  We describe the new global land water storage data set GLWS2.0, which
contains total water storage anomalies (TWSA) over the global land except for
Greenland and Antarctica with a spatial resolution of 0.5{\deg}, covering the
time frame 2003 to 2019 without gaps, and including uncertainty quantification.
GLWS2.0 was derived by assimilating monthly GRACE/-FO mass change maps into the
WaterGAP global hydrology model via the Ensemble Kalman filter, taking data and
model uncertainty into account. TWSA in GLWS2.0 is then accumulated over
several hydrological storage variables. In this article, we describe the
methods and data sets that went into GLWS2.0, how it compares to GRACE/-FO data
in terms of representing TWSA trends, seasonal signals, and extremes, as well
as its validation via comparing to GNSS-derived vertical loading and its
comparison 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 at
short-term, seasonal, and long-term temporal bands. While some differences
exist, overall GLWS2.0 agrees quite well with CLSM-DA in terms of TWSA trends
and annual amplitudes and phases.
