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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Error Characterization of Coupled Land Surface-Radiative Transfer Models for Snow Microwave Radiance Assimilation
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Error Characterization of Coupled Land Surface-Radiative Transfer Models for Snow Microwave Radiance Assimilation

机译：雪微波辐射同化的地面辐射耦合耦合模型的误差特征

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摘要

Snow microwave radiance assimilation (RA) or brightness temperature data assimilation (DA) has shown promise for improving snow water equivalent (SWE) estimation. A successful RA study requires, however, an analysis of the error characteristics of coupled land surface-radiative transfer models (LSM/RTMs). This paper focuses on the Community Land Model version 4 (CLM4) as the land-surface model and on the microwave emission model for layered snowpacks (MEMLS) and the dense media radiative transfer multilayer (DMRT-ML) model as RTMs. Using the National Aeronautics and Space Administration Cold Land Processes Field Experiment (CLPX) data sets and through synthetic experiments, the errors of the coupled CLM4/DMRT-ML and CLM4/MEMLS are characterized by: 1) evaluating the CLM4 snowpack state simulations; 2) assessing the performance of RTMs in simulating the brightness temperature ; and 3) analyzing the correlations between the SWE error and the error from the RA perspective. The results using the CLPX data sets show that, given a large error of the snow grain radius under dry snowpack conditions (along with a small error of the snow temperature ), the correlations between and are mainly determined by the relationship between
机译：雪微波辐射同化（RA）或亮度温度数据同化（DA）已显示出有望改善雪水当量（SWE）的估计。成功的RA研究需要分析耦合的陆面辐射传输模型（LSM / RTM）的误差特征。本文关注的是作为土地表面模型的社区土地模型版本4（CLM4），以及作为RTM的分层积雪堆（MEMLS）的微波发射模型和稠密介质辐射传输多层模型（DMRT-ML）。使用美国国家航空航天局冷陆过程野外实验（CLPX）数据集并通过综合实验，耦合的CLM4 / DMRT-ML和CLM4 / MEMLS的误差具有以下特征：1）评估CLM4雪堆状态模拟； 2）评估RTM在模拟亮度温度方面的性能； 3）从RA的角度分析SWE误差与误差之间的相关性。使用CLPX数据集的结果表明，给定在干燥积雪条件下雪粒半径的误差较大（以及积雪温度的误差较小），两者之间的相关性主要取决于之间的关系。

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