DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Ensembles of satellite aerosol retrievals based on three AATSR algorithms within aerosol_cci

Kosmale, Miriam and Popp, Thomas (2016) Ensembles of satellite aerosol retrievals based on three AATSR algorithms within aerosol_cci. European Geosciences Union General Assembly 2016, 17. -22. April 2016, Vienna, Austria.

[img] PDF


Ensemble techniques are widely used in the modelling community, combining different modelling results in order to reduce uncertainties. This approach could be also adapted to satellite measurements. Aerosol_cci is an ESA funded project, where most of the European aerosol retrieval groups work together. The different algorithms are homogenized as far as it makes sense, but remain essentially different. Datasets are compared with ground based measurements and between each other. Three AATSR algorithms (Swansea university aerosol retrieval, ADV aerosol retrieval by FMI and Oxford aerosol retrieval ORAC) provide within this project 17 year global aerosol records. Each of these algorithms provides also uncertainty information on pixel level. Within the presented work, an ensembles of the three AATSR algorithms is performed. The advantage over each single algorithm is the higher spatial coverage due to more measurement pixels per gridbox. A validation to ground based AERONET measurements shows still a good correlation of the ensemble, compared to the single algorithms. Annual mean maps show the global aerosol distribution, based on a combination of the three aerosol algorithms. In addition, pixel level uncertainties of each algorithm are used for weighting the contributions, in order to reduce the uncertainty of the ensemble. Results of different versions of the ensembles for aerosol optical depth will be presented and discussed. The results are validated against ground based AERONET measurements. A higher spatial coverage on daily basis allows better results in annual mean maps. The benefit of using pixel level uncertainties is analysed.

Item URL in elib:https://elib.dlr.de/111086/
Document Type:Conference or Workshop Item (Poster)
Title:Ensembles of satellite aerosol retrievals based on three AATSR algorithms within aerosol_cci
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kosmale, MiriamMiriam.Kosmale (at) dlr.deUNSPECIFIED
Popp, Thomasthomas.popp (at) dlr.deUNSPECIFIED
Date:19 April 2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:p. 1
Keywords:ATSR, AATSR, Ensemble, Aerosol, satellite, retrieval, Aerosol_cci, cci, ADV, ORAC, Swansea
Event Title:European Geosciences Union General Assembly 2016
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:17. -22. April 2016
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 Datenprodukte für Klima- und Atmosphärenanwendungen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
Deposited By: Kosmale, Miriam
Deposited On:14 Feb 2017 08:50
Last Modified:31 Jul 2019 20:08

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.