Representations of human activities and their multifaceted impacts are urgently needed to improve the model performance.
The Noah land surface model with multi-parameterization options (Noah-MP) simulates the major spatiotemporal patterns of hydrological variables in China, a vast country characterized by complex terrain and large river basins across a wide range of climates.
"This is an important test of this state-of-the-art land surface model," says Prof. YANG Zongliang, from the Jackson School of Geosciences, the University of Texas at Austin, when he introduces his recent work published in the latest issue of Advances in Atmospheric Sciences. The lead author is LIANG Jingjing, a Ph.D. candidate from the Institute of Atmospheric Physics of the Chinese Academy of Sciences, under the supervision of Prof. YANG.
"By comparing the model simulations with multi-source observations, Noah-MP generally reproduces the overall spatiotemporal patterns of runoff and evapotranspiration over six major river basins, with the annual correlation coefficients and the Nash–Sutcliffe model efficiency coefficient performing relatively well," says LIANG.
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