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Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5 Precursor: first results

Fioletov, Vitali and McLinden, Chris and Griffin, Debora and Theys, Nicolas and Loyola, Diego and Hedelt, Pascal and Krotkov, Nickolay and Li, Can (2020) Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5 Precursor: first results. Atmospheric Chemistry and Physics (ACP), 20 (9), pp. 5591-5607. Copernicus Publications. DOI: 10.5194/acp-20-5591-2020 ISSN 1680-7316

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Official URL: https://www.atmos-chem-phys.net/20/5591/2020/

Abstract

The paper introduces the first TROPOMI-based sulfur dioxide (SO2) emissions estimates for point sources. A total of about 500 continuously emitting point sources releasing about 10 kt yr−1 to more than 2000 kt yr−1 of SO2, previously identified from Ozone Monitoring Instrument (OMI) observations, were analyzed using TROPOMI (TROPOspheric Monitoring Instrument) measurements for 1 full year from April 2018 to March 2019. The annual emissions from these sources were estimated and compared to similar estimates from OMI and Ozone Mapping Profiling Suite (OMPS) measurements. Note that emissions from many of these 500 sources have declined significantly since 2005, making their quantification more challenging. We were able to identify 274 sources where annual emissions are significant and can be reliably estimated from TROPOMI. The standard deviations of TROPOMI vertical column density data, about 1 Dobson unit (DU, where 1 DU =2.69×1016 molecules cm−2) over the tropics and 1.5 DU over high latitudes, are larger than those of OMI (0.6–1 DU) and OMPS (0.3–0.4 DU). Due to its very high spatial resolution, TROPOMI produces 12–20 times more observations over a certain area than OMI and 96 times more than OMPS. Despite higher uncertainties of individual TROPOMI observations, TROPOMI data averaged over a large area have roughly 2–3 times lower uncertainties compared to OMI and OMPS data. Similarly, TROPOMI annual emissions can be estimated with uncertainties that are 1.5–2 times lower than the uncertainties of annual emissions estimates from OMI. While there are area biases in TROPOMI data over some regions that have to be removed from emission calculations, the absolute magnitude of these are modest, typically within ±0.25 DU, which can be comparable with SO2 values over large sources.

Item URL in elib:https://elib.dlr.de/134899/
Document Type:Article
Title:Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5 Precursor: first results
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fioletov, VitaliEnvironment Climate Change Canada, Toronto, Ontario, Canadahttps://orcid.org/0000-0002-2731-5956
McLinden, ChrisEnvironment Climate Change Canada, Toronto, Ontario, Canadahttps://orcid.org/0000-0001-5054-1380
Griffin, DeboraEnvironment Climate Change Canada, Toronto, Ontario, Canadahttps://orcid.org/0000-0002-4849-9125
Theys, NicolasBelgian Institute for Space Aeronomy, Brussels, BelgiumUNSPECIFIED
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Hedelt, PascalPascal.Hedelt (at) dlr.dehttps://orcid.org/0000-0002-1752-0040
Krotkov, NickolayUniv. of Maryland at Baltimore County, Baltimore, MD USAhttps://orcid.org/0000-0001-6170-6750
Li, CanNASA Goddard Space Flight Center, Greenbelt, MD 20771, USAUNSPECIFIED
Date:13 May 2020
Journal or Publication Title:Atmospheric Chemistry and Physics (ACP)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:20
DOI :10.5194/acp-20-5591-2020
Page Range:pp. 5591-5607
Publisher:Copernicus Publications
ISSN:1680-7316
Status:Published
Keywords:TROPOMI, S5P, SO2, Volcanoes, Anthropogenic emissions
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):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Hedelt, Pascal
Deposited On:26 May 2020 09:48
Last Modified:26 May 2020 09:48

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