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首页> 外文期刊>Hydrology and Earth System Sciences Discussions >Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula
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Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula

机译:伊比利亚半岛陆上模具和H-TESEL模型与模型中的SMOS测量亮度温度的比较

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L-band radiometry is considered to be one of the most suitable techniques to estimate surface soil moisture (SSM) by means of remote sensing. Brightness temperatures are key in this process, as they are the main input in the retrieval algorithm which yields SSM estimates. The work exposed compares brightness temperatures measured by the SMOS mission to two different sets of modelled ones, over the Iberian Peninsula from 2010 to 2012. The two modelled sets were estimated using a radiative transfer model and state variables from two land-surface models: (i)?ORCHIDEE and (ii)?H-TESSEL. The radiative transfer model used is the CMEM. Measured and modelled brightness temperatures show a good agreement in their temporal evolution, but their spatial structures are not consistent. An empirical orthogonal function analysis of the brightness temperature's error identifies a dominant structure over the south-west of the Iberian Peninsula which evolves during the year and is maximum in autumn and winter. Hypotheses concerning forcing-induced biases and assumptions made in the radiative transfer model are analysed to explain this inconsistency, but no candidate is found to be responsible for the weak spatial correlations at the moment. Further hypotheses are proposed and will be explored in a forthcoming paper. The analysis of spatial inconsistencies between modelled and measured TBs is important, as these can affect the estimation of geophysical variables and TB assimilation in operational models, as well as result in misleading validation studies.
机译:L波段辐射测定被认为是通过遥感估计表面土壤水分(SSM)的最合适的技术之一。亮度温度在该过程中是关键,因为它们是检索算法中的主要输入,其产生SSM估计。从2010年到2012年,揭露了SMOS任务到两组不同的模型模型中的SMOS任务测量的亮度温度。使用来自两个陆地模型的辐射转移模型和状态变量,估计了两个建模集的模型集:( i)?兰田和(ii)?h-tessel。使用的辐射转移模型是CMEM。测量和建模的亮度温度在其时间演变中表现出良好的一致性,但它们的空间结构并不一致。亮度温度误差的经验正交函数分析识别了伊比利亚半岛西南部的主导结构,在这一年中发展,秋季和冬季最大。分析关于辐射转移模型中的强制偏置和假设的假设,以解释这种不一致,但没有发现候选人在此时对弱空间相关性负责。提出了进一步的假设,并将在即将到来的纸张中探讨。模型和测量TBS之间的空间不一致的分析很重要,因为这些可能会影响运营模型中地球物理变量和结核病同化的估计,结果在误导性验证研究中。

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