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Chapter 7: From Radiation Fields to Atmospheric Concentrations - Retrieval of Geophysical Parameters

Bovensmann, Heinrich and Doicu, Adrian and Stammes, Piet and Van Roozendael, Michel and von Savigny, Christian and Penning de Vries, Marloes and Beirle, Steffen and Wagner, Thomas and Chance, Kelly and Buchwitz, Michael and Kokhanovsky, Alexander and Richter, Andreas and Rozanov, Alexei and Rozanov, Vladimir (2011) Chapter 7: From Radiation Fields to Atmospheric Concentrations - Retrieval of Geophysical Parameters. In: SCIAMACHY - Exploring the Changing Earth's Atmosphere Earth and Environmental Science. Springer Dordrecht Heidelberg London New York. pp. 99-128. ISBN 978-90-481-9895-5.

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Official URL: http://www.springerlink.com/content/978-90-481-9895-5/#section=828948&page=1

Abstract

Satellite-based atmospheric remote sensing aims at deriving the properties of trace gases, aerosols and clouds, as well as surface parameters from the measured top-of-atmosphere spectral radiance and reflectance. This requires, besides high quality spectra, an accurate modelling of the radiative transfer of solar radiation through the atmosphere to the sensor (forward model) and methods to derive the constituent properties from the measured top-of-atmosphere spectra (inversion methods). Many trace gases have structured absorption spectra in the UV-VIS spectral range serving as the starting point for determining their abundance by applying Differential Optical Absorption Spectroscopy (DOAS) or similar methods. In the UV-VIS-NIR and SWIR spectral regions the solar radiation is strongly scattered by clouds and aerosols. Therefore the presence of clouds and aerosol particles and their properties can also be inferred from the outgoing radiance measured by space-based instruments. Contrary to the forward model, the inversion methods allow to derive characteristics of the atmospheric state based on the measured quantities. A common product of the inversion of satellite measurements in limb, nadir or occultation geometry are total columns or height-resolved profiles of trace gas concentrations and aerosol parameters. Retrieving trace gas amounts in the troposphere constitutes a specific challenge. SCIAMACHY’s unique limb/nadir matching capability provides access to tropospheric columns by combining total columns obtained from nadir geometry with simultaneously measured stratospheric columns obtained from limb geometry.

Document Type:Book Section
Title:Chapter 7: From Radiation Fields to Atmospheric Concentrations - Retrieval of Geophysical Parameters
Authors:
AuthorsInstitution or Email of Authors
Bovensmann, HeinrichIUP-IFE, University of Bremen
Doicu, Adrianadrian.doicu@dlr.de
Stammes, PietKNMI
Van Roozendael, MichelBIRA-IASB
von Savigny, ChristianIUP-IFE, University of Bremen
Penning de Vries, MarloesMPI for Chemistry, Mainz
Beirle, SteffenMPI for Chemistry, Mainz
Wagner, ThomasMPI for Chemistry, Mainz
Chance, KellySAO
Buchwitz, MichaelIUP-IFE, University of Bremen
Kokhanovsky, AlexanderIUP-IFE, University of Bremen
Richter, AndreasIUP-IFE, University of Bremen
Rozanov, AlexeiIUP-IFE, University of Bremen
Rozanov, VladimirIUP-IFE, University of Bremen
Date:January 2011
Journal or Publication Title:SCIAMACHY - Exploring the Changing Earth's Atmosphere
Page Range:pp. 99-128
Editors:
EditorsEmail
Gottwald, Manfredmanfred.gottwald@dlr.de
Bovensmann, HeinrichIUP-IFE, University of Bremen
Publisher:Springer Dordrecht Heidelberg London New York
Series Name:Earth and Environmental Science
ISBN:978-90-481-9895-5
Status:Published
Keywords:Atmospheric composition retrieval, absorption, scattering, radiative transfer, Differential Optical Absorption Spectroscopy (DOAS), inversion theory
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Entwicklung von Atmosphärenprozessoren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Dr.rer.nat. Manfred Gottwald
Deposited On:25 Jan 2011 13:32
Last Modified:19 Apr 2013 08:57

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