青藏高原CMIP6土壤湿度适用性评估

为了解第六次国际耦合模式比较计划(CMIP6)土壤湿度数据在青藏高原的适用性,利用全球陆面数据同化系统(GL-DAS)Noah模型输出的土壤湿度产品,对CMIP6 Historical试验的土壤湿度数据进行评估。结果表明:在青藏高原地区,CMIP6集合平均土壤湿度总体高于Noah产品,季节变化幅度明显小于Noah产品;各模式模拟的土壤湿度差异较大,在偏差、线性相关、标准差、场相关4个维度上,表现最好的模式分别为AWI-ESM-1-1-LR、NorESM2-MM、CanESM5、TaiESM1,而EC-Earth3、EC-Earth3-Veg和GFDL-CM4在两个维度上表现突出;综合考虑4个维度,AWI-ESM-1-1-LR等10个模式在高原适用性较好。

Applicability Evaluation of Soil Moisture from CMIP6 in Tibetan Plateau

In order to understand the applicability of the soil moisture data derived from Sixth International Coupling Model Comparison Program (CMIP6) in the Tibetan Plateau, the soil moisture products from Global Land Data Assimilation System (GLDAS) Noah model were used to evaluate the soil moisture data of the CMIP6 Historical experiment. The results show that the ensemble mean soil moisture of CMIP6 is generally higher than that of Noah products while the seasonal variation is significantly smaller than that of Noah products in the Tibetan Plateau. The soil moisture simulated by each model is quite different. Evaluated from the four dimensions of deviation, linear correlation, standard deviation, and field correlation, the best performing models are AWI-ESM-1-1-LR, NorESM2-MM, CanESM5, TaiESM1,while EC-Earth3, EC-Earth3-Veg and GFDL-CM4 performed outstandingly in the evaluation of two dimensions. Consideraing four dimensions, ten models such as AWI-ESM-1-1-LR have better applicability in the plateau.