{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generate a forecast with AIFS Single v2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "nf6PiMYmLEtZ"
   },
   "source": [
    "This notebook demonstrates how to generate a forecast with AIFS Single v2 using:\n",
    "- ECMWF [open data](https://www.ecmwf.int/en/forecasts/datasets/open-data) \n",
    "- [anemoi-inference](https://anemoi-inference.readthedocs.io/en/latest/)\n",
    "- the `aifs_single_v2.0.ckpt` checkpoint - note this checkpoint only contains the model weights. It cannot be used for fine-tuning as it does not contain any information about the optimizer states, lr-scheduler states, etc."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prerequisites"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook requires:\n",
    "- Python 3.11 or 3.12\n",
    "- Ampere GPUs or newer (this notebook has been tested in Colab using the **L4** and **A100** runtimes, and on ECMWF's ATOS HPCF **AC cluster**)\n",
    "- Several GB of writable disk space\n",
    "\n",
    "Known limitations:\n",
    "- Even with compatible GPUs, this notebook may not work out-of-the-box on all systems. A compataible CUDA/PyTorch/FlashAttention environment is required. See https://github.com/Dao-AILab/flash-attention?tab=readme-ov-file#installation-and-features for more details."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "YDZrZ8HVxLfU"
   },
   "source": [
    "# 1. Install dependencies"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Uncomment the lines below to install the required packages, or use the provided pyproject or lock files to install the dependencies in your environment."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### To run this notebook in Colab (L4 or A100 runtimes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 44979,
     "status": "ok",
     "timestamp": 1733384436074,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "_sT8Re5jLRAH",
    "outputId": "384c13e8-e739-4e31-90c5-11970da5808f"
   },
   "outputs": [],
   "source": [
    "# !pip install -q anemoi-inference[huggingface]==0.8.3 anemoi-models==0.9.3 anemoi-utils==0.4.35.post3\n",
    "# !pip install -q torch==2.7.0 torch-geometric==2.6.1\n",
    "# !pip install -q earthkit-regrid==0.5.1 ecmwf-opendata==0.3.29 'earthkit-data<1.0.0'\n",
    "# !pip install -q flash-attn==2.7.4.post1"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### To run this notebook through JupyterHub on ECMWF's ATOS HPCF"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have access to GPUs on ECMWF's ATOS HPCF, you can run this notebook through [JupyterHub](https://jupyterhub.ecmwf.int/). \n",
    "\n",
    "Select the **ECMWF ATOS HPCF - GPU partition**\n",
    "\n",
    "**Note:** The quick-start method below installs packages in your personal Python package directory for the active Jupyter kernel. This is convenient for running the notebook, but it may affect other notebooks that use the same Python environment. We recommend creating a dedicated Python environment and registering it as a Jupyter kernel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install anemoi-inference[huggingface]==0.8.3 anemoi-models==0.9.3 anemoi-utils==0.4.35.post3\n",
    "# %pip install -q torch==2.7.0 torch-geometric==2.6.1\n",
    "# %pip install -q earthkit-regrid==0.5.1 ecmwf-opendata==0.3.29 'earthkit-data<1.0.0'\n",
    "# %pip install -q --force-reinstall --no-deps \"flash-attn @ https://github.com/cathalobrien/get-flash-attn/releases/download/v0.1-alpha/flash_attn-2.8.3+cu12torch2.7cxx11abiFALSE-cp312-cp312-linux_x86_64.whl\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Check runtime environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import platform\n",
    "import torch\n",
    "\n",
    "print(\"Platform:\", platform.platform())\n",
    "print(\"Torch:\", torch.__version__)\n",
    "print(\"CUDA available:\", torch.cuda.is_available())\n",
    "\n",
    "if not torch.cuda.is_available():\n",
    "    raise RuntimeError(\"CUDA GPU not available. This notebook requires a GPU.\")\n",
    "\n",
    "# See https://github.com/huggingface/transformers/issues/28188\n",
    "gpu_name = torch.cuda.get_device_name(0)\n",
    "major, minor = torch.cuda.get_device_capability(0)\n",
    "\n",
    "print(\"GPU:\", gpu_name)\n",
    "print(f\"Compute capability: {major}.{minor}\")\n",
    "\n",
    "if major < 8:\n",
    "    raise RuntimeError(\n",
    "        \"FlashAttention requires Ampere GPUs or newer\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import flash_attn\n",
    "\n",
    "print(\"FlashAttention:\", flash_attn.__version__)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 3143,
     "status": "ok",
