CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes
Recent advances in satellite observations of methane provide increased opportunities for inverse modeling. However, challenges exist in the satellite observation optimization and retrievals for high latitudes. In this study, we examine possibilities and challenges in the use of the total column aver...
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Online Access: | https://publikationen.bibliothek.kit.edu/1000160377 https://publikationen.bibliothek.kit.edu/1000160377/150983628 https://doi.org/10.5445/IR/1000160377 |
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ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000160377 2023-11-12T04:17:03+01:00 CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes Tsuruta, Aki Kivimäki, Ella Lindqvist, Hannakaisa Karppinen, Tomi Backman, Leif Hakkarainen, Janne Schneising, Oliver Buchwitz, Michael Lan, Xin Kivi, Rigel Chen, Huilin Buschmann, Matthias Herkommer, Benedikt Notholt, Justus Roehl, Coleen Té, Yao Wunch, Debra Tamminen, Johanna Aalto, Tuula 2023-07-11 application/pdf https://publikationen.bibliothek.kit.edu/1000160377 https://publikationen.bibliothek.kit.edu/1000160377/150983628 https://doi.org/10.5445/IR/1000160377 eng eng MDPI info:eu-repo/semantics/altIdentifier/wos/000960639900001 info:eu-repo/semantics/altIdentifier/doi/10.3390/rs15061620 info:eu-repo/semantics/altIdentifier/issn/2072-4292 https://publikationen.bibliothek.kit.edu/1000160377 https://publikationen.bibliothek.kit.edu/1000160377/150983628 https://doi.org/10.5445/IR/1000160377 https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess Remote Sensing, 15 (6), Art.-Nr.: 1620 ISSN: 2072-4292 methane atmospheric inversion TROPOMI XCH4 northern high latitudes ddc:550 Earth sciences info:eu-repo/classification/ddc/550 doc-type:article Text info:eu-repo/semantics/article article info:eu-repo/semantics/publishedVersion 2023 ftubkarlsruhe https://doi.org/10.5445/IR/100016037710.3390/rs15061620 2023-10-15T22:09:28Z Recent advances in satellite observations of methane provide increased opportunities for inverse modeling. However, challenges exist in the satellite observation optimization and retrievals for high latitudes. In this study, we examine possibilities and challenges in the use of the total column averaged dry-air mole fractions of methane (XCH$_4$) data over land from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel 5 Precursor satellite in the estimation of CH4 fluxes using the CarbonTracker Europe-CH$_4$ (CTE-CH$_4$) atmospheric inverse model. We carry out simulations assimilating two retrieval products: Netherlands Institute for Space Research’s (SRON) operational and University of Bremen’s Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS). For comparison, we also carry out a simulation assimilating the ground-based surface data. Our results show smaller regional emissions in the TROPOMI inversions compared to the prior and surface inversion, although they are roughly within the range of the previous studies. The wetland emissions in summer and anthropogenic emissions in spring are lesser. The inversion results based on the two satellite datasets show many similarities in terms of spatial distribution and time series but also clear differences, especially in Canada, where CH$_4$ emission maximum is later, when the SRON’s operational data are assimilated. The TROPOMI inversions show higher CH$_4$ emissions from oil and gas production and coal mining from Russia and Kazakhstan. The location of hotspots in the TROPOMI inversions did not change compared to the prior, but all inversions indicated spatially more homogeneous high wetland emissions in northern Fennoscandia. In addition, we find that the regional monthly wetland emissions in the TROPOMI inversions do not correlate with the anthropogenic emissions as strongly as those in the surface inversion. The uncertainty estimates in the TROPOMI inversions are more homogeneous in space, and the regional ... Article in Journal/Newspaper Fennoscandia KITopen (Karlsruhe Institute of Technologie) Canada The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) |
institution |
Open Polar |
collection |
KITopen (Karlsruhe Institute of Technologie) |
op_collection_id |
ftubkarlsruhe |
language |
English |
topic |
methane atmospheric inversion TROPOMI XCH4 northern high latitudes ddc:550 Earth sciences info:eu-repo/classification/ddc/550 |
spellingShingle |
