- Description:
Historical wind field dataset for the Balloon Learning Environment.
4D wind fields, where the dimensions are latitude, longitude, altitude, and time. Each entry contains two float values (u and v) which indicate the wind direction and magnitude at the specified location, altitude, and time.
Acknowledgements:
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J-N. (2017): Complete ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS). (Accessed on 01-04-2021)
Homepage: https://github.com/google/balloon-learning-environment
Source code:
tfds.datasets.ble_wind_field.BuilderVersions:
1.0.0(default): Initial release.
Download size:
Unknown sizeFeature structure:
FeaturesDict({
'field': Tensor(shape=(21, 21, 10, 9, 2), dtype=float32),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| FeaturesDict | ||||
| field | Tensor | (21, 21, 10, 9, 2) | float32 |
Supervised keys (See
as_superviseddoc):NoneFigure (tfds.show_examples): Not supported.
Citation:
@software{ble2021,
author = {Greaves, Joshua and Candido, Salvatore and Dumoulin, Vincent and Goroshin, Ross and Ponda, Sameera S. and Bellemare, Marc G. and Castro, Pablo Samuel},
month = {12},
title = { {Balloon Learning Environment} },
url = {https://github.com/google/balloon-learning-environment},
version = {1.0.0},
year = {2021}
}
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A.,
Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G.,
Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M.,
Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L.,
Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P.,
Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F.,
Villaume, S., Thépaut, J-N. (2017): Complete ERA5: Fifth generation of ECMWF
atmospheric reanalyses of the global climate. Copernicus Climate Change Service
(C3S) Data Store (CDS). (Accessed on 01-04-2021)
ble_wind_field/full (default config)
Config description: The entire historical wind field dataset.
Dataset size:
79.53 GiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
290,000 |
- Examples (tfds.as_dataframe):
ble_wind_field/small
Config description: Small sample of 256 fields from the dataset.
Dataset size:
71.91 MiBAuto-cached (documentation): Yes
Splits:
| Split | Examples |
|---|---|
'train' |
256 |
- Examples (tfds.as_dataframe):