     "timestamp": 1733384445221,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "VBJmsrqGLEtb"
   },
   "outputs": [],
   "source": [
    "import datetime\n",
    "from collections import defaultdict\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import earthkit.data as ekd\n",
    "import earthkit.regrid as ekr\n",
    "\n",
    "from anemoi.inference.runners.simple import SimpleRunner\n",
    "from anemoi.inference.outputs.printer import print_state\n",
    "\n",
    "from ecmwf.opendata import Client as OpendataClient"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Store downloaded ECMWF data in local cache:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ekd.config.set({'cache-policy': 'user'})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "x-JJcbnhLEtc"
   },
   "source": [
    "# 4. Prepare retrieval of initial conditions"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initial conditions are the initial state used by the model."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "B8DkdKfUxaPr"
   },
   "source": [
    "### List parameters to retrieve from ECMWF open data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 195,
     "status": "ok",
     "timestamp": 1733384595021,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "yZOyITo6LEtd"
   },
   "outputs": [],
   "source": [
    "PARAM_SFC = [\"10u\", \"10v\", \"2d\", \"2t\", \"msl\", \"skt\", \"sp\", \"tcw\", \"lsm\", \"z\", \"slor\", \"sdor\", \"sd\"]\n",
    "PARAM_SOIL =[\"vsw\",\"sot\"]\n",
    "PARAM_WAVE =[\"wmb\", \"h1012\", \"h1214\", \"h1417\", \"h1721\", \"h2125\", \"h2530\", \"mwd\", \"cdww\", \"mwp\", \"swh\"]\n",
    "PARAM_PL  = [\"gh\", \"t\", \"u\", \"v\", \"q\"]\n",
    "LEVELS = [1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 50, 10]\n",
    "SOIL_LEVELS = [1,2]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "-CdbpgHLxczB"
   },
   "source": [
    "### Choose open data source and set the latest available date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 2109,
     "status": "ok",
     "timestamp": 1733384601142,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "XwWLA0OcLEtd"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some requested dates are before 2026-05-12. Data before this date uses a different stream structure (06/18 UTC runs are under stream=scda/scwv) compared to data on or after 2026-05-12 (where those runs are under stream=oper/wave). This is handled automatically, but be aware that the underlying file structure differs across this boundary.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initial date is 2026-04-23 12:00:00\n"
     ]
    }
   ],
   "source": [
    "SOURCE = \"ecmwf\" # Other options are: \"azure\", \"aws\", or \"google\"\n",
    "\n",
    "DATE = OpendataClient(SOURCE).latest()\n",
    "print(\"Initial date is\", DATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "UMmVhb5uxiB9"
   },
   "source": [
    "### Create function to download and interpolate data from the ECMWF Open Data API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 215,
     "status": "ok",
     "timestamp": 1733384619515,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "8X2ShHMeLEtf"
   },
   "outputs": [],
   "source": [
    "def get_open_data(param, levelist=[], **kwargs):\n",
    "    fields = defaultdict(list)\n",
    "    # Get the data for the current date and the previous date as the model is initialised with t-6h data\n",
    "    for date in [DATE - datetime.timedelta(hours=6), DATE]:\n",
    "        data = ekd.from_source(\"ecmwf-open-data\", date=date, param=param, levelist=levelist, source = SOURCE, **kwargs)\n",
    "        \n",
    "        for f in data: # type: ignore\n",
    "            # Open data is between -180 and 180, we need to shift it to 0-360\n",
    "            assert f.to_numpy().shape == (721,1440)\n",
    "            values = np.roll(f.to_numpy(), -f.shape[1] // 2, axis=1)\n",
    "            # Interpolate the data to from 0.25 to N320\n",
    "            values = ekr.interpolate(values, {\"grid\": (0.25, 0.25)}, {\"grid\": \"N320\"})\n",
    "            # Add the values to the list\n",
    "            name = f\"{f.metadata('param')}_{f.metadata('levelist')}\" if levelist else f.metadata(\"param\")\n",
    "            fields[name].append(values)\n",
    "\n",
    "    # Create a single matrix for each parameter\n",
    "    for param, values in fields.items():\n",
    "        fields[param] = np.stack(values)\n",
    "\n",
    "    return fields"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "_yjso9wvxli0"
   },
   "source": [
    "### Store model input fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 186,
     "status": "ok",
     "timestamp": 1733384638318,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "as23RAZiLEtf"
