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Evaluation of radiative transfer schemes for mesoscale model data assimilation: a case study

机译:中尺度模型数据同化的辐射传输方案评估:一个案例研究

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The assimilation of Special Sensor Microwave Imager (SSM/I) data into theMesoscale Model 5 (MM5) allows for improving the weather forecast.However the results suggested an update the Radiative TransferEquation (RTE) within the three-dimensional variational (3DVAR) algorithmwhich is tailored for non rainy conditions only. To this purpose, a new RTEalgorithm is tested, in order to account for radiometric response in rainyregions. The new brightness temperatures (TB) are estimated byusing hydrometeor profiles from the MM5 mesoscale model, running with twodifferent microphysical parameterizations. The goodness of the results isassessed by comparing the new TB with those of the original RTEalgorithm in the 3DVAR code and the SSM/I observed data. The results confirma better reliability of the new RTE compared to the old one.
机译:将特殊传感器微波成像仪(SSM / I)数据同化到中尺度模型5(MM5)中可以改善天气预报,但是结果建议在三维变分(3DVAR)算法中更新辐射传递方程(RTE)。仅适合非雨天条件。为此,测试了一个新的RTE算法,以解决雨区的辐射响应问题。新的亮度温度( T B )是通过使用MM5中尺度模型中的水汽剖面进行估算的,该模型具有两个不同的微物理参数设置。通过在3DVAR代码和SSM / I观测数据中将新的 T B 与原始RTE算法的结果进行比较来评估结果的优劣。结果证实,与旧RTE相比,新RTE具有更好的可靠性。

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