Assimilating GRACE into a land surface model in the presence of an irrigation‐induced groundwater trend
Assimilating terrestrial water storage observations from the Gravity Recovery and Climate
Experiment (GRACE) mission into land surface models (LSMs) provides an opportunity to
disaggregate and downscale GRACE information to finer scales and improve water
component estimates in LSMs. However, the performance of GRACE data assimilation
(GRACE‐DA) is limited by the lack of representation of human activities in most LSMs. To
simultaneously improve GRACE‐DA and reduce the uncertainties in the modeled …
Experiment (GRACE) mission into land surface models (LSMs) provides an opportunity to
disaggregate and downscale GRACE information to finer scales and improve water
component estimates in LSMs. However, the performance of GRACE data assimilation
(GRACE‐DA) is limited by the lack of representation of human activities in most LSMs. To
simultaneously improve GRACE‐DA and reduce the uncertainties in the modeled …
Assimilating GRACE into a land surface model in the presence of an irrigation-induced groundwater trend.
NWS Nie WanShu, BF Zaitchik, M Rodell, SV Kumar… - 2019 - cabidigitallibrary.org
Assimilating terrestrial water storage observations from the Gravity Recovery and Climate
Experiment (GRACE) mission into land surface models (LSMs) provides an opportunity to
disaggregate and downscale GRACE information to finer scales and improve water
component estimates in LSMs. However, the performance of GRACE data assimilation
(GRACE-DA) is limited by the lack of representation of human activities in most LSMs. To
simultaneously improve GRACE-DA and reduce the uncertainties in the modeled …
Experiment (GRACE) mission into land surface models (LSMs) provides an opportunity to
disaggregate and downscale GRACE information to finer scales and improve water
component estimates in LSMs. However, the performance of GRACE data assimilation
(GRACE-DA) is limited by the lack of representation of human activities in most LSMs. To
simultaneously improve GRACE-DA and reduce the uncertainties in the modeled …