This project aims to evaluate satellite and model soil moisture products for Sweden.
Analyses include:
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Statistical evaluation against in-situ soil moisture data from ICOS network ecosystem stations
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Statistical evaluation against the ERA5-Land reanalysis dataset
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Triple collocation analysis
- Python scripts (documentation in progress)
- http://hsaf.meteoam.it/documents/H115_ASCAT_SSM_CDR_v5_PUM_v0.1.pdf
- ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km (H115)
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CCI Active
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CCI Passive
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CCI Combined
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https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land
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ERA5-Land, 0.1 degree resolution
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ERA5-Land 0.25 degree resolution
- https://search.earthdata.nasa.gov/search?projectId=8364534388
- GLDAS Noah Land Surface Model 3 hourly v2.1
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https://search.earthdata.nasa.gov/projects?projectId=6586843843
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SMAP L3 (SPL3SMP) https://nsidc.org/data/SPL3SMP
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SMAP L3 Enhanced (SPL3SMP_E) https://nsidc.org/data/SPL3SMP_E
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SMAP L4 (SPL4SMAU) https://nsidc.org/data/SPL4SMAU/versions/4
- https://land.copernicus.eu/global/products/ssm
- CGLOPS-1 SSM 1km v1 https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_PUM_SSM1km-V1_I1.30.pdf
- https://www.catds.fr/Products/Available-products-from-CEC-SM/SMOS-IC
- SMOS-IC L3 Soil Moisture ftp://ext-catds-cecsm:[email protected]/Land_products/L3_SMOS_IC_Soil_Moisture/ASC/
In addition to standard data analysis packages (e.g. pandas), the following packages are used to process and analyze data:
- pytesmo for traditional statistical evaluation and triple collocation analysis
- xarray for NetCDF reading, processing, and conversion
- xesmf for NetCDF regridding
Nina del Rosario - MSc student in GIS at Lund University
Supervised by Dr. Zheng Duan at Lund University