Masiello Guido, Serio Carmine
CNISM, Unità di Ricerca Università della Basilicata, Potenza 85100, Italy.
Appl Opt. 2013 Apr 10;52(11):2428-46. doi: 10.1364/AO.52.002428.
The problem of simultaneous physical retrieval of surface emissivity, skin temperature, and temperature, water-vapor, and ozone atmospheric profiles from high-spectral-resolution observations in the infrared is formulated according to an inverse problem with multiple regularization parameters. A methodology has been set up, which seeks an effective solution to the inverse problem in a generalized L-curve criterion framework. The a priori information for the surface emissivity is obtained on the basis of laboratory data alone, and that for the atmospheric parameters by climatology or weather forecasts. To ensure that we deal with a problem of fewer unknowns than observations, the dimensionality of the emissivity is reduced through expansion in Fourier series. The main objective of this study is to demonstrate the simultaneous retrieval of emissivity, skin temperature, and atmospheric parameters with a two-dimensional L-curve criterion. The procedure has been demonstrated with spectra observed from the infrared atmospheric sounder interferometer, flying onboard the European Meteorological Operational satellite. To check the quality and reliability of the methodology, we have used spectra recorded over regions characterized by known or stable emissivity. These include sea surface, for which effective emissivity models are known, and arid lands (Sahara and Namib Deserts) that are known to exhibit the characteristic spectral signature of quartz-rich sand.
根据具有多个正则化参数的反问题,阐述了从红外高光谱分辨率观测中同时物理反演地表发射率、皮肤温度以及温度、水汽和臭氧大气廓线的问题。已建立一种方法,该方法在广义L曲线准则框架内寻求反问题的有效解。地表发射率的先验信息仅基于实验室数据获得,而大气参数的先验信息则通过气候学或天气预报获得。为确保处理的未知量比观测值少,通过傅里叶级数展开降低发射率的维度。本研究的主要目的是用二维L曲线准则演示发射率、皮肤温度和大气参数的同时反演。该程序已通过搭载在欧洲气象业务卫星上的红外大气探测干涉仪观测的光谱进行了演示。为检验该方法的质量和可靠性,我们使用了在发射率已知或稳定的区域记录的光谱。这些区域包括已知有效发射率模型的海面,以及已知呈现富含石英砂特征光谱特征的干旱土地(撒哈拉沙漠和纳米布沙漠)。