"> </span>',1),ee=v('<span class="status svelte-1bjixce" 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synthesis",terramind_lulc:"TerraMind LULC",terramind_buildings:"TerraMind Buildings",eo_chip_fetch:"fetching S2/S1/DEM chip",rag_granite_embedding:"RAG retrieval",gliner_extract:"GLiNER typed extraction"};let T=f(()=>r.phase!=="idle"&&r.phase!=="done"),k=f(()=>{switch(r.phase){case"planning":return"planning intent";case"specialists":return"gathering evidence";case"reconciling":return"reconciling";case"streaming":return r.attempt>1?`writing (reroll ${r.attempt-1})`:"writing briefing";case"error":return"error";default:return""}}),g=f(()=>{const a=r.activeStep;return a?N[a]??a:null}),m=f(()=>{if(r.phase!=="specialists"&&r.phase!=="reconciling")return null;const a=r.firedCount,d=r.totalSpecialists;return d?`${a}/${d}`:a>0?`${a}`:null}),w=f(()=>r.phase==="error"?"err":"live");var A=E(),_=R(A);{var j=a=>{var d=ee(),e=t(o(d),2),C=o(e,!0);i(e);var S=t(e,2);{var s=n=>{var b=Q(),y=t(R(b),2),q=o(y,!0);i(y),P(()=>M(q,p(g))),u(n,b)};x(S,n=>{p(g)&&n(s)})}var c=t(S,2);{var F=n=>{var b=X(),y=t(R(b),2),q=o(y,!0);i(y),P(()=>M(q,p(m))),u(n,b)};x(c,n=>{p(m)&&n(F)})}var Y=t(c,2);{var I=n=>{var b=Z(),y=t(R(b),2),q=o(y,!0);i(y),P(()=>M(q,r.errorMessage)),u(n,b)};x(Y,n=>{r.phase==="error"&&r.errorMessage&&n(I)})}i(d),P(()=>{G(d,"data-kind",p(w)),M(C,p(k))}),u(a,d)};x(_,a=>{p(T)&&a(j)})}u(h,A),$()}var re=v('<button type="button" class="app-header-query" aria-label="Edit query"><span class="app-header-query-icon" aria-hidden="true">⌕</span> <span class="app-header-query-text"> </span> <span class="app-header-query-edit">edit</span></button>'),te=v('<button type="button" class="app-header-link app-header-link-button svelte-f1belb" aria-label="Open curated PDF view of completed briefing in new tab">export PDF</button>'),se=v('<header class="app-header no-print" data-screen-label="App header"><div class="app-header-inner"><div class="app-header-left"><a href="/" class="riprap-wordmark" aria-label="Riprap — home"><!>riprap</a> <span class="app-header-sep">/</span> <span class="app-header-context">flood-exposure briefing</span></div> <div class="app-header-mid"><!></div> <div class="app-header-right"><a class="app-header-link" href="#methodology">methodology</a> <!> <!></div></div></header>');function ne(h,l){O(l,!0);let N=B(l,"query",3,null);function T(){if(typeof window>"u")return;const s=D.params.queryId??(D.url.pathname==="/q/sample"?"sample":"");s&&window.open(`/print/${encodeURIComponent(s)}`,"_blank","noopener")}var k=se(),g=o(k),m=o(g),w=o(m),A=o(w);U(A,{size:20}),L(),i(w),L(4),i(m);var _=t(m,2),j=o(_);{var a=s=>{var c=re(),F=t(o(c),2),Y=o(F,!0);i(F),L(2),i(c),P(()=>M(Y,N())),H("click",c,function(...I){var n;(n=l.onResetCold)==null||n.apply(this,I)}),u(s,c)};x(j,s=>{N()&&s(a)})}i(_);var d=t(_,2),e=t(o(d),2);{var C=s=>{var c=te();H("click",c,T),u(s,c)};x(e,s=>{r.ready&&s(C)})}var S=t(e,2);ae(S,{}),i(d),i(g),i(k),u(h,k),$()}z(["click"]);var oe=v(`<footer class="app-footer no-print"><div class="app-footer-inner"><p class="app-footer-guard"><strong>Riprap does not predict damage.</strong> This tool is for professional analytical work, not personal property decisions.
-      For residents, see <a href="https://www.floodhelpny.org">FloodHelpNY</a> · <a href="https://www.floodnet.nyc">FloodNet NYC</a>.</p> <p class="app-footer-build">All foundation models Apache-2.0 · All data from public-record federal, state, and city sources · No commercial APIs contacted at runtime · Riprap v0.5.0 · build 2026-05-07</p> <p class="app-footer-credits">Dam mark: <a href="https://thenounproject.com/icon/dam-4516918/">"Dam" by Chintuza</a> via the Noun Project, CC-BY 3.0.</p></div></footer>`);function ie(h){var l=oe();u(h,l)}var pe=v('<a href="#region-briefing" class="skip-link">Skip to briefing</a> <a href="#region-map" class="skip-link" style="left: -9999px;">Skip to map</a> <a href="#region-trace" class="skip-link" style="left: -9999px;">Skip to trace</a>',1);function le(h){var l=pe();L(4),u(h,l)}var de=v("<!> <!>",1),ce=v('<!> <main class="svelte-12qhfyh"><!></main> <!>',1);function ke(h,l){O(l,!0);let N=f(()=>()=>{const e=D.params.queryId;if(!e)return null;try{return decodeURIComponent(e)}catch{return e}}),T=f(()=>D.url.pathname.startsWith("/print/")),k=f(()=>D.url.pathname==="/"),g=f(()=>p(T)||p(k));var m=ce(),w=R(m);{var A=e=>{var C=de(),S=R(C);le(S);var s=t(S,2);{let c=f(()=>p(N)());ne(s,{get query(){return p(c)},onResetCold:()=>window.location.href="/"})}u(e,C)};x(w,e=>{p(g)||e(A)})}var _=t(w,2),j=o(_);W(j,()=>l.children),i(_);var a=t(_,2);{var d=e=>{ie(e)};x(a,e=>{p(g)||e(d)})}u(h,m),$()}export{ke as component,xe as universal};

web/sveltekit/build/_app/immutable/nodes/{1.D77vIaPt.js → 1.BmImNqbK.js}

@@ -1 +1 @@
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web/sveltekit/build/_app/immutable/nodes/1.DtMBYvn3.js

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web/sveltekit/build/_app/immutable/nodes/2.BWTkJ8km.js

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n=be(),u=c(n);ve(u,l=>N(t,l),()=>d(t)),S(2),o(n),m(e,n),M()}var ke=w(`<section class="land-section svelte-1anw2jf"><div class="land-section-head svelte-1anw2jf"><span class="section-label">What you'll get back</span> <span class="land-section-meta svelte-1anw2jf">A grounded paragraph with citations, not a chatbot answer.</span></div> <div class="land-preview-grid svelte-1anw2jf"><div class="land-preview-pane land-preview-pane-excerpt svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Briefing excerpt</div> <p class="land-preview-body svelte-1anw2jf">The lot sits inside the FEMA <span class="land-preview-cite svelte-1anw2jf">1% AE flood zone <sup class="svelte-1anw2jf">[c3]</sup></span>,
-        with Sandy high-water marks recorded <span class="land-preview-cite svelte-1anw2jf">4.7 ft above grade <sup class="svelte-1anw2jf">[c1]</sup></span>.
-        FloodNet FN-BK-018 has logged <span class="land-preview-cite svelte-1anw2jf">14 nuisance floods since 2023 <sup class="svelte-1anw2jf">[c2]</sup></span>.</p> <div class="land-preview-cites svelte-1anw2jf"><div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c1]</span> <span class="land-preview-cite-src svelte-1anw2jf">USGS HWM · Sandy 2012</span> <span class="land-preview-cite-tier svelte-1anw2jf">empirical</span></div> <div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c2]</span> <span class="land-preview-cite-src svelte-1anw2jf">FloodNet FN-BK-018</span> <span class="land-preview-cite-tier svelte-1anw2jf">empirical</span></div> <div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c3]</span> <span class="land-preview-cite-src svelte-1anw2jf">FEMA NFHL · 36047C0207</span> <span class="land-preview-cite-tier svelte-1anw2jf">modeled</span></div></div></div> <div class="land-preview-pane land-preview-pane-cards svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Evidence cards</div> <div class="land-evcard-grid svelte-1anw2jf"><article class="land-evcard land-evcard-empirical svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">empirical</span> <span class="land-evcard-id svelte-1anw2jf">e1</span></header> <div class="land-evcard-claim svelte-1anw2jf">4.7 ft Sandy storm-surge HWM at address</div> <div class="land-evcard-source svelte-1anw2jf">USGS High-Water Mark database · 2012</div></article> <article class="land-evcard land-evcard-empirical svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">empirical</span> <span class="land-evcard-id svelte-1anw2jf">e2</span></header> <div class="land-evcard-claim svelte-1anw2jf">14 nuisance-flood events, 2023–2026</div> <div class="land-evcard-source svelte-1anw2jf">FloodNet FN-BK-018 · 2 blocks north</div></article> <article class="land-evcard land-evcard-modeled svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">modeled</span> <span class="land-evcard-id svelte-1anw2jf">e3</span></header> <div class="land-evcard-claim svelte-1anw2jf">FEMA 1% annual-chance (AE) flood zone</div> <div class="land-evcard-source svelte-1anw2jf">FEMA NFHL · panel 36047C0207</div></article> <article class="land-evcard land-evcard-modeled svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">modeled</span> <span class="land-evcard-id svelte-1anw2jf">e5</span></header> <div class="land-evcard-claim svelte-1anw2jf">+30 in MSL by 2070 (NPCC4 high)</div> <div class="land-evcard-source svelte-1anw2jf">NPCC4 SLR projection · 2024</div></article></div></div> <div class="land-preview-pane land-preview-pane-map svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Map</div> <!> <div class="land-preview-mapmeta svelte-1anw2jf">80 Pioneer St, Red Hook · z14.5 · Carto Positron</div></div></div></section>`);function Se(e){var s=ke(),r=f(c(s),2),t=f(c(r),4),a=f(c(t),2);_e(a,{}),S(2),o(t),o(r),o(s),m(e,s)}var Fe=w('<article class="land-stones-detail-cell svelte-1v6nt1t"><div class="land-stones-detail-num svelte-1v6nt1t"> </div> <h3 class="land-stones-detail-name svelte-1v6nt1t"> </h3> <div class="land-stones-detail-role svelte-1v6nt1t"> </div> <p class="land-stones-detail-tag svelte-1v6nt1t"> </p> <div class="land-stones-detail-sources svelte-1v6nt1t"> </div></article>'),xe=w(`<section class="land-section-stones-detail svelte-1v6nt1t" id="methodology"><div class="land-page svelte-1v6nt1t"><div class="land-section-head svelte-1v6nt1t"><span class="section-label">How Riprap reads a place</span> <span class="land-section-meta svelte-1v6nt1t">Five Stones · one taxonomy · every briefing</span></div> <p class="land-stones-deck svelte-1v6nt1t">Each briefing routes through a fixed taxonomy of public-record specialists. Each Stone is a class of evidence.
-      Together they form the briefing, and every claim in the output traces back to the Stone that produced it.</p> <div class="land-stones-detail svelte-1v6nt1t"></div></div></section>`);function Ce(e,s){P(s,!1);const r=[{name:"Cornerstone",role:"the hazard reader",tag:"what NYC's ground remembers",sources:"USGS HWMs · FEMA NFHL · DEP stormwater · Prithvi historical",tint:"var(--stone-cornerstone)"},{name:"Keystone",role:"the asset register",tag:"what's exposed",sources:"MTA · NYCHA · DOE · DOH · PLUTO",tint:"var(--stone-keystone)"},{name:"Touchstone",role:"the live observer",tag:"what's happening now",sources:"FloodNet sensors · 311 complaints · NWS · NOAA tide gauges",tint:"var(--stone-touchstone)"},{name:"Lodestone",role:"the projector",tag:"what's coming",sources:"NPCC4 · Granite TTM (zero-shot + NYC fine-tune) · NWS alerts",tint:"var(--stone-lodestone)"},{name:"Capstone",role:"the synthesizer",tag:"writes it all down",sources:"Granite 4.1 composer · Mellea grounding-check · WeasyPrint",tint:"var(--stone-capstone)"}];me();var t=xe(),a=c(t),n=f(c(a),4);$(n,7,()=>r,u=>u.name,(u,l,v)=>{var i=Fe();let j;var y=c(i),p=c(y,!0);o(y);var b=f(y,2),F=c(b,!0);o(b);var h=f(b,2),x=c(h,!0);o(h);var _=f(h,2),W=c(_,!0);o(_);var z=f(_,2),Y=c(z,!0);o(z),o(i),T(D=>{j=ce(i,"",j,{"--stone-tint":d(l).tint}),g(p,D),g(F,d(l).name),g(x,d(l).role),g(W,d(l).tag),g(Y,d(l).sources)},[()=>String(d(v)+1).padStart(2,"0")]),m(u,i)}),o(n),o(a),o(t),m(e,t),M()}var Ee=w('<footer class="land-footer svelte-1dcj612"><span class="land-footer-tiers svelte-1dcj612"><span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-emp svelte-1dcj612"></span>empirical</span> <span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-mod svelte-1dcj612"></span>modeled</span> <span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-prx svelte-1dcj612"></span>proxy</span> <span class="land-footer-tier svelte-1dcj612"><span class="lm-sw lm-sw-syn svelte-1dcj612"></span>synthetic</span></span> <span class="land-footer-build">Riprap v0.4.6 · NYC OpenData · FEMA NFHL · USGS · NPCC4 · Dam mark by Chintuza, Noun Project (CC-BY)</span></footer>');function Le(e){var s=Ee();m(e,s)}var Ne=w('<meta name="description" content="A citation-grounded flood-exposure briefing tool for any address, neighborhood, or BBL in New York City."/>'),Ae=w('<div class="land svelte-1uha8ag"><!> <div class="land-page svelte-1uha8ag"><!> <!></div> <!> <!></div>');function Ye(e){var s=Ae();ne("1uha8ag",v=>{var i=Ne();te(()=>{re.title="Riprap — Flood Exposure Briefing for NYC"}),m(v,i)});var r=c(s);he(r);var t=f(r,2),a=c(t);je(a,{});var n=f(a,2);Se(n),o(t);var u=f(t,2);Ce(u,{});var l=f(u,2);Le(l),o(s),m(e,s)}export{Ye as component};

web/sveltekit/build/_app/immutable/nodes/{2.Bas78CjE.js → 2.CLD-rsu4.js}

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n=be(),u=c(n);ve(u,l=>N(t,l),()=>d(t)),k(2),o(n),m(e,n),M()}var Se=w(`<section class="land-section svelte-1anw2jf"><div class="land-section-head svelte-1anw2jf"><span class="section-label">What you'll get back</span> <span class="land-section-meta svelte-1anw2jf">A grounded paragraph with citations, not a chatbot answer.</span></div> <div class="land-preview-grid svelte-1anw2jf"><div class="land-preview-pane land-preview-pane-excerpt svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Briefing excerpt</div> <p class="land-preview-body svelte-1anw2jf">The lot sits inside the FEMA <span class="land-preview-cite svelte-1anw2jf">1% AE flood zone <sup class="svelte-1anw2jf">[c3]</sup></span>,
         with Sandy high-water marks recorded <span class="land-preview-cite svelte-1anw2jf">4.7 ft above grade <sup class="svelte-1anw2jf">[c1]</sup></span>.
         FloodNet FN-BK-018 has logged <span class="land-preview-cite svelte-1anw2jf">14 nuisance floods since 2023 <sup class="svelte-1anw2jf">[c2]</sup></span>.</p> <div class="land-preview-cites svelte-1anw2jf"><div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c1]</span> <span class="land-preview-cite-src svelte-1anw2jf">USGS HWM · Sandy 2012</span> <span class="land-preview-cite-tier svelte-1anw2jf">empirical</span></div> <div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c2]</span> <span class="land-preview-cite-src svelte-1anw2jf">FloodNet FN-BK-018</span> <span class="land-preview-cite-tier svelte-1anw2jf">empirical</span></div> <div class="land-preview-cite-row svelte-1anw2jf"><span class="land-preview-cite-pin svelte-1anw2jf">[c3]</span> <span class="land-preview-cite-src svelte-1anw2jf">FEMA NFHL · 36047C0207</span> <span class="land-preview-cite-tier svelte-1anw2jf">modeled</span></div></div></div> <div class="land-preview-pane land-preview-pane-cards svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Evidence cards</div> <div class="land-evcard-grid svelte-1anw2jf"><article class="land-evcard land-evcard-empirical svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">empirical</span> <span class="land-evcard-id svelte-1anw2jf">e1</span></header> <div class="land-evcard-claim svelte-1anw2jf">4.7 ft Sandy storm-surge HWM at address</div> <div class="land-evcard-source svelte-1anw2jf">USGS High-Water Mark database · 2012</div></article> <article class="land-evcard land-evcard-empirical svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">empirical</span> <span class="land-evcard-id svelte-1anw2jf">e2</span></header> <div class="land-evcard-claim svelte-1anw2jf">14 nuisance-flood events, 2023–2026</div> <div class="land-evcard-source svelte-1anw2jf">FloodNet FN-BK-018 · 2 blocks north</div></article> <article class="land-evcard land-evcard-modeled svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">modeled</span> <span class="land-evcard-id svelte-1anw2jf">e3</span></header> <div class="land-evcard-claim svelte-1anw2jf">FEMA 1% annual-chance (AE) flood zone</div> <div class="land-evcard-source svelte-1anw2jf">FEMA NFHL · panel 36047C0207</div></article> <article class="land-evcard land-evcard-modeled svelte-1anw2jf"><header class="land-evcard-head svelte-1anw2jf"><span class="land-evcard-tier svelte-1anw2jf">modeled</span> <span class="land-evcard-id svelte-1anw2jf">e5</span></header> <div class="land-evcard-claim svelte-1anw2jf">+30 in MSL by 2070 (NPCC4 high)</div> <div class="land-evcard-source svelte-1anw2jf">NPCC4 SLR projection · 2024</div></article></div></div> <div class="land-preview-pane land-preview-pane-map svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Map</div> <!> <div class="land-preview-mapmeta svelte-1anw2jf">80 Pioneer St, Red Hook · z14.5 · Carto Positron</div></div></div></section>`);function ke(e){var s=Se(),r=f(c(s),2),t=f(c(r),4),a=f(c(t),2);_e(a,{}),k(2),o(t),o(r),o(s),m(e,s)}var Fe=w('<article class="land-stones-detail-cell svelte-1v6nt1t"><div class="land-stones-detail-num svelte-1v6nt1t"> </div> <h3 class="land-stones-detail-name svelte-1v6nt1t"> </h3> <div class="land-stones-detail-role svelte-1v6nt1t"> </div> <p class="land-stones-detail-tag svelte-1v6nt1t"> </p> <div class="land-stones-detail-sources svelte-1v6nt1t"> </div></article>'),xe=w(`<section class="land-section-stones-detail svelte-1v6nt1t" id="methodology"><div class="land-page svelte-1v6nt1t"><div class="land-section-head svelte-1v6nt1t"><span class="section-label">How Riprap reads a place</span> <span class="land-section-meta svelte-1v6nt1t">Five Stones · one taxonomy · every briefing</span></div> <p class="land-stones-deck svelte-1v6nt1t">Each briefing routes through a fixed taxonomy of public-record specialists. Each Stone is a class of evidence.
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web/sveltekit/build/_app/immutable/nodes/{3.Bi9lYhtb.js → 3.0RkbXXD4.js}

@@ -1,4 +1,4 @@
-import{d as ge,c as he,a as v,s as l,e as xe,f as p}from"../chunks/CWw6qgC_.js";import{p as ye,ai as we,f as $e,a as ke,aj as qe,o as e,a5 as F,ak as je,al as d,a4 as I,c as a,s,r as t,t as M}from"../chunks/BTUA7_xE.js";import{i as O}from"../chunks/Bd-v_9Ud.js";import{e as Se}from"../chunks/25_y8TFd.js";import{h as Fe}from"../chunks/cDW0xQNP.js";import{p as Ie}from"../chunks/nUW4eUox.js";import{B as Me,T as Oe}from"../chunks/BatqQaKj.js";import{l as Te}from"../chunks/DxQlA7U2.js";const Pe=!1,Re=!1,Ue=Object.freeze(Object.defineProperty({__proto__:null,prerender:Pe,ssr:Re},Symbol.toStringTag,{value:"Module"}));var Ae=p(`<div class="empty svelte-uialbm"><h1 class="svelte-uialbm">No briefing snapshot found</h1> <p>Run a briefing first at <a href="/" class="svelte-uialbm">riprap home</a>; once it finishes,
+import{d as ge,c as he,a as v,s as l,e as xe,f as p}from"../chunks/CWw6qgC_.js";import{p as ye,ai as we,f as $e,a as ke,aj as qe,o as e,a5 as F,ak as je,al as d,a4 as I,c as a,s,r as t,t as M}from"../chunks/BTUA7_xE.js";import{i as O}from"../chunks/Bd-v_9Ud.js";import{e as Se}from"../chunks/25_y8TFd.js";import{h as Fe}from"../chunks/cDW0xQNP.js";import{p as Ie}from"../chunks/B3Pg95Il.js";import{B as Me,T as Oe}from"../chunks/BatqQaKj.js";import{l as Te}from"../chunks/DxQlA7U2.js";const Pe=!1,Re=!1,Ue=Object.freeze(Object.defineProperty({__proto__:null,prerender:Pe,ssr:Re},Symbol.toStringTag,{value:"Module"}));var Ae=p(`<div class="empty svelte-uialbm"><h1 class="svelte-uialbm">No briefing snapshot found</h1> <p>Run a briefing first at <a href="/" class="svelte-uialbm">riprap home</a>; once it finishes,
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web/sveltekit/build/_app/immutable/nodes/3.KbM-URMV.js

@@ -1,7 +0,0 @@
-import{d as ge,c as he,a as v,s as l,e as xe,f as p}from"../chunks/CWw6qgC_.js";import{p as ye,ai as we,f as $e,a as ke,aj as qe,o as e,a5 as F,ak as je,al as d,a4 as I,c as a,s,r as t,t as M}from"../chunks/BTUA7_xE.js";import{i as O}from"../chunks/Bd-v_9Ud.js";import{e as Se}from"../chunks/25_y8TFd.js";import{h as Fe}from"../chunks/cDW0xQNP.js";import{p as Ie}from"../chunks/DlifwAOf.js";import{B as Me,T as Oe}from"../chunks/BatqQaKj.js";import{l as Te}from"../chunks/DxQlA7U2.js";const Pe=!1,Re=!1,Ue=Object.freeze(Object.defineProperty({__proto__:null,prerender:Pe,ssr:Re},Symbol.toStringTag,{value:"Module"}));var Ae=p(`<div class="empty svelte-uialbm"><h1 class="svelte-uialbm">No briefing snapshot found</h1> <p>Run a briefing first at <a href="/" class="svelte-uialbm">riprap home</a>; once it finishes,
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-        · ${e(i).attempts??1??""} reconcile${(e(i).attempts??1)===1?"":"s"}
-        · grounded by Mellea rejection sampling`),l(ne,e(P)?"Print dialog opened. Re-print anytime.":"Opening print dialog…"),l(oe,`Generated ${e(A)??""} ·
-      Riprap is grounded by Mellea rejection sampling over IBM Granite 4.1.
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web/sveltekit/build/_app/immutable/nodes/4.Cjv2wdud.js

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se=br(),Ie=g(se),Me=g(Ie);h(Ie),h(se),X(nt=>H(Me,`${nt??""}…`),[()=>n(K).slice(0,360)]),T(te,se)};V(re,te=>{n(K)&&te(Q)})}T(w,N)};V(d,w=>{n(l)>1&&w(v)})}var k=$(d,2);{var y=w=>{Tn(w,{get paragraph(){return n(m).paragraph},get citations(){return n(fe)},get targets(){return n(m).targets},get structuredA(){return n(We)},get structuredB(){return n(Ve)}})},f=w=>{var N=Ar(),M=we(N);Dt(M,{get blocks(){return n(_e)},get citations(){return n(fe)},streaming:!1});var re=$(M,2);{var Q=te=>{var se=xr();T(te,se)};V(re,te=>{n(x)||te(Q)})}T(w,N)},F=w=>{jn(w)},q=w=>{var N=kr(),M=$(g(N),2);{var re=Q=>{var te=Sr(),se=g(te),Ie=g(se);h(se);var Me=$(se,2),nt=g(Me,!0);h(Me),h(te),X(()=>{H(Ie,`Planner streaming (${n(u).length??""} chars)`),H(nt,n(u))}),T(Q,te)};V(M,Q=>{n(u)&&Q(re)})}h(N),T(w,N)},W=w=>{var N=Nr();T(w,N)};V(k,w=>{var N,M,re;((N=n(s))==null?void 0:N.intent)==="compare"&&((re=(M=n(m))==null?void 0:M.targets)==null?void 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n(wt)}}),h(w),h(F),X(()=>H(W,`A · ${n(ue).label??""}`)),T(f,F)};V(d,f=>{n(ue)&&f(v)})}var k=$(d,2);{var y=f=>{var F=Ir(),q=g(F),W=g(q);h(q);var w=$(q,2),N=g(w);it(N,{get address(){return n(pe)},get activeLayers(){return n(de)},get sandyEmpirical(){return n(xt)},get depModeled(){return n(At)},get syntheticPrior(){return n(St)},get proxy311(){return n(kt)},get idaHwm(){return n(Nt)}}),h(w),h(F),X(()=>H(W,`B · ${n(pe).label??""}`)),T(f,F)};V(k,f=>{n(pe)&&f(y)})}h(i),T(c,i)},ln=c=>{var i=jr(),d=g(i);it(d,{get address(){return n(ae)},get activeLayers(){return n(de)},get sandyEmpirical(){return n(Ne)},get depModeled(){return n(Ce)},get syntheticPrior(){return n($e)},get proxy311(){return n(qe)},get idaHwm(){return n(Fe)},get registerPoints(){return n(mt)},get registerPolygons(){return n(_t)},get terramindLulc(){return n(Ge)},get terramindBuildings(){return n(vt)},get prithviLive(){return n(ft)},get linkedKey(){return n(z)}});var v=$(d,2);yn(v,{get active(){return n(de)},get featureCounts(){return n(Gt)},onToggle:k=>_(de,{...n(de),[k]:!n(de)[k]},!0)}),h(i),T(c,i)};V(sn,c=>{var i;((i=n(s))==null?void 0:i.intent)==="compare"?c(on):n(ae)&&c(ln,1)})}h(et);var Ft=$(et,2),cn=g(Ft);hn(cn,{get citations(){return n(fe)}}),h(Ft),h(qt),h(Ze);var Tt=$(Ze,2),It=g(Tt),dn=g(It);gn(dn,{get data(){return n(ne)},density:D,provenanceMode:B,get showGrammar(){return n(j)},get linkedKey(){return n(z)},onLink:Z,onCite:ce}),h(It),h(Tt),h(Ct),h(Ke),X(c=>H(Jt,c),[()=>n(a)()]),T(r,Ke),Bt()}export{Vr as component,Wr as universal};

