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Simulation of Satellite Water Vapour Lidar Measurements: Performance Assessment under Real Atmospheric Conditions.

Di Girolamo, Paolo and Behrendt, Andreas and Kiemle, Christoph and Wulfmeyer, Volker and Bauer, Heinz and Summa, Donato and Dörnbrack, Andreas and Ehret, Gerhard (2008) Simulation of Satellite Water Vapour Lidar Measurements: Performance Assessment under Real Atmospheric Conditions. Remote Sensing of Environment, 112, pp. 1552-1568. Elsevier. doi: 10.1016/j.rse.2007.08.008.

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Official URL: http://www.elsevier.com/wps/find/journaldescription.cws_home/505733/description#description

Abstract

A lidar simulator has been applied to assess the performances of a satellite water vapour differential absorption lidar (DIAL) system. Measurements performed by the airborne Deutsches Zentrum für Luft- und Raumfahrt (DLR) water vapour DIAL on 15 May 2002 during ESA’s Water Vapour Lidar Experiment (WALEX), in combination with MM5 mesoscale model output, were used to obtain backscatter and water vapour fields with high resolution and accuracy. These data and model output serve as input for the simulator, allowing for the performance of satellite DIAL under highly-inhomogeneous atmospheric conditions including clouds to be assessed. The airborne measurements show an intrusion of stratospheric air into the troposphere, and MM5 data used above the DLR Falcon airplane flight altitude are characterized by very high upper tropospheric humidity levels, comparable to those associated with strong mid-latitude transport events from the troposphere to the lowermost stratosphere. Results of the simulator reveal that the maximum systematic error does not exceed 5% up to 16 km, except in the presence of thick cirrus and mid level clouds with an optical thickness up to 2 and, occasionally, inside the dry stratospheric intrusion, while the random error is less than 20% up to 16 km when spatial measurement resolutions are applied that follow the World Meteorological Organization (WMO) threshold observational requirements for numerical weather prediction (NWP). The bias is even smaller if a drier upper troposphere/lower stratosphere (UTLS) region from a reference atmosphere is considered. The results confirm the capability of satellite water vapour DIAL systems to retrieve thin structures of the tropospheric water vapour and particle backscatter fields, as well as its capability to provide low bias measurements with high precision even in the presence of clouds.

Item URL in elib:https://elib.dlr.de/54864/
Document Type:Article
Title:Simulation of Satellite Water Vapour Lidar Measurements: Performance Assessment under Real Atmospheric Conditions.
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Di Girolamo, PaoloUniv. Basilicata, Potenza, IUNSPECIFIEDUNSPECIFIED
Behrendt, AndreasUniv. HohenheimUNSPECIFIEDUNSPECIFIED
Kiemle, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wulfmeyer, VolkerUniv. HohenheimUNSPECIFIEDUNSPECIFIED
Bauer, HeinzUniv. HohenheimUNSPECIFIEDUNSPECIFIED
Summa, DonatoUniv. Basilicata, Potenza, IUNSPECIFIEDUNSPECIFIED
Dörnbrack, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ehret, GerhardUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2008
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:112
DOI:10.1016/j.rse.2007.08.008
Page Range:pp. 1552-1568
Publisher:Elsevier
Status:Published
Keywords:simulation, satellite, differential absorption lidar, space lidar, water vapour remote sensing
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 LIDAR-Forschung und -Entwicklung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Lidar
Institute of Atmospheric Physics > Cloud Physics and Traffic Meteorology
Deposited By: Freund, Jana
Deposited On:31 Jul 2008
Last Modified:31 Jul 2019 19:22

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