首页> 外文会议>Geoscience and Remote Sensing Symposium, 2008 IEEE International-IGARSS 2008 >OSS Radiative Transfer Method Performance in Real Time Atmosphere Characterization from Satellite Sounding and Imaging Data
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OSS Radiative Transfer Method Performance in Real Time Atmosphere Characterization from Satellite Sounding and Imaging Data

机译:卫星探测和成像数据在大气实时表征中的OSS辐射传输方法性能

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The Optimal Spectral Sampling (OSS) method is a rapid and accurate technique for numerical modeling of narrow-band transmittances in media with non-homogeneous thermodynamic properties containing a mixture of absorbing gases with variable concentrations. The method was initially designed for the modeling of radiances measured by satellite or aircraft-borne sensors in the infrared and microwave and is particularly well suited for remote sensing applications and for the assimilation of satellite observations in numerical weather prediction (NWP) models. In this paper we provide a brief description of the method and discuss its accuracy and computational performance in the context of retrieval of atmospheric parameters from sounding and imaging sensor (e.g. AIRS and MODIS) observations. Both clear and cloudy conditions are addressed.
机译:最佳光谱采样(OSS)方法是一种快速准确的技术,用于对具有非均匀热力学特性的介质中的窄带透射率进行数值建模,该介质包含具有可变浓度的吸收性气体的混合物。该方法最初设计用于对卫星或飞机上的传感器在红外和微波中测量的辐射进行建模,特别适合于遥感应用以及数值天气预报(NWP)模型中对卫星观测的同化。在本文中,我们提供了对该方法的简要说明,并在从测深和成像传感器(例如AIRS和MODIS)的观测中检索大气参数的背景下,讨论了该方法的准确性和计算性能。晴天和阴天都可以解决。

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