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On the Efficient Treatment of Temperature Profiles for the Estimation of Atmospheric Transmittance Under Scattering Conditions : Volume 5, Issue 3 (29/06/2012)

By Lindstrot, R.

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Book Id: WPLBN0003982317
Format Type: PDF Article :
File Size: Pages 22
Reproduction Date: 2015

Title: On the Efficient Treatment of Temperature Profiles for the Estimation of Atmospheric Transmittance Under Scattering Conditions : Volume 5, Issue 3 (29/06/2012)  
Author: Lindstrot, R.
Volume: Vol. 5, Issue 3
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Lindstrot, R., & Preusker, R. (2012). On the Efficient Treatment of Temperature Profiles for the Estimation of Atmospheric Transmittance Under Scattering Conditions : Volume 5, Issue 3 (29/06/2012). Retrieved from http://kindle.worldlibrary.net/


Description
Description: Institut für Weltraumwissenschaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany. The vertical temperature profile in the atmosphere influences the top-of-atmosphere radiance in regions of atmospheric absorption bands. In the visible and near infrared part of the spectrum, this poses a problem for the fast forward simulation of the radiative transfer, needed in algorithms for the retrieval of any atmospheric or surface-related parameter. We show that the main part of the global variability of temperature profiles can be described by their first 2 to 6 eigenvectors, depending on the accuracy requirement, by performing a Principal Component Analysis (PCA) on a global set of temperature profiles from the Global Forecast System (GFS). Furthermore, we demonstrate the possibility to approximate the atmospheric transmittance in the oxygen A band for any temperature profile with almost perfect accuracy by a linear combination of the transmittances attributed to each of the significant temperature eigenvectors. For the retrieval of surface pressure from oxygen A band measurements, this reduces the global root mean square error from > 30 hPa to better than 1 hPa by strongly reducing the regional bias of surface pressure, retrieved on the assumption of an average temperature profile. The technique can be applied under scattering conditions, to eliminate any temperature-induced errors in e.g. simulated radiances. Generally, the method can be applied to any problem including gaseous absorption or emission, such as e.g. the retrieval of water vapour content or sea surface temperature.

Summary
On the efficient treatment of temperature profiles for the estimation of atmospheric transmittance under scattering conditions

Excerpt
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