Fast Computation of Microwave Radiances for Data Assimilation Using the “Successive Order of Scattering” Method.

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

Abstract

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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用“逐次散射”方法快速计算微波辐射度以同化数据。
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…
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