web/sveltekit/build/_app/immutable/nodes/5.6DbTPabk.js

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-import{d as z,e as V,a as U,f as q,s as j}from"../chunks/CWw6qgC_.js";import{p as Z,am as X,a5 as d,a4 as l,a9 as Q,ai as $,t as J,a as ee,s as r,c as e,o as i,r as t,al as te}from"../chunks/BTUA7_xE.js";import{B as ie}from"../chunks/BatqQaKj.js";import{f as re,R as ae,M as ne,C as se,F as oe}from"../chunks/CFg_rPYf.js";import{p as de,b as M}from"../chunks/DxQlA7U2.js";const le=!0,fe=Object.freeze(Object.defineProperty({__proto__:null,prerender:le},Symbol.toStringTag,{value:"Module"})),R="80 Pioneer Street · Red Hook · Brooklyn",y={c1:{id:"c1",n:1,tier:"empirical",source:"USGS",title:"Hurricane Sandy storm tide elevations, NY-NJ Harbor",docId:"USGS-OFR-2013-1234",url:"https://pubs.usgs.gov/of/2013/1234/",vintage:"2013-05",retrieved:"2026-04-28"},c2:{id:"c2",n:2,tier:"empirical",source:"NYC OEM",title:"Hurricane Sandy Inundation Zone (2012)",docId:"NYCOEM-SIZ-2013",url:"https://data.cityofnewyork.us/dataset/sandy-inundation-zone",vintage:"2013-01",retrieved:"2026-04-28"},c3:{id:"c3",n:3,tier:"empirical",source:"FloodNet NYC",title:"Sensor BK-RH-002 — Coffey Park, monthly exceedance",docId:"FN-BK-RH-002",url:"https://floodnet.nyc/sensor/BK-RH-002",vintage:"2026-04",retrieved:"2026-05-02"},c4:{id:"c4",n:4,tier:"modeled",source:"FEMA",title:"Preliminary Flood Insurance Rate Map, panel 36047C0207G",docId:"FEMA-FIRM-36047C0207G",url:"https://msc.fema.gov/portal/search",vintage:"2024-09",retrieved:"2026-04-28"},c5:{id:"c5",n:5,tier:"modeled",source:"NYC DEP",title:"Stormwater Flood Map — Moderate Stormwater Scenario",docId:"NYCDEP-SWFM-2024",url:"https://nyc.gov/stormwater-map",vintage:"2024-06",retrieved:"2026-04-28"},c6:{id:"c6",n:6,tier:"modeled",source:"NPCC4",title:"Sea-level rise projections, 2050 90th percentile",docId:"NPCC4-Ch3-Tbl3.2",url:"https://nyas.org/npcc4",vintage:"2024-03",retrieved:"2026-04-28"},c7:{id:"c7",n:7,tier:"proxy",source:"NYC 311",title:"Flooding service requests, BK CB6 2019–2025",docId:"NYC311-FLD-CB6",url:"https://data.cityofnewyork.us/311",vintage:"2025-12",retrieved:"2026-05-01"},c8:{id:"c8",n:8,tier:"proxy",source:"FEMA NFIP",title:"National Flood Insurance Program claims, tract 36047008500",docId:"NFIP-T36047008500",url:"https://www.fema.gov/openfema",vintage:"2024-12",retrieved:"2026-04-28"},c9:{id:"c9",n:9,tier:"synthetic",source:"TerraMind v1.2",title:"Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded)",docId:"RIPRAP-SYN-20250914",url:"#methodology-synthetic",vintage:"2025-09",retrieved:"2026-05-02"},c10:{id:"c10",n:10,tier:"modeled",source:"NYC DCP",title:"Waterfront Revitalization Program — Coastal Risk Area",docId:"NYCDCP-WRP-2022",url:"https://nyc.gov/dcp/wrp",vintage:"2022-11",retrieved:"2026-04-28"}},x=[{kind:"status",html:'<p class="briefing-deck"><strong>80 Pioneer Street, Red Hook, Brooklyn 11231.</strong> Block 597, Lot 30. Industrial Business Zone (IBZ-RH). Queried 2026-05-02 14:22 ET. <span class="briefing-meta">Briefing v0.4.2 · 9 specialists fired · 1 silent (TidalGauge: out of range)</span></p>'},{kind:"head",n:"01",label:"Status",title:"Coastal-edge, post-Sandy, multi-hazard"},{kind:"prose",parts:[{tier:"empirical",text:"The address sits 380 ft inland of the Erie Basin bulkhead, at a ground elevation of 6.2 ft NAVD88",cite:"c1"},{text:" — within the "},{tier:"empirical",text:"2012 Sandy Inundation Zone, which recorded a peak storm tide of 11.4 ft NAVD88 at the Battery",cite:"c2"},{text:" 2.4 mi to the northwest. "},{tier:"modeled",text:"FEMA's preliminary FIRM places the parcel in Zone AE (BFE 11 ft NAVD88)",cite:"c4"},{text:", a 4.8 ft freeboard above current grade. The site is upgradient of two FloodNet sensors and three blocks from a chronic 311 cluster."}]},{kind:"head",n:"02",label:"Empirical evidence",tier:"empirical"},{kind:"prose",parts:[{tier:"empirical",text:"FloodNet sensor BK-RH-002 (Coffey Park, 1,200 ft south) recorded 7 above-curb events between 2024-06 and 2026-04",cite:"c3"},{text:", with a peak depth of 14.3 cm during the 2025-09-29 nor'easter. "},{tier:"empirical",text:"USGS post-Sandy high-water marks within 500 ft cluster between 6.8 and 8.1 ft NAVD88",cite:"c1"},{text:", consistent with 0.6–1.9 ft of standing water at the queried address during the storm."}]},{kind:"head",n:"03",label:"Modeled scenarios",tier:"modeled"},{kind:"prose",parts:[{tier:"modeled",text:"DEP's Moderate Stormwater Scenario (2.13 in/hr design storm) shows ponding ≥4 in across the western half of the lot",cite:"c5"},{text:", routed by the 1.2% slope toward Imlay St. "},{tier:"modeled",text:"Under NPCC4's 2050 90th-percentile sea-level rise (30 in)",cite:"c6"},{text:", the parcel falls within the projected daily-tidal floodplain by mid-century. "},{tier:"synthetic",text:"Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded) was generated by TerraMind v1.2 and is presented as a prior, not an observation",cite:"c9"},{text:"; treat with appropriate caution."}]},{kind:"head",n:"04",label:"Policy context"},{kind:"prose",parts:[{tier:"proxy",text:"311 flood complaints within the surrounding census tract total 89 calls over 2019–2025, with seasonal clustering in Aug–Oct",cite:"c7"},{text:". "},{tier:"proxy",text:"NFIP claims aggregated to tract 36047008500 total $4.1M across 47 paid losses since 2000",cite:"c8"},{text:". "},{tier:"modeled",text:"The site lies within the NYC Waterfront Revitalization Program Coastal Risk Area; CEQR §817 review applies to any discretionary action",cite:"c10"},{text:"."}]}],ce={wallSeconds:14,cacheHit:.92,cards:[{id:"fc-fema",stone:"cornerstone",tier:"modeled",variant:"headline",source:"FEMA",agency:"Federal Emergency Management Agency",vintage:"2024-09",title:"Preliminary FIRM, panel 36047C0207G",headline:"Zone AE",subhead:"BFE 11 ft NAVD88 · freeboard +4.8 ft",body:"Address sits within the regulatory 1% annual-chance floodplain. Base Flood Elevation 11.0 ft NAVD88; first floor must be at or above this datum for NFIP rating.",docId:"FEMA-FIRM-36047C0207G",citeId:"c4",mapLayer:"fema-ae"},{id:"fc-hwm",stone:"cornerstone",tier:"empirical",variant:"tabular",source:"USGS",agency:"U.S. Geological Survey",vintage:"2013-05",title:"Post-Sandy high-water marks within 500 ft",columns:["id","elev.","dist."],rows:[["HWM-NY-3081","7.4 ft NAVD88","0.18 mi"],["HWM-NY-3082","8.1 ft NAVD88","0.22 mi"],["HWM-NY-3105","6.8 ft NAVD88","0.31 mi"]],sub:"3 marks · max 8.1 ft · surveyed Nov 2012",docId:"USGS-OFR-2013-1234",citeId:"c1",mapLayer:"hwm"},{id:"fc-stormwater",stone:"cornerstone",tier:"modeled",variant:"raster",source:"NYC DEP",agency:"NYC Dept. of Environmental Protection",vintage:"2024-06",title:"Stormwater Flood Map · moderate scenario",rasterKind:"stormwater",sub:"2.13 in/hr · ponding ≥4 in W half of lot · routed toward Imlay St",docId:"NYCDEP-SWFM-2024",citeId:"c5",mapLayer:"stormwater"},{id:"fc-register-rh",stone:"keystone",tier:"empirical",variant:"register",source:"NYC OpenData",agency:"NYC OpenData · multi-agency join",vintage:"2026-05",title:"Nearby exposed assets",registers:[{reg:"MTA",tier:"empirical",label:"Smith–9 St subway entrance",detail:"0.34 mi · F · G",sourceId:"MTA-ENT-N048",vintage:"2025-11",note:null},{reg:"NYCHA",tier:"empirical",label:"Red Hook East Houses",detail:"0.41 mi · 2,878 res.",sourceId:"NYCHA-RHE",vintage:"2025-Q3",note:null},{reg:"NYCHA",tier:"empirical",label:"Red Hook West Houses",detail:"0.52 mi · 3,142 res.",sourceId:"NYCHA-RHW",vintage:"2025-Q3",note:null},{reg:"DOE",tier:"empirical",label:"PS 27 Agnes Y. Humphrey",detail:"0.29 mi · 271 K-5",sourceId:"DOE-K027",vintage:"2024-25",note:null},{reg:"DOH",tier:"empirical",label:null,detail:null,sourceId:null,vintage:null,note:"no acute-care hospital within 1.0 mi (silent)"},{reg:"PLUTO",tier:"empirical",label:"Lot 36047 / 521 / 7",detail:"BIN 3018472 · MX-1",sourceId:"PLUTO-2024v2",vintage:"2024-12",note:null}],sub:"5 of 6 registers fired · 1 silent · joined within 1.0 mi",docId:"RIPRAP-EXP-RH80",citeId:"c-reg-rh",mapLayer:"registers"},{id:"fc-floodnet",stone:"touchstone",tier:"empirical",variant:"spark",source:"FloodNet",agency:"FloodNet NYC sensor network",vintage:"2026-04",title:"Sensor BK-RH-002, monthly above-curb events",headline:"7 events",subhead:"Jun 2024 → Apr 2026 · peak 14.3 cm",spark:[0,0,1,0,2,1,0,0,3,0,1,0,0,0,2,1,0,0,1,0,2,4,1,1],sparkSub:"Sensor located 0.21 mi N at Coffey & Van Brunt. Above-curb depth in cm; events ≥2 cm.",docId:"FN-BK-RH-002",citeId:"c3",mapLayer:"floodnet"},{id:"fc-311",stone:"touchstone",tier:"proxy",variant:"histogram",source:"NYC 311",agency:"NYC 311 service requests",vintage:"2025-12",title:"Recent 311 flood complaints, BK CB6",headline:"89 calls",subhead:"2019–2025 · seasonal cluster Aug–Oct",histogram:[3,2,1,0,1,4,7,12,18,11,5,3,4,2,1,0,2,3,8,9,4,2,1,0],sparkSub:"Filtered to complaint types: Sewer (Backup), Street Flooding, Catch Basin Clogged. Within 200 m of address.",docId:"NYC311-FLD-CB6",citeId:"c7",mapLayer:"complaints"},{id:"fc-prithvi-pluvial",stone:"touchstone",tier:"modeled",variant:"raster-pred",source:"Prithvi-NYC-Pluvial",agency:"NASA-IBM Prithvi v2 · NYC fine-tune",vintage:"2026-05-02 · Sentinel-2",title:"Pluvial flood prediction · Prithvi-NYC-Pluvial",rasterKind:"prithvi",headline:"0.3% flooded",subhead:"no flooding apparent · scene 2026-05-02",sub:"Model interpretation of imagery, not real-time observation. Confidence-mean 0.84 across non-flooded pixels.",docId:"PRITHVI-NYC-PLUV-V2-20260502",citeId:"c-prithvi",illustrative:!0,mapLayer:"prithvi-pluvial"},{id:"fc-terramind-lulc",stone:"touchstone",tier:"synthetic",variant:"lulc",source:"TerraMind v1.2",agency:"IBM TerraMind v1.2 · Sentinel-2 inputs",vintage:"Sentinel-2 · 2024-09-18",title:"Land use / land cover · TerraMind v1.2",rasterKind:"lulc",classMix:[{k:"urban",pct:62,color:"#C66"},{k:"water",pct:18,color:"#5B7FB4"},{k:"vegetation",pct:12,color:"#5B8A4A"},{k:"barren",pct:6,color:"#A89A78"},{k:"wetland",pct:2,color:"#D9C75A"}],sub:"Synthetic prior. LULC palette is a layer convention, not a tier signal.",docId:"TERRAMIND-LULC-20240918",citeId:"c-tm-lulc",illustrative:!0,mapLayer:"terramind-lulc"},{id:"fc-nws",stone:"touchstone",tier:"empirical",variant:"scalars",source:"NWS KNYC",agency:"NOAA · National Weather Service",vintage:"2026-05-05",title:"Current weather, station KNYC",scalars:[{value:"0.02 in",label:"precip · last 24h"},{value:"67°F",label:"temp · current"},{value:"PC",label:"conditions"}],sub:"Observation timestamp 2026-05-05 14:18 ET. Central Park station; not point-of-query.",docId:"NWS-KNYC",citeId:"c-nws",mapLayer:"nws"},{id:"fc-ttm-surge",stone:"lodestone",tier:"modeled",variant:"timeseries",source:"Granite TTM r2 (zero-shot)",agency:"IBM Granite-TimeSeries · regional",vintage:"2026-05-05 12:00 ET",title:"Storm surge nowcast at The Battery — 9.6 h horizon (regional)",timeseries:{hours:96,peak:{x:38,y:47},peakLabel:"+47 cm @ +38h"},headline:"+47 cm",subhead:"peak surge residual · 9.6h horizon · 6-min cadence",sub:"Regional disclosure. Nowcast applies city-wide via NOAA station 8518750. Distinct from the fine-tuned Battery surge nowcast.",spatialNote:"regional · The Battery, not point-of-query",docId:"ttm_battery_surge_zeroshot",citeId:"c-ttm",mapLayer:null},{id:"fc-ttm-surge-ft",stone:"lodestone",tier:"modeled",variant:"timeseries-ft",source:"msradam/Granite-TTM-r2-Battery-Surge",agency:"Granite TTM r2 · NYC-specialized fine-tune",vintage:"2026-05-05 12:00 ET",title:"Storm surge nowcast at The Battery — 96 h horizon (NYC-specialized fine-tune)",timeseries:{hours:96,peak:{x:38,y:53},peakLabel:"+53 cm @ +38h"},headline:"+53 cm",subhead:"peak surge · 96h horizon · hourly cadence",sub:"Fine-tuned on NYC tide-gauge history. Trained on AMD MI300X.",spatialNote:"regional · The Battery, not point-of-query",docId:"ttm_battery_surge_finetune",citeId:"c-ttm-ft",mapLayer:null,hfModelCard:"huggingface.co/msradam/Granite-TTM-r2-Battery-Surge",rmse:"0.157 m",skillVsPersistence:"−35% vs persistence",hardwareBadge:"MI300X"},{id:"fc-npcc4",stone:"lodestone",tier:"modeled",variant:"forecast",source:"NPCC4",agency:"NYC Panel on Climate Change, 4th Assessment",vintage:"2024-03",title:"Sea-level rise projections, Lower NY Harbor",forecast:[{year:2030,low:4,mid:6,high:9},{year:2050,low:13,mid:22,high:30},{year:2080,low:28,mid:49,high:75},{year:2100,low:38,mid:71,high:114}],sub:"inches MSL · 17th–83rd %ile range, median line. Battery tide-gauge baseline.",docId:"NPCC4-Ch3-Tbl3.2",citeId:"c6",mapLayer:null},{id:"fc-mellea-meta",stone:"capstone",tier:"modeled",variant:"meta",source:"Mellea",agency:"Capstone synthesis · grounding check",vintage:"2026-05-05 14:22 ET",title:"Briefing reconciliation",metaRows:[{k:"mellea reroll",v:"1 reroll"},{k:"grounding checks",v:"4/4 passed"},{k:"citations resolved",v:"4"},{k:"wall-clock",v:"24.0 s"}],sub:"Capstone produces prose, not cards. This meta-card summarizes the reconciler chain that wrote the four-section briefing above.",docId:"RIPRAP-CAP-RH80",citeId:null,mapLayer:null}],stones:[{key:"cornerstone",members:[{id:"CORN-001",name:"sandy_inundation",status:"fired",tier:"empirical",ms:412},{id:"CORN-002",name:"dep_stormwater",status:"fired",tier:"modeled",ms:540},{id:"CORN-003",name:"ida_hwm_2021",status:"fired",tier:"empirical",ms:612},{id:"CORN-004",name:"prithvi_eo_v2",status:"fired",tier:"modeled",ms:980},{id:"CORN-005",name:"microtopo_lidar",status:"fired",tier:"proxy",ms:1240}]},{key:"keystone",members:[{id:"KEY-001",name:"mta_entrance_exposure",status:"silent_by_design",tier:"empirical",ms:30,note:"no entrances within radius"},{id:"KEY-002",name:"nycha_development_exposure",status:"silent_by_design",tier:"empirical",ms:28,note:"no NYCHA developments within 1.0 mi"},{id:"KEY-003",name:"doe_school_exposure",status:"silent_by_design",tier:"empirical",ms:24,note:"no DOE schools within 1.0 mi"},{id:"KEY-004",name:"doh_hospital_exposure",status:"silent_by_design",tier:"empirical",ms:22,note:"no acute-care hospitals within 1.0 mi"}]},{key:"touchstone",members:[{id:"TCH-001",name:"floodnet",status:"fired",tier:"empirical",ms:285},{id:"TCH-002",name:"nyc311",status:"fired",tier:"proxy",ms:410},{id:"TCH-003",name:"nws_obs",status:"fired",tier:"empirical",ms:240},{id:"TCH-004",name:"noaa_tides",status:"fired",tier:"empirical",ms:196},{id:"TCH-005",name:"prithvi_eo_live",status:"fired",tier:"modeled",ms:4920},{id:"TCH-006",name:"terramind_lulc",status:"fired",tier:"synthetic",ms:2100}]},{key:"lodestone",members:[{id:"LOD-001",name:"nws_alerts",status:"fired",tier:"modeled",ms:110},{id:"LOD-002",name:"ttm_forecast",status:"fired",tier:"modeled",ms:1500},{id:"LOD-003",name:"ttm_battery_surge",status:"fired",tier:"modeled",ms:1480},{id:"LOD-004",name:"floodnet_forecast",status:"silent_by_design",tier:"modeled",ms:14,note:"sensor has only 2 historical events; 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web/sveltekit/build/_app/immutable/nodes/{5.NbriEyGS.js → 5.C0xKDhXA.js}

@@ -1 +1 @@
-import{d as z,e as V,a as U,f as q,s as j}from"../chunks/CWw6qgC_.js";import{p as Z,am as X,a5 as d,a4 as l,a9 as Q,ai as $,t as J,a as ee,s as r,c as e,o as i,r as t,al as te}from"../chunks/BTUA7_xE.js";import{B as ie}from"../chunks/BatqQaKj.js";import{f as re,R as ae,M as ne,C as se,F as oe}from"../chunks/zVqBGhq2.js";import{p as de,b as M}from"../chunks/DxQlA7U2.js";const le=!0,fe=Object.freeze(Object.defineProperty({__proto__:null,prerender:le},Symbol.toStringTag,{value:"Module"})),R="80 Pioneer Street · Red Hook · Brooklyn",y={c1:{id:"c1",n:1,tier:"empirical",source:"USGS",title:"Hurricane Sandy storm tide elevations, NY-NJ Harbor",docId:"USGS-OFR-2013-1234",url:"https://pubs.usgs.gov/of/2013/1234/",vintage:"2013-05",retrieved:"2026-04-28"},c2:{id:"c2",n:2,tier:"empirical",source:"NYC OEM",title:"Hurricane Sandy Inundation Zone (2012)",docId:"NYCOEM-SIZ-2013",url:"https://data.cityofnewyork.us/dataset/sandy-inundation-zone",vintage:"2013-01",retrieved:"2026-04-28"},c3:{id:"c3",n:3,tier:"empirical",source:"FloodNet NYC",title:"Sensor BK-RH-002 — Coffey Park, monthly exceedance",docId:"FN-BK-RH-002",url:"https://floodnet.nyc/sensor/BK-RH-002",vintage:"2026-04",retrieved:"2026-05-02"},c4:{id:"c4",n:4,tier:"modeled",source:"FEMA",title:"Preliminary Flood Insurance Rate Map, panel 36047C0207G",docId:"FEMA-FIRM-36047C0207G",url:"https://msc.fema.gov/portal/search",vintage:"2024-09",retrieved:"2026-04-28"},c5:{id:"c5",n:5,tier:"modeled",source:"NYC DEP",title:"Stormwater Flood Map — Moderate Stormwater Scenario",docId:"NYCDEP-SWFM-2024",url:"https://nyc.gov/stormwater-map",vintage:"2024-06",retrieved:"2026-04-28"},c6:{id:"c6",n:6,tier:"modeled",source:"NPCC4",title:"Sea-level rise projections, 2050 90th percentile",docId:"NPCC4-Ch3-Tbl3.2",url:"https://nyas.org/npcc4",vintage:"2024-03",retrieved:"2026-04-28"},c7:{id:"c7",n:7,tier:"proxy",source:"NYC 311",title:"Flooding service requests, BK CB6 2019–2025",docId:"NYC311-FLD-CB6",url:"https://data.cityofnewyork.us/311",vintage:"2025-12",retrieved:"2026-05-01"},c8:{id:"c8",n:8,tier:"proxy",source:"FEMA NFIP",title:"National Flood Insurance Program claims, tract 36047008500",docId:"NFIP-T36047008500",url:"https://www.fema.gov/openfema",vintage:"2024-12",retrieved:"2026-04-28"},c9:{id:"c9",n:9,tier:"synthetic",source:"TerraMind v1.2",title:"Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded)",docId:"RIPRAP-SYN-20250914",url:"#methodology-synthetic",vintage:"2025-09",retrieved:"2026-05-02"},c10:{id:"c10",n:10,tier:"modeled",source:"NYC DCP",title:"Waterfront Revitalization Program — Coastal Risk Area",docId:"NYCDCP-WRP-2022",url:"https://nyc.gov/dcp/wrp",vintage:"2022-11",retrieved:"2026-04-28"}},x=[{kind:"status",html:'<p class="briefing-deck"><strong>80 Pioneer Street, Red Hook, Brooklyn 11231.</strong> Block 597, Lot 30. Industrial Business Zone (IBZ-RH). Queried 2026-05-02 14:22 ET. <span class="briefing-meta">Briefing v0.4.2 · 9 specialists fired · 1 silent (TidalGauge: out of range)</span></p>'},{kind:"head",n:"01",label:"Status",title:"Coastal-edge, post-Sandy, multi-hazard"},{kind:"prose",parts:[{tier:"empirical",text:"The address sits 380 ft inland of the Erie Basin bulkhead, at a ground elevation of 6.2 ft NAVD88",cite:"c1"},{text:" — within the "},{tier:"empirical",text:"2012 Sandy Inundation Zone, which recorded a peak storm tide of 11.4 ft NAVD88 at the Battery",cite:"c2"},{text:" 2.4 mi to the northwest. "},{tier:"modeled",text:"FEMA's preliminary FIRM places the parcel in Zone AE (BFE 11 ft NAVD88)",cite:"c4"},{text:", a 4.8 ft freeboard above current grade. The site is upgradient of two FloodNet sensors and three blocks from a chronic 311 cluster."}]},{kind:"head",n:"02",label:"Empirical evidence",tier:"empirical"},{kind:"prose",parts:[{tier:"empirical",text:"FloodNet sensor BK-RH-002 (Coffey Park, 1,200 ft south) recorded 7 above-curb events between 2024-06 and 2026-04",cite:"c3"},{text:", with a peak depth of 14.3 cm during the 2025-09-29 nor'easter. "},{tier:"empirical",text:"USGS post-Sandy high-water marks within 500 ft cluster between 6.8 and 8.1 ft NAVD88",cite:"c1"},{text:", consistent with 0.6–1.9 ft of standing water at the queried address during the storm."}]},{kind:"head",n:"03",label:"Modeled scenarios",tier:"modeled"},{kind:"prose",parts:[{tier:"modeled",text:"DEP's Moderate Stormwater Scenario (2.13 in/hr design storm) shows ponding ≥4 in across the western half of the lot",cite:"c5"},{text:", routed by the 1.2% slope toward Imlay St. "},{tier:"modeled",text:"Under NPCC4's 2050 90th-percentile sea-level rise (30 in)",cite:"c6"},{text:", the parcel falls within the projected daily-tidal floodplain by mid-century. "},{tier:"synthetic",text:"Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded) was generated by TerraMind v1.2 and is presented as a prior, not an observation",cite:"c9"},{text:"; treat with appropriate caution."}]},{kind:"head",n:"04",label:"Policy context"},{kind:"prose",parts:[{tier:"proxy",text:"311 flood complaints within the surrounding census tract total 89 calls over 2019���2025, with seasonal clustering in Aug–Oct",cite:"c7"},{text:". "},{tier:"proxy",text:"NFIP claims aggregated to tract 36047008500 total $4.1M across 47 paid losses since 2000",cite:"c8"},{text:". "},{tier:"modeled",text:"The site lies within the NYC Waterfront Revitalization Program Coastal Risk Area; CEQR §817 review applies to any discretionary action",cite:"c10"},{text:"."}]}],ce={wallSeconds:14,cacheHit:.92,cards:[{id:"fc-fema",stone:"cornerstone",tier:"modeled",variant:"headline",source:"FEMA",agency:"Federal Emergency Management Agency",vintage:"2024-09",title:"Preliminary FIRM, panel 36047C0207G",headline:"Zone AE",subhead:"BFE 11 ft NAVD88 · freeboard +4.8 ft",body:"Address sits within the regulatory 1% annual-chance floodplain. Base Flood Elevation 11.0 ft NAVD88; first floor must be at or above this datum for NFIP rating.",docId:"FEMA-FIRM-36047C0207G",citeId:"c4",mapLayer:"fema-ae"},{id:"fc-hwm",stone:"cornerstone",tier:"empirical",variant:"tabular",source:"USGS",agency:"U.S. Geological Survey",vintage:"2013-05",title:"Post-Sandy high-water marks within 500 ft",columns:["id","elev.","dist."],rows:[["HWM-NY-3081","7.4 ft NAVD88","0.18 mi"],["HWM-NY-3082","8.1 ft NAVD88","0.22 mi"],["HWM-NY-3105","6.8 ft NAVD88","0.31 mi"]],sub:"3 marks · max 8.1 ft · surveyed Nov 2012",docId:"USGS-OFR-2013-1234",citeId:"c1",mapLayer:"hwm"},{id:"fc-stormwater",stone:"cornerstone",tier:"modeled",variant:"raster",source:"NYC DEP",agency:"NYC Dept. of Environmental Protection",vintage:"2024-06",title:"Stormwater Flood Map · moderate scenario",rasterKind:"stormwater",sub:"2.13 in/hr · ponding ≥4 in W half of lot · routed toward Imlay St",docId:"NYCDEP-SWFM-2024",citeId:"c5",mapLayer:"stormwater"},{id:"fc-register-rh",stone:"keystone",tier:"empirical",variant:"register",source:"NYC OpenData",agency:"NYC OpenData · multi-agency join",vintage:"2026-05",title:"Nearby exposed assets",registers:[{reg:"MTA",tier:"empirical",label:"Smith–9 St subway entrance",detail:"0.34 mi · F · G",sourceId:"MTA-ENT-N048",vintage:"2025-11",note:null},{reg:"NYCHA",tier:"empirical",label:"Red Hook East Houses",detail:"0.41 mi · 2,878 res.",sourceId:"NYCHA-RHE",vintage:"2025-Q3",note:null},{reg:"NYCHA",tier:"empirical",label:"Red Hook West Houses",detail:"0.52 mi · 3,142 res.",sourceId:"NYCHA-RHW",vintage:"2025-Q3",note:null},{reg:"DOE",tier:"empirical",label:"PS 27 Agnes Y. Humphrey",detail:"0.29 mi · 271 K-5",sourceId:"DOE-K027",vintage:"2024-25",note:null},{reg:"DOH",tier:"empirical",label:null,detail:null,sourceId:null,vintage:null,note:"no acute-care hospital within 1.0 mi (silent)"},{reg:"PLUTO",tier:"empirical",label:"Lot 36047 / 521 / 7",detail:"BIN 3018472 · MX-1",sourceId:"PLUTO-2024v2",vintage:"2024-12",note:null}],sub:"5 of 6 registers fired · 1 silent · joined within 1.0 mi",docId:"RIPRAP-EXP-RH80",citeId:"c-reg-rh",mapLayer:"registers"},{id:"fc-floodnet",stone:"touchstone",tier:"empirical",variant:"spark",source:"FloodNet",agency:"FloodNet NYC sensor network",vintage:"2026-04",title:"Sensor BK-RH-002, monthly above-curb events",headline:"7 events",subhead:"Jun 2024 → Apr 2026 · peak 14.3 cm",spark:[0,0,1,0,2,1,0,0,3,0,1,0,0,0,2,1,0,0,1,0,2,4,1,1],sparkSub:"Sensor located 0.21 mi N at Coffey & Van Brunt. Above-curb depth in cm; events ≥2 cm.",docId:"FN-BK-RH-002",citeId:"c3",mapLayer:"floodnet"},{id:"fc-311",stone:"touchstone",tier:"proxy",variant:"histogram",source:"NYC 311",agency:"NYC 311 service requests",vintage:"2025-12",title:"Recent 311 flood complaints, BK CB6",headline:"89 calls",subhead:"2019–2025 · seasonal cluster Aug–Oct",histogram:[3,2,1,0,1,4,7,12,18,11,5,3,4,2,1,0,2,3,8,9,4,2,1,0],sparkSub:"Filtered to complaint types: Sewer (Backup), Street Flooding, Catch Basin Clogged. Within 200 m of address.",docId:"NYC311-FLD-CB6",citeId:"c7",mapLayer:"complaints"},{id:"fc-prithvi-pluvial",stone:"touchstone",tier:"modeled",variant:"raster-pred",source:"Prithvi-NYC-Pluvial",agency:"NASA-IBM Prithvi v2 · NYC fine-tune",vintage:"2026-05-02 · Sentinel-2",title:"Pluvial flood prediction · Prithvi-NYC-Pluvial",rasterKind:"prithvi",headline:"0.3% flooded",subhead:"no flooding apparent · scene 2026-05-02",sub:"Model interpretation of imagery, not real-time observation. Confidence-mean 0.84 across non-flooded pixels.",docId:"PRITHVI-NYC-PLUV-V2-20260502",citeId:"c-prithvi",illustrative:!0,mapLayer:"prithvi-pluvial"},{id:"fc-terramind-lulc",stone:"touchstone",tier:"synthetic",variant:"lulc",source:"TerraMind v1.2",agency:"IBM TerraMind v1.2 · Sentinel-2 inputs",vintage:"Sentinel-2 · 2024-09-18",title:"Land use / land cover · TerraMind v1.2",rasterKind:"lulc",classMix:[{k:"urban",pct:62,color:"#C66"},{k:"water",pct:18,color:"#5B7FB4"},{k:"vegetation",pct:12,color:"#5B8A4A"},{k:"barren",pct:6,color:"#A89A78"},{k:"wetland",pct:2,color:"#D9C75A"}],sub:"Synthetic prior. LULC palette is a layer convention, not a tier signal.",docId:"TERRAMIND-LULC-20240918",citeId:"c-tm-lulc",illustrative:!0,mapLayer:"terramind-lulc"},{id:"fc-nws",stone:"touchstone",tier:"empirical",variant:"scalars",source:"NWS KNYC",agency:"NOAA · National Weather Service",vintage:"2026-05-05",title:"Current weather, station KNYC",scalars:[{value:"0.02 in",label:"precip · last 24h"},{value:"67°F",label:"temp · current"},{value:"PC",label:"conditions"}],sub:"Observation timestamp 2026-05-05 14:18 ET. Central Park station; not point-of-query.",docId:"NWS-KNYC",citeId:"c-nws",mapLayer:"nws"},{id:"fc-ttm-surge",stone:"lodestone",tier:"modeled",variant:"timeseries",source:"Granite TTM r2 (zero-shot)",agency:"IBM Granite-TimeSeries · regional",vintage:"2026-05-05 12:00 ET",title:"Storm surge nowcast at The Battery — 9.6 h horizon (regional)",timeseries:{hours:96,peak:{x:38,y:47},peakLabel:"+47 cm @ +38h"},headline:"+47 cm",subhead:"peak surge residual · 9.6h horizon · 6-min cadence",sub:"Regional disclosure. Nowcast applies city-wide via NOAA station 8518750. Distinct from the fine-tuned Battery surge nowcast.",spatialNote:"regional · The Battery, not point-of-query",docId:"ttm_battery_surge_zeroshot",citeId:"c-ttm",mapLayer:null},{id:"fc-ttm-surge-ft",stone:"lodestone",tier:"modeled",variant:"timeseries-ft",source:"msradam/Granite-TTM-r2-Battery-Surge",agency:"Granite TTM r2 · NYC-specialized fine-tune",vintage:"2026-05-05 12:00 ET",title:"Storm surge nowcast at The Battery — 96 h horizon (NYC-specialized fine-tune)",timeseries:{hours:96,peak:{x:38,y:53},peakLabel:"+53 cm @ +38h"},headline:"+53 cm",subhead:"peak surge · 96h horizon · hourly cadence",sub:"Fine-tuned on NYC tide-gauge history. 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Battery tide-gauge baseline.",docId:"NPCC4-Ch3-Tbl3.2",citeId:"c6",mapLayer:null},{id:"fc-mellea-meta",stone:"capstone",tier:"modeled",variant:"meta",source:"Mellea",agency:"Capstone synthesis · grounding check",vintage:"2026-05-05 14:22 ET",title:"Briefing reconciliation",metaRows:[{k:"mellea reroll",v:"1 reroll"},{k:"grounding checks",v:"4/4 passed"},{k:"citations resolved",v:"4"},{k:"wall-clock",v:"24.0 s"}],sub:"Capstone produces prose, not cards. 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+import{d as z,e as V,a as U,f as q,s as j}from"../chunks/CWw6qgC_.js";import{p as Z,am as X,a5 as d,a4 as l,a9 as Q,ai as $,t as J,a as ee,s as r,c as e,o as i,r as t,al as te}from"../chunks/BTUA7_xE.js";import{B as ie}from"../chunks/BatqQaKj.js";import{f as re,R as ae,M as ne,C as se,F as oe}from"../chunks/FjZhY28w.js";import{p as de,b as M}from"../chunks/DxQlA7U2.js";const le=!0,fe=Object.freeze(Object.defineProperty({__proto__:null,prerender:le},Symbol.toStringTag,{value:"Module"})),R="80 Pioneer Street · Red Hook · Brooklyn",y={c1:{id:"c1",n:1,tier:"empirical",source:"USGS",title:"Hurricane Sandy storm tide elevations, NY-NJ Harbor",docId:"USGS-OFR-2013-1234",url:"https://pubs.usgs.gov/of/2013/1234/",vintage:"2013-05",retrieved:"2026-04-28"},c2:{id:"c2",n:2,tier:"empirical",source:"NYC OEM",title:"Hurricane Sandy Inundation Zone (2012)",docId:"NYCOEM-SIZ-2013",url:"https://data.cityofnewyork.us/dataset/sandy-inundation-zone",vintage:"2013-01",retrieved:"2026-04-28"},c3:{id:"c3",n:3,tier:"empirical",source:"FloodNet NYC",title:"Sensor BK-RH-002 — Coffey Park, monthly exceedance",docId:"FN-BK-RH-002",url:"https://floodnet.nyc/sensor/BK-RH-002",vintage:"2026-04",retrieved:"2026-05-02"},c4:{id:"c4",n:4,tier:"modeled",source:"FEMA",title:"Preliminary Flood Insurance Rate Map, panel 36047C0207G",docId:"FEMA-FIRM-36047C0207G",url:"https://msc.fema.gov/portal/search",vintage:"2024-09",retrieved:"2026-04-28"},c5:{id:"c5",n:5,tier:"modeled",source:"NYC DEP",title:"Stormwater Flood Map — Moderate Stormwater Scenario",docId:"NYCDEP-SWFM-2024",url:"https://nyc.gov/stormwater-map",vintage:"2024-06",retrieved:"2026-04-28"},c6:{id:"c6",n:6,tier:"modeled",source:"NPCC4",title:"Sea-level rise projections, 2050 90th percentile",docId:"NPCC4-Ch3-Tbl3.2",url:"https://nyas.org/npcc4",vintage:"2024-03",retrieved:"2026-04-28"},c7:{id:"c7",n:7,tier:"proxy",source:"NYC 311",title:"Flooding service requests, BK CB6 2019–2025",docId:"NYC311-FLD-CB6",url:"https://data.cityofnewyork.us/311",vintage:"2025-12",retrieved:"2026-05-01"},c8:{id:"c8",n:8,tier:"proxy",source:"FEMA NFIP",title:"National Flood Insurance Program claims, tract 36047008500",docId:"NFIP-T36047008500",url:"https://www.fema.gov/openfema",vintage:"2024-12",retrieved:"2026-04-28"},c9:{id:"c9",n:9,tier:"synthetic",source:"TerraMind v1.2",title:"Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded)",docId:"RIPRAP-SYN-20250914",url:"#methodology-synthetic",vintage:"2025-09",retrieved:"2026-05-02"},c10:{id:"c10",n:10,tier:"modeled",source:"NYC DCP",title:"Waterfront Revitalization Program — Coastal Risk Area",docId:"NYCDCP-WRP-2022",url:"https://nyc.gov/dcp/wrp",vintage:"2022-11",retrieved:"2026-04-28"}},x=[{kind:"status",html:'<p class="briefing-deck"><strong>80 Pioneer Street, Red Hook, Brooklyn 11231.</strong> Block 597, Lot 30. Industrial Business Zone (IBZ-RH). Queried 2026-05-02 14:22 ET. <span class="briefing-meta">Briefing v0.4.2 · 9 specialists fired · 1 silent (TidalGauge: out of range)</span></p>'},{kind:"head",n:"01",label:"Status",title:"Coastal-edge, post-Sandy, multi-hazard"},{kind:"prose",parts:[{tier:"empirical",text:"The address sits 380 ft inland of the Erie Basin bulkhead, at a ground elevation of 6.2 ft NAVD88",cite:"c1"},{text:" — within the "},{tier:"empirical",text:"2012 Sandy Inundation Zone, which recorded a peak storm tide of 11.4 ft NAVD88 at the Battery",cite:"c2"},{text:" 2.4 mi to the northwest. "},{tier:"modeled",text:"FEMA's preliminary FIRM places the parcel in Zone AE (BFE 11 ft NAVD88)",cite:"c4"},{text:", a 4.8 ft freeboard above current grade. 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"},{tier:"synthetic",text:"Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded) was generated by TerraMind v1.2 and is presented as a prior, not an observation",cite:"c9"},{text:"; treat with appropriate caution."}]},{kind:"head",n:"04",label:"Policy context"},{kind:"prose",parts:[{tier:"proxy",text:"311 flood complaints within the surrounding census tract total 89 calls over 2019–2025, with seasonal clustering in Aug–Oct",cite:"c7"},{text:". "},{tier:"proxy",text:"NFIP claims aggregated to tract 36047008500 total $4.1M across 47 paid losses since 2000",cite:"c8"},{text:". "},{tier:"modeled",text:"The site lies within the NYC Waterfront Revitalization Program Coastal Risk Area; CEQR §817 review applies to any discretionary action",cite:"c10"},{text:"."}]}],ce={wallSeconds:14,cacheHit:.92,cards:[{id:"fc-fema",stone:"cornerstone",tier:"modeled",variant:"headline",source:"FEMA",agency:"Federal Emergency Management Agency",vintage:"2024-09",title:"Preliminary FIRM, panel 36047C0207G",headline:"Zone AE",subhead:"BFE 11 ft NAVD88 · freeboard +4.8 ft",body:"Address sits within the regulatory 1% annual-chance floodplain. 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Confidence-mean 0.84 across non-flooded pixels.",docId:"PRITHVI-NYC-PLUV-V2-20260502",citeId:"c-prithvi",illustrative:!0,mapLayer:"prithvi-pluvial"},{id:"fc-terramind-lulc",stone:"touchstone",tier:"synthetic",variant:"lulc",source:"TerraMind v1.2",agency:"IBM TerraMind v1.2 · Sentinel-2 inputs",vintage:"Sentinel-2 · 2024-09-18",title:"Land use / land cover · TerraMind v1.2",rasterKind:"lulc",classMix:[{k:"urban",pct:62,color:"#C66"},{k:"water",pct:18,color:"#5B7FB4"},{k:"vegetation",pct:12,color:"#5B8A4A"},{k:"barren",pct:6,color:"#A89A78"},{k:"wetland",pct:2,color:"#D9C75A"}],sub:"Synthetic prior. 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Distinct from the fine-tuned Battery surge nowcast.",spatialNote:"regional · The Battery, not point-of-query",docId:"ttm_battery_surge_zeroshot",citeId:"c-ttm",mapLayer:null},{id:"fc-ttm-surge-ft",stone:"lodestone",tier:"modeled",variant:"timeseries-ft",source:"msradam/Granite-TTM-r2-Battery-Surge",agency:"Granite TTM r2 · NYC-specialized fine-tune",vintage:"2026-05-05 12:00 ET",title:"Storm surge nowcast at The Battery — 96 h horizon (NYC-specialized fine-tune)",timeseries:{hours:96,peak:{x:38,y:53},peakLabel:"+53 cm @ +38h"},headline:"+53 cm",subhead:"peak surge · 96h horizon · hourly cadence",sub:"Fine-tuned on NYC tide-gauge history. Trained on AMD MI300X.",spatialNote:"regional · The Battery, not point-of-query",docId:"ttm_battery_surge_finetune",citeId:"c-ttm-ft",mapLayer:null,hfModelCard:"huggingface.co/msradam/Granite-TTM-r2-Battery-Surge",rmse:"0.157 m",skillVsPersistence:"−35% vs persistence",hardwareBadge:"MI300X"},{id:"fc-npcc4",stone:"lodestone",tier:"modeled",variant:"forecast",source:"NPCC4",agency:"NYC Panel on Climate Change, 4th Assessment",vintage:"2024-03",title:"Sea-level rise projections, Lower NY Harbor",forecast:[{year:2030,low:4,mid:6,high:9},{year:2050,low:13,mid:22,high:30},{year:2080,low:28,mid:49,high:75},{year:2100,low:38,mid:71,high:114}],sub:"inches MSL · 17th–83rd %ile range, median line. Battery tide-gauge baseline.",docId:"NPCC4-Ch3-Tbl3.2",citeId:"c6",mapLayer:null},{id:"fc-mellea-meta",stone:"capstone",tier:"modeled",variant:"meta",source:"Mellea",agency:"Capstone synthesis · grounding check",vintage:"2026-05-05 14:22 ET",title:"Briefing reconciliation",metaRows:[{k:"mellea reroll",v:"1 reroll"},{k:"grounding checks",v:"4/4 passed"},{k:"citations resolved",v:"4"},{k:"wall-clock",v:"24.0 s"}],sub:"Capstone produces prose, not cards. This meta-card summarizes the reconciler chain that wrote the four-section briefing above.",docId:"RIPRAP-CAP-RH80",citeId:null,mapLayer:null}],stones:[{key:"cornerstone",members:[{id:"CORN-001",name:"sandy_inundation",status:"fired",tier:"empirical",ms:412},{id:"CORN-002",name:"dep_stormwater",status:"fired",tier:"modeled",ms:540},{id:"CORN-003",name:"ida_hwm_2021",status:"fired",tier:"empirical",ms:612},{id:"CORN-004",name:"prithvi_eo_v2",status:"fired",tier:"modeled",ms:980},{id:"CORN-005",name:"microtopo_lidar",status:"fired",tier:"proxy",ms:1240}]},{key:"keystone",members:[{id:"KEY-001",name:"mta_entrance_exposure",status:"silent_by_design",tier:"empirical",ms:30,note:"no entrances within radius"},{id:"KEY-002",name:"nycha_development_exposure",status:"silent_by_design",tier:"empirical",ms:28,note:"no NYCHA developments within 1.0 mi"},{id:"KEY-003",name:"doe_school_exposure",status:"silent_by_design",tier:"empirical",ms:24,note:"no DOE schools within 1.0 mi"},{id:"KEY-004",name:"doh_hospital_exposure",status:"silent_by_design",tier:"empirical",ms:22,note:"no acute-care hospitals within 1.0 mi"}]},{key:"touchstone",members:[{id:"TCH-001",name:"floodnet",status:"fired",tier:"empirical",ms:285},{id:"TCH-002",name:"nyc311",status:"fired",tier:"proxy",ms:410},{id:"TCH-003",name:"nws_obs",status:"fired",tier:"empirical",ms:240},{id:"TCH-004",name:"noaa_tides",status:"fired",tier:"empirical",ms:196},{id:"TCH-005",name:"prithvi_eo_live",status:"fired",tier:"modeled",ms:4920},{id:"TCH-006",name:"terramind_lulc",status:"fired",tier:"synthetic",ms:2100}]},{key:"lodestone",members:[{id:"LOD-001",name:"nws_alerts",status:"fired",tier:"modeled",ms:110},{id:"LOD-002",name:"ttm_forecast",status:"fired",tier:"modeled",ms:1500},{id:"LOD-003",name:"ttm_battery_surge",status:"fired",tier:"modeled",ms:1480},{id:"LOD-004",name:"floodnet_forecast",status:"silent_by_design",tier:"modeled",ms:14,note:"sensor has only 2 historical events; forecast omitted (silent-floor: 5)"},{id:"LOD-005",name:"ttm_311_forecast",status:"errored",tier:"modeled",ms:0,note:"311 history fetch failed: HTTP 503 at NYC OpenData (3 retries)"}]},{key:"capstone",members:[{id:"CAP-001",name:"rag_granite_embedding",status:"fired",tier:"proxy",ms:410},{id:"CAP-002",name:"gliner_extract",status:"fired",tier:"proxy",ms:280},{id:"CAP-003",name:"reconcile_granite41",status:"fired",tier:"modeled",ms:6240}]}].map(a=>({key:a.key,members:re(a.key,a.members)}))};var me=q('<section class="hero-band"><div class="hero-band-inner"><div class="app-shell-top is-desktop"><main id="region-briefing" class="app-region app-region-brief" aria-labelledby="brief-h1"><header class="region-head"><span class="section-label">Briefing</span> <button type="button" class="region-action" aria-label="Replay streaming">↻ replay stream</button></header> <h1 id="brief-h1" class="brief-h1">Flood-exposure briefing <span class="brief-h1-addr"> </span></h1> <!></main> <div class="app-region-side" style="grid-area: side;"><aside id="region-map" class="app-region app-region-map" aria-label="Map region"><header class="region-head"><span class="section-label">Map</span> <span class="region-head-meta">Carto Positron · z15 · 40.6776°N 74.0096°W</span></header> <div style="position: relative; flex: 1; min-height: 0;"><!> <!></div></aside> <aside id="region-cites" class="app-region app-region-cites" aria-label="Citations"><!></aside></div></div> <div class="app-shell-bottom"><section class="app-region app-region-findings" aria-label="Findings"><!></section></div></div></section>');function ye(a,T){Z(T,!0);let c=l(null),F="comfortable",B="smart",b=l(!1);X(()=>{typeof window<"u"&&d(b,new URL(window.location.href).searchParams.get("grammar")==="1")});function Y(o){d(c,o,!0)}function E(o){const s=document.getElementById("region-cites");s&&s.scrollIntoView({behavior:"smooth",block:"start"})}let n=l(Q({empirical:!0,modeled:!0,synthetic:!0,proxy:!0})),m=l(0);$(()=>(de({queryId:"sample",queryText:R,intent:"single_address",specialists:9,blocks:x,citations:y,generatedAt:new Date().toISOString(),attempts:1}),M.markReady(),()=>M.reset()));const L={label:"80 Pioneer St",lat:40.6776,lon:-74.0096},C={type:"FeatureCollection",features:[{type:"Feature",properties:{source:"sample-fixture",tier:"synthetic"},geometry:{type:"Polygon",coordinates:[[[-74.014,40.679],[-74.007,40.68],[-74.005,40.677],[-74.009,40.6755],[-74.014,40.679]]]}}]};var u=me(),N=e(u),p=e(N),h=e(p),g=e(h),D=r(e(g),2);t(g);var v=r(g,2),w=r(e(v)),H=e(w,!0);t(w),t(v);var O=r(v,2);ie(O,{get blocks(){return x},get citations(){return y},streaming:!0,get replayKey(){return i(m)}}),t(h);var I=r(h,2),f=e(I),S=r(e(f),2),k=e(S);ae(k,{get address(){return L},get activeLayers(){return i(n)},get syntheticPrior(){return C},get linkedKey(){return i(c)}});var K=r(k,2);{let o=te(()=>({empirical:0,modeled:0,synthetic:C.features.length,proxy:0}));ne(K,{get active(){return i(n)},get featureCounts(){return i(o)},onToggle:s=>d(n,{...i(n),[s]:!i(n)[s]},!0)})}t(S),t(f);var _=r(f,2),G=e(_);se(G,{get citations(){return y}}),t(_),t(I),t(p);var P=r(p,2),A=e(P),W=e(A);oe(W,{get data(){return ce},density:F,provenanceMode:B,get showGrammar(){return i(b)},get linkedKey(){return i(c)},onLink:Y,onCite:E}),t(A),t(P),t(N),t(u),J(()=>j(H,R)),V("click",D,()=>d(m,i(m)+1)),U(a,u),ee()}z(["click"]);export{ye as component,fe as universal};

