4.2.6. Access to Data in NetCDF format viewed as Zarr
Some datasets offered by the Open Data Portal are provided via references format as specified by the kerchunk package. This allows accessing to the original NetCDF data files with an I/O performance comparable to Zarr.
The data is available via store identifier ‘cci-kerchunk-store’.
This dataset was produced with funding of the ESA CCI+ Soil Moisture project; ESRIN Contract No: 4000126684/19/I-NB
contact :
cci_sm_contact@eodc.eu
creator_email :
cci_sm_developer@eodc.eu
creator_name :
Department of Geodesy and Geoinformation, Vienna University of Technology
creator_url :
https://climers.geo.tuwien.ac.at/
date_created :
File created: 2022-04-06 09:13:45.810237
geospatial_lat_max :
90.0
geospatial_lat_min :
-90.0
geospatial_lat_resolution :
0.25 degree
geospatial_lat_units :
degrees_north
geospatial_lon_max :
180.0
geospatial_lon_min :
-180.0
geospatial_lon_resolution :
0.25 degree
geospatial_lon_units :
degrees_east
geospatial_vertical_max :
0.0
geospatial_vertical_min :
0.0
history :
2022-04-06 09:12:42 - product produced
Kerchunk file created on 26/09/23
Kerchunk file last updated by CEDA on 03/10/23 in the context of the CCI Knowledge Exchange Project
Quality-controlled, super-collocated (L3S) Satellite Soil Moisture (SM) data from multiple sensors
product_version :
v07.1
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-soilmoisture-cci.org; Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017) ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001; Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., Dorigo, W. (2019) Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology. Earth System Science Data 11, 717-739, https://doi.org/10.5194/essd-11-717-2019; Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. https://doi.org/10.1109/TGRS.2017.2734070
This dataset was produced with funding of the ESA CCI+ Soil Moisture project; ESRIN Contract No: 4000126684/19/I-NB
contact :
cci_sm_contact@eodc.eu
creator_email :
cci_sm_developer@eodc.eu
creator_name :
Department of Geodesy and Geoinformation, Vienna University of Technology
creator_url :
https://climers.geo.tuwien.ac.at/
date_created :
File created: 2022-04-06 09:13:45.810237
geospatial_lat_max :
90.0
geospatial_lat_min :
-90.0
geospatial_lat_resolution :
0.25 degree
geospatial_lat_units :
degrees_north
geospatial_lon_max :
180.0
geospatial_lon_min :
-180.0
geospatial_lon_resolution :
0.25 degree
geospatial_lon_units :
degrees_east
geospatial_vertical_max :
0.0
geospatial_vertical_min :
0.0
history :
2022-04-06 09:12:42 - product produced
Kerchunk file created on 26/09/23
Kerchunk file last updated by CEDA on 03/10/23 in the context of the CCI Knowledge Exchange Project
Quality-controlled, super-collocated (L3S) Satellite Soil Moisture (SM) data from multiple sensors
product_version :
v07.1
project :
Climate Change Initiative - European Space Agency
references :
http://www.esa-soilmoisture-cci.org; Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017) ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001; Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., Dorigo, W. (2019) Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology. Earth System Science Data 11, 717-739, https://doi.org/10.5194/essd-11-717-2019; Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. https://doi.org/10.1109/TGRS.2017.2734070