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Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry--climate model MECO(n) (MESSy v2.53)

Nickl, Anna-Leah and Mertens, Mariano and Roiger, Anke and Fix, Andreas and Amediek, Axel and Fiehn, Alina and Gerbig, Christoph and Galkowski, Michal and Kerkweg, Astrid and Klausner, Theresa and Eckl, Maximilian and Jöckel, Patrick (2020) Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry--climate model MECO(n) (MESSy v2.53). Geoscientific Model Development, 13 (4), pp. 1925-1943. Copernicus Publications. DOI: 10.5194/gmd-13-1925-2020 ISSN 1991-959X

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Official URL: https://www.geosci-model-dev.net/13/1925/2020/

Abstract

Methane is the second most important greenhouse gas in terms of anthropogenic radiative forcing. Since pre-industrial times, the globally averaged dry mole fraction of methane in the atmosphere has increased considerably. Emissions from coal mining are one of the primary anthropogenic methane sources. However, our knowledge about different sources and sinks of methane is still subject to great uncertainties. Comprehensive measurement campaigns and reliable chemistry–climate models, are required to fully understand the global methane budget and to further develop future climate mitigation strategies. The CoMet 1.0 campaign (May to June 2018) combined airborne in situ, as well as passive and active remote sensing measurements to quantify the emissions from coal mining in the Upper Silesian Coal Basin (USCB, Poland). Roughly 502 kt of methane is emitted from the ventilation shafts per year. In order to help with the flight planning during the campaigns, we performed 6 d forecasts using the online coupled, three-time nested global and regional chemistry–climate model MECO(n). We applied three-nested COSMO/MESSy instances going down to a spatial resolution of 2.8 km over the USCB. The nested global–regional model system allows for the separation of local emission contributions from fluctuations in the background methane. Here, we introduce the forecast set-up and assess the impact of the model's spatial resolution on the simulation of methane plumes from the ventilation shafts. Uncertainties in simulated methane mixing ratios are estimated by comparing different airborne measurements to the simulations. Results show that MECO(3) is able to simulate the observed methane plumes and the large-scale patterns (including vertically integrated values) reasonably well. Furthermore, we obtain reasonable forecast results up to forecast day four.

Item URL in elib:https://elib.dlr.de/134688/
Document Type:Article
Title:Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry--climate model MECO(n) (MESSy v2.53)
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Nickl, Anna-LeahDLR, IPAhttps://orcid.org/0000-0003-3549-6889
Mertens, MarianoDLR, IPAUNSPECIFIED
Roiger, AnkeDLR, IPAUNSPECIFIED
Fix, AndreasDLR, IPAhttps://orcid.org/0000-0003-2818-9290
Amediek, AxelDLR, IPAhttps://orcid.org/0000-0002-5076-1559
Fiehn, AlinaDLR, IPAUNSPECIFIED
Gerbig, ChristophMax-Planck-Institut für Biogeochemie, Jenahttps://orcid.org/0000-0002-1112-8603
Galkowski, MichalMax-Planck-Institut für Biogeochemie, Jenahttps://orcid.org/0000-0003-1681-3965
Kerkweg, AstridFZ Jülichhttps://orcid.org/0000-0002-8378-3498
Klausner, TheresaDLR, IPAhttps://orcid.org/0000-0002-1792-6649
Eckl, MaximilianDLR, IPAUNSPECIFIED
Jöckel, PatrickDLR, IPAhttps://orcid.org/0000-0002-8964-1394
Date:16 April 2020
Journal or Publication Title:Geoscientific Model Development
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.5194/gmd-13-1925-2020
Page Range:pp. 1925-1943
Publisher:Copernicus Publications
ISSN:1991-959X
Status:Published
Keywords:methane, EMAC, MECO(n), MESSy, coal mines, ventilation shafts, CoMet1.0, emissions, modelling, forecast, hindcast
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 - Project Climatic relevance of atmospheric tracer gases, aerosols and clouds, R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Modelling
Institute of Atmospheric Physics > Atmospheric Trace Species
Institute of Atmospheric Physics > Lidar
Institute of Atmospheric Physics
Deposited By: Jöckel, Dr. Patrick
Deposited On:04 May 2020 17:59
Last Modified:04 May 2020 17:59

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