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Validation of Carbon Monoxide Vertical Column Densities Retrieved from SCIAMACHY Infrared Nadir Observations

Hochstaffl, Philipp and Gimeno Garcia, Sebastian and Schreier, Franz and Hamidouche, Mourad and Lichtenberg, Günter (2016) Validation of Carbon Monoxide Vertical Column Densities Retrieved from SCIAMACHY Infrared Nadir Observations. In: Proceedings Living Planet Symposium 2016, SP-740. Spacebooks online. ESA Living Planet Symposium, 9 - 13 May 2016, Prague, Czech Republic. ISBN 978-92-9221-305-3.

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Official URL: http://www.spacebooks-online.com/product_info.php?cPath=104&products_id=17659


Carbon monoxide and methane are key species of Earth's atmosphere. Accordingly, a large number of spaceborne sensors are observing these species in the microwave, thermal and near infrared. For the analysis of short wave infrared spectra measured by SCIAMACHY and similar instrument(s) we had developed the Beer InfraRed Retrieval Algorithm: BIRRA is a separable least squares fit of the measured radiance with respect to molecular column densities and auxiliary Parameters optional: surface albedo, baseline, slit function width, and wavenumber shift). BIRRA has been implemented in the operational SCIAMACHY L1 to 2 processor for the retrieval of CO and CH4 from channel 8 and 6, respectively; the validation study reported here is based on the BIRRA prototype version giving more flexibility. Verification and validation are critical elements of any code development, and mandatory for the assessment of spaceborne remote sensing products. In this poster we report on intercomparisons of CO columns estimated from SCIAMACHY with coincident and co-located retrievals provided by ground-based Fourier transform infrared spectroscopy. More specifically, we have used data from several NDACC (Network for the Detection of Atmospheric Composition Change) and TCCON (Total Carbon Column Observing Network) stations. Like SCIAMACHY's channel 8 the TCCON instruments utilize the 2.3 µm band of carbon monoxide, whereas NDACC observes the CO mid infrared absorption. The results indicate the importance of appropriate sampling areas around the station, calibration of level 1 data, and post-processing of the BIRRA retrievals (esp. filtering). Furthermore, the increased deviations of the spaceborne and ground-based columns in the later years of the mission clearly demonstrate the impact of the degrading channel 8 detector. Overall, the CO columns derived from SCIAMACHY and NDACC/TCCON largely agree within the error bars.

Item URL in elib:https://elib.dlr.de/104207/
Document Type:Conference or Workshop Item (Poster)
Additional Information:sp-740\Posters\patmo_27hochstaffl
Title:Validation of Carbon Monoxide Vertical Column Densities Retrieved from SCIAMACHY Infrared Nadir Observations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hochstaffl, Philippphilipp.hochstaffl (at) dlr.deUNSPECIFIED
Gimeno Garcia, Sebastiansebastian.gimenogarcia (at) dlr.deUNSPECIFIED
Schreier, Franzfranz.schreier (at) dlr.deUNSPECIFIED
Hamidouche, Mouradmourad.hamidouche (at) dlr.deUNSPECIFIED
Lichtenberg, Günterguenter.lichtenberg (at) dlr.deUNSPECIFIED
Date:May 2016
Journal or Publication Title:Proceedings Living Planet Symposium 2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Publisher:Spacebooks online
Keywords:Atmospheric remote sensing, Molecular absorption, Short wave infrared Ground-based FTS
Event Title:ESA Living Planet Symposium
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:9 - 13 May 2016
Organizer:European Space Agency
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):R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Schreier, Dr.rer.nat. Franz
Deposited On:04 May 2016 11:31
Last Modified:31 Jul 2019 20:01

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