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• W3048872889 endingPage "125402" @default.
• W3048872889 startingPage "125402" @default.
• W3048872889 abstract "• An ET assimilation system (LPJ-SM A ) is proposed suitable for water-limited areas. • LPJ-SM A couples the LPJ-DGVM model with the PT-JPL SM scheme. • Microwave remote sensing soil data SMAP is used. • The application of SMAP data improves the accuracy of the coupled ET simulation. • The spatial results of LPJ-SM A has greatest similarity to NLDAS-2 ET product with continental-scale. An accurate estimation of evapotranspiration (ET) is essential for characterizing the water budget in arid and semiarid ecosystems. Although various soil moisture data have been used to improve the hydrological process modeling, only a few studies improved ET estimation at a global scale by utilizing satellite soil moisture active passive SMAP data, particularly targeting arid and semiarid areas. To address this issue, this paper proposes a process-based assimilation scheme (LPJ-SM A ) to simulate daily ET at 0.25° spatial resolution for the water limited areas. First, an integrated model (LPJ-PM) is constructed by the updated Priestley–Taylor Jet Propulsion Laboratory model (PT-JPL SM ) and the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM). As the PT-JPL SM model establishes a connection between soil moisture (SM) and ET, the SMAP data could be integrated into LPJ-PM. Second, with the estimated ET PM (3-day interval) in LPJ-PM as “observations”, the original ET LPJ (daily) estimated by LPJ-DGVM could be well constrained in a water-limited area through data assimilation. The results showed that: (1) the ET PM with SMAP information performed better and had a higher accuracy than ET LPJ . (2) After assimilating ET PM into LPJ-DGVM, the assimilated-ET (ET DA ) showed a superior performance (R = 0.75, RMSD = 0.72 mm/d) to ET LPJ (R = 0.55, RMSD = 1.02 mm/d) and ET PM (R = 0.70, RMSD = 0.93 mm/d) when evaluated against in situ observations at a 95% significance level. Our proposed assimilation system (LPJ-SM A ) was applied to arid and semiarid regions in the United States, and the results illustrate that the spatial distribution and annual value of the LPJ-SM A ET was very similar to NLDAS-2 ET products, which have a higher precision over North America than other global ‘reference’ products. The proposed LPJ-SM A system can be used to optimize model simulation performance and effectively improve ET prediction accuracy. This method can be used as an alternative to estimate global ET, especially in water-limited regions." @default.
• W3048872889 created "2020-08-18" @default.
• W3048872889 creator A5012108225 @default.
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• W3048872889 creator A5088975367 @default.
• W3048872889 date "2020-11-01" @default.
• W3048872889 modified "2023-10-12" @default.
• W3048872889 title "Improved ET assimilation through incorporating SMAP soil moisture observations using a coupled process model: A study of U.S. arid and semiarid regions" @default.
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• W3048872889 doi "https://doi.org/10.1016/j.jhydrol.2020.125402" @default.
• W3048872889 hasPublicationYear "2020" @default.
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