首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula
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Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula

机译:比较来自SMOS任务和ORCHIDEE陆地表面模型的伊比利亚半岛上的土壤水分

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The aim of this study is to compare the surface soil moisture (SSM) retrieved from ESA's Soil Moisture and Ocean Salinity mission (SMOS) with the output of the ORCHIDEE (ORganising Carbon and Hydrology In Dynamic EcosystEm) land surface model forced with two distinct atmospheric data sets for the period 2010 to 2012. The comparison methodology is first established over the REMEDHUS (Red de Estaciones de MEDicion de la Humedad def Suelo) soil moisture measurement network, a 30 by 40 km catchment located in the central part of the Duero basin, then extended to the whole Iberian Peninsula (IP). The temporal correlation between the in-situ, remotely sensed and modelled SSM are satisfactory (r>0.8). The correlation between remotely sensed and modelled SSM also holds when computed over the IP. Still, by using spectral analysis techniques, important disagreements in the effective inertia of the corresponding moisture reservoir are found. This is reflected in the spatial correlation over the IP between SMOS and ORCHIDEE SSM estimates, which is poor (p similar to 0.3). A single value decomposition (SVD) analysis of rainfall and SSM shows that the co-varying patterns of these variables are in reasonable agreement between both products. Moreover the first three SVD soil moisture patterns explain over 80% of the SSM variance simulated by the model while the explained fraction is only 52% of the remotely sensed values. These results suggest that the rainfall-driven soil moisture variability may not account for the poor spatial correlation between SMOS and ORCHIDEE products. (C) 2015 The Authors. Published by Elsevier Inc.
机译:这项研究的目的是比较从欧空局的土壤水分和海洋盐度任务(SMOS)检索到的地表土壤水分(SSM)与在两个不同大气强迫下的ORCHIDEE(动态生态系统中的碳和水文学)地表模型的输出。数据集为2010年至2012年期间。首先在REMEDHUS(Red de Estaciones de MEDicion de la Humedad def Suelo)土壤水分测量网络上建立了比较方法,该网络位于杜罗盆地中部一个30 x 40 km的流域,然后扩展到整个伊比利亚半岛(IP)。原位,遥感和建模的SSM之间的时间相关性令人满意(r> 0.8)。通过IP计算时,遥感SSM和建模SSM之间的相关性也成立。尽管如此,通过使用频谱分析技术,仍发现相应储水层的有效惯性存在重要分歧。这反映在SMOS和ORCHIDEE SSM估计之间IP上的空间相关性上,这很差(p类似于0.3)。降雨和SSM的单值分解(SVD)分析表明,这些变量的共变模式在两种产品之间都具有合理的一致性。此外,前三个SVD土壤湿度模式解释了该模型模拟的SSM方差的80%以上,而解释的分数仅为遥感值的52%。这些结果表明,降雨驱动的土壤水分变异性可能无法解释SMOS和ORCHIDEE产品之间的空间相关性差。 (C)2015作者。由Elsevier Inc.发布

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