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Dataset Card for ERA5 climate dataset
This dataset is for reproducing ClimODE results, which aims to model the climate efficiently with physics-inspired neural networks. It contains a 2004-2018 subset of the weatherbench data at 5.625deg granularity.
Made with :heart: from by students at USI.
Dataset Details
Dataset Sources [optional]
- Repository: https://dataserv.ub.tum.de/index.php/s/m1524895
- Paper https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels
Uses
Climate modeling and prediction
Direct Use
This dataset is used as a supporting resource in Climode-reproducibility repository, which aims to reproduce and validate the original paper authors' claims.
You can download the dataset like so:
from huggingface_hub import snapshot_download
if __name__ == '__main__':
snapshot_download(repo_id="TornikeO/era5-5.625deg",
repo_type='dataset',
local_dir='climode/ClimODE/era5_data',
allow_patterns="*")
Dataset Structure
The dataset is a set of .nc files. These can be read as follows:
import xarray as xr
# Download the dataset from TornikeO/era5-5.625deg
data = xr.open_mfdataset(
'era5-5.625deg/geopotential_500/*.nc',
combine='by_coords')
data = data.resample(time="6H").nearest(tolerance="1H") # Setting data to be 6-hour cycles
data_global = data.sel(time=slice('2006','2018')).load() # select subset only
Dataset Creation
Source Data
This dataset was generated by downloading WeatherBench data
Data Collection and Processing
Dataset was downloaded and processed using python, with a simple , using automated python download script.
Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Dataset Card Authors [optional]
The Sole author is Tornike Onoprishvili.
Dataset Card Contact
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