methane atmospheric inversion TROPOMI XCH4 northern high latitudes ddc:550 Earth sciences info:eu-repo/classification/ddc/550 Tsuruta, Aki Kivimäki, Ella Lindqvist, Hannakaisa Karppinen, Tomi Backman, Leif Hakkarainen, Janne Schneising, Oliver Buchwitz, Michael Lan, Xin Kivi, Rigel Chen, Huilin Buschmann, Matthias Herkommer, Benedikt Notholt, Justus Roehl, Coleen Té, Yao Wunch, Debra Tamminen, Johanna Aalto, Tuula CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes |
topic_facet |
methane atmospheric inversion TROPOMI XCH4 northern high latitudes ddc:550 Earth sciences info:eu-repo/classification/ddc/550 |
description |
Recent advances in satellite observations of methane provide increased opportunities for inverse modeling. However, challenges exist in the satellite observation optimization and retrievals for high latitudes. In this study, we examine possibilities and challenges in the use of the total column averaged dry-air mole fractions of methane (XCH$_4$) data over land from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel 5 Precursor satellite in the estimation of CH4 fluxes using the CarbonTracker Europe-CH$_4$ (CTE-CH$_4$) atmospheric inverse model. We carry out simulations assimilating two retrieval products: Netherlands Institute for Space Research’s (SRON) operational and University of Bremen’s Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS). For comparison, we also carry out a simulation assimilating the ground-based surface data. Our results show smaller regional emissions in the TROPOMI inversions compared to the prior and surface inversion, although they are roughly within the range of the previous studies. The wetland emissions in summer and anthropogenic emissions in spring are lesser. The inversion results based on the two satellite datasets show many similarities in terms of spatial distribution and time series but also clear differences, especially in Canada, where CH$_4$ emission maximum is later, when the SRON’s operational data are assimilated. The TROPOMI inversions show higher CH$_4$ emissions from oil and gas production and coal mining from Russia and Kazakhstan. The location of hotspots in the TROPOMI inversions did not change compared to the prior, but all inversions indicated spatially more homogeneous high wetland emissions in northern Fennoscandia. In addition, we find that the regional monthly wetland emissions in the TROPOMI inversions do not correlate with the anthropogenic emissions as strongly as those in the surface inversion. The uncertainty estimates in the TROPOMI inversions are more homogeneous in space, and the regional ... |
format |
Article in Journal/Newspaper |
author |
Tsuruta, Aki Kivimäki, Ella Lindqvist, Hannakaisa Karppinen, Tomi Backman, Leif Hakkarainen, Janne Schneising, Oliver Buchwitz, Michael Lan, Xin Kivi, Rigel Chen, Huilin Buschmann, Matthias Herkommer, Benedikt Notholt, Justus Roehl, Coleen Té, Yao Wunch, Debra Tamminen, Johanna Aalto, Tuula |
author_facet |
Tsuruta, Aki Kivimäki, Ella Lindqvist, Hannakaisa Karppinen, Tomi Backman, Leif Hakkarainen, Janne Schneising, Oliver Buchwitz, Michael Lan, Xin Kivi, Rigel Chen, Huilin Buschmann, Matthias Herkommer, Benedikt Notholt, Justus Roehl, Coleen Té, Yao Wunch, Debra Tamminen, Johanna Aalto, Tuula |
author_sort |
Tsuruta, Aki |
title |
CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes |
title_short |
CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes |
title_full |
CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes |
title_fullStr |
CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes |
title_full_unstemmed |
CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes |
title_sort |
ch$_4$ fluxes derived from assimilation of tropomi xch$_4$ in carbontracker europe-ch$_4$: evaluation of seasonality and spatial distribution in the northern high latitudes |
publisher |
MDPI |
publishDate |
2023 |
url |
https://publikationen.bibliothek.kit.edu/1000160377 https://publikationen.bibliothek.kit.edu/1000160377/150983628 https://doi.org/10.5445/IR/1000160377 |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Canada The Sentinel |
geographic_facet |
Canada The Sentinel |
genre |
Fennoscandia |
genre_facet |
Fennoscandia |
op_source |
Remote Sensing, 15 (6), Art.-Nr.: 1620 ISSN: 2072-4292 |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/000960639900001 info:eu-repo/semantics/altIdentifier/doi/10.3390/rs15061620 info:eu-repo/semantics/altIdentifier/issn/2072-4292 https://publikationen.bibliothek.kit.edu/1000160377 https://publikationen.bibliothek.kit.edu/1000160377/150983628 https://doi.org/10.5445/IR/1000160377 |
op_rights |
https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5445/IR/100016037710.3390/rs15061620 |
_version_ |
1782334038812393472 |