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Tropospheric trace gas retrievals from TROPOMI/Sentinel-5P

Valks, P. and Liu, Song and Chan, Ka Lok and Hedelt, Pascal and Lutz, Ronny and Argyrouli, Athina and Loyola, Diego and De Smedt, Isabelle and Pinardi, Gaia and Theys, N. and Yu, Huan and Van Roozendael, M. and Beirle, Steffen (2019) Tropospheric trace gas retrievals from TROPOMI/Sentinel-5P. International Symposium on Geoinformatics and Big Remote Sensing Data, 2019-10-27 - 2019-10-29, Xuzhou, China.

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Abstract

This presentation focuses on tropospheric NO2 and ozone products from TROPOMI/Sentinel-5P as developed at the Remote Sensing Technology institute of the German Aerospace Center (DLR). We present an overview of the retrieval algorithms and show examples of air quality applications. The retrieval of tropospheric NO2 columns from TROPOMI uses an Differential Optical Absorption Spectroscopy (DOAS) algorithm with air mass factor conversions calculated using the LIDORT model. First, total NO2 slant column densities are determined using the DOAS method in the visible wavelength region (405-465 nm). Then the STRatospheric Estimation Algorithm from Mainz (STREAM) is applied to separate the stratospheric and tropospheric contribution. Finally, the tropospheric slant column is converted into a vertical column using a tropospheric AMF based on a priori NO2 profiles from the TM5-MP chemistry transport model. A cloud correction is applied based on TROPOMI cloud properties as derived by the OCRA and ROCINN algorithms. The tropospheric ozone columns are derived from total columns from TROPOMI and stratospheric columns based on 4D-Var assimilation of Aura MLS ozone profiles. The total ozone columns are determined from TROPOMI with a two step DOAS approach, consisting of a slant column retrieval in the UV wavelength region around 330 nm, and an iterative AMF-calculation using the LIDORT model. MLS profiles are assimilated by the Belgian Assimilation System for Chemical ObsErvations (BASCOE) and are delivered with a time frequency of 3 hours. BASCOE stratospheric columns are interpolated linearly in time and space to TROPOMI total column locations before subtraction. To avoid potential errors we only use cloud free TROPOMI data. The use of one and a half year of Sentinel-5P measurements for air quality applications will be illustrated for Europe and China. Furthermore, we show comparisons of the TROPOMI NO2 data with ground-based MAX-DOAS and GOME-2 satellite measurements; the tropospheric ozone columns from TROPOMI are compared to ozone sonde data and OMPS satellite measurements.

Item URL in elib:https://elib.dlr.de/131726/
Document Type:Conference or Workshop Item (Speech)
Title:Tropospheric trace gas retrievals from TROPOMI/Sentinel-5P
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Valks, P.UNSPECIFIEDhttps://orcid.org/0000-0002-2846-7863UNSPECIFIED
Liu, SongUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chan, Ka LokUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hedelt, PascalUNSPECIFIEDhttps://orcid.org/0000-0002-1752-0040UNSPECIFIED
Lutz, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-7215-3642UNSPECIFIED
Argyrouli, AthinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Loyola, DiegoUNSPECIFIEDhttps://orcid.org/0000-0002-8547-9350UNSPECIFIED
De Smedt, IsabelleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pinardi, GaiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Theys, N.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yu, HuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Van Roozendael, M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Beirle, SteffenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:satellite, Sentinel-5P, TROPOMI, NO2, ozone, air quality, retrieval
Event Title:International Symposium on Geoinformatics and Big Remote Sensing Data
Event Location:Xuzhou, China
Event Type:international Conference
Event Start Date:27 October 2019
Event End Date:29 October 2019
Organizer:China University of Mining and Technology
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 - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Valks, Dr. Pieter
Deposited On:04 Dec 2019 10:18
Last Modified:24 Apr 2024 20:35

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