Evaluating the simulation of cold season rainfall proportions over the Tibetan Plateau using different parameterization schemes
Abstract
This study evaluates the performance of three parameterization schemes in simulating cold-season rainfall proportions, using the Global
Land Data Assimilation System (GLDAS) data as a reference. The GLDAS data reveal significant spatial variability, with rainfall dominating
in the southeastern Plateau and snowfall prevalent in the western and northern regions. The Jordan and BATS schemes exhibit widespread
underestimation of rainfall, particularly in central and southeastern regions, where temperatures are near freezing. The FRZ scheme, while
generally performing better, shows overestimation in colder, high-altitude areas. All three schemes struggle with phase transitions in marginal
temperature zones, where the balance between rain and snow is most sensitive. The study highlights the need for refining temperature thresholds to improve phase-aware precipitation simulations in this region.
Keywords
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DOI: http://dx.doi.org/10.18686/ag.v8i3.13476
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