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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.

Models

stated on the page: raw.githubusercontent.compublishedHuawei CloudBodiesstated on the page: raw.githubusercontent.comis trained onERA5 (Copernicus Climate Change Ser…Open data and APIsPangu-Weather (Huawei)Models

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 model-pangu.json

Where a forecast comes from · Models · id model-pangu · as data

A machine-learned global model published with its trained weights for non-commercial use.

Address: https://github.com/198808xc/Pangu-Weather (leaves this site)

What it is connected to, and who says so

ThisVerbThatThe page that says soReadCheck
Pangu-Weather (Huawei)is trained onERA5 (Copernicus Climate Change Service)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
Pangu-Weather (Huawei)is what Huawei Cloud publishedHuawei Cloudraw.githubusercontent.com: "## Pangu-Weather This is the official repository for the Pangu-Weather papers. [Accurate medium-range global weather forecasting with 3D neural networks] (link)"11:28 UTC, 11 Novstated on the page

Licence: what we may do with it

Pangu-Weather (Huawei Cloud): CC BY-NC-SA 4.0 for the trained parameters (raw.githubusercontent.com, read 11:28 UTC, 11 Nov, stated on the page).

ReadStoreShowTransformAttribution
yesyesyes, non-commercial, with attributionyes, non-commercial, shared alikeHuawei Cloud, with the paper cited.

Commercial use forbidden. Its outputs depend on ERA5 or ECMWF initial fields.


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