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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Potential Use of Surface-Sensitive Microwave Observations Over Land in Numerical Weather Prediction
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Potential Use of Surface-Sensitive Microwave Observations Over Land in Numerical Weather Prediction

机译：陆地表面敏感微波观测在数值天气预报中的潜在用途

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摘要

This paper describes several sensitivity studies carried out with the French global 4-D-Var system to check its ability to assimilate surface-sensitive observations over land from the Special Sensor Microwave Imager (SSM/I). As well as a sound knowledge of land-surface parameters, the assimilation of SSM/I observations requires effective rain-detection and bias-correction algorithms. Three sensitivity components are hence analyzed with a special emphasis on the land-surface emissivity at SSM/I frequencies estimated from satellite observations. Several rain algorithms were tested to reject cloudy/rainy observations over land, and the bias-correction scheme was adapted to improve its performance over land and sea surfaces. Once these problems have been outlined, a global 4-D-Var assimilation experiment which assimilates SSM/I observations over land surfaces was run and compared with a control experiment. The impact on forecast scores has been found to be globally positive. Nevertheless, the very high sensitivity of SSM/I to each of the three components presented in this study is characterized by opposite effects that, once clustered together, lead to some residual biases over land due to their combined effects.
机译：本文介绍了利用法国全球4-D-Var系统进行的几项敏感性研究，以检查其吸收特殊传感器微波成像仪（SSM / I）在陆地上的表面敏感观测结果的能力。除了对地表参数的全面了解外，对SSM / I观测的同化还需要有效的降雨检测和偏差校正算法。因此，分析了三个敏感度分量，其中特别强调了根据卫星观测估计的SSM / I频率下的地表发射率。测试了几种降雨算法来拒绝陆地上的阴天/雨天观测，并且采用了偏差校正方案来改善其在陆地和海面上的性能。一旦概述了这些问题，便开始进行全球4-D-Var同化实验，该实验同化地面上的SSM / I观测值，并将其与对照实验进行比较。已经发现，对预测分数的影响是全球积极的。尽管如此，本研究中提出的SSM / I对这三个组成部分的灵敏度都很高，其特征是相反的作用，一旦聚集在一起，由于它们的综合作用，会在土地上产生一些残余偏差。

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