ERA5_daily_index
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ERA5_daily_index.yaml")
ds=cat.netcdf.read()Metadata
| title | ERA5_daily_index |
| location | /reanalysis/land/ERA5/daily |
| tags | global,reanalysis,index |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ERA5_daily_index.yaml |
| last updated | 2021-10-22 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 534, lon: 1280)
Coordinates:
* lon (lon) float64 0.0 0.2812 0.5625 0.8438 ... 358.9 359.2 359.4 359.7
* lat (lat) float64 -60.0 -59.72 -59.44 -59.16 ... 89.23 89.51 89.78
Data variables:
index (lat, lon) float64 ...xarray.Dataset
- lat: 534
- lon: 1280
- lon(lon)float640.0 0.2812 0.5625 ... 359.4 359.7
- units :
- degrees_east
- long_name :
- Longitude
array([0.000000e+00, 2.812500e-01, 5.625000e-01, ..., 3.591562e+02, 3.594375e+02, 3.597188e+02]) - lat(lat)float64-60.0 -59.72 -59.44 ... 89.51 89.78
- units :
- degrees_north
- long_name :
- Latitude
array([-59.99997 , -59.71894 , -59.43791 , ..., 89.225883, 89.506203, 89.784877])
- index(lat, lon)float64...
[683520 values with dtype=float64]