Researchers developed neural network observation operators within LDAS-Monde to directly assimilate SMAP and AMSR2 microwave brightness temperatures over global croplands.
Satellite gravimetry shows Saudi Arabia lost groundwater equal to roughly 4.3 × 10² cubic kilometers from 2002 to 2024, with ...
A vegetation-aware strategy combining L-, C- and X-band satellite soil-moisture data improved model accuracy by selecting observations according to canopy ...
A NASA-led study of the Missouri River Basin shows that swapping individual physics schemes in the Noah-MP land surface model ...
High on the Qinghai–Tibetan Plateau, where the headwaters of the Yellow, Yangtze, and Lancang Rivers wind through some of the ...
A new study modifies a widely used canopy radiation model so that forest stems and branches, long ignored as absorbers ...
Researchers have developed an iterative residual correction method that uses new soil profile data to significantly improve the accuracy and ...
A new scheme called T-REX introduces lateral exchange of water and heat between landscape tiles in the ICON-Land model, dramatically ...
A new satellite-based method using GRACE-constrained GLDAS-CLSM data provides the first globally consistent estimate of groundwater recharge, totaling about 16,081.5 ...
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