These datasets provide global (excluding Antarctica) reconstructions of the GRACE-like terrestrial water storage anomalies (TWSA) from April 2002 to July 2021 with a spatial resolution of 1 degree. These reconstructed TWSAs were generated by a two-step linear model. The driving data include the ERA5-Land model-extracted precipitation and air temperature data, as well as the Noah model-simulated TWSA. The training period is from April 2002 to April 2013, and the testing period is from May 2013 to July 2021. ‘REC-JPL-M’ means the reconstructed TWSA based on the JPL mascon solution; ‘REC-JPL-SH’ means the reconstructed TWSA based on the JPL spherical harmonic solution
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
This dataset provides decadal changes in total terrestrial water storage (TWS) across global endorhe...
This research data is associated with the manuscript entitled "Long-term (1979-present) Total Water ...
The dataset consists of a 1979-present reconstruction of Terrestrial Water Storage (TWS) anomalies f...
Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, an...
The amount of water stored on continents is an important constraint for water mass and energy exchan...
[1] We assess the accuracy of global-gridded terrestrial water storage (TWS) estimates derived from ...
In this dataset, we provide terrestrial water storage anomalies (TWSA) from 2007-2017 at weekly time...
This datasets provide predictions of the terrestrial water storage anomalies (TWSAs) during the 11-m...
This dataset provides predictions of the GRACE-derived terrestrial water storage anomalies (TWSAs) t...
International audienceRecent developments in mascon (mass concentration) solutions for GRACE (Gravit...
A downscaling framework for coarse resolution Gravity Recovery and Climate Experiment (GRACE) Total ...
Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experi...
The dataset comprises GRACE-FO downscaled Total Water Storage Anomalies, at 0.1 degrees spatial reso...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
This dataset provides decadal changes in total terrestrial water storage (TWS) across global endorhe...
This research data is associated with the manuscript entitled "Long-term (1979-present) Total Water ...
The dataset consists of a 1979-present reconstruction of Terrestrial Water Storage (TWS) anomalies f...
Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, an...
The amount of water stored on continents is an important constraint for water mass and energy exchan...
[1] We assess the accuracy of global-gridded terrestrial water storage (TWS) estimates derived from ...
In this dataset, we provide terrestrial water storage anomalies (TWSA) from 2007-2017 at weekly time...
This datasets provide predictions of the terrestrial water storage anomalies (TWSAs) during the 11-m...
This dataset provides predictions of the GRACE-derived terrestrial water storage anomalies (TWSAs) t...
International audienceRecent developments in mascon (mass concentration) solutions for GRACE (Gravit...
A downscaling framework for coarse resolution Gravity Recovery and Climate Experiment (GRACE) Total ...
Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experi...
The dataset comprises GRACE-FO downscaled Total Water Storage Anomalies, at 0.1 degrees spatial reso...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
This dataset provides decadal changes in total terrestrial water storage (TWS) across global endorhe...