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

机译:HAVEMANN-TAYLOR快速辐射转移代码:逐行传感器独立辐射传输代码

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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.
机译:该Havemann - 泰勒快速辐射传输代码(HT-个fRTC)基于主成分(PC)和允许快速和精确的辐射和/或透射率的计算。它非常适合用于高光谱传感器的模拟与数百或数千条通道。在HT-个fRTC可以在几毫秒内模拟任何大气和表面完整的仪器谱。它适用于卫星,空中和地面传感器。代码已经在光谱的任何部分从短波到长波(即红外加微波)施加。它包括太阳能和月球源,并且可以占球形地球。在HT-个fRTC已被纳入一维变(1D-VAR)检索系统,这项工作只在PC空间。这使矩阵的尺寸涉及小。全非线性问题的解决方案是通过一种迭代的Levenberg-马夸特最小化过程来实现的。检索状态向量包括大气温度,水蒸气和臭氧,和可能的其它微量气体以及表面温度和表面辐射/反射率(由一组个人电脑所代表的后者)的垂直剖面图。对于散射气氛,云参数和气溶胶参数已被添加到状态向量。对于卷云所述状态向量的云部分包括云的顶压力,冰的水含量,云量和云几何厚度。对于水云也有一个有效的液滴尺寸。

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