Thu Oct 08, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Fei, Wenli, Zheng, Hui, Lin, Peirong, Yang, Zong–Liang, Lei, Xiangyong, Li, Kai, Wang, Anzhi, Wu, Jiabing, Shen, Lidu, Liu, Yage, Zhang, Yuan, and Li, Rongping, 2026. Assimilating GRACE Data for Improved Modeling of the Terrestrial Hydrological Cycle and Its Response to ENSO With the Noah–MP Multi–Physics Ensemble. Journal of Geophysical Research (Atmospheres), 131(16):e2026JD046517, doi:10.1029/2026JD046517.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JGRD..13146517F,
author = {{Fei}, Wenli and {Zheng}, Hui and {Lin}, Peirong and {Yang}, Zong--Liang and {Lei}, Xiangyong and {Li}, Kai and {Wang}, Anzhi and {Wu}, Jiabing and {Shen}, Lidu and {Liu}, Yage and {Zhang}, Yuan and {Li}, Rongping},
title = "{Assimilating GRACE Data for Improved Modeling of the Terrestrial Hydrological Cycle and Its Response to ENSO With the Noah-MP Multi-Physics Ensemble}",
journal = {Journal of Geophysical Research (Atmospheres)},
keywords = {data assimilation, terrestrial hydrological simulation, Noah--Multiparameterization land surface model, Data Assimilation Research Testbed, Gravity Recovery and Climate Experiment, El Ni{\~n}o--Southern Oscillation},
year = 2026,
month = aug,
volume = {131},
number = {16},
eid = {e2026JD046517},
pages = {e2026JD046517},
abstract = "{Assimilating the Gravity Recovery and Climate Experiment (GRACE)
terrestrial water storage (TWS) has been proven a promising
approach to improving terrestrial hydrological simulation, but
its impact under different climatic regimes and on hydrological
responses to important climatic oscillations (i.e., El Ni{\~n}o
--Southern Oscillation (ENSO)) remains unclear. This study
constructed a land surface data assimilation (DA) system based
on a multi--physics ensemble constructed by the Noah--
Multiparameterization land surface model (Noah--MP) and the Data
Assimilation Research Testbed over the southern contiguous
United States (CONUS). The system features a set of high--skill
and low--interdependence parameterization configurations as the
assimilation ensemble, based on which the daily--scale GRACE TWS
was assimilated using the Ensemble Adjustment Kalman Filter.
Results show that DA enhances the performance of TWS anomaly in
the southeastern/south--central CONUS, the Rocky Mountains, the
Sierra Nevada, and the Pacific Northwest. For soil moisture, DA
offers more skill gains in the deep layer than in the surface
layer. For snow water equivalent, DA improves the performance in
the northeastern/central CONUS and the western mountains, but
offers limited gains in the southern CONUS, where the snow cover
is shallow and seasonal. DA improves the runoff simulations in
arid and semi--arid regions where Noah--MP performs poorly, but
slightly degrades the performance in humid regions where Noah--
MP performs well. DA also improves the fidelity of runoff--ENSO
linkages in semi--arid and arid regions by eliminating spurious
correlations. Our findings confirm the effectiveness of GRACE DA
in reducing hydrological simulation uncertainties and
demonstrate its potential for improving water management
planning under climatic oscillations.}",
doi = {10.1029/2026JD046517},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JGRD..13146517F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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