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Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations

机译:使用原位和卫星观测值在美国连续的CMIP5模拟中评估土壤湿度

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This study provides a comprehensive evaluation of soil moisture simulations in the Coupled Model Intercomparison Project Phase 5 (CMIP5) extended historical experiment (2003 to 2012). Soil moisture from in situ and satellite sources is used to evaluate CMIP5 simulations in the contiguous United States (CONUS). Both near-surface (0–10?cm) and soil column (0–100?cm) simulations from more than 14 CMIP5 models are evaluated during the warm season (April–September). Multimodel ensemble means and the performance of individual models are assessed at a monthly timescale. Our results indicate that CMIP5 models can reproduce the seasonal variability in soil moisture over CONUS. However, the models tend to overestimate the amount of both near-surface and soil column soil moisture in the western US and underestimate it in the eastern US. There are large variations across models, especially for the near-surface soil moisture. There are significant regional variations in performance as well. Results of a regional analysis show that in the deeper soil layers, the CMIP5 soil moisture simulations tend to be most skillful in the southern US. Based on both the satellite-derived and in situ soil moisture, CESM1, CCSM4 and GFDL-ESM2M perform best in the 0–10?cm soil layer and CESM1, CCSM4, GFDL-ESM2M and HadGEM2-ES perform best in the 0–100?cm soil layer.
机译:这项研究在耦合模型比较项目第5阶段(CMIP5)扩展历史实验(2003年至2012年)中提供了土壤水分模拟的综合评估。来自原地和卫星源的土壤水分用于评估美国(CONUS)附近的CMIP5模拟。在温暖的季节(4月至9月),对来自14个以上CMIP5模型的近地表(0–10?cm)和土柱(0–100?cm)的模拟进行了评估。多模型集成方法和各个模型的性能以每月的时间尺度进行评估。我们的结果表明,CMIP5模型可以重现CONUS上土壤水分的季节性变化。但是,这些模型倾向于高估美国西部的近地表土壤和土壤柱的土壤水分,而低估美国东部的水平。各个模型之间存在很大差异,尤其是对于近地表土壤湿度。绩效也存在很大的地区差异。区域分析的结果表明,在较深的土壤层中,CMIP5土壤湿度模拟在美国南部往往最为熟练。基于卫星和原地土壤水分,CESM1,CCSM4和GFDL-ESM2M在0–10?cm土层中表现最佳,CESM1,CCSM4,GFDL-ESM2M和HadGEM2-ES在0–100土层中表现最好厘米土层。

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