Supporting data and scripts for the study "A satellite-based assessment of ERA5 soil moisture and land surface temperature interannual co-variability"

Supporting data and scripts for the study "A satellite-based assessment of ERA5 soil moisture and land surface temperature interannual co-variability" https://doi.org/10.1088/1748-9326/ae3789 1. Data 1.1 ERA5.zip : ERA5 data processed from data extracted from C3S data store 10.24381/cds.adbb2d47ERA5/skt-cs : contains 1 file per month with ERA5 monthly mean diurnal cycle of skin temperature in clear sky conditions (total cloud cover < 0.3)ERA5/swvl1: contains 1 file per month with ERA5 monthly mean top layer soil moisture 1.2 C3SSSM.zip: C3S Surface soil moisture: raw data extracted from C3S data store v202312 10.24381/cds.d7782f18Contains 1 file per month with monthly mean organized in folders for data based on active, passive, combined retrievals. 1.3 LSASAF.zip: LSA SAF data data processed from:MLST: Raw data from https://datalsasaf.lsasvcs.ipma.pt/PRODUCTS/MSG/MLST/, contains 1 file per month with monthly mean diurnal cycle of LSTMTFVC: Raw data from https://datalsasaf.lsasvcs.ipma.pt/PRODUCTS/MSG/MTFVC/, contains 1 file per month with Monthly mean fraction of vegetation cover 1.4: Auxiliary datalsa_ea.nc : ERA5 land sea maskvza.nc : MSG view zenith angle 2. scripts.zipThe folder “scripts” contains several python scripts (python 3 loading general packages (numpy, xarray, matplotlib, cartopy, etc..) used for the diagnostics calculations and plots. Intermediate data is also available on the folder “results” saved as compressed numpy *npz Disclaimer: The data and scripts are available to support reproducibility and open-research. The use of the scripts require manual editing to define/select which variables/diagnostics to compute and plot. For any question contact the corresponding author: Emanuel Dutra: [e-mail]