Evaluating the performance of parameterization schemes in simulating warm-season snowfall proportions over the Tibetan Plateau
Abstract
between temperature, altitude, and monsoonal influences. This study evaluates the performance of three parameterization schemes in simulating snowfall during the warm season (April to September), using Global Land Data Assimilation System (GLDAS) data as the observational
reference. The GLDAS data indicate significant spatial variability, with the highest snowfall proportions occurring in the western and northern regions, while the southeastern regions experience predominantly rainfall. The Jordan and BATS schemes consistently overestimated
snowfall proportions, particularly in the central and southern regions of the Plateau. The FRZ scheme performed better overall, with lower
biases, especially in marginal temperature zones, but still showed moderate overestimation in southern areas. This study highlights the need
for topographic influences to enhance the accuracy of phase-aware precipitation simulations during the warm season.
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DOI: http://dx.doi.org/10.18686/ag.v8i3.13477
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