   },
   "outputs": [],
   "source": [
    "fields = {}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Download initial conditions from ECMWF open data"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Downloads can take several minutes and may be interrupted during peak times."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "VJs1usVsxq5Q"
   },
   "source": [
    "### Download surface fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 17,
     "referenced_widgets": [
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      "3d271316983f41e0b2d0ef9548003f55"
     ]
    },
    "executionInfo": {
     "elapsed": 32963,
     "status": "ok",
     "timestamp": 1733384688321,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "b8sjaN5SLEtf",
    "outputId": "228d3a4d-ba64-4500-9b7e-64cfe1430401",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "By downloading data from the ECMWF open data dataset, you agree to the terms: Attribution 4.0 International (CC BY 4.0). Please attribute ECMWF when downloading this data.\n"
     ]
    }
   ],
   "source": [
    "fields.update(get_open_data(param=PARAM_SFC, levtype=\"sfc\"))\n",
    "assert all(p in fields for p in PARAM_SFC), \"Missing parameters: %s\" % (set(PARAM_SFC) - set(fields.keys()))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download wave fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                \r"
     ]
    }
   ],
   "source": [
    "fields.update(get_open_data(param=PARAM_WAVE, stream=\"wave\"))\n",
    "assert all(p in fields for p in PARAM_WAVE), \"Missing parameters: %s\" % (set(PARAM_WAVE) - set(fields.keys()))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download soil fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "soil=get_open_data(param=PARAM_SOIL,levelist=SOIL_LEVELS)\n",
    "\n",
    "soil_names = [f\"{p}_{lev}\" for p in PARAM_SOIL for lev in SOIL_LEVELS]\n",
    "assert all(p in soil for p in soil_names), \"Missing parameters: %s\" % (set(soil_names) - set(soil.keys()))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "m-6jpVe9xvxr"
   },
   "source": [
    "### Download pressure level fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 17,
     "referenced_widgets": [
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      "6d5a830229a049babef7b6fed8b3da2a",
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      "16b342b766a840e7b2466add51d83e1a",
      "fb25c8b6d79446dc94c6b977a1b99572",
      "c5903fc789d54233a5250705b0267337",
      "d3be2aaf4f27438e82ce7433a865b9ba",
      "f8074f08f07c485c9de25abcc50c8456"
     ]
    },
    "executionInfo": {
     "elapsed": 131873,
     "status": "ok",
     "timestamp": 1733384822925,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "zDGmj1IELEtg",
    "outputId": "b9ce620d-1688-43f5-e510-09623e20d888"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                \r"
     ]
    }
   ],
   "source": [
    "fields.update(get_open_data(param=PARAM_PL, levelist=LEVELS))\n",
    "\n",
    "PRESSURE_NAMES = [f\"{p}_{lev}\" for p in PARAM_PL for lev in LEVELS]\n",
    "assert all(p in fields for p in PRESSURE_NAMES), \"Missing parameters: %s\" % (set(PRESSURE_NAMES) - set(fields.keys()))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. Apply data transformations"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "AIFS Single v2 expects the data to match the data it was trained on."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Transform the mean wave direction into sine and cosine components:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mwd = fields.pop(\"mwd\")\n",
    "mwd_rad = np.deg2rad(mwd)\n",
    "\n",
    "fields[\"cos_mwd\"] = np.cos(mwd_rad)\n",
    "fields[\"sin_mwd\"] = np.sin(mwd_rad)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rename soil fields:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapping = {'sot_1': 'stl1', 'sot_2': 'stl2',\n",
    "           'vsw_1': 'swvl1','vsw_2': 'swvl2'}\n",
    "for k,v in soil.items():\n",
    "    fields[mapping[k]]=v"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove unused specific humidity fields:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fields.pop(\"q_10\", None)  # Remove the 10hPa level for specific humidity, as it is not used in the model\n",
    "fields.pop(\"q_50\", None);  # Remove the 50hPa level for specific humidity, as it is not used as a prognostic in the model"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apply land-sea mask:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = np.equal(ekd.from_source(\"file\", 'lsm.grib')[0].to_numpy(flatten=True), 0)\n",
    "\n",
    "fields[\"sd\"][:, mask] = np.nan\n",
    "fields[\"swvl1\"][:, mask] = np.nan\n",
