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

Liu, Song and Valks, Pieter and Pinardi, Gaia and De Smedt, Isabelle and Yu, Huan and Beirle, Steffen (2017) An improved total and tropospheric NO2 column retrieval for GOME-2. DPG-Frühjahrstagung 2017, 13.-17. März 2017, Bremen, Germany.

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Abstract

This work 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. For the calculation of the air mass factor (AMF), a new surface Lambertian equivalent reflectance (LER) climatology based on GOME-2 observations and the IMAGES a priori NO2 profile are used. 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/115323/
Document Type:Conference or Workshop Item (Speech)
Title:An improved total and tropospheric NO2 column retrieval for GOME-2
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Liu, SongSong.Liu (at) dlr.deUNSPECIFIED
Valks, PieterPieter.Valks (at) dlr.deUNSPECIFIED
Pinardi, Gaiabelgian institute for space aeronomyUNSPECIFIED
De Smedt, Isabellebira/iasbUNSPECIFIED
Yu, Huanbelgian institute for space aeronomyUNSPECIFIED
Beirle, Steffenmpi for chemistry, mainzUNSPECIFIED
Date:March 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:GOME-2 NO2 algorithm
Event Title:DPG-Frühjahrstagung 2017
Event Location:Bremen, Germany
Event Type:international Conference
Event Dates:13.-17. März 2017
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 Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Liu, Song
Deposited On:20 Nov 2017 10:23
Last Modified:31 Jul 2019 20:12

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