{
 "id": "model-ecmwf-ifs",
 "type": "model",
 "name": "ECMWF IFS",
 "also": [],
 "summary": "The Integrated Forecasting System: ECMWF's global physics-based model (high-resolution and ensemble forecasts, four runs a day).",
 "url": "https://www.ecmwf.int/en/forecasts/documentation-and-support",
 "label": "fact",
 "edges": [
  {
   "verb": "assimilates",
   "to": "obs-meteosat",
   "source": "https://www.ecmwf.int/en/about/media-centre/focus/2020/fact-sheet-earth-system-data-assimilation",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "stations, aircraft, radiosondes, ships or buoys. Other observations are based on remote sensing, for example from satellites or ground-based radar. Most satellite instruments measure electromagnetic radiation emitted from the Earth’s surface and the atmosphere. The signals received"
  },
  {
   "verb": "assimilates",
   "to": "obs-metop",
   "source": "https://www.ecmwf.int/en/about/media-centre/focus/2020/fact-sheet-earth-system-data-assimilation",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "stations, aircraft, radiosondes, ships or buoys. Other observations are based on remote sensing, for example from satellites or ground-based radar. Most satellite instruments measure electromagnetic radiation emitted from the Earth’s surface and the atmosphere. The signals received"
  },
  {
   "verb": "assimilates",
   "to": "obs-radiosondes",
   "source": "https://www.ecmwf.int/en/about/media-centre/focus/2020/fact-sheet-earth-system-data-assimilation",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "at the location of the instrument. Such in-situ measurements come for example from weather stations, aircraft, radiosondes, ships or buoys. Other observations are based on remote sensing, for example from satellites or ground-based radar. Most satellite instruments measure electromagnetic"
  },
  {
   "verb": "assimilates",
   "to": "obs-aircraft",
   "source": "https://www.ecmwf.int/en/about/media-centre/focus/2020/fact-sheet-earth-system-data-assimilation",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "conditions at the location of the instrument. Such in-situ measurements come for example from weather stations, aircraft, radiosondes, ships or buoys. Other observations are based on remote sensing, for example from satellites or ground-based radar. Most satellite instruments measure"
  },
  {
   "verb": "assimilates",
   "to": "obs-buoys-ships",
   "source": "https://www.ecmwf.int/en/about/media-centre/focus/2020/fact-sheet-earth-system-data-assimilation",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "location of the instrument. Such in-situ measurements come for example from weather stations, aircraft, radiosondes, ships or buoys. Other observations are based on remote sensing, for example from satellites or ground-based radar. Most satellite instruments measure electromagnetic radiation"
  },
  {
   "verb": "assimilates",
   "to": "obs-surface-stations",
   "source": "https://www.ecmwf.int/en/about/media-centre/focus/2020/fact-sheet-earth-system-data-assimilation",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "observations reflect conditions at the location of the instrument. Such in-situ measurements come for example from weather stations, aircraft, radiosondes, ships or buoys. Other observations are based on remote sensing, for example from satellites or ground-based radar. Most satellite"
  },
  {
   "verb": "assimilated_by",
   "to": "model-ecmwf-aifs",
   "source": "https://huggingface.co/ecmwf/aifs-single-1.0",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "neural network (GNN) encoder and decoder, and a sliding window transformer processor, and is trained on ECMWF’s ERA5 re-analysis and ECMWF’s operational numerical weather prediction (NWP) analyses. It has a flexible and modular design and supports several levels of parallelism to enable"
  },
  {
   "verb": "assimilated_by",
   "to": "model-ecmwf-ens",
   "source": "https://www.ecmwf.int/en/forecasts/datasets/open-data",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "are published at two resolutions: the existing 0.25 degrees and, from 20 October 2026, a finer 0.1 degrees - both produced from the same IFS model and interpolated to a lat/long grid. The lower resolution data are released at the end of the real-time dissemination schedule , while"
  },
  {
   "verb": "published_by",
   "to": "data-ecmwf-open",
   "source": "https://www.ecmwf.int/en/forecasts/datasets/open-data",
   "read_utc": "2026-11-11T11:28Z",
   "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"
  },
  {
   "verb": "published_by",
   "to": "data-metno-api",
   "source": "https://docs.api.met.no/doc/locationforecast/datamodel",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "forecasts are updated once every hour. For medium range forecasts (2–10 days) the 51 member ensemble forecast from ECMWF is used. It it updated twice pr day. Horizontal resolution is approximately 9 km. Air temperature, precipitation and wind speed are further post-processed to better"
  },
  {
   "verb": "redistributed_by",
   "to": "data-open-meteo",
   "source": "https://open-meteo.com/en/docs/ecmwf-api",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "ECMWF Forecast API | Open-Meteo.com Open-Meteo Home Features Pricing API Docs Animations GitHub X Toggle theme ECMWF Weather Forecast API Full Resolution 1-hourly IFS HRES"
  },
  {
   "verb": "run_by",
   "to": "body-ecmwf",
   "source": "https://www.ecmwf.int/en/forecasts/datasets/open-data",
   "read_utc": "2026-11-11T11:28Z",
   "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"
  },
  {
   "verb": "visualised_by",
   "to": "site-windy",