    "fields[\"swvl2\"][:,mask] = np.nan"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "UihlVXsbx2q0"
   },
   "source": [
    "Convert geopotential height into geopotential:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 206,
     "status": "ok",
     "timestamp": 1733384828222,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "H8D93y_5LEtg"
   },
   "outputs": [],
   "source": [
    "# Transform GH to Z\n",
    "for level in LEVELS:\n",
    "    gh = fields.pop(f\"gh_{level}\")\n",
    "    fields[f\"z_{level}\"] = gh * 9.80665"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "w570pN1gx6yS"
   },
   "source": [
    "# 7. Create initial forecast state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 187,
     "status": "ok",
     "timestamp": 1733384830787,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "PndCJ7JKLEtg"
   },
   "outputs": [],
   "source": [
    "input_state = dict(date=DATE, fields=fields)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "ceToC7Kuyddk"
   },
   "source": [
    "# 8. Load AIFS Single v2 model"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download the model checkpoint from Hugging Face"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 173,
     "referenced_widgets": [
      "50215614639344198a7b297ba05b75a0",
      "04d53ab404ea4571938fa1049296a322",
      "b7eaa9417e2144a3a91a4defa4883a28",
      "5d53b4f6d81c4d63a8f717cc4575d1f5",
      "d4a1986815394711bf612145074cfa7e",
      "bd4aa43801dd48c88a6354bbb0b80115",
      "32341120752344898e2932b6ce5f4dfb",
      "b0691e09b17944879def85aa0ed8397b",
      "b9543d271edf446aa4d0b1c4c61b62e7",
      "726b5cbb17504bbcbd8053b52208a72d",
      "c250ee19694e4b08855f1a851f4b44d0"
     ]
    },
    "executionInfo": {
     "elapsed": 25240,
     "status": "ok",
     "timestamp": 1733384899272,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "SlBKKvxxVVb0",
    "outputId": "451e1aeb-5667-41dd-b986-eff9b07c761c"
   },
   "outputs": [],
   "source": [
    "checkpoint = {\"huggingface\":\"ecmwf/aifs-single-2.0\"}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To reduce the memory usage of the model one can set certain environment variables, like the number of chunks of the model's mapper.\n",
    "Please refer to:\n",
    "- https://anemoi.readthedocs.io/projects/models/en/latest/modules/layers.html#anemoi-inference-num-chunks\n",
    "- https://pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf\n",
    "\n",
    "for more information. To do so, use the code below:\n",
    "```\n",
    "import os\n",
    "os.environ['PYTORCH_CUDA_ALLOC_CONF']='expandable_segments:True' \n",
    "os.environ['ANEMOI_INFERENCE_NUM_CHUNKS']='16'\n",
    "```"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a runner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 193,
     "status": "ok",
     "timestamp": 1733384905394,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "FAw6hansLEth"
   },
   "outputs": [],
   "source": [
    "runner = SimpleRunner(checkpoint)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note - changing the device from GPU to CPU**\n",
    "\n",
    "- Running the transformer model used on the CPU is tricky, it depends on the FlashAttention library which only supports Nvidia and AMD GPUs, and is optimised for performance and memory usage\n",
    "- In newer versions of anemoi-models, v0.4.2 and above, there is an option to switch off flash attention and uses Pytorchs Scaled Dot Product Attention (SDPA). The code snippet below shows how to overwrite a model from a checkpoint to use SDPA. Unfortunately it's not optimised for memory usage in the same way, leading to much greater memory usage. Please refer to https://github.com/ecmwf/anemoi-inference/issues/119 for more details "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "id": "OBk-UicWy2Q4"
   },
   "source": [
    "# 9. Run the model to generate a forecast"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The example below is a 12-hour forecast for demonstration purposes. Change the LEAD_TIME to modify the forecast length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 356
    },
    "executionInfo": {
     "elapsed": 13608,
     "status": "error",
     "timestamp": 1733385010138,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -60
    },
    "id": "23AGQecDLEth",
    "outputId": "0724dc11-a9ba-4cb5-a125-374f12ffa3d1"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Fetching 10 files: 100%|██████████| 10/10 [00:00<00:00, 4977.81it/s]\n",
      "Coupled forcings are not supported by this runner: ['lsm', 'sdor', 'slor', 'wmb', 'z']\n",
