Gap-filled Multivariate Observations of Global Land-climate Interactions

The NETCDF encompasses monthly time series spans the years 1995-2020 globally at 0.5-degree resolution with gap-free estimates of nine variables, gap-filled using the CLIMFILL (CLIMate data gapFILL) framework [1,2] The nine variables are: - surface layer soil moisture from the Climate Change Initiative (CCI) of the European Space Agency (ESA), - land surface temperature and - diurnal temperature range from the Moderate Resolution Imaging Spectroradiometer (MODIS), - precipitation from the Global Precipitation Measurement (GPM), - terrestrial water storage from the Gravity Recovery and Climate Experiment (GRACE), - ESA-CCI burned area, - ESA-CCI snow cover fraction, - two-meter temperature and precipitation from the Climate Research Unit (CRU). Note: this dataset is only validated and tested for the use cases in the accompanying study (DOI to come). Please have caution using the data for analysis that might include trends in high latitude, in regions where the variable has high fraction of missing values, or in mountainous regions. References: [1] Bessenbacher, V., Seneviratne, S.I. and Gudmundsson, L. (2022): CLIMFILL v0.9: a framework for intelligently gap filling Earth observations. Geosci. Model Dev., 15, 4569–4596, 2022 https://doi.org/10.5194/gmd-15-4569-2022 [2] https://github.com/climachine/climfill/releases/tag/1.0