Evaluating atmospheric methane inversion model results for Pallas, northern Finland
A state-of-the-art inverse model, CarbonTracker Data Assimilation Shell (CTDAS), was used to optimize estimates of methane (CH4) surface fluxes using atmospheric observations of CH4 as a constraint. The model consists of the latest version of the TM5 atmospheric chemistry-transport model and an ense...
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ftunivutrecht:oai:dspace.library.uu.nl:1874/326999 2023-11-12T04:23:14+01:00 Evaluating atmospheric methane inversion model results for Pallas, northern Finland Tsuruta, Aki Aalto, Tuula Backman, Leif Peters, Wouter Krol, Maarten van der Laan-Luijkx, Ingrid T. Hatakka, Juha Heikkinen, Pauli Dlugokencky, Edward J. Spahni, Renato Paramonova, Nina N. Marine and Atmospheric Research 2015-08 image/pdf https://dspace.library.uu.nl/handle/1874/326999 en eng 1239-6095 https://dspace.library.uu.nl/handle/1874/326999 info:eu-repo/semantics/OpenAccess DATA ASSIMILATION SYSTEM CARBON-DIOXIDE EXCHANGE GLOBAL METHANE TRANSPORT MODEL MIXING-RATIO 2 DECADES EMISSIONS CH4 CO2 AIR Article 2015 ftunivutrecht 2023-11-01T23:13:19Z A state-of-the-art inverse model, CarbonTracker Data Assimilation Shell (CTDAS), was used to optimize estimates of methane (CH4) surface fluxes using atmospheric observations of CH4 as a constraint. The model consists of the latest version of the TM5 atmospheric chemistry-transport model and an ensemble Kalman filter based data assimilation system. The model was constrained by atmospheric methane surface concentrations, obtained from the World Data Centre for Greenhouse Gases (WDCGG). Prior methane emissions were specified for five sources: biosphere, anthropogenic, fire, termites and ocean, of which biosphere and anthropogenic emissions were optimized. Atmospheric CH4 mole fractions for 2007 from northern Finland calculated from prior and optimized emissions were compared with observations. It was found that the root mean squared errors of the posterior estimates were more than halved. Furthermore, inclusion of NOAA observations of CH, from weekly discrete air samples collected at Pallas improved agreement between posterior CH4 mole fraction estimates and continuous observations, and resulted in reducing optimized biosphere emissions and their uncertainties in northern Finland. Article in Journal/Newspaper Northern Finland Utrecht University Repository |
institution |
Open Polar |
collection |
Utrecht University Repository |
op_collection_id |
ftunivutrecht |
language |
English |
topic |
DATA ASSIMILATION SYSTEM CARBON-DIOXIDE EXCHANGE GLOBAL METHANE TRANSPORT MODEL MIXING-RATIO 2 DECADES EMISSIONS CH4 CO2 AIR |
spellingShingle |
DATA ASSIMILATION SYSTEM CARBON-DIOXIDE EXCHANGE GLOBAL METHANE TRANSPORT MODEL MