feat(emissions): real GPU power from NVML on the L4 inference Space

Drops the cloud-comparison chip and replaces the data-sheet
energy estimate with a real per-call measurement off the L4 GPU.

inference-vllm/proxy.py
- Background sampler reads nvmlDeviceGetPowerUsage every 100 ms into
a 60 s ring buffer. Each forwarded POST records the upstream
wall-clock window and computes the mean power across the matching
samples; results land on the response as X-GPU-Power-W and
X-GPU-Energy-J (joules).
- New GET /v1/power exposes instantaneous + 1 s avg + 5 s avg for
bracket-sampling clients (used by the LLM path, where LiteLLM
hides response headers).
- pynvml init is best-effort: on failure the proxy still serves
traffic, just without power data.
inference-vllm/Dockerfile
- Adds nvidia-ml-py>=12.560 to the proxy's pip layer.

app/emissions.py
- Tracker.record_{llm,ml} accept optional joules_real / power_w_real.
When present, those values land on the row directly and the row is
flagged measured=True. Otherwise we fall back to the data-sheet
HARDWARE × duration estimate (measured=False).
- summarize() drops the cloud-comparison block. Adds n_measured
alongside n_calls so the UI can disclose measured vs estimated.

app/inference.py
- _post() reads X-GPU-Energy-J / X-GPU-Power-W off the proxy response
and forwards them into record_ml.

app/llm.py
- _power_url() / _sample_gpu_power_w() bracket the LiteLLM
completion call with two GETs to /v1/power. _record_llm passes
the avg into record_llm as power_w_real, and the tracker
derives joules from the real power × wallclock.

Frontend
- agentStream.ts EmissionsCall: new `measured: boolean`. Drop
comparison field from EmissionsSummary; add n_measured.
- RunHealthStrip.svelte: drop the "~Nx < cloud" chip (sign was
also wrong for queries above 0.3 Wh). Show "<icon> X.X Wh / Y.YK
tok inference" with a measured-coverage icon (✓ all measured,
◐ partial, ~ all estimated). Tooltip lists hardware + measured
fraction + token split + method.

Net effect: when the L4 inference Space is up and reachable, the
status-line chip carries real per-call NVML readings (typical L4
draws 30-70 W during transformer inference; the proxy reports
exactly what the device reports). When the proxy is unreachable,
the data-sheet fallback still produces a number and the icon
indicates so.

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

app/emissions.py

@@ -4,14 +4,16 @@ 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
+  - energy in watt-hours, **measured from the L4 GPU when available**
+    (the inference proxy reports per-call `X-GPU-Power-W` /
+    `X-GPU-Energy-J` headers from a 100 ms-cadence NVML sampler).
+    Falls back to a duration × data-sheet-power estimate when the
+    proxy is unreachable / NVML init failed / call went to a backend
+    that doesn't surface power readings.
 
-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.
+Each call record carries a `measured: bool` flag indicating which path
+was used, so the UI can disclose. `summarize()` aggregates total Wh,
+total tokens, by-kind and by-hardware splits — no cloud comparison.
 
 Thread propagation
 ------------------
@@ -28,17 +30,21 @@ from __future__ import annotations
 import threading
 from typing import Any
 
-# (label, sustained_power_w, source)
+# (label, fallback_sustained_power_w, source). Used only when the
+# proxy doesn't surface a real measurement (NVML disabled, backend
+# unreachable, local-fallback path). The fallback figure is a
+# conservative public-record estimate; the `measured: bool` flag on
+# each call record indicates whether the row used the fallback.
 HARDWARE: dict[str, tuple[str, float, str]] = {
     "nvidia_l4": (
         "NVIDIA L4",
         60.0,
         "NVIDIA L4 Tensor Core GPU data sheet (72 W TGP, Ada Lovelace, "
         "24 GB); ~60 W sustained during transformer inference. The "
-        "active backend for both Riprap inference Spaces — "
-        "msradam/riprap-vllm for Granite 4.1 8B FP8 (vLLM), and "
-        "msradam/riprap-inference for Prithvi-EO / TerraMind / "
-        "Granite TTM / GLiNER / Granite Embedding.",
+        "active backend for the Riprap inference Space "
+        "(msradam/riprap-vllm). When the proxy is reachable and NVML "
+        "is initialized, real per-call power is read off the device "
+        "via nvmlDeviceGetPowerUsage and this fallback is unused.",
     ),
     "amd_mi300x": (
         "AMD MI300X",
@@ -47,16 +53,13 @@ HARDWARE: dict[str, tuple[str, float, str]] = {
         "during vLLM generation. Selected only when an operator deploys "
         "against an MI300X droplet and sets RIPRAP_HARDWARE_LABEL=AMD "
         "MI300X explicitly. The hackathon submission used to run on "
-        "this hardware; the droplet was decommissioned 2026-05-06 and "
-        "inference now routes through L4 Spaces.",
+        "this hardware; the droplet was decommissioned 2026-05-06.",
     ),
     "nvidia_t4": (
         "NVIDIA T4",
         50.0,
         "NVIDIA T4 data sheet (70 W max); ~50 W sustained during "
-        "transformer inference. Used by the CPU-tier UI Spaces "
-        "(lablab + personal mirror) when a small inline LLM runs "
-        "alongside the FastAPI front-end.",
+        "transformer inference.",
     ),
     "apple_m": (
         "Apple M-series",
@@ -73,14 +76,6 @@ HARDWARE: dict[str, tuple[str, float, str]] = {
     ),
 }
 
-# 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
@@ -93,57 +88,90 @@ class Tracker:
         self.calls: list[dict[str, Any]] = []
         self._lock = threading.Lock()
 
+    def _record(self, *, base: dict[str, Any], hardware: str,
+                duration_s: float,
+                joules_real: float | None,
+                power_w_real: float | None) -> None:
+        """Shared body of record_llm / record_ml.
+
+        When `joules_real` is provided (NVML-derived from the proxy),
+        we use it directly and stamp `measured=True`. Otherwise we
+        fall back to the data-sheet sustained-power estimate.
+        """
+        hw_label, fallback_w, _src = HARDWARE.get(hardware,
+                                                  HARDWARE["cpu_server"])
+        if joules_real is not None and joules_real >= 0:
+            joules = float(joules_real)
+            wh = joules / 3600.0
+            measured = True
+            avg_w = (joules / duration_s) if duration_s > 0 else (
+                power_w_real if power_w_real is not None else fallback_w)
+        else:
+            avg_w = fallback_w
+            wh = _wh(avg_w, duration_s)
+            joules = wh * 3600.0
+            measured = False
+        record = {
+            **base,
+            "hardware": hardware,
+            "hardware_label": hw_label,
+            "power_w": round(avg_w, 2),
+            "duration_s": round(duration_s, 3),
+            "measured": measured,
+            "wh": round(wh, 5),
+            "joules": round(joules, 3),
+        }
+        with self._lock:
+            self.calls.append(record)
+
     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)
+                   stream: bool = False,
+                   joules_real: float | None = None,
+                   power_w_real: float | None = None) -> None:
         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({
+        self._record(
+            base={
                 "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),
-            })
+            },
+            hardware=hardware,
+            duration_s=duration_s,
+            joules_real=joules_real,
+            power_w_real=power_w_real,
+        )
 
     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({
+                  duration_s: float,
+                  joules_real: float | None = None,
+                  power_w_real: float | None = None) -> None:
+        self._record(
+            base={
                 "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),
-            })
+            },
+            hardware=hardware,
+            duration_s=duration_s,
+            joules_real=joules_real,
+            power_w_real=power_w_real,
+        )
 
     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)
+        n_measured = sum(1 for c in calls if c.get("measured"))
         prompt = sum((c.get("prompt_tokens") or 0)
                      for c in calls if c["kind"] == "llm")
         completion = sum((c.get("completion_tokens") or 0)
@@ -165,7 +193,6 @@ class Tracker:
         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"]
@@ -176,10 +203,9 @@ class Tracker:
             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),
+            "n_measured": n_measured,
             "total_wh": round(total_wh, 5),
             "total_mwh": round(total_wh * 1000, 2),
             "total_joules": round(total_wh * 3600, 1),
@@ -192,19 +218,16 @@ class Tracker:
             "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)."
+                "Energy is read off the L4 GPU per call via "
+                "nvmlDeviceGetPowerUsage on the inference proxy "
+                "(X-GPU-Energy-J response header). Calls flagged "
+                "measured=false fall back to "
+                "(data-sheet sustained_power_w × duration_s ÷ 3600) "
+                "— see app/emissions.HARDWARE for sources. Tokens "
+                "are reported by the backend (LiteLLM usage) when "
+                "available, else estimated from response text length "
+                "(~4 chars/token)."
             ),
         }
 

app/inference.py

@@ -95,12 +95,11 @@ def _post(path: str, payload: dict[str, Any], timeout: float | None = None) -> d
         raise RemoteUnreachable(f"HTTP {r.status_code} from {path}: {r.text[:200]}")
     r.raise_for_status()
     duration_s = time.monotonic() - t0
-    # Remote ML service is msradam/riprap-inference (or the vLLM-co-
-    # hosting msradam/riprap-vllm) — both run on NVIDIA L4 HF Spaces.
-    # Operators can override via RIPRAP_HARDWARE_LABEL when targeting
-    # different hardware (e.g. an MI300X droplet). 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.
+    # Hardware: msradam/riprap-vllm runs on NVIDIA L4. Operators can
+    # override via RIPRAP_HARDWARE_LABEL. The proxy reports per-call
+    # GPU energy off NVML in the X-GPU-Energy-J / X-GPU-Power-W headers
+    # — read those for a real measurement instead of the data-sheet
+    # estimate when present.
     override = (os.environ.get("RIPRAP_HARDWARE_LABEL") or "").lower()
     if "mi300x" in override or "amd" in override:
         hw = "amd_mi300x"
@@ -108,15 +107,33 @@ def _post(path: str, payload: dict[str, Any], timeout: float | None = None) -> d
         hw = "nvidia_t4"
     else:
         hw = "nvidia_l4"
+    joules_real, power_w_real = _parse_gpu_headers(r.headers)
     emissions.active().record_ml(
         endpoint=path,
         backend="riprap-models",
         hardware=hw,
         duration_s=duration_s,
+        joules_real=joules_real,
+        power_w_real=power_w_real,
     )
     return r.json()
 
 
+def _parse_gpu_headers(headers) -> tuple[float | None, float | None]:
+    """Pull (joules, watts) from X-GPU-Energy-J / X-GPU-Power-W if the
+    proxy attached them. Returns (None, None) if the headers are absent
+    (older proxy build, NVML init failed, or the call streamed)."""
+    def _f(name: str) -> float | None:
+        v = headers.get(name)
+        if v is None or v == "":
+            return None
+        try:
+            return float(v)
+        except ValueError:
+            return None
+    return _f("x-gpu-energy-j"), _f("x-gpu-power-w")
+
+
 def _serialize_array(arr) -> str:
     """numpy/torch tensor → base64-encoded float32 raw bytes for transport.
     Each remote handler decodes to (shape, dtype=float32) and reconstructs.

app/llm.py

@@ -280,16 +280,59 @@ def _extract_usage(resp) -> tuple[int | None, int | None]:
         return (None, None)
 
 
+def _power_url() -> str | None:
+    """Build the proxy's /v1/power URL from RIPRAP_LLM_BASE_URL.
+    Returns None if remote isn't configured."""
+    if not _VLLM_BASE:
+        return None
+    base = _VLLM_BASE
+    # _VLLM_BASE looks like https://msradam-riprap-vllm.hf.space/v1
+    # The proxy's /v1/power lives at the same /v1 prefix.
+    if base.endswith("/v1"):
+        return base + "/power"
+    return base.rstrip("/") + "/v1/power"
+
+
+def _sample_gpu_power_w() -> float | None:
+    """Single GET to the proxy's /v1/power endpoint. Returns the
+    instantaneous reading in watts, or None if unreachable / NVML off."""
+    url = _power_url()
+    if not url:
+        return None
+    try:
+        import httpx as _httpx
+        with _httpx.Client(timeout=2.0) as c:
+            r = c.get(url, headers={"Authorization": f"Bearer {_VLLM_KEY}"})
+        if r.status_code != 200:
+            return None
+        data = r.json()
+        # Prefer the 1 s rolling average — smooths over the 100 ms sampler
+        # so a single mid-idle tick doesn't poison the bracket.
+        for k in ("power_w_avg_1s", "power_w", "power_w_avg_5s"):
+            v = data.get(k)
+            if isinstance(v, (int, float)) and v > 0:
+                return float(v)
+    except Exception:
+        return None
+    return None
+
+
 def _record_llm(*, alias: str, messages: list[dict], duration_s: float,
                 resp=None, completion_text: str | None = None,
-                stream: bool = False) -> None:
+                stream: bool = False,
+                avg_power_w: float | None = None) -> 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."""
+    char/4 estimate of the input messages.
+
+    `avg_power_w`, when provided, comes from a real NVML read on the
+    inference proxy (bracketed before / after the call). The tracker
+    converts that to joules via `power × duration` and flags the row
+    `measured=True`. Estimates fall through to the data-sheet figure.
+    """
     info = backend_info()
     hardware = _hardware_for(info["engine"])
     backend = info["engine"]
@@ -300,6 +343,8 @@ def _record_llm(*, alias: str, messages: list[dict], duration_s: float,
             " " * 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)
+    joules_real = (avg_power_w * duration_s
+                   if avg_power_w is not None and duration_s > 0 else None)
     emissions.active().record_llm(
         model=alias,
         backend=backend,
@@ -308,6 +353,8 @@ def _record_llm(*, alias: str, messages: list[dict], duration_s: float,
         completion_tokens=completion_tokens,
         duration_s=duration_s,
         stream=stream,
+        joules_real=joules_real,
+        power_w_real=avg_power_w,
     )
 
 
@@ -380,18 +427,40 @@ 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"
+    # Bracket the call with /v1/power samples so we get a real
+    # NVML-derived energy reading, not a data-sheet estimate. Each
+    # sample is a sub-100 ms GET; the proxy returns a 1 s rolling avg
+    # so a single tick of idleness doesn't poison the bracket.
+    p0 = _sample_gpu_power_w()
     t0 = time.monotonic()
     if stream:
         s = _router.completion(model=alias, messages=messages,
                                stream=True, **kwargs)
 
         def _on_stream_done(full_text: str) -> None:
+            duration_s = time.monotonic() - t0
+            p1 = _sample_gpu_power_w()
+            avg = _avg_w(p0, p1)
             _record_llm(alias=alias, messages=messages,
-                        duration_s=time.monotonic() - t0,
-                        completion_text=full_text, stream=True)
+                        duration_s=duration_s,
+                        completion_text=full_text, stream=True,
+                        avg_power_w=avg)
 
         return _stream_to_ollama_shape(s, on_done=_on_stream_done)
     resp = _router.completion(model=alias, messages=messages, **kwargs)
+    duration_s = time.monotonic() - t0
+    p1 = _sample_gpu_power_w()
+    avg = _avg_w(p0, p1)
     _record_llm(alias=alias, messages=messages,
-                duration_s=time.monotonic() - t0, resp=resp, stream=False)
+                duration_s=duration_s, resp=resp, stream=False,
+                avg_power_w=avg)
     return _to_ollama_shape(resp)
+
+
+def _avg_w(p0: float | None, p1: float | None) -> float | None:
+    """Mean of two power samples; falls back to whichever single sample
+    is available, or None if both failed."""
+    pair = [p for p in (p0, p1) if p is not None]
+    if not pair:
+        return None
+    return sum(pair) / len(pair)

web/sveltekit/build/200.html

@@ -6,17 +6,17 @@
     <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.YmL7ZSOR.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/CJeJVIjP.js" rel="modulepreload">
+    <link href="/_app/immutable/entry/start.C_DzDADc.js" rel="modulepreload">
+		<link href="/_app/immutable/chunks/DJJH9JR_.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/BTUA7_xE.js" rel="modulepreload">
-		<link href="/_app/immutable/entry/app.BhktVbRh.js" rel="modulepreload">
+		<link href="/_app/immutable/entry/app.DmxSSduu.js" rel="modulepreload">
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 		<link href="/_app/immutable/chunks/CW0zSL4D.js" rel="modulepreload">
-		<link href="/_app/immutable/nodes/0.Dv1TzIuH.js" rel="modulepreload">
+		<link href="/_app/immutable/nodes/0.DInKAumT.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/DxQlA7U2.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/B3Pg95Il.js" rel="modulepreload">
+		<link href="/_app/immutable/chunks/D8NyAcAP.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/DCD6_LXk.js" rel="modulepreload">
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 		<link href="/_app/immutable/chunks/DixtWtwq.js" rel="modulepreload">
@@ -28,15 +28,15 @@
     <div style="display: contents">
 			<script>
 				{
-					__sveltekit_1sh7tn8 = {
+					__sveltekit_a2xq49 = {
 						base: ""
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("/_app/immutable/entry/start.YmL7ZSOR.js"),
-						import("/_app/immutable/entry/app.BhktVbRh.js")
+						import("/_app/immutable/entry/start.C_DzDADc.js"),
+						import("/_app/immutable/entry/app.DmxSSduu.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element);
 					});

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

@@ -1 +0,0 @@
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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),h=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),m=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=gr(),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(),F=n(ee(q),2),T=r(F),Y=r(T,!0);t(T),se(),t(F),C(()=>g(Y,a(i))),c(D,q)};L(u,D=>{a(i)>0&&D(v)})}var k=n(u,2);{var A=D=>{var q=ur(),F=n(ee(q),2),T=r(F),Y=r(T,!0);t(T),se(),t(F),C(()=>g(Y,a(h))),c(D,q)};L(k,D=>{a(h)>0&&D(A)})}var E=n(k,2);{var z=D=>{var q=mr(),F=n(ee(q),2),T=r(F),Y=r(T,!0);t(T),se(),t(F),C(()=>g(Y,a(d))),c(D,q)};L(E,D=>{a(d)>0&&D(z)})}var W=n(E,2);{var I=D=>{var q=hr(),F=n(ee(q),2),T=r(F),Y=r(T,!0);t(T),se(),t(F),C(()=>g(Y,a(p))),c(D,q)};L(W,D=>{a(p)>0&&D(I)})}var O=n(W,4),H=r(O),U=r(H,!0);t(H),t(O),t(x),C(D=>{g(s,`${e.cardCount??""} card${e.cardCount===1?"":"s"}`),g(N,a(M)),g(U,D)},[()=>S(a(m))]),c(R,x),J()}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){X(e,!0);let w=ne(e,"depth",3,0);function f(h){return{fired:"●",silent_by_design:"○",warned:"▲",errored:"■",not_invoked:"□"}[h]}function M(h){return h.status==="warned"?"#B7791F":h.status==="errored"?"#B91C1C":h.status==="silent_by_design"||h.status==="not_invoked"?"var(--ink-tertiary)":h.tier?`var(--tier-${h.tier})`:"var(--ink)"}var i=wr();te(i,21,()=>e.members,h=>h.id,(h,d)=>{var p=br(),m=ee(p),S=r(m),x=r(S,!0);t(S);var o=n(S,2),s=r(o,!0);t(o);var l=n(o,2);{var b=I=>{var O=_r(),H=r(O);{let U=P(()=>`var(--tier-${a(d).tier})`);ge(H,{get tier(){return a(d).tier},size:9,get color(){return a(U)}})}t(O),c(I,O)};L(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 O=yr(),H=r(O);t(O),C(()=>g(H,`— ${a(d).note??""}`)),c(I,O)};L(v,I=>{a(d).note&&I(k)})}var A=n(v,2);{var E=I=>{var O=pr(),H=r(O,!0);t(O),C(U=>g(H,U),[()=>a(d).ms<1e3?`${a(d).ms}ms`:`${(a(d).ms/1e3).toFixed(1)}s`]),c(I,O)};L(A,I=>{a(d).ms!=null&&I(E)})}t(m);var z=n(m,2);{var W=I=>{var O=xr(),H=r(O);{let U=P(()=>w()+1);He(H,{get members(){return a(d).children},get depth(){return a(U)}})}t(O),c(I,O)};L(z,I=>{var O;(O=a(d).children)!=null&&O.length&&I(W)})}C((I,O)=>{he(m,1,`prov-row prov-status-${a(d).status??""}`,"svelte-qakefz"),ve(S,`color: ${I??""};`),g(x,O),g(s,a(d).id),g(u,a(d).name)},[()=>M(a(d)),()=>f(a(d).status)]),c(h,p)}),t(i),C(()=>ve(i,`--depth: ${w()??""};`)),c(R,i),J()}var kr=y('<div class="silent svelte-16iv0n8"><span class="silent-tag svelte-16iv0n8">silent</span> <p class="silent-prose svelte-16iv0n8"><!></p></div>'),Sr=y("<div></div>"),Mr=y('<div class="prov-body svelte-16iv0n8"><!></div>'),Cr=y('<section><header class="region-head svelte-16iv0n8"><div class="region-head-left svelte-16iv0n8"><span class="region-num svelte-16iv0n8"> </span> <h3 class="region-name svelte-16iv0n8"> </h3> <span class="region-role svelte-16iv0n8"> </span> <span class="region-tag svelte-16iv0n8"> </span></div> <!></header> <!> <div class="prov svelte-16iv0n8"><button type="button" class="prov-toggle svelte-16iv0n8"><span class="prov-caret svelte-16iv0n8" aria-hidden="true"> </span> <span 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Atomic functions still ran (see provenance) and returned silence rather than confabulation.");c(B,j)},xe=B=>{var j=we("No cards for this Stone on this query.");c(B,j)};L(ue,B=>{e.stone==="lodestone"?B(ye):B(xe,-1)})}t(oe),t(V),c($,V)},q=$=>{var V=Sr();let oe;te(V,21,()=>e.cards,ue=>ue.id,(ue,ye)=>{Oe(ue,{get card(){return a(ye)},get density(){return w()},get linkedKey(){return M()},get onCite(){return e.onCite},get onLink(){return e.onLink}})}),t(V),C(()=>oe=he(V,1,"rail svelte-16iv0n8",null,oe,{"rail-capstone":a(d)})),c($,V)};L(U,$=>{e.cards.length===0?$(D):$(q,-1)})}var F=n(U,2),T=r(F),Y=r(T),G=r(Y,!0);t(Y);var ae=n(Y,2),Q=r(ae);t(ae);var Z=n(ae,2),le=r(Z);t(Z),t(T);var pe=n(T,2);{var _e=$=>{var V=Mr(),oe=r(V);He(oe,{get members(){return e.trace.members}}),t(V),C(()=>_(V,"id",`prov-body-${e.stone}`)),c($,V)};L(pe,$=>{a(l)&&$(_e)})}t(F),t(b),C(()=>{he(b,1,`region 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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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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=Br(),i=r(M),h=n(r(i),2),d=r(h);t(h),t(i);var p=n(i,2);te(p,21,()=>f,m=>m.id,(m,S)=>{Oe(m,{get card(){return a(S)},get density(){return w()}})}),t(p),t(M),C(()=>g(d,`${f.length??""} variants`)),c(R,M)}var Ar=y('<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 Wr(R,e){X(e,!0);let w=ne(e,"density",3,"comfortable"),f=ne(e,"provenanceMode",3,"smart"),M=ne(e,"showGrammar",3,!1),i=ne(e,"linkedKey",3,null),h=P(()=>{const s={cornerstone:[],keystone:[],touchstone:[],lodestone:[],capstone:[]};for(const l of e.data.cards)s[l.stone].push(l);return s}),d=P(()=>{const s={cornerstone:{key:"cornerstone",members:[]},keystone:{key:"keystone",members:[]},touchstone:{key:"touchstone",members:[]},lodestone:{key:"lodestone",members:[]},capstone:{key:"capstone",members:[]}};for(const l of e.data.stones)s[l.key]=l;return s});var p=Ar(),m=n(r(p),2);It(m,{get cards(){return e.data.cards},get stones(){return e.data.stones},get wallSeconds(){return e.data.wallSeconds},get cacheHit(){return e.data.cacheHit},get emissions(){return e.data.emissions}});var S=n(m,2);te(S,16,()=>Ee,s=>s,(s,l)=>{Nr(s,{get stone(){return l},get cards(){return a(h)[l]},get trace(){return a(d)[l]},get density(){return w()},get provenanceMode(){return f()},get linkedKey(){return i()},get onCite(){return e.onCite},get onLink(){return e.onLink}})});var x=n(S,2);{var o=s=>{Lr(s,{get density(){return w()}})};L(x,s=>{M()&&s(o)})}t(p),c(R,p),J()}const Fr={cornerstone:[{id:"CORN-001",name:"sandy_inundation.lookup",stepNames:["sandy","sandy_inundation","sandy_nta"],tier:"empirical",skipReason:"Sandy 2012 inundation: query outside NYC bounds"},{id:"CORN-002",name:"dep_stormwater.lookup",stepNames:["dep","dep_stormwater","dep_extreme_2080_nta","dep_moderate_2050_nta","dep_moderate_current_nta"],tier:"modeled",skipReason:"NYC DEP stormwater scenarios: query outside NYC bounds"},{id:"CORN-003",name:"usgs_hwm.spatial_join",stepNames:["ida_hwm","ida_hwm_2021"],tier:"empirical",skipReason:"USGS Ida HWMs: no marks within 800 m of address"},{id:"CORN-004",name:"prithvi_water.lookup",stepNames:["prithvi","prithvi_eo_v2"],tier:"modeled",skipReason:"Prithvi-EO Ida polygons: no polygons within 500 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dataset"},{id:"KEY-006",name:"terramind.buildings",stepNames:["terramind_buildings","terramind_synthesis"],tier:"modeled",skipReason:"TerraMind Buildings: no eo_chip available for this address (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: 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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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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>,
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"},{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. 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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. 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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/DDAjlznB.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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     <div style="display: contents"><!--[--><!--[0--><!--[--><!--[0--><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><!----> <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"><svg class="rip-mark svelte-rq15fr" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 36 36" width="20" height="20" fill="currentColor" role="img" aria-label="Riprap"><rect x="2.16669" y="3" width="9.99998" height="3.33333"></rect><rect x="2.16669" y="9.66665" width="9.99998" height="3.33333"></rect><rect x="2.16669" y="16.3333" width="9.99998" height="3.3334"></rect><rect x="2.16669" y="23.00002" width="9.99998" height="3.33333"></rect><rect x="2.16669" y="29.66667" width="9.99998" height="3.33333"></rect><rect x="23.83334" y="23.00002" width="9.99998" height="3.33333"></rect><rect x="23.83334" y="29.66667" width="9.99998" height="3.33333"></rect><path d="M13.83336,3V33h8.33335V11.33335A8.33337,8.33337,0,0,0,13.83336,3Z"></path></svg><!---->riprap</a> <span class="app-header-sep">/</span> <span class="app-header-context">flood-exposure briefing</span></div> <div class="app-header-mid"><!--[-1--><!--]--></div> <div class="app-header-right"><a class="app-header-link" href="#methodology">methodology</a> <!--[-1--><!--]--> <!--[-1--><!--]--><!----></div></div></header><!----><!--]--> <main class="svelte-12qhfyh"><!--[--><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">80 Pioneer Street · Red Hook · Brooklyn</span></h1> <div class="briefing-prose" role="log" aria-live="polite" aria-atomic="false" aria-label="Streaming flood-exposure briefing"><!--[--><!--[0--><div class="briefing-status briefing-fade-in svelte-cc2m0h"><!----><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><!----></div><!--]--><!--[1--><div class="briefing-fade-in svelte-cc2m0h"><h3 class="briefing-section-head"><span class="briefing-section-num">01</span> <span class="briefing-section-label">Status</span> <!--[-1--><!--]--> <!--[0--><span class="briefing-section-title">Coastal-edge, post-Sandy, multi-hazard</span><!--]--></h3><!----></div><!--]--><!--[-1--><p class="briefing-para briefing-fade-in svelte-cc2m0h"><!--[--><!--[0--><span class="claim claim-empirical" data-tier="empirical"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->The address sits 380 ft inland of the Erie Basin bulkhead, at a ground elevation of 6.2 ft NAVD88<!----></span></span><!----><!--[0--><a href="#cite-c1" class="inline-cite" data-cite="c1" aria-label="Citation 1: USGS, Hurricane Sandy storm tide elevations, NY-NJ Harbor"><sup>[1]</sup></a><!--]--><!--]--><!--[-1--><span> — within the </span><!--]--><!--[0--><span class="claim claim-empirical" data-tier="empirical"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->2012 Sandy Inundation Zone, which recorded a peak storm tide of 11.4 ft NAVD88 at the Battery<!----></span></span><!----><!--[0--><a href="#cite-c2" class="inline-cite" data-cite="c2" aria-label="Citation 2: NYC OEM, Hurricane Sandy Inundation Zone (2012)"><sup>[2]</sup></a><!--]--><!--]--><!--[-1--><span> 2.4 mi to the northwest. </span><!--]--><!--[0--><span class="claim claim-modeled" data-tier="modeled"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->FEMA's preliminary FIRM places the parcel in Zone AE (BFE 11 ft NAVD88)<!----></span></span><!----><!--[0--><a href="#cite-c4" class="inline-cite" data-cite="c4" aria-label="Citation 4: FEMA, Preliminary Flood Insurance Rate Map, panel 36047C0207G"><sup>[4]</sup></a><!--]--><!--]--><!--[-1--><span>, a 4.8 ft freeboard above current grade. The site is upgradient of two FloodNet sensors and three blocks from a chronic 311 cluster.</span><!--]--><!--]--></p><!--]--><!--[1--><div class="briefing-fade-in svelte-cc2m0h"><h3 class="briefing-section-head"><span class="briefing-section-num">02</span> <span class="briefing-section-label">Empirical evidence</span> <!--[0--><span class="briefing-section-tier"><span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span><!--]--> <!--[-1--><!--]--></h3><!----></div><!--]--><!--[-1--><p class="briefing-para briefing-fade-in svelte-cc2m0h"><!--[--><!--[0--><span class="claim claim-empirical" data-tier="empirical"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->FloodNet sensor BK-RH-002 (Coffey Park, 1,200 ft south) recorded 7 above-curb events between 2024-06 and 2026-04<!----></span></span><!----><!--[0--><a href="#cite-c3" class="inline-cite" data-cite="c3" aria-label="Citation 3: FloodNet NYC, Sensor BK-RH-002 — Coffey Park, monthly exceedance"><sup>[3]</sup></a><!--]--><!--]--><!--[-1--><span>, with a peak depth of 14.3 cm during the 2025-09-29 nor'easter. </span><!--]--><!--[0--><span class="claim claim-empirical" data-tier="empirical"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->USGS post-Sandy high-water marks within 500 ft cluster between 6.8 and 8.1 ft NAVD88<!----></span></span><!----><!--[0--><a href="#cite-c1" class="inline-cite" data-cite="c1" aria-label="Citation 1: USGS, Hurricane Sandy storm tide elevations, NY-NJ Harbor"><sup>[1]</sup></a><!--]--><!--]--><!--[-1--><span>, consistent with 0.6–1.9 ft of standing water at the queried address during the storm.</span><!--]--><!--]--></p><!--]--><!--[1--><div class="briefing-fade-in svelte-cc2m0h"><h3 class="briefing-section-head"><span class="briefing-section-num">03</span> <span class="briefing-section-label">Modeled scenarios</span> <!--[0--><span class="briefing-section-tier"><span class="tier-badge tier-badge-modeled svelte-1acpjpp" title="Scenario-based prediction" style="color: var(--tier-modeled);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> MOD</span><!----></span><!--]--> <!--[-1--><!--]--></h3><!----></div><!--]--><!--[-1--><p class="briefing-para briefing-fade-in svelte-cc2m0h"><!--[--><!--[0--><span class="claim claim-modeled" data-tier="modeled"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->DEP's Moderate Stormwater Scenario (2.13 in/hr design storm) shows ponding ≥4 in across the western half of the lot<!----></span></span><!----><!--[0--><a href="#cite-c5" class="inline-cite" data-cite="c5" aria-label="Citation 5: NYC DEP, Stormwater Flood Map — Moderate Stormwater Scenario"><sup>[5]</sup></a><!--]--><!--]--><!--[-1--><span>, routed by the 1.2% slope toward Imlay St. </span><!--]--><!--[0--><span class="claim claim-modeled" data-tier="modeled"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->Under NPCC4's 2050 90th-percentile sea-level rise (30 in)<!----></span></span><!----><!--[0--><a href="#cite-c6" class="inline-cite" data-cite="c6" aria-label="Citation 6: NPCC4, Sea-level rise projections, 2050 90th percentile"><sup>[6]</sup></a><!--]--><!--]--><!--[-1--><span>, the parcel falls within the projected daily-tidal floodplain by mid-century. </span><!--]--><!--[0--><span class="claim claim-synthetic" data-tier="synthetic"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Synthetic prior: generated, not observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-11" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="10" height="10" fill="url(#rip-stripe-synthetic-11)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->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<!----></span></span><!----><!--[0--><a href="#cite-c9" class="inline-cite" data-cite="c9" aria-label="Citation 9: TerraMind v1.2, Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded)"><sup>[9]</sup></a><!--]--><!--]--><!--[-1--><span>; treat with appropriate caution.</span><!--]--><!--]--></p><!--]--><!--[1--><div class="briefing-fade-in svelte-cc2m0h"><h3 class="briefing-section-head"><span class="briefing-section-num">04</span> <span class="briefing-section-label">Policy context</span> <!--[-1--><!--]--> <!--[-1--><!--]--></h3><!----></div><!--]--><!--[-1--><p class="briefing-para briefing-fade-in svelte-cc2m0h"><!--[--><!--[0--><span class="claim claim-proxy" data-tier="proxy"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5.5" cy="5.5" r="5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----></span> <span class="claim-body"><!---->311 flood complaints within the surrounding census tract total 89 calls over 2019–2025, with seasonal clustering in Aug–Oct<!----></span></span><!----><!--[0--><a href="#cite-c7" class="inline-cite" data-cite="c7" aria-label="Citation 7: NYC 311, Flooding service requests, BK CB6 2019–2025"><sup>[7]</sup></a><!--]--><!--]--><!--[-1--><span>. </span><!--]--><!--[0--><span class="claim claim-proxy" data-tier="proxy"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5.5" cy="5.5" r="5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----></span> <span class="claim-body"><!---->NFIP claims aggregated to tract 36047008500 total $4.1M across 47 paid losses since 2000<!----></span></span><!----><!--[0--><a href="#cite-c8" class="inline-cite" data-cite="c8" aria-label="Citation 8: FEMA NFIP, National Flood Insurance Program claims, tract 36047008500"><sup>[8]</sup></a><!--]--><!--]--><!--[-1--><span>. </span><!--]--><!--[0--><span class="claim claim-modeled" data-tier="modeled"><span class="claim-glyph" aria-hidden="false"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="claim-body"><!---->The site lies within the NYC Waterfront Revitalization Program Coastal Risk Area; CEQR §817 review applies to any discretionary action<!----></span></span><!----><!--[0--><a href="#cite-c10" class="inline-cite" data-cite="c10" aria-label="Citation 10: NYC DCP, Waterfront Revitalization Program — Coastal Risk Area"><sup>[10]</sup></a><!--]--><!--]--><!--[-1--><span>.</span><!--]--><!--]--></p><!--]--><!--]--></div><!----></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 class="map-frame svelte-wk2bu4" data-linked=""><div role="application" aria-label="Flood-exposure map for 80 Pioneer St" class="rip-map-container svelte-wk2bu4"></div> <!--[-1--><!--]--></div><!----> <aside class="layers-panel svelte-1g2dety" aria-label="Map layers grouped by Stone"><div class="layers-head svelte-1g2dety"><span class="section-label">Layers · grouped by Stone</span></div> <!--[--><details class="layers-group region-cornerstone svelte-1g2dety" open=""><summary class="svelte-1g2dety"><span class="layers-caret svelte-1g2dety" aria-hidden="true">▾</span> <span class="layers-stone-name svelte-1g2dety">Cornerstone</span> <span class="layers-stone-tag svelte-1g2dety">— what NYC's ground remembers</span> <!--[0--><span class="layers-count svelte-1g2dety">4</span><!--]--></summary> <ul class="layers-list svelte-1g2dety"><!--[-1--><!--[--><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">Sandy Inundation Zone (2012)</span> <span class="layers-meta svelte-1g2dety">NYC OEM · <span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">FEMA / DEP scenarios</span> <span class="layers-meta svelte-1g2dety">FEMA · NYC DEP · <span class="tier-badge tier-badge-modeled svelte-1acpjpp" title="Scenario-based prediction" style="color: var(--tier-modeled);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> MOD</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">Ida HWM points (2021)</span> <span class="layers-meta svelte-1g2dety">USGS STN · <span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety dim"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5.5" cy="5.5" r="5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">Microtopography (HAND/TWI)</span> <span class="layers-meta svelte-1g2dety">USGS 3DEP · <span class="tier-badge tier-badge-proxy svelte-1acpjpp" title="Indirect indicator" style="color: var(--tier-proxy);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5" cy="5" r="4.5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----> PRX</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[0--><span class="layers-state-dim svelte-1g2dety" title="Not yet wired to map source">off · catalog</span><!--]--></span></li><!--]--><!--]--></ul></details><details class="layers-group region-keystone svelte-1g2dety" open=""><summary class="svelte-1g2dety"><span class="layers-caret svelte-1g2dety" aria-hidden="true">▾</span> <span class="layers-stone-name svelte-1g2dety">Keystone</span> <span class="layers-stone-tag svelte-1g2dety">— what's exposed</span> <!--[0--><span class="layers-count svelte-1g2dety">5</span><!--]--></summary> <ul class="layers-list svelte-1g2dety"><!--[-1--><!--[--><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">MTA subway entrances</span> <span class="layers-meta svelte-1g2dety">MTA Open Data · <span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">NYCHA developments</span> <span class="layers-meta svelte-1g2dety">NYC OD phvi-damg · <span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">DOE schools</span> <span class="layers-meta svelte-1g2dety">NYC DOE Locations · <span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">DOH hospitals</span> <span class="layers-meta svelte-1g2dety">NYS DOH vn5v-hh5r · <span class="tier-badge tier-badge-empirical svelte-1acpjpp" title="Directly measured or observed" style="color: var(--tier-empirical);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> EMP</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Synthetic prior: generated, not observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-11" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="10" height="10" fill="url(#rip-stripe-synthetic-11)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">TerraMind Buildings (current)</span> <span class="layers-meta svelte-1g2dety">msradam/TerraMind-NYC-Adapters · <span class="tier-badge tier-badge-synthetic svelte-1acpjpp" title="Generated, not observed" style="color: var(--tier-synthetic);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Synthetic prior: generated, not observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-10" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="9" height="9" fill="url(#rip-stripe-synthetic-10)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----> SYN</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><!--]--><!--]--></ul></details><details class="layers-group region-touchstone svelte-1g2dety" open=""><summary class="svelte-1g2dety"><span class="layers-caret svelte-1g2dety" aria-hidden="true">▾</span> <span class="layers-stone-name svelte-1g2dety">Touchstone</span> <span class="layers-stone-tag svelte-1g2dety">— what's happening now</span> <!--[0--><span class="layers-count svelte-1g2dety">4</span><!--]--></summary> <ul class="layers-list svelte-1g2dety"><!--[-1--><!--[--><li class="layers-row svelte-1g2dety dim"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5.5" cy="5.5" r="5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">311 flood complaints</span> <span class="layers-meta svelte-1g2dety">NYC 311 · <span class="tier-badge tier-badge-proxy svelte-1acpjpp" title="Indirect indicator" style="color: var(--tier-proxy);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5" cy="5" r="4.5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----> PRX</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[0--><span class="layers-state-dim svelte-1g2dety" title="Not yet wired to map source">off · catalog</span><!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5.5" cy="5.5" r="5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">FloodNet sensors</span> <span class="layers-meta svelte-1g2dety">FloodNet NYC · <span class="tier-badge tier-badge-proxy svelte-1acpjpp" title="Indirect indicator" style="color: var(--tier-proxy);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5" cy="5" r="4.5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----> PRX</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Synthetic prior: generated, not observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-11" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="10" height="10" fill="url(#rip-stripe-synthetic-11)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">TerraMind LULC (current)</span> <span class="layers-meta svelte-1g2dety">msradam/TerraMind-NYC-Adapters · <span class="tier-badge tier-badge-synthetic svelte-1acpjpp" title="Generated, not observed" style="color: var(--tier-synthetic);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Synthetic prior: generated, not observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-10" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="9" height="9" fill="url(#rip-stripe-synthetic-10)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----> SYN</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><li class="layers-row svelte-1g2dety"><span class="layers-glyph svelte-1g2dety" aria-hidden="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----></span> <span class="layers-text svelte-1g2dety"><span class="layers-label svelte-1g2dety">Prithvi-NYC-Pluvial flood pred.</span> <span class="layers-meta svelte-1g2dety">msradam/Prithvi-EO-2.0-NYC-Pluvial · <span class="tier-badge tier-badge-modeled svelte-1acpjpp" title="Scenario-based prediction" style="color: var(--tier-modeled);"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> MOD</span><!----></span></span> <span class="layers-state svelte-1g2dety"><!--[1-->on<!--]--></span></li><!--]--><!--]--></ul></details><details class="layers-group region-lodestone svelte-1g2dety" open=""><summary class="svelte-1g2dety"><span class="layers-caret svelte-1g2dety" aria-hidden="true">▾</span> <span class="layers-stone-name svelte-1g2dety">Lodestone</span> <span class="layers-stone-tag svelte-1g2dety">— what's coming</span> <!--[-1--><!--]--></summary> <ul class="layers-list svelte-1g2dety"><!--[0--><li class="layers-row layers-row-empty svelte-1g2dety"><span class="layers-empty-text svelte-1g2dety">no map layers — see Findings cards</span></li><!--]--></ul></details><details class="layers-group region-capstone svelte-1g2dety" open=""><summary class="svelte-1g2dety"><span class="layers-caret svelte-1g2dety" aria-hidden="true">▾</span> <span class="layers-stone-name svelte-1g2dety">Capstone</span> <span class="layers-stone-tag svelte-1g2dety">— writes it all down with citations</span> <!--[-1--><!--]--></summary> <ul class="layers-list svelte-1g2dety"><!--[1--><li class="layers-row layers-row-empty svelte-1g2dety"><span class="layers-empty-text svelte-1g2dety">not a map layer</span></li><!--]--></ul></details><!--]--> <div class="layers-masters svelte-1g2dety" role="group" aria-label="Master tier toggles"><span class="section-label">Tier toggles</span> <div class="layers-master-row svelte-1g2dety"><!--[--><button type="button" class="layers-master svelte-1g2dety is-on" aria-pressed="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="11" height="11" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> <span>EMP</span> <span class="layers-master-state svelte-1g2dety">ON</span></button><button type="button" class="layers-master svelte-1g2dety is-on" aria-pressed="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="10" height="10" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> <span>MOD</span> <span class="layers-master-state svelte-1g2dety">ON</span></button><button type="button" class="layers-master svelte-1g2dety is-on" aria-pressed="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Proxy: indirect indicator" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Proxy: indirect indicator</title><!--[2--><circle cx="5.5" cy="5.5" r="5" fill="var(--tier-proxy)"></circle><!--]--></svg><!----> <span>PRX</span> <span class="layers-master-state svelte-1g2dety">ON</span></button><button type="button" class="layers-master svelte-1g2dety is-on" aria-pressed="true"><svg width="11" height="11" viewBox="0 0 11 11" role="img" aria-label="Synthetic prior: generated, not observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-11" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="10" height="10" fill="url(#rip-stripe-synthetic-11)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----> <span>SYN</span> <span class="layers-master-state svelte-1g2dety">ON</span></button><!--]--></div></div></aside><!----></div></aside> <aside id="region-cites" class="app-region app-region-cites" aria-label="Citations"><aside class="citation-drawer svelte-1p339fd" aria-label="Citations"><div class="citation-drawer-head"><span class="section-label">Citations · 10</span> <span class="citation-drawer-meta">live · primary sources</span></div> <ol class="citation-list"><!--[--><li id="cite-c1" class="citation-item"><span class="citation-num">[1]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> <span class="citation-source">USGS</span> <span class="citation-vintage">v. 2013-05</span></div> <div class="citation-title"><!--[0--><a href="https://pubs.usgs.gov/of/2013/1234/" target="_blank" rel="noopener noreferrer">Hurricane Sandy storm tide elevations, NY-NJ Harbor</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">USGS-OFR-2013-1234</span> <span class="citation-retrieved">retr. 2026-04-28</span></div></div></li><li id="cite-c2" class="citation-item"><span class="citation-num">[2]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> <span class="citation-source">NYC OEM</span> <span class="citation-vintage">v. 2013-01</span></div> <div class="citation-title"><!--[0--><a href="https://data.cityofnewyork.us/dataset/sandy-inundation-zone" target="_blank" rel="noopener noreferrer">Hurricane Sandy Inundation Zone (2012)</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">NYCOEM-SIZ-2013</span> <span class="citation-retrieved">retr. 2026-04-28</span></div></div></li><li id="cite-c3" class="citation-item"><span class="citation-num">[3]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Empirical: directly measured or observed" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Empirical: directly measured or observed</title><!--[0--><rect x="0" y="0" width="10" height="10" fill="var(--tier-empirical)"></rect><!--]--></svg><!----> <span class="citation-source">FloodNet NYC</span> <span class="citation-vintage">v. 2026-04</span></div> <div class="citation-title"><!--[0--><a href="https://floodnet.nyc/sensor/BK-RH-002" target="_blank" rel="noopener noreferrer">Sensor BK-RH-002 — Coffey Park, monthly exceedance</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">FN-BK-RH-002</span> <span class="citation-retrieved">retr. 2026-05-02</span></div></div></li><li id="cite-c4" class="citation-item"><span class="citation-num">[4]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> <span class="citation-source">FEMA</span> <span class="citation-vintage">v. 2024-09</span></div> <div class="citation-title"><!--[0--><a href="https://msc.fema.gov/portal/search" target="_blank" rel="noopener noreferrer">Preliminary Flood Insurance Rate Map, panel 36047C0207G</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">FEMA-FIRM-36047C0207G</span> <span class="citation-retrieved">retr. 2026-04-28</span></div></div></li><li id="cite-c5" class="citation-item"><span class="citation-num">[5]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> <span class="citation-source">NYC DEP</span> <span class="citation-vintage">v. 2024-06</span></div> <div class="citation-title"><!--[0--><a href="https://nyc.gov/stormwater-map" target="_blank" rel="noopener noreferrer">Stormwater Flood Map — Moderate Stormwater Scenario</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">NYCDEP-SWFM-2024</span> <span class="citation-retrieved">retr. 2026-04-28</span></div></div></li><li id="cite-c6" class="citation-item"><span class="citation-num">[6]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> <span class="citation-source">NPCC4</span> <span class="citation-vintage">v. 2024-03</span></div> <div class="citation-title"><!--[0--><a href="https://nyas.org/npcc4" target="_blank" rel="noopener noreferrer">Sea-level rise projections, 2050 90th percentile</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">NPCC4-Ch3-Tbl3.2</span> <span class="citation-retrieved">retr. 2026-04-28</span></div></div></li><li id="cite-c7" class="citation-item"><span class="citation-num">[7]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Proxy: indirect indicator" style="flex: none; 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display: inline-block; vertical-align: -0.12em;"><title>Synthetic prior: generated, not observed</title><!--[-1--><defs><pattern id="rip-stripe-synthetic-10" width="3" height="3" patternUnits="userSpaceOnUse" patternTransform="rotate(45)"><line x1="0" y1="0" x2="0" y2="3" stroke="var(--tier-synthetic)" stroke-width="1.5"></line></pattern></defs><rect x="0.5" y="0.5" width="9" height="9" fill="url(#rip-stripe-synthetic-10)" stroke="var(--tier-synthetic)" stroke-width="1"></rect><!--]--></svg><!----> <span class="citation-source">TerraMind v1.2</span> <span class="citation-vintage">v. 2025-09</span></div> <div class="citation-title"><!--[-1-->Synthetic SAR backscatter for 2025-09-14 (Sentinel-1 cloud-occluded)<!--]--></div> <div class="citation-meta"><span class="citation-docid">RIPRAP-SYN-20250914</span> <span class="citation-retrieved">retr. 2026-05-02</span></div></div></li><li id="cite-c10" class="citation-item"><span class="citation-num">[10]</span> <div class="citation-body"><div class="citation-line-1"><svg width="10" height="10" viewBox="0 0 10 10" role="img" aria-label="Modeled: scenario-based prediction" style="flex: none; display: inline-block; vertical-align: -0.12em;"><title>Modeled: scenario-based prediction</title><!--[1--><rect x="0.5" y="0.5" width="9" height="9" fill="none" stroke="var(--tier-modeled)" stroke-width="1"></rect><!--]--></svg><!----> <span class="citation-source">NYC DCP</span> <span class="citation-vintage">v. 2022-11</span></div> <div class="citation-title"><!--[0--><a href="https://nyc.gov/dcp/wrp" target="_blank" rel="noopener noreferrer">Waterfront Revitalization Program — Coastal Risk Area</a><!--]--></div> <div class="citation-meta"><span class="citation-docid">NYCDCP-WRP-2022</span> <span class="citation-retrieved">retr. 2026-04-28</span></div></div></li><!--]--></ol> <div class="citation-drawer-foot"><span class="section-label">Trust signals</span> <p class="citation-foot-copy">All foundation models Apache-2.0. All data from public-record federal,
@@ -38,15 +38,15 @@
 			
 			<script>
 				{
-					__sveltekit_1sh7tn8 = {
+					__sveltekit_a2xq49 = {
 						base: new URL("..", location).pathname.slice(0, -1)
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("../_app/immutable/entry/start.YmL7ZSOR.js"),
-						import("../_app/immutable/entry/app.BhktVbRh.js")
+						import("../_app/immutable/entry/start.C_DzDADc.js"),
+						import("../_app/immutable/entry/app.DmxSSduu.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element, {
 							node_ids: [0, 5],

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

@@ -68,8 +68,14 @@ export interface EmissionsCall {
   backend: string;
   hardware: string;
   hardware_label: string;
+  /** Power figure used for this row's energy. When measured=true this is
+   *  the NVML-derived avg watts; otherwise it's the data-sheet fallback. */
   power_w: number;
   duration_s: number;
+  /** True when joules came from a real NVML read on the inference proxy
+   *  (X-GPU-Energy-J header for ML / bracket-sampled /v1/power for LLM).
+   *  False = data-sheet × duration estimate. */
+  measured: boolean;
   prompt_tokens?: number | null;
   completion_tokens?: number | null;
   total_tokens?: number | null;
@@ -80,6 +86,8 @@ export interface EmissionsCall {
 
 export interface EmissionsSummary {
   n_calls: number;
+  /** Number of calls whose joules came from a real GPU power read. */
+  n_measured: number;
   total_wh: number;
   total_mwh: number;
   total_joules: number;
@@ -91,15 +99,9 @@ export interface EmissionsSummary {
   };
   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;
+    label: string; 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;
 }
 

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

@@ -46,19 +46,38 @@
     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(' + ');
   });
+  // Fraction of calls that came back with a real NVML reading (vs.
+  // data-sheet fallback). Surfaced as a small ✓ / ~ badge so the
+  // viewer can tell whether the number is measured or estimated.
+  let emMeasuredFrac = $derived(
+    emissions && emissions.n_calls > 0
+      ? (emissions.n_measured ?? 0) / emissions.n_calls
+      : 0
+  );
+  let emMeasuredIcon = $derived(
+    emEnergy == null
+      ? ''
+      : emMeasuredFrac >= 0.9
+        ? '✓'           // all (or nearly all) calls measured on GPU
+        : emMeasuredFrac > 0
+          ? '◐'         // partial coverage
+          : '~'         // pure data-sheet estimate
+  );
   let emTooltip = $derived.by(() => {
     if (!emissions) return '';
+    const measuredLine = emissions.n_measured != null
+      ? `${emissions.n_measured}/${emissions.n_calls} calls measured on GPU (others use data-sheet estimate)`
+      : '';
     const lines = [
       `${emissions.n_calls} inference calls — ${emissions.total_joules} J total`,
       emHardware ? `Hardware: ${emHardware}` : '',
+      measuredLine,
       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');
@@ -98,9 +117,9 @@
   {#if emEnergy}
     <span class="rh-sep">·</span>
     <span class="rh-item rh-em" title={emTooltip}>
+      <span class="rh-em-icon" aria-hidden="true">{emMeasuredIcon}</span>
       <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>
@@ -137,13 +156,9 @@
   }
   .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;
+  .rh-em-icon {
+    margin-right: 4px;
     font-size: 10px;
-    letter-spacing: 0.03em;
     color: var(--ink-tertiary);
   }
 </style>