Liu, Song (2019) Inversion Models for the Retrieval of Total and Tropospheric NO2 Columns. Atmosphere, 10 (10), pp. 1-21. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/atmos10100607. ISSN 2073-4433.
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Official URL: https://doi.org/10.3390/atmos10100607
Abstract
Inversion models for retrieving the total and tropospheric nitrogen dioxide ( NO2 ) columns from spaceborne remote sensing data are presented. For total column retrieval, we propose the so-called differential radiance models with internal and external closure and solve the underlying nonlinear equations by using the method of Tikhonov regularization and the iteratively regularized Gauss–Newton method. For tropospheric column retrieval, we design a nonlinear and a linear model by using the results of the total column retrieval and the value of the stratospheric NO2 column delivered by a stratosphere–troposphere separation method. We also analyze the fundamentals of the commonly used differential optical absorption spectroscopy (DOAS) model and outline its relationship to the proposed inversion models. By a numerical analysis, we analyze the accuracy of the inversion models to retrieve total and tropospheric NO2 columns.
Item URL in elib: | https://elib.dlr.de/134297/ | ||||||||
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Document Type: | Article | ||||||||
Title: | Inversion Models for the Retrieval of Total and Tropospheric NO2 Columns | ||||||||
Authors: |
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Date: | October 2019 | ||||||||
Journal or Publication Title: | Atmosphere | ||||||||
Refereed publication: | Yes | ||||||||
Open Access: | Yes | ||||||||
Gold Open Access: | Yes | ||||||||
In SCOPUS: | Yes | ||||||||
In ISI Web of Science: | Yes | ||||||||
Volume: | 10 | ||||||||
DOI: | 10.3390/atmos10100607 | ||||||||
Page Range: | pp. 1-21 | ||||||||
Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||
ISSN: | 2073-4433 | ||||||||
Status: | Published | ||||||||
Keywords: | satellite retrieval, inversion model, NO2 | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Space | ||||||||
HGF - Program Themes: | Earth Observation | ||||||||
DLR - Research area: | Raumfahrt | ||||||||
DLR - Program: | R EO - Earth Observation | ||||||||
DLR - Research theme (Project): | R - Project Climatic relevance of atmospheric tracer gases, aerosols and clouds | ||||||||
Location: | Oberpfaffenhofen | ||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Atmospheric Processors | ||||||||
Deposited By: | Liu, Song | ||||||||
Deposited On: | 05 Mar 2020 12:38 | ||||||||
Last Modified: | 30 Oct 2023 14:03 |
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