      "NaNs found in the following variables: ['cdww', 'cos_mwd', 'h1012', 'h1214', 'h1417', 'h1721', 'h2125', 'h2530', 'mwp', 'sd', 'sin_mwd', 'swh', 'swvl1', 'swvl2', 'wmb']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "😀 date=2026-04-23T12:00:00 latitudes=(542080,) longitudes=(542080,) fields=120\n",
      "\n",
      "    100u    shape=(542080,) min=-26.667        max=31.8393       \n",
      "    q_700   shape=(542080,) min=0              max=0.0108053     \n",
      "    t_925   shape=(542080,) min=233.925        max=310.293       \n",
      "    v_850   shape=(542080,) min=-37.5684       max=29.1458       \n",
      "    z_925   shape=(542080,) min=1529.04        max=9216.23       \n",
      "\n",
      "\n",
      "😀 date=2026-04-23T18:00:00 latitudes=(542080,) longitudes=(542080,) fields=120\n",
      "\n",
      "    100u    shape=(542080,) min=-27.0889       max=32.8942       \n",
      "    q_700   shape=(542080,) min=0              max=0.0105684     \n",
      "    t_925   shape=(542080,) min=234.285        max=310.524       \n",
      "    v_850   shape=(542080,) min=-39.2659       max=30.3254       \n",
      "    z_925   shape=(542080,) min=600.896        max=9244.63       \n",
      "\n"
     ]
    }
   ],
   "source": [
    "LEAD_TIME = 12\n",
    "\n",
    "states = []\n",
    "\n",
    "for state in runner.run(input_state=input_state, lead_time=LEAD_TIME):\n",
    "    states.append(state)\n",
    "    print_state(state)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Note\n",
    "Users should not expect this notebook to reproduce ECMWF operational AIFS forecasts exactly. This is due to two factors:\n",
    "\n",
    "#### 1. GPU non-determinism\n",
    "GPU operations are not always bitwise deterministic, meaning repeated runs can produce slightly different numerical results.\n",
    "\n",
    "To enforce determinism at GPU level, the following settings can be configured:\n",
    "\n",
    "```\n",
    "#First, in a terminal\n",
    "export CUBLAS_WORKSPACE_CONFIG=:4096:8\n",
    "\n",
    "#And then before running inference:\n",
    "import torch\n",
    "torch.backends.cudnn.benchmark = False\n",
    "torch.backends.cudnn.deterministic = True\n",
    "torch.use_deterministic_algorithms(True)\n",
    "\n",
    "```\n",
    "Please note that using the above approach to enable deterministic behaviour will **significantly** increase runtime. \n",
    "\n",
    "#### 2. Differences in input data reprojection \n",
    "The initial conditions used in this notebook are downloaded from ECMWF open data. The data is provided on a 0.25° latitude/longitude grid and reprojected to the N320 grid for use by the AIFS.\n",
    "\n",
    "In ECMWF's operational forecasting system, the initial conditions come directly from operational IFS analyses on the native o1280 grid and are reprojected directly to N320.\n",
    "\n",
    "These differing reprojection pathways can introduce small differences in the model input fields, which may lead to minor differences in the resulting forecasts."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 10. Optional: Inspect the forecast"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot a field (e.g. 100u)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To be able to run the plotting section below you need to install additional dependencies, or use the provided pyproject or lock files to install the dependencies in your environment.\n",
    "\n",
    "# !pip install -q matplotlib cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import matplotlib.tri as tri"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fix(lons):\n",
    "    # Shift the longitudes from 0-360 to -180-180\n",
    "    return np.where(lons > 180, lons - 360, lons)\n",
    "\n",
    "latitudes = state[\"latitudes\"]\n",
    "longitudes = state[\"longitudes\"]\n",
    "values = state[\"fields\"][\"100u\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 446
    },
    "id": "-5PkTWaFLEth",
    "outputId": "0fe9d1ff-14bc-42b6-91d7-0f3c24b3fc42"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(11, 6), subplot_kw={\"projection\": ccrs.PlateCarree()})\n",
    "ax.coastlines()\n",
    "ax.add_feature(cfeature.BORDERS, linestyle=\":\")\n",
    "\n",
    "triangulation = tri.Triangulation(fix(longitudes), latitudes)\n",
    "\n",
    "contour=ax.tricontourf(triangulation, values, levels=20, transform=ccrs.PlateCarree(), cmap=\"RdBu\")\n",
    "cbar = fig.colorbar(contour, ax=ax, orientation=\"vertical\", shrink=0.7, label=\"100u\")\n",
    "\n",
    "plt.title(\"100m winds (100u) at {}\".format(state[\"date\"]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": [
    {
     "file_id": "https://huggingface.co/ecmwf/aifs-single/blob/main/run_AIFS_v0_2_1.ipynb",
     "timestamp": 1733385064965
    }
   ],
   "toc_visible": true
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