用“逐次散射”方法快速计算微波辐射度以同化数据。

T. Greenwald, R. Bennartz, C. O’Dell, A. Heidinger
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引用次数: 20

摘要

摘要在数值天气预报资料同化中,快速、准确的辐射传输(RT)模型是保证微波卫星资料在所有天气条件下都可行的关键。建立了一种多流“逐次散射”(SOS) RT模型,以确定其在NWP中计算降水云中微波辐射的适用性。结果表明,在中强至强散射(CSOD > 5)条件下,双流SOS模型在较弱散射条件下(柱散射光学深度(CSOD) 30 GHz)的速度和精度是常用的delta-Eddington模型的10倍。结果表明,在1°× 1°全球预报场中计算的85.5 ghz亮度温度精度为0.1,执行速度是delta-Eddington模型的4倍。SOS方法有…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Computation of Microwave Radiances for Data Assimilation Using the “Successive Order of Scattering” Method.
Abstract Fast and accurate radiative transfer (RT) models are crucial in making use of microwave satellite data feasible under all weather conditions in numerical weather prediction (NWP) data assimilation. A multistream “successive order of scattering” (SOS) RT model has been developed to determine its suitability in NWP for computing microwave radiances in precipitating clouds. Results show that the two-stream SOS model is up to 10 times as fast as and is as accurate as the commonly used delta-Eddington model for weaker scattering [column scattering optical depth (CSOD) 30 GHz) in cases of moderately strong to strong scattering (CSOD > 5). If two- and four-stream SOS models are used in combination, however, it was found that 85.5-GHz brightness temperatures computed for 1° × 1° global forecast fields were more accurate ( 0.1) and were executed 4 times as fast as the delta-Eddington model. The SOS method has...
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