PrompTugal.newsStorm CharlesUpdated 12:02 UTCNew here?v0.1.1024Repo
Not a warning service. Follow IPMA, ANEPC and your local authorities. We aggregate public sources, each with its source and the time we read it.

Open data and APIs

stated on the page: raw.githubusercontent.comis trained onGraphCast (Google DeepMind)Modelsstated on the page: raw.githubusercontent.comis trained onPangu-Weather (Huawei)Modelsstated on the page: raw.githubusercontent.comis trained onAurora (Microsoft)Modelsstated on the page: cds.climate.copernicus.eupublishesECMWFBodiesERA5 (Copernicus Climate Change Ser…Open data and APIs

Left: what points at it. Right: what it points at. Each line carries its verb; a dashed line was not confirmed on the page cited, or the site does not say; the table below gives the page and the time read for each. From data-era5.json

Where a forecast comes from · Open data and APIs · id data-era5 · as data

ECMWF's reanalysis of the global weather since 1940, produced for the EU's Copernicus programme: the training set of most machine-learned models.

Address: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels (leaves this site)

What it is connected to, and who says so

ThisVerbThatThe page that says soReadCheck
ERA5 (Copernicus Climate Change Service)is what GraphCast (Google DeepMind) is trained onGraphCast (Google DeepMind)raw.githubusercontent.com: "the per-model READMEs for model-specific code. ### Training Data Full model training requires downloading the [ERA5] (link) dataset from [ECMWF] (link) best accessed as Zarr via [WeatherBench2] (link)"11:28 UTC, 11 Novstated on the page
ERA5 (Copernicus Climate Change Service)is what Pangu-Weather (Huawei) is trained onPangu-Weather (Huawei)raw.githubusercontent.com: "0.25 degrees. For each 721x1440 slice, the data format is exactly the same as the .nc file download from the ERA5 official website. Note that the numpy arrays should be in single precision (.astype(np.float32)), not "11:28 UTC, 11 Novstated on the page
ERA5 (Copernicus Climate Change Service)is what Aurora (Microsoft) is trained onAurora (Microsoft)raw.githubusercontent.com: "examples.] (link) You can also directly go to [a full-fledged example that runs the model on ERA5] (link) Cite us as follows: ``` @article{bodnar2025aurora, title = {A Foundation Model for the Earth System}, author ="11:28 UTC, 11 Novstated on the page
ERA5 (Copernicus Climate Change Service)published byECMWFcds.climate.copernicus.eu: "ERA5 hourly data on single levels from 1940 to present Login - Register Web portal menu Climate Data Store User menu Datasets User guide Applications Forum Live status Login"11:29 UTC, 11 Novstated on the page

Licence: what we may do with it

Copernicus Climate Change Service (ERA5): CC BY 4.0 (stated on the data set's page) (cds.climate.copernicus.eu, read 11:29 UTC, 11 Nov, stated on the page).

ReadStoreShowTransformAttribution
yes, with a free accountyesyes, with attributionyes, with attribution"Contains modified Copernicus Climate Change Service information [year]".

A reanalysis: it lags real time by about five days, so it will show Charles only afterwards.

What it offers for Lisbon and Madeira this week

The best consistent record of what the weather was, hourly, at 0.25°: for comparing Charles with earlier storms afterwards.

  • Endpoint: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels
  • Key: a free account and key
  • Format: GRIB or NetCDF through the CDS API
  • Size: about 1 MB per variable per day for a small box
  • Cadence: daily, about five days behind real time
  • This week (probe read 02:29 UTC, 11 Nov): Not available for 10 to 12 November until about 16 November.

Not a warning service: this page explains where data comes from. For warnings follow IPMA and ANEPC.