内蒙古高原多源雪深数据集适用性评估OACHSSCD

Snow is a key geophysical variable in the water cycle in winter and spring.The current gridded snow depth datasets have great uncertainty in the Inner Mongolia Plateau,and its applicability needs to be studied urgently.Based on daily snow depth data observed from 119 national weather stations in the Inner Mongolian Plateau from 2016 to 2025,using indicators such as time series correlation,unbiased mean square root error,and Kling-Gupta efficiency coefficient(KGE),the accuracy and applicability of European Fifth Generation Reanalysis(ERA5),European Fifth Generation Land Reanalysis(ERA5 Land),Global Land Assimilation System NOAH(GLDAS-NOAH),Global Land Assimilation System CLSM(GLDAS-CLSM),and Global Assimilation System(GDAS)snow depth datasets were evaluated in the Inner Mongolian Plateau.The results reveal:1)The five snow depth datasets had different applicability in the Inner Mongolian Plateau and its three sub-regions.CLSM had the best applicability in the Inner Mongolian Plateau and the eastern region,ERA5Land had the best applicability in the central region,and ERA5 had the best applicability in the western region.2)The five snow depth datasets had different spatial and temporal distributions,but all could reproduce the spatial distribution of snow depth in the eastern and western regions of Inner Mongolian Plateau.ERA5,ERA5Land,and CLSM datasets were relatively good at simulating the snow depth in most parts of the Inner Mongolian Plateau.NOAH and GDAS overestimated the snow depth for most periods.3)The CLSM with the best applicability in the eastern region of the Inner Mongolian Plateau performed poorly in monitoring extreme snowstorm event with snow depth greater than 40cm,but the ERA5 dataset which assimilated multi-source snow observations performed relatively well,while the other four datasets had limited monitoring capacity for snow depth greater than 40 cm.In conclusion,none of the datasets performed the best in the Inner Mongolian Plateau and its three sub-regions.Although the CLSM had the best applicability in the eastern region,it performed less well than ERA5 in extreme snowstorm event with snow depth greater than 40cm,and the applicability of each snow depth dataset in the western region was worse than its applicability in other regions.