The Havemann-Taylor Fast Radiative Transfer Code: A line-by-line sensor independent Radiative Transfer Code

J. Thelen, S. Havemann
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Abstract

The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) is based on Principal Components (PCs) and allows fast and exact radiance and/or transmittance calculations. It is ideally suited for the simulation of hyperspectral sensors with hundreds or thousands of channels. The HT-FRTC can simulate a full instrument spectrum for any atmosphere and surface within a few milliseconds. It works for satellite-based, airborne and ground-based sensors. The code has been applied in any part of the spectrum from the short-wave to the long-wave (i.e. infrared plus microwave). It includes the solar and the lunar source and can account for the spherical Earth. The HT-FRTC has been incorporated into a one-dimensional variational (1D-Var) retrieval system that also works solely in PC space. This keeps the dimensions of the matrices involved small. The solution of the full non-linear problem is achieved by an iterative Levenberg-Marquardt minimization procedure. The retrieval state vector includes the vertical profiles of atmospheric temperature, water vapour and ozone, and possibly other trace gases as well as the surface temperature and surface emissivity / reflectivity (the latter being represented by a set of PCs). For a scattering atmosphere, cloud parameters and aerosol parameters have been added to the state vector. The cloud part of the state vector for cirrus cloud includes cloud-top pressure, ice water content, cloud fraction and cloud geometrical thickness. For water cloud there is also an effective droplet size.
哈夫曼-泰勒快速辐射传输代码:一个逐行传感器独立的辐射传输代码
哈夫曼-泰勒快速辐射传输代码(HT-FRTC)是基于主成分(pc),并允许快速和精确的辐射和/或透射率计算。它非常适合具有数百或数千个通道的高光谱传感器的模拟。HT-FRTC可以在几毫秒内模拟任何大气和表面的完整仪器频谱。它适用于基于卫星、机载和地面的传感器。该代码已应用于从短波到长波(即红外加微波)频谱的任何部分。它包括太阳和月球的来源,可以解释球形的地球。HT-FRTC已纳入一维变分(1D-Var)检索系统,该系统也仅适用于PC空间。这使得所涉及的矩阵的维数很小。采用迭代Levenberg-Marquardt最小化法求解全非线性问题。检索状态向量包括大气温度、水蒸气和臭氧以及可能的其他微量气体的垂直剖面,以及地表温度和地表发射率/反射率(后者由一组pc表示)。对于散射大气,在状态向量中加入了云参数和气溶胶参数。卷云状态向量的云部分包括云顶压力、冰水含量、云分数和云的几何厚度。对于水云,也有一个有效的水滴大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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