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Lingxi Xie
2023-02-26 22:50:20 +08:00
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@@ -57,9 +57,9 @@ These models are stored using the ONNX format, and thus can be used via differen
Please prepare the input data using [numpy](https://numpy.org/). There are two files that shall be put under the `input_data` folder, namely, `input_surface.npy` and `input_upper.npy`.
`input_surface.npy` stores the input surface variables. It is a numpy array shaped (4,721,1440) where the first dimension represents the 4 surface variables (MSLP, U10, V10, T2M *in the exact order*).
`input_surface.npy` stores the input surface variables. It is a numpy array shaped (4,721,1440) where the first dimension represents the 4 surface variables (MSLP, U10, V10, T2M **in the exact order**).
`input_upper.npy` stores the upper-air variables. It is a numpy array shaped (5,13,721,1440) where the first dimension represents the 5 surface variables (Z, Q, T, U and V *in the exact order*), and the second dimension represents the 13 pressure levels (1000hPa, 925hPa, 850hPa, 700hPa, 600hPa, 500hPa, 400hPa, 300hPa, 250hPa, 200hPa, 150hPa, 100hPa and 50hPa *in the exact order*).
`input_upper.npy` stores the upper-air variables. It is a numpy array shaped (5,13,721,1440) where the first dimension represents the 5 surface variables (Z, Q, T, U and V **in the exact order**), and the second dimension represents the 13 pressure levels (1000hPa, 925hPa, 850hPa, 700hPa, 600hPa, 500hPa, 400hPa, 300hPa, 250hPa, 200hPa, 150hPa, 100hPa and 50hPa **in the exact order**).
In both cases, the dimensions of 721 and 1440 represent the size along the latitude and longitude, where the numerical range is [90,-90] degree and [0,359.75] degree, respectively, and the spacing is 0.25 degrees. For each 721x1440 slice, the data format is exactly the same as the `.nc` file download from the ERA5 official website.
@@ -94,9 +94,9 @@ Note that one needs to download about 60TB of ERA5 data and prepare for computat
## License
Pangu-Weather is released under the MIT license.
Pangu-Weather is released by Huawei Cloud. **The commercial use of these models is forbidden.**
Also, please note that all models were trained using the ERA5 dataset provided by ECMWF. Please do follow their policy and note that commercial use of these models is forbidden.
Also, please note that all models were trained using the ERA5 dataset provided by ECMWF. Please do follow [their policy](https://apps.ecmwf.int/datasets/licences/copernicus/).
## References