{
 "about": "A body runs a forecast model. Every edge: the page that says so (`source`), when we read it (`read_utc`), whether the phrases we looked for were on it (`state`), a short quote. Stamped by tools/meteorology-read.mjs.",
 "by": "incident.meteorology@web-summit.dinis",
 "updated": "2026-11-11T11:35Z",
 "verb": "runs",
 "inverse": "run_by",
 "edges": [
  {
   "from": "body-ecmwf",
   "to": "model-ecmwf-ifs",
   "source": "https://www.ecmwf.int/en/forecasts/datasets/open-data",
   "expect": [
    "IFS",
    "ECMWF"
   ],
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "85d2592ad1fd7c023d9645e9b5c13e65b8facc25079b463529b0a66d5d579f10",
   "state": "stated",
   "quote": "Use Browse the data files Licence: description View licence A subset of ECMWF real-time forecast data from the IFS and AIFS models is made available to the public free of charge. Their use is governed by the Creative Commons CC-BY-4.0 licence and the ECMWF Terms of Use . This means"
  },
  {
   "from": "body-ecmwf",
   "to": "model-ecmwf-aifs",
   "source": "https://www.ecmwf.int/en/forecasts/datasets/open-data",
   "expect": [
    "AIFS"
   ],
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "85d2592ad1fd7c023d9645e9b5c13e65b8facc25079b463529b0a66d5d579f10",
   "state": "stated",
   "quote": "Browse the data files Licence: description View licence A subset of ECMWF real-time forecast data from the IFS and AIFS models is made available to the public free of charge. Their use is governed by the Creative Commons CC-BY-4.0 licence and the ECMWF Terms of Use . This means that the"
  },
  {
   "from": "body-noaa",
   "to": "model-gfs",
   "source": "https://www.emc.ncep.noaa.gov/emc/pages/numerical_forecast_systems/gfs.php",
   "expect": [
    "Global Forecast System"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "cb097b0f6f7b6933025f3cd7cbcd6886693a06f2c5f118e95cba64523ab1c85b",
   "state": "stated",
   "quote": "22, 2021: Implementation of GFS Version 16 in the NCEP Production Suite: GFS v16 Official Evaluation Page The Global Forecast System (GFS) is the cornerstone of NCEP's suite of numerical guidance, providing global atmospheric and wave predictions at 13 km resolution. The GFS is used"
  },
  {
   "from": "body-dwd",
   "to": "model-icon",
   "source": "https://www.dwd.de/EN/research/weatherforecasting/num_modelling/01_num_weather_prediction_modells/icon_description.html",
   "expect": [
    "ICON",
    "DWD"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "01568d4533caea2c0a94507e139a8d1c7367c395e205df685ec8c6da86eb76a1",
   "state": "stated",
   "quote": "Wetter und Klima - Deutscher Wetterdienst - Numerical weather prediction models - ICON (Icosahedral Nonhydrostatic) Model Content Main Menu Search MetaNavigation Main- Menue Press Con­tact De zur Suche Special Users Special Users Agriculture & Forestry"
  },
  {
   "from": "body-meteofrance",
   "to": "model-arpege",
   "source": "https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=130&id_rubrique=51",
   "expect": [
    "ARPEGE",
    "Météo-France"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "95e70b94311d184fa20bcc66bb5a49376becc59a4a0466c2722ce6684e167ca9",
   "state": "stated",
   "quote": "Données Publiques de Météo-France - Données de modèle ARPEGE --> --> Aller au contenu principal Météo France Météo Outremer Guadeloupe & Iles du Nord Martinique Guyane La Réunion Mayotte Nouvelle-Calédonie Polynésie française"
  },
  {
   "from": "body-meteofrance",
   "to": "model-arome",
   "source": "https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=131&id_rubrique=51",
   "expect": [
    "Données de modèle AROME",
    "Météo-France"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "9799fa857584cb3c8a1e42df8a95c285ea2bcaa6b6b0a5b3f6cd08f7e7af81fb",
   "state": "stated",
   "quote": "Données Publiques de Météo-France - Données de modèle AROME --> --> Aller au contenu principal Météo France Météo Outremer Guadeloupe & Iles du Nord Martinique Guyane La Réunion Mayotte Nouvelle-Calédonie Polynésie"
  },
  {
   "from": "body-aemet",
   "to": "model-harmonie-arome",
   "source": "https://www.aemet.es/en/eltiempo/prediccion/modelosnumericos/harmonie_arome",
   "expect": [
    "HARMONIE-AROME"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "051644c11976d22b7bc8100a0aca7193f21a4d2151b0280bb5ec64ddadf6e083",
   "state": "stated",
   "quote": "Weather. Modelos Num�ricos. HARMONIE-AROME en �reas de Pen�nsula y Baleares y Canarias. - State Meteorological Agency - AEMET - Spanish Government --> Aceptar cookies Informaci�n sobre uso de cookies"
  },
  {
   "from": "body-metoffice",
   "to": "model-ukmo-um",
   "source": "https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model/weather-forecasting",
   "expect": [
    "Unified Model",
    "global"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "11abf4475ced689de3967f4fc8385903b459378ded93ae1f30548835587036d6",
   "state": "stated",
   "quote": "Regional model evaluation and development Library Numerical weather prediction models The Met Office uses the Unified Model as part of several operational Numerical Weather Prediction (NWP) systems to support the production of its weather forecasts. Global and UK NWP configurations"
  },
  {
   "from": "body-metno",
   "to": "model-meps",
   "source": "https://docs.api.met.no/doc/locationforecast/datamodel",
   "expect": [
    "MEPS"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "a75d4cd37fd811dd6b0d0c5b9bb38646ef90a6c0537a6108543f2f93c0daf67e",
   "state": "stated",
   "quote": "meteorologists. Nordic area The weather forecasting model for the Nordic area is the MetCoOp Ensemble Prediction System ( MEPS ). MetCoOp is the Meteorological Cooperation on Operational Numeric Weather Prediction (NWP) between Finnish Meteorological Institute (FMI), MET Norway, Swedish Meteorologic"
  },
  {
   "from": "body-ipma",
   "to": "model-arome",
   "source": "https://www.ipma.pt/pt/enciclopedia/otempo/previsao.numerica/index.html",
   "expect": [
    "AROME",
    "2.5 km"
   ],
   "note": "IPMA's own page: the operational version of the limited-area model AROME, 2.5 km; products also derived from ECMWF's global model.",
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "d1c570229c974532fb99acf75c22821584d78f485e8915803e2872320633b48f",
   "state": "stated",
   "quote": "principais produtos resultante desta área de atividade no IPMA é a versão operacional do modelo de área limitada AROME, o qual possui uma resolução horizontal de 2.5 km. Têm sido desenvolvidos vários produtos derivados deste modelo, bem como do modelo global do ECMWF, sendo efetuada"
  },
  {
   "from": "body-google-deepmind",
   "to": "model-graphcast",
   "source": "https://raw.githubusercontent.com/google-deepmind/graphcast/main/README.md",
   "expect": [
    "GraphCast"
   ],
   "verb_note": "published",
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "9f0879fac17bda69b021bb8239241e488b91943d7c813c8727253ff9847853b1",
   "state": "stated",
   "quote": "forecasting model developed by Google DeepMind and Google Research. It also contains code for prior generation models [GraphCast](https://deepmind.google/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/) and [GenCast](https://deepmind.google/blog/gencast-predicts-weat"
  },
  {
   "from": "body-huawei",
   "to": "model-pangu",
   "source": "https://raw.githubusercontent.com/198808xc/Pangu-Weather/main/README.md",
   "expect": [
    "Pangu-Weather"
   ],
   "verb_note": "published",
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "b21aeee735b3196efd1334fc7f34caa0a5fb1e549d06d7ae3738db7b237a19a1",
   "state": "stated",
   "quote": "## Pangu-Weather This is the official repository for the Pangu-Weather papers. [Accurate medium-range global weather forecasting with 3D neural networks](https://www.nature.com/articles/s41586-023-06185-3),"
  },
  {
   "from": "body-microsoft",
   "to": "model-aurora",
   "source": "https://raw.githubusercontent.com/microsoft/aurora/main/README.md",
   "expect": [
    "Aurora",
    "Microsoft"
   ],
   "verb_note": "published",
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "73535361d411738555fba1054f88e97aed8a746b6174391e0feb11db08c04c92",
   "state": "stated",
   "quote": "# Aurora: A Foundation Model for the Earth System [![CI](https://github.com/microsoft/Aurora/actions/workflows/ci.yaml/badge.svg)](https://github.com/microsoft/Aurora/actions/workflows/ci.yaml)"
  },
  {
   "from": "body-ecmwf",
   "to": "model-ecmwf-ens",
   "source": "https://www.ecmwf.int/en/forecasts/datasets/open-data",
   "expect": [
    "high-resolution and ensemble"
   ],
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "85d2592ad1fd7c023d9645e9b5c13e65b8facc25079b463529b0a66d5d579f10",
   "state": "stated",
   "quote": "These products are a subset of the full Catalogue of ECMWF Real-time Products and are based on the medium-range ( high-resolution and ensemble ) and seasonal forecast models. IFS data are published at two resolutions: the existing 0.25 degrees and, from 20 October 2026, a finer 0.1 degrees"
  },
  {
   "from": "body-noaa",
   "to": "model-gefs",
   "source": "https://www.emc.ncep.noaa.gov/emc/pages/numerical_forecast_systems/gefs.php",
   "expect": [
    "Global Ensemble Forecast System (GEFS)"
   ],
   "read_utc": "2026-11-11T11:29Z",
   "http": 200,
   "sha256": "915bbad82e0e0ff69ba2a7bae2c0d8ce30e7b0c8c297bc102e0c04e207d7e04d",
   "state": "stated",
   "quote": "People Resources Visit Our Collaborative Space via VLAB Help Share --> Export --> Global Ensemble Forecast System Global Ensemble Forecast System (GEFS) --> To illustrate the use of ensemble based probabilistic forecast, the relative measure of predictability (RMOP, Toth et al. 2003),"
  }
 ]
}