This concise notebook demonstrates how xcubes data stores provide convenient access to the published data cubes, generated by the Cube Gen team and persisted on object storage. The recipes used in the generation process are publicly available at in the Cube Gen repository.
from xcube.core.store import new_data_store
store = new_data_store("s3", root="deep-esdl-public", storage_options=dict(anon=True))
store.list_data_ids()
ERA5 hourly data on single levels from 1959 to present
date_modified :
2022-11-04 15:41:36.233472
description :
ERA5 Reanalysis Products
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.875
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.875
geospatial_lon_min :
-179.875
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Mean Air Temperature at 2 m
original_add_offset :
0.0
original_name :
t2m
original_scale_factor :
1.0
processing_steps :
['Merging nc files', 'Resampling by daily mean', 'Converting to °C from K', 'Resampling by 8-day mean', 'Resampling to 0.25 degrees using bilinear interpolation']
ERA5 hourly data on single levels from 1959 to present
date_modified :
2022-11-04 15:41:36.233472
description :
ERA5 Reanalysis Products
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.875
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.875
geospatial_lon_min :
-179.875
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Evaporation
original_add_offset :
0.0
original_name :
e
original_scale_factor :
1.0
processing_steps :
['Merging nc files', 'Resampling by daily sum', 'Converting to mm from m', 'Resampling by 8-day mean', 'Resampling to 0.25 degrees using bilinear interpolation']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Kernel Normalized Difference Vegetation Index
original_add_offset :
0.0
original_name :
kNDVI
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
ERA5 hourly data on single levels from 1959 to present
date_modified :
2022-11-04 15:41:36.233472
description :
ERA5 Reanalysis Products
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.875
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.875
geospatial_lon_min :
-179.875
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Maximum Air Temperature at 2 m
original_add_offset :
0.0
original_name :
t2m_max
original_scale_factor :
1.0
processing_steps :
['Merging nc files', 'Resampling by daily max', 'Converting to °C from K', 'Resampling by 8-day max', 'Resampling to 0.25 degrees using bilinear interpolation']
ERA5 hourly data on single levels from 1959 to present
date_modified :
2022-11-04 15:41:36.233472
description :
ERA5 Reanalysis Products
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.875
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.875
geospatial_lon_min :
-179.875
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Minimum Air Temperature at 2 m
original_add_offset :
0.0
original_name :
t2m_min
original_scale_factor :
1.0
processing_steps :
['Merging nc files', 'Resampling by daily min', 'Converting to °C from K', 'Resampling by 8-day min', 'Resampling to 0.25 degrees using bilinear interpolation']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 3 (blue)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band3
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 4 (green)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band4
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 2 (NIR)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band2
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 1 (red)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band1
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 5 (SWIR1)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band5
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 6 (SWIR2)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band6
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Nadir BRDF Adjusted Reflectance of Band 7 (SWIR3)
original_add_offset :
0.0
original_name :
Nadir_Reflectance_Band7
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Normalized Difference Vegetation Index
original_add_offset :
0.0
original_name :
NDVI
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Reflectance Daily L3 Global 0.05 Deg CMG and Vegetation Indices
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.87499999998977
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.87500000008183
geospatial_lon_min :
-179.87499999999997
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Near Infrared Reflectance of Vegetation
original_add_offset :
0.0
original_name :
NIRv
original_scale_factor :
1.0
processing_steps :
['Merging hdf files', 'Computing NDVI, NIRv, and kNDVI', 'resampling by 8-day mean', 'Downsampling to 0.25 deg with mean', 'Interpolating NA with linear interpolation', 'Masking water using GLEAM as reference']
ERA5 hourly data on single levels from 1959 to present
date_modified :
2022-11-04 15:41:36.233472
description :
ERA5 Reanalysis Products
geospatial_lat_max :
89.875
geospatial_lat_min :
-89.875
geospatial_lat_resolution :
0.25
geospatial_lon_max :
179.875
geospatial_lon_min :
-179.875
geospatial_lon_resolution :
0.25
license :
Terms and conditions of the DeepESDL data distribution
long_name :
Total Precipitation
original_add_offset :
0.0
original_name :
tp
original_scale_factor :
1.0
processing_steps :
['Merging nc files', 'Resampling by daily sum', 'Converting to mm from m', 'Resampling by 8-day mean', 'Resampling to 0.25 degrees using bilinear interpolation']
.levels are xcube Multi-Resolution Datasets which store different resolutions of a dataset as a pyramid for fast visualisation e.g. in xcube viewer.
If you see in an s3 store a dataset name with both extesions, zarr and levels, then the zarr dataset is the base layer with the higehst resolution and used in the .levels as a link.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
time_coverage_duration :
P1Y
time_coverage_end :
20101231
time_coverage_resolution :
P1Y
time_coverage_start :
20100101
title :
Land Cover Map of ESA CCI brokered by CDS
tracking_id :
96ac9aca-1ca7-45c6-b4a5-ab448c692646
type :
ESACCI-LC-L4-LCCS-Map-300m-P1Y
Get a dataset at a certain level to continue analysis with it.
NASA Global Change Master Directory (GCMD) Science Keywords
license :
ESA CCI Data Policy: free and open access
naming_authority :
org.esa-cci
product_version :
2.0.7cds
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-landcover-cci.org/
source :
MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution :
300m
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Standard Names version 21
summary :
This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
