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Gauss–Seidel limb scattering (GSLS) radiative transfer model development in support of the Ozone Mapping and Profiler Suite (OMPS) limb profiler mission

机译:高斯-塞德尔肢体散射(GSLS)辐射传递模型的开发,以支持臭氧测绘和轮廓仪套件(OMPS)肢体轮廓仪任务

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摘要

The Gauss–Seidel limb scattering (GSLS) radiative transfer (RT) modelsimulates the transfer of solar radiation through the atmosphere and isimbedded in the retrieval algorithm used to process data from the OzoneMapping and Profiler Suite (OMPS) limb profiler (LP), which was launched onthe Suomi NPP satellite in October 2011. A previous version of this model hasbeen compared with several other limb scattering RT models in previousstudies, including Siro, MCC++, CDIPI, LIMBTRAN, SASKTRAN, VECTOR, andMcSCIA. To address deficiencies in the GSLS radiance calculations revealed inearlier comparisons, several recent changes have been added that improve theaccuracy and flexibility of the GSLS model, including1. improved treatment of the variation of the extinction coefficient withaltitude, both within atmospheric layers and above the nominal top of theatmosphere;2. addition of multiple-scattering source function calculations at multiplesolar zenith angles along the line of sight (LOS);3. introduction of variable surface properties along the limb LOS, withminimal effort required to add variable atmospheric properties along the LOSas well;4. addition of the ability to model multiple aerosol types within the model atmosphere.The model improvements 1 and 2 are verified by comparison topreviously published results (using standard radiance tables wheneverpossible), demonstrating significant improvement in cases for which previousversions of the GSLS model performed poorly. The single-scattered radianceerrors that were as high as 4% in earlier studies are now generallyreduced to 0.3%, while total radiance errors generally decline from10% to 1–3%. In all cases, the tangent height dependence of theGSLS radiance error is greatly reduced.
机译:高斯-赛德尔肢体散射(GSLS)辐射传递(RT)模型模拟​​了太阳辐射通过大气层的传递,并被嵌入到用于处理来自OzoneMapping和Profiler Suite(OMPS)肢体轮廓器(LP)的数据的检索算法中。于2011年10月在Suomi NPP卫星上发射。该模型的先前版本已与以前的其他几种肢体散射RT模型进行了比较,包括Siro,MCC ++,CDIPI,LIMBTRAN,SAKSKTRAN,VECTOR和McSCIA。为了解决GSLS辐射度计算在早期比较中发现的缺陷,最近添加了一些新的更改来改善GSLS模型的准确性和灵活性,包括1。改进了大气层内和大气标称顶部以上消光系数随高度变化的处理方法; 2。沿视线(LOS)在多个太阳天顶角处添加了多个散射源函数计算; 3。沿肢体LOS引入可变的表面特性,而沿LOS也增加最小的大气特性所需的最小努力; 4。此外,还具有对模型大气中多种气溶胶类型进行建模的能力。模型改进1和2通过与先前发布的结果进行比较(只要可能就使用标准辐射率表)进行了比较,证明了在GSLS模型的先前版本性能不佳的情况下有显着改进。现在,以前研究中高达4%的单散射辐射误差现在通常降低到0.3%,而总辐射误差通常从10%下降到1-3%。在所有情况下,GSLS辐射误差的切线高度依赖性都大大降低了。

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