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Linearization of the Principal Component Analysis method for radiative transfer acceleration: Application to retrieval algorithms and sensitivity studies

Spurr, Robert and Natraj, V. and Lerot, C. and Roozendael, M. Van and Loyola, Diego (2013) Linearization of the Principal Component Analysis method for radiative transfer acceleration: Application to retrieval algorithms and sensitivity studies. Journal of Quantitative Spectroscopy and Radiative Transfer, 125, pp. 1-17. Elsevier. DOI: 10.1016/j.jqsrt.2013.04.002 ISSN 0022-4073

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1016/j.jqsrt.2013.04.002

Abstract

Principal Component Analysis (PCA) is a promising tool for enhancing radiative transfer (RT) performance. When applied to binned optical property data sets, PCA exploits redundancy in the optical data, and restricts the number of full multiple-scatter calculations to those optical states corresponding to the most important principal components, yet still maintaining high accuracy in the radiance approximations. We show that the entire PCA RT enhancement process is analytically differentiable with respect to any atmospheric or surface parameter, thus allowing for accurate and fast approximations of Jacobian matrices, in addition to radiances. This linearization greatly extends the power and scope of the PCA method to many remote sensing retrieval applications and sensitivity studies. In the first example, we examine accuracy for PCA-derived UV-backscatter radiance and Jacobian fields over a 290–340 nm window. In a second application, we show that performance for UV-based total ozone column retrieval is considerably improved without compromising the accuracy.

Item URL in elib:https://elib.dlr.de/82820/
Document Type:Article
Title:Linearization of the Principal Component Analysis method for radiative transfer acceleration: Application to retrieval algorithms and sensitivity studies
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Spurr, RobertRT Solutions, Inc.UNSPECIFIED
Natraj, V.NASA-JLPUNSPECIFIED
Lerot, C.BIRAUNSPECIFIED
Roozendael, M. VanBIRA-IASBUNSPECIFIED
Loyola, DiegoDLR-MFUNSPECIFIED
Date:2013
Journal or Publication Title:Journal of Quantitative Spectroscopy and Radiative Transfer
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:125
DOI :10.1016/j.jqsrt.2013.04.002
Page Range:pp. 1-17
Publisher:Elsevier
ISSN:0022-4073
Status:Published
Keywords:- Principal Component Analysis (PCA) of spectrally-binned atmospheric optical properties. - PCA-based accelerated radiative transfer with 2-stream model for fast multiple-scatter. - Atmospheric and surface property linearization of this PCA performance enhancement. - Accuracy of PCA enhancement for radiances and bulk-property Jacobians, 290–340 nm. - Application of PCA speed enhancement to UV backscatter total ozone retrievals.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Ozon-SAF (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Loyola, Dr.-Ing. Diego
Deposited On:14 Jun 2013 08:34
Last Modified:06 Sep 2019 15:28

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