{
 "about": "A warning service or a body's automatic forecast says what its warnings or forecasts are based on. Most services do not say which model stands behind a given warning: a forecaster decides. 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": "warns_from",
 "inverse": "informs_warning_by",
 "edges": [
  {
   "from": "svc-nhc",
   "to": "model-gfs",
   "source": "https://www.nhc.noaa.gov/modelsummary.shtml",
   "expect": [
    "GFS",
    "Global Forecast System"
   ],
   "read_utc": "2026-11-11T11:30Z",
   "http": 200,
   "sha256": "9c9d37ab146b336aa98f4bdfd70ceaee5bc414a20df61e7b836fda8cc203df09",
   "state": "stated",
   "quote": "tropical 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"
  },
  {
   "from": "svc-nhc",
   "to": "model-ecmwf-ifs",
   "source": "https://www.nhc.noaa.gov/modelsummary.shtml",
   "expect": [
    "ECMWF"
   ],
   "read_utc": "2026-11-11T11:30Z",
   "http": 200,
   "sha256": "9c9d37ab146b336aa98f4bdfd70ceaee5bc414a20df61e7b836fda8cc203df09",
   "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"
  },
  {
   "from": "svc-nhc",
   "to": "model-ukmo-um",
   "source": "https://www.nhc.noaa.gov/modelsummary.shtml",
   "expect": [
    "UKMET"
   ],
   "read_utc": "2026-11-11T11:30Z",
   "http": 200,
   "sha256": "9c9d37ab146b336aa98f4bdfd70ceaee5bc414a20df61e7b836fda8cc203df09",
   "state": "stated",
   "quote": "*UKM/UKMI/UKM2 U.K. Met Office Global Model Grid point (~10 km) 70 Hybrid Sigma-pressure 4D-VAR Ensemble Hybrid UKMET 12 hr (144 hr) 00/12 UTC Track, intensity, wind radii CMC/CMCI/CMC2 Canadian Deterministic Prediction System Grid point (~15 km) 80 Hybrid Sigma-pressure 4D-VAR Ensemble"
  },
  {
   "from": "svc-ipma-warnings",
   "to": null,
   "source": "https://www.ipma.pt/pt/enciclopedia/otempo/sam/index.html",
   "searched": [
    "AROME",
    "GFS",
    "ARPEGE",
    "modelo numérico",
    "modelos numéricos"
   ],
   "note": "IPMA's page on its warning system gives the criteria (thresholds by hazard and district) and not the models behind a warning.",
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "f13ea976aaacf105d84ff18c453b9a34719a6d81882e06447ca7f7547e88b85e",
   "state": "not stated"
  },
  {
   "from": "data-ipma-open",
   "to": "model-ecmwf-ifs",
   "source": "https://api.ipma.pt/",
   "expect": [
    "processamento estatístico das previsões de dois modelos numéricos (ECMWF e AROME)"
   ],
   "verb_note": "is computed from",
   "note": "IPMA's automatic forecasts in its open data: statistical processing of two models, updated twice a day (00 and 12 UTC runs). The automatic forecast, not the warnings.",
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "32e9d7337a162fc457a871499671d0a6b465cd6af7c06339ab186acd0e55ffcc",
   "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"
  },
  {
   "from": "data-ipma-open",
   "to": "model-arome",
   "source": "https://api.ipma.pt/",
   "expect": [
    "processamento estatístico das previsões de dois modelos numéricos (ECMWF e AROME)"
   ],
   "verb_note": "is computed from",
   "read_utc": "2026-11-11T11:28Z",
   "http": 200,
   "sha256": "32e9d7337a162fc457a871499671d0a6b465cd6af7c06339ab186acd0e55ffcc",
   "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"
  }
 ]
}