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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Retrieval of Ice Cloud Properties from AIRS and MODIS Observations Based on a Fast High-Spectral-Resolution Radiative Transfer Model
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Retrieval of Ice Cloud Properties from AIRS and MODIS Observations Based on a Fast High-Spectral-Resolution Radiative Transfer Model

机译：基于快速高光谱分辨率辐射传输模型的AIRS和MODIS观测值反演冰云特性

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摘要

A computationally efficient high-spectral-resolution cloudy-sky radiative transfer model (HRTM) in the thermal infrared region (700-1300 cm(-1), 0.1 cm(-1) spectral resolution) is advanced for simulating the up-welling radiance at the top of atmosphere and for retrieving cloud properties. A precomputed transmittance database is generated for simulating the absorption contributed by up to seven major atmospheric absorptive gases (H2O, CO2, O-3, O-2, CH4, CO, and N2O) by using a rigorous line-by-line radiative transfer model (LBLRTM). Both the line absorption of individual gases and continuum absorption are included in the database. A high-spectral-resolution ice particle bulk scattering properties database is employed to simulate the radiation transfer within a vertically nonisothermal ice cloud layer. Inherent to HRTM are sensor spectral response functions that couple with high-spectral-resolution measurements in the thermal infrared regions from instruments such as the Atmospheric Infrared Sounder (AIRS) and Infrared Atmospheric Sounding Interferometer. When compared with the LBLRTM and the discrete ordinates radiative transfer model (DISORT), the root-mean-square error of HRTM-simulated single-layer cloud brightness temperatures in the thermal infrared window region is generally smaller than 0.2 K. An ice cloud optical property retrieval scheme is developed using collocated AIRS and Moderate Resolution Imaging Spectroradiometer (MODIS) data. A retrieval method is proposed to take advantage of the high-spectral-resolution instrument. On the basis of the forward model and retrieval method, a case study is presented for the simultaneous retrieval of ice cloud optical thickness tau and effective particle size D-eff that includes a cloud-top-altitude self-adjustment approach to improve consistency with simulations.
机译：为了模拟上升流辐射，提出了一种在热红外区域（700-1300 cm（-1），0.1 cm（-1）光谱分辨率）具有计算效率的高光谱分辨率多云天空辐射传输模型（HRTM）在大气层顶部并用于获取云的属性。通过使用严格的逐行辐射传输，可以生成预先计算的透射率数据库，以模拟多达七种主要大气吸收性气体（H2O，CO2，O-3，O-2，CH4，CO和N2O）的吸收型号（LBLRTM）。数据库中同时包含了各种气体的线吸收和连续吸收。利用高光谱分辨率的冰粒体积散射特性数据库来模拟垂直非等温冰云层内的辐射传输。 HRTM固有的是传感器光谱响应功能，该功能与热红外区中的高光谱分辨率测量结合使用，这些仪器来自大气红外测深仪（AIRS）和红外大气探测干涉仪。与LBLRTM和离散纵坐标辐射传递模型（DISORT）进行比较时，热红外窗口区域中HRTM模拟的单层云亮度温度的均方根误差通常小于0.2K。属性检索方案是使用并置的AIRS和中等分辨率成像光谱仪（MODIS）数据开发的。提出了一种利用高光谱分辨率仪器的检索方法。在前向模型和检索方法的基础上，提出了同时检索冰云光学厚度tau和有效粒径D-eff的案例研究，其中包括云顶高度自调整方法以提高与模拟的一致性。

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