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We describe the new global land water storage data set GLWS2.0, whichcontains total water storage anomalies (TWSA) over the global land except forGreenland and Antarctica with a spatial resolution of 0.5{\deg}, covering thetime frame 2003 to 2019 without gaps, and including uncertainty quantification.GLWS2.0 was derived by assimilating monthly GRACE/-FO mass change maps into theWaterGAP global hydrology model via the Ensemble Kalman filter, taking data andmodel uncertainty into account. TWSA in GLWS2.0 is then accumulated overseveral hydrological storage variables. In this article, we describe themethods and data sets that went into GLWS2.0, how it compares to GRACE/-FO datain terms of representing TWSA trends, seasonal signals, and extremes, as wellas its validation via comparing to GNSS-derived vertical loading and itscomparison with the NASA Catchment Land Surface Model GRACE Data Assimilation(CLSM-DA). We find that, in the global average over more than 1000 stations,GLWS2.0 fits better than GRACE/-FO to GNSS observations of vertical loading atshort-term, seasonal, and long-term temporal bands. While some differencesexist, overall GLWS2.0 agrees quite well with CLSM-DA in terms of TWSA trendsand annual amplitudes and phases.

The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model