- 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.Builder
Versions:
1.0.0
(default): Initial release.
Download size:
Unknown size
Feature 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_supervised
doc):None
Figure (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 GiB
Auto-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 MiB
Auto-cached (documentation): Yes
Splits:
Split | Examples |
---|---|
'train' |
256 |
- Examples (tfds.as_dataframe):