web/sveltekit/build/_app/version.json

@@ -1 +1 @@
-{"version":"1778275660567"}
+{"version":"1778350475932"}

web/sveltekit/build/index.html

@@ -2,29 +2,28 @@
 <html lang="en">
   <head>
     <meta charset="utf-8" />
-    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
-    <link rel="icon" type="image/png" href="/favicon.png" />
+    <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3E%3Crect width='16' height='16' fill='%23FAFAF7'/%3E%3Crect x='2' y='2' width='5' height='12' fill='%23D17C00'/%3E%3C/svg%3E" />
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="./_app/immutable/entry/start.BIDfHH4-.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/BOtZ6QcV.js" rel="modulepreload">
+    <link href="./_app/immutable/entry/start.YmL7ZSOR.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/CJeJVIjP.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/BTUA7_xE.js" rel="modulepreload">
-		<link href="./_app/immutable/entry/app.CoGsDDek.js" rel="modulepreload">
+		<link href="./_app/immutable/entry/app.BhktVbRh.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/CXQd8Y6F.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/CWw6qgC_.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/Bd-v_9Ud.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/CW0zSL4D.js" rel="modulepreload">
-		<link href="./_app/immutable/nodes/0.h-vIKZsr.js" rel="modulepreload">
+		<link href="./_app/immutable/nodes/0.Dv1TzIuH.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DxQlA7U2.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/nUW4eUox.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/B3Pg95Il.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DCD6_LXk.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/B0XoTt7U.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DixtWtwq.js" rel="modulepreload">
-		<link href="./_app/immutable/nodes/2.BWTkJ8km.js" rel="modulepreload">
+		<link href="./_app/immutable/nodes/2.CLD-rsu4.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/cDW0xQNP.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/25_y8TFd.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/CAMdvC-O.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/D907np-5.js" rel="modulepreload">
 		<!--1uha8ag--><meta name="description" content="A citation-grounded flood-exposure briefing tool for any address, neighborhood, or BBL in New York City."/><!----><title>Riprap — Flood Exposure Briefing for NYC</title>
 		<link href="./_app/immutable/assets/RipMark.ClxF_PAC.css" rel="stylesheet">
 		<link href="./_app/immutable/assets/0.DiQNUxm-.css" rel="stylesheet">
@@ -38,15 +37,15 @@
 			
 			<script>
 				{
-					__sveltekit_chon6g = {
+					__sveltekit_1sh7tn8 = {
 						base: new URL(".", location).pathname.slice(0, -1)
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("./_app/immutable/entry/start.BIDfHH4-.js"),
-						import("./_app/immutable/entry/app.CoGsDDek.js")
+						import("./_app/immutable/entry/start.YmL7ZSOR.js"),
+						import("./_app/immutable/entry/app.BhktVbRh.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element, {
 							node_ids: [0, 2],

web/sveltekit/src/lib/client/agentStream.ts

@@ -56,6 +56,51 @@ export interface FinalResult {
   /** Present when intent === "compare". */
   intent?: string;
   targets?: Array<{ label: string; address: string }>;
+  /** Per-call emissions ledger from app/emissions.py. Optional —
+   *  older backends + the not_implemented short-circuit may omit it. */
+  emissions?: EmissionsSummary;
+}
+
+export interface EmissionsCall {
+  kind: 'llm' | 'ml';
+  model?: string;
+  endpoint?: string;
+  backend: string;
+  hardware: string;
+  hardware_label: string;
+  power_w: number;
+  duration_s: number;
+  prompt_tokens?: number | null;
+  completion_tokens?: number | null;
+  total_tokens?: number | null;
+  stream?: boolean;
+  wh: number;
+  joules: number;
+}
+
+export interface EmissionsSummary {
+  n_calls: number;
+  total_wh: number;
+  total_mwh: number;
+  total_joules: number;
+  total_duration_s: number;
+  tokens: {
+    prompt?: number | null;
+    completion?: number | null;
+    total?: number | null;
+  };
+  by_kind: Record<string, { wh: number; mwh: number; n: number; duration_s: number }>;
+  by_hardware: Record<string, {
+    label: string; power_w: number; wh: number; mwh: number; n: number; duration_s: number;
+  }>;
+  calls: EmissionsCall[];
+  comparison: {
+    cloud_per_query_wh: number;
+    cloud_per_query_mwh: number;
+    ratio_cloud_over_query: number | null;
+    cloud_source: string;
+  };
+  method: string;
 }
 
 export interface AgentStreamHandlers {

web/sveltekit/src/lib/client/cardAdapter.ts

@@ -659,6 +659,7 @@ export function adaptFinalToFindings(
     cards: cards.filter((c): c is Card => c != null),
     stones: buildStoneTraces(trace),
     wallSeconds,
+    emissions: (f as { emissions?: FindingsData['emissions'] }).emissions,
   };
 }
 

web/sveltekit/src/lib/components/findings/FindingsRegion.svelte

@@ -66,6 +66,7 @@
     stones={data.stones}
     wallSeconds={data.wallSeconds}
     cacheHit={data.cacheHit}
+    emissions={data.emissions}
   />
 
   {#each STONE_ORDER as key (key)}

web/sveltekit/src/lib/components/findings/RunHealthStrip.svelte

@@ -1,17 +1,20 @@
 <script lang="ts">
   import type { Card, StoneTrace } from '$lib/types/card';
+  import type { EmissionsSummary } from '$lib/client/agentStream';
 
   /** Top-of-Findings status row. Mirrors findings.jsx RunHealth44:
    *  Stones · functions fired · evidence cards · wall-clock · silent /
-   *  warn / error chips when nonzero. */
+   *  warn / error chips when nonzero. Also surfaces a compact emissions
+   *  chip (mWh + tokens) when the backend reports a per-call ledger. */
   interface Props {
     cards: Card[];
     stones: StoneTrace[];
     wallSeconds?: number;
     cacheHit?: number;
+    emissions?: EmissionsSummary;
   }
 
-  let { cards, stones, wallSeconds, cacheHit }: Props = $props();
+  let { cards, stones, wallSeconds, cacheHit, emissions }: Props = $props();
 
   function flatten(ms: StoneTrace['members']): StoneTrace['members'] {
     return ms.flatMap((m) => (m.children ? [m, ...flatten(m.children)] : [m]));
@@ -30,6 +33,36 @@
   let wall = $derived(wallSeconds == null
     ? '—'
     : wallSeconds < 1 ? `${Math.round(wallSeconds * 1000)}ms` : `${wallSeconds.toFixed(1)}s`);
+
+  // Format emissions: prefer mWh under 100, else Wh; tokens with K-suffix.
+  let emEnergy = $derived.by(() => {
+    if (!emissions || emissions.total_wh === 0) return null;
+    const wh = emissions.total_wh;
+    if (wh < 0.1) return `${emissions.total_mwh.toFixed(1)} mWh`;
+    return `${wh.toFixed(2)} Wh`;
+  });
+  let emTokens = $derived.by(() => {
+    const t = emissions?.tokens?.total;
+    if (!t) return null;
+    return t >= 1000 ? `${(t / 1000).toFixed(1)}K tok` : `${t} tok`;
+  });
+  let emRatio = $derived(emissions?.comparison?.ratio_cloud_over_query ?? null);
+  let emHardware = $derived.by(() => {
+    if (!emissions) return null;
+    const labels = Object.values(emissions.by_hardware).map(h => h.label);
+    return labels.length === 1 ? labels[0] : labels.join(' + ');
+  });
+  let emTooltip = $derived.by(() => {
+    if (!emissions) return '';
+    const lines = [
+      `${emissions.n_calls} inference calls — ${emissions.total_joules} J total`,
+      emHardware ? `Hardware: ${emHardware}` : '',
+      emissions.tokens.total ? `Tokens: ${emissions.tokens.prompt ?? 0} prompt + ${emissions.tokens.completion ?? 0} completion` : '',
+      emRatio != null ? `~${emRatio}× lower than ${emissions.comparison.cloud_per_query_mwh} mWh frontier-cloud per-query estimate` : '',
+      emissions.method,
+    ].filter(Boolean);
+    return lines.join('\n');
+  });
 </script>
 
 <div class="rh">
@@ -62,6 +95,14 @@
   {/if}
   <span class="rh-sep">·</span>
   <span class="rh-item rh-total"><strong>{total}</strong> registered</span>
+  {#if emEnergy}
+    <span class="rh-sep">·</span>
+    <span class="rh-item rh-em" title={emTooltip}>
+      <strong>{emEnergy}</strong> inference
+      {#if emTokens}<span class="rh-em-tok">/ {emTokens}</span>{/if}
+      {#if emRatio != null}<span class="rh-em-ratio">~{emRatio}× &lt; cloud</span>{/if}
+    </span>
+  {/if}
 </div>
 
 <style>
@@ -90,4 +131,19 @@
   .rh-err { color: #B91C1C; }
   .rh-notinvoked { color: var(--ink-tertiary); font-style: italic; }
   .rh-total strong { color: var(--ink-tertiary); }
+  .rh-em {
+    cursor: help;
+    color: var(--ink-secondary);
+  }
+  .rh-em strong { color: var(--ink); }
+  .rh-em-tok { margin-left: 4px; opacity: 0.75; }
+  .rh-em-ratio {
+    margin-left: 6px;
+    padding: 1px 5px;
+    border: 1px solid var(--rule-soft);
+    border-radius: 2px;
+    font-size: 10px;
+    letter-spacing: 0.03em;
+    color: var(--ink-tertiary);
+  }
 </style>

web/sveltekit/src/lib/types/card.ts

@@ -233,6 +233,9 @@ export type FindingsData = {
   wallSeconds?: number;
   /** Optional cache-hit ratio, dev-mode surfaced. */
   cacheHit?: number;
+  /** Per-call inference emissions (energy + tokens). Surfaced as a
+   *  chip in RunHealthStrip; full breakdown available via tooltip. */
+  emissions?: import('$lib/client/agentStream').EmissionsSummary;
 };
 
 /** Density toggle — affects card padding + register row height. */