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Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing

Kox, Stephan and Bugliaro, Lucca and Ostler, A. (2014) Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing. Atmospheric Measurement Techniques, 7 (10), pp. 3233-3246. Copernicus Publications. DOI: 10.5194/amt-7-3233-2014 ISSN 1867-1381

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Official URL: http://www.atmos-meas-tech.net/7/3233/2014/

Abstract

A novel approach for the detection of cirrus clouds and the retrieval of optical thickness and top altitude based on the measurements of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the geostationary Meteosat Second Generation (MSG) satellite is presented. Trained with 8 000 000 co-incident measurements of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission the new "cirrus optical properties derived from CALIOP and SEVIRI algorithm during day and night" (COCS) algorithm utilizes a backpropagation neural network to provide accurate measurements of cirrus optical depth t at ? = 532 nm and top altitude z every 15 min covering almost one-third of the Earth's atmosphere. The retrieved values are validated with independent measurements of CALIOP and the optical thickness derived by an airborne high spectral resolution lidar.

Item URL in elib:https://elib.dlr.de/93079/
Document Type:Article
Title:Retrieval of cirrus cloud optical thickness and top altitude from geostationary remote sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kox, StephanDLR, IPAUNSPECIFIED
Bugliaro, LuccaDLR, IPAUNSPECIFIED
Ostler, A.IMK-IFU, Garmisch-Partenkirchen, DUNSPECIFIED
Date:2014
Journal or Publication Title:Atmospheric Measurement Techniques
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.5194/amt-7-3233-2014
Page Range:pp. 3233-3246
Publisher:Copernicus Publications
ISSN:1867-1381
Status:Published
Keywords:Cirrus Retrieval, MSG/SEVIRI, CALIOP/CALIPSO, Artificial Neural Network
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 Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Remote Sensing
Deposited By: Bugliaro Goggia, Dr.rer.nat. Luca
Deposited On:04 Dec 2014 08:10
Last Modified:02 May 2019 14:13

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