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An improved total and tropospheric NO2 column retrieval for GOME-2

Liu, Song and Valks, Pieter and Pinardi, Gaia and Smedt, Isabelle De and Yu, Huan and Beirle, Steffen (2016) An improved total and tropospheric NO2 column retrieval for GOME-2. In: Proceedings of Living Planet Symposium 2016, SP-740, pp. 1-6. ESA Communications. Living Planet Symposium 2016 - ESA, 9-13 May 2016, Prague, Czech Republic. ISBN 978-92-9221-305-3. ISSN 1609-042X.

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Official URL: http://www.spacebooks-online.com/product_info.php?cPath=104&products_id=17659&osCsid=982f7a3965a95e6a7f7461f8f54307c0


This paper focuses on an improved algorithm for the retrieval of total and tropospheric NO2 columns from the Global Ozone Monitoring Experiment-2 (GOME-2). A larger 425-497 nm wavelength fitting window with correction for GOME-2 slit function variations is used to determine the NO2 slant column density. The STRatospheric Estimation Algorithm from Mainz (STREAM) is applied to determine the stratospheric column density of NO2. A new surface Lambertian equivalent reflectance (LER) climatology based on GOME-2 observations is used for the calculation of the air mass factor (AMF). Examples of the retrieved GOME-2 total and tropospheric NO2 columns are shown for Europe and Asia.

Item URL in elib:https://elib.dlr.de/106129/
Document Type:Conference or Workshop Item (Poster)
Additional Information:Proceeding on CD: posters/patmo_81_Liu
Title:An improved total and tropospheric NO2 column retrieval for GOME-2
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Liu, SongSong.Liu (at) dlr.deUNSPECIFIED
Valks, PieterPieter.Valks (at) dlr.deUNSPECIFIED
Pinardi, GaiaBelgian Institute for Space AeronomyUNSPECIFIED
Smedt, Isabelle DeBelgian Institute for Space AeronomyUNSPECIFIED
Yu, HuanBelgian Institute for Space AeronomyUNSPECIFIED
Beirle, SteffenMPI for Chemistry, MainzUNSPECIFIED
Journal or Publication Title:Proceedings of Living Planet Symposium 2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-6
EditorsEmailEditor's ORCID iD
Publisher:ESA Communications
Keywords:NO2, GOME-2, algorithm
Event Title:Living Planet Symposium 2016 - ESA
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:9-13 May 2016
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: Liu, Song
Deposited On:19 Sep 2016 15:58
Last Modified:31 Jul 2019 20:03

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