   "source": "https://community.windy.com/topic/12/what-source-of-weather-data-windy-use",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "different weather models. Below is a brief overview of all models which you can find on Windy . Global models: ECMWF (European Centre for Medium-Range Weather Forecasts) is sometimes informally known in the USA as the \"European model\". More info available at www.ecmwf.com Resolution"
  },
  {
   "verb": "visualised_by",
   "to": "site-ventusky",
   "source": "https://www.ventusky.com/about",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "Radar Satellite Wind speed Wind gusts Clouds Air pressure CAPE Snow cover Humidity Sea Air quality Wind Animation ECMWF, GFS, ICON, GEM Two New High-Resolution Weather Models on Ventusky About us About us Data sources Help Contact The Ventusky web application has been developed for you"
  },
  {
   "verb": "visualised_by",
   "to": "site-wetterzentrale",
   "source": "https://www.wetterzentrale.de/en/default.php",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "Home page wetterzentrale.de Toggle navigation Top Karten Global models GFS ECMWF UKMO GEM ICON ARPEGE NAVGEM JMA Regional models WRF ICON D2 HARMONIE AROME ALARO IRIE Data-driven models AIFS AIGFS GraphCastGEM Other 9-panel Multi Model Bodenkarten/Fax"
  },
  {
   "verb": "visualised_by",
   "to": "site-tropicaltidbits",
   "source": "https://www.tropicaltidbits.com/analysis/models/",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "and HiresW mesoscale models , replacing them with RRFS and the REFS Ensemble GFS Run Time: 06Z Nov 11 Global ECMWF EC-AIFS GFS AIGFS CMC ICON JMA Ensemble EPS AIFS-ENS GEFS GEPS Hurricane HWRF PENA 04C CEMPAKA 31W THREE 03S HWRF Parent PENA 04C CEMPAKA 31W THREE 03S HMON PENA 04C"
  },
  {
   "verb": "visualised_by",
   "to": "site-ecmwf",
   "source": "https://charts.ecmwf.int/",
   "read_utc": "2026-11-11T11:29Z",
   "state": "stated",
   "quote": "ECMWF | Charts Home About Forecasts Computing Learning Publications ECMWF logo Charts Help Support Opencharts news Log in Dashboard Log out Charts You need to enable JavaScript"
  },
  {
   "verb": "visualised_by",
   "to": "site-meteopt",
   "source": "https://www.meteopt.com/",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated",
   "quote": "MeteoPT.com Comunidade de Meteorologia Português Español English menu_home menu_forum menu_models menu_global GFS ECMWF AIGFS ECMWF-AIFS UKMO ICON ARPÈGE menu_comparator menu_ensemble GEFS ECMWF ENS menu_observation menu_temp menu_sat menu_sst menu_climate menu_misc Temperaturas atuais"
  },
  {
   "verb": "visualised_by",
   "to": "site-ipma",
   "source": "https://www.ipma.pt/pt/otempo/prev.numerica/",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated",
   "quote": "Açores - Oriental Arq. Açores - Central Arq. Açores - Ocidental URL fixo Utilidades Altera caixas de selecao Selecione Modelo: -- MODELO -- ECMWF ECMWF [FRONTAL] Selecione Campo: -- CAMPO -- Geopotencial/Vento Pressao NMM/Precipitação/Vento Pressao NMM/Vento Temperatura topo das"
  },
  {
   "verb": "visualised_by",
   "to": "site-wunderground",
   "source": "https://www.wunderground.com/about/data",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated",
   "quote": "Pressure Temperature Cloud Cover Humidity Chance of Precipitation Dew Point Forecast input A variety of inputs, including, but not limited to, ECMWF, GFS, and NAM Mostly NAM and GFS Sky Conditions Uses radar and satellite data to determine current state of sky conditions Reports from"
  },
  {
   "verb": "visualised_by",
   "to": "site-meteireann",
   "source": "https://www.met.ie/",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated",
   "quote": "previous hour (accumulations), then in 3 hourly and finally 6 hourly accumulations up to 7 days. This service is based on data and products of the HARMONIE-AROME and the European Centre for Medium-range Weather Forecasts (ECMWF) models. The wind is direct model output from Numerical"
  },
  {
   "verb": "visualised_by",
   "to": "site-sc-observador-live",
   "source": "https://observador.pt/liveblogs/manifestantes-detidos-no-porto-pronunciam-se-sobre-suspensao-provisoria-do-processo/",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated"
  },
  {
   "verb": "visualised_by",
   "to": "site-sc-lusometeo",
   "source": "https://lusometeo.com/atualidade/tempestade-charles-mais-fraca-32997/",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated"
  },
  {
   "verb": "visualised_by",
   "to": "site-sc-euronews",
   "source": "https://www.euronews.com/2026/11/10/portugal-on-alert-as-storms-bruna-and-charles-raise-sting-jet-risk-of-160-kmh-winds",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated"
  },
  {
   "verb": "informs_warning_by",
   "to": "svc-nhc",
   "source": "https://www.nhc.noaa.gov/modelsummary.shtml",
   "read_utc": "2026-11-11T11:30Z",
   "state": "stated",
   "quote": "cyclone (TC) along based on the prevailing flow obtained from a separate dynamical model (either the GFS or the ECMWF). Super Intelligence/Machine Learning (SI/ML) models are trained on reanalysis outputs from dynamical models, as well as other datasets, to reproduce predicted atmospheric"
  },
  {
   "verb": "informs_warning_by",
   "to": "data-ipma-open",
   "source": "https://api.ipma.pt/",
   "read_utc": "2026-11-11T11:28Z",
   "state": "stated",
   "quote": "(cidades) e localização dos eventos sísmicos, no JSON. Os dados de previsão são obtidos automaticamente através de processamento estatístico das previsões de dois modelos numéricos (ECMWF e AROME), sendo atualizados duas vezes por dia, nomeadamente a corrida das 00UTC (disponibilizada"
  }
 ],
 "licences": [
  "lic-ecmwf-open"
 ],
 "by": "incident.meteorology@web-summit.dinis",
 "updated": "2026-11-11T11:36Z"
}