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The FDR4ATMOS Project

Lichtenberg, Günter and Slijkhuis, Sander and Hamidouche, Mourad and Coldewey-Egbers, Melanie and Aberle, Bernd and Noel, Stefan and Bramstedt, K. and Hilbig, Tina and Lambert, J-C. and van Gent, Jeroen and Hubert, Daan and Green, Paul and Hunt, Sam and Krijger, J. Mathijs and Dehn, Angelika and Brizzi, Gabriele (2020) The FDR4ATMOS Project. EGU 2020, 4-8 May 2020, Online.

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The FDR4ATMOS project has two main tasks. The focus of task A is to update the SCIAMACHY processing chain for better Ozone total columns. After the full re-processing of the SCIAMACHY mission with processor versions 9 (Level 1) and version 7 (Level 2), the comparison with ground-based data showed that the total Ozone column showed a downward trend of nearly 2% from the beginning of the time series to its end. This trend is an artefact and is likely caused by changes made to the calibration algorithms in the Level 1 processor (the DOAS retrieval algorithm for Ozone was not changed). The most likely reason are changes in the degradation correction that lead to subtle changes in the spectral structures that in the retrieval are interpreted as an atmospheric signature. In task A we will update the Level 0-1 processor with the final aim of a mission re-processing. The second task in the FDR4ATMOS project is to develop a cross-instrument Level 1 product for GOME-1 and SCIAMACHY for the UV, VIS and NIR spectral range with a focus on the spectral windows used for O3, SO2, NO2 total column retrieval and the determination of cloud properties. Contrary to other projects, FDR4ATMOS does not aim to build a harmonised time series on Level 2 products but on Level 1 products, i.e. radiances and reflectances. The GOME-1 and SCIAMACHY instrument together span 17 years of spectrally highly resolved data. The goal of the FDR4ATMOS project is to generate harmonised data sets that allow the user to use it directly in long term trend analysis, independent of the instrument. Since this was never done for highly resolved spectrometers, new methods have to be developed that e.g. take into account the different observation geometries and observation times of the instrument without impacting the spectral structures that are used for the retrieval of the atmospheric species. The resulting algorithms and the processor should also be as generic as possible to be able to transfer the methodology easily to other instruments (e.g. GOME-2, Sentinel-5p) for a future extension of the time series. The FDR4ATMOS started in October 2019 and is currently in phase 1. We will present the goals of the project and first results.

Item URL in elib:https://elib.dlr.de/135542/
Document Type:Conference or Workshop Item (Speech)
Title:The FDR4ATMOS Project
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Lichtenberg, GünterGuenter.Lichtenberg (at) dlr.dehttps://orcid.org/0000-0002-3335-2008
Slijkhuis, SanderSander.Slijkhuis (at) dlr.deUNSPECIFIED
Hamidouche, Mouradmourad.hamidouche (at) dlr.deUNSPECIFIED
Coldewey-Egbers, MelanieDLR-IMFhttps://orcid.org/0000-0002-9275-498X
Aberle, BerndBernd.Aberle (at) dlr.deUNSPECIFIED
Noel, StefanIUP-IFE, Universität BremenUNSPECIFIED
Bramstedt, K.IFE, Univ. of BremenUNSPECIFIED
Hilbig, TinaIUP-IFE, Universität BremenUNSPECIFIED
Hubert, DaanBIRA-IASB, Brüssel, BelgienmUNSPECIFIED
Krijger, J. MathijsEarth Space Solutions, Utrecht, The NetherlandsUNSPECIFIED
Dehn, AngelikaESA-ESRIN, Via Galileo Galilei, 00044 Frascati, ItalyUNSPECIFIED
Date:4 May 2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Atmosphere unstruments calibration time-series
Event Title:EGU 2020
Event Location:Online
Event Type:international Conference
Event Dates:4-8 May 2020
Organizer:European Geohysical Union
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):Vorhaben Spectroscopic Methods in Remote Sensing (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Lichtenberg, Günter
Deposited On:20 Jul 2020 13:34
Last Modified:20 Jul 2020 13:34

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