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首页> 外文期刊>Geophysical Research Letters >Use of Satellite Soil Moisture to Diagnose Climate Model Representations of European Soil Moisture-Air Temperature Coupling Strength
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Use of Satellite Soil Moisture to Diagnose Climate Model Representations of European Soil Moisture-Air Temperature Coupling Strength

机译:卫星土壤水分诊断欧洲土壤水分空气温度耦合强度的气候模型表示

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摘要

Soil moisture-air temperature coupling (SMTC) strength affects European summer air temperature variability. However, due to a lack of spatially extensive ground-based soil moisture observations, General Circulation Model predictions of European-mean SMTC strength have not been adequately verified and contain substantial uncertainties. Here we utilize remotely sensed soil moisture to evaluate estimates of SMTC strength provided by seven Coupled Model Intercomparison Project Phase 5 (CMIP5) General Circulation Models (GCMs). Soil moisture retrievals provided by the Soil Moisture Active/Passive (SMAP) mission are shown to be uniquely suited for this purpose. Comparisons to SMAP-based estimates suggest that CMIP5 GCMs generally underestimate SMTC strengths-particularly in central Europe. This result is consistent with previous modeling work and highlights the value of L-band soil moisture remote sensing for land surface-atmosphere coupling analyses.
机译:土壤湿气温度耦合(SMTC)强度影响欧洲夏季空气温度变化。 然而,由于缺乏空间广泛的地面土壤湿度观察,欧洲平均SMTC强度的一般循环模型预测尚未得到充分验证并含有实质性的不确定性。 在这里,我们利用远程感测的土壤湿度来评估由七种耦合模型相互循环项目5(CMIP5)一般循环模型(GCMS)提供的SMTC强度的估计。 土壤水分检索由土壤水分提供活性/被动(SMAP)任务被证明是独特适用于此目的的。 基于SMAP的估计的比较表明CMIP5 GCM通常低估SMTC优势 - 特别是在中欧。 该结果与先前的建模工作一致,并突出了L频段土壤水分遥感对陆地气氛耦合分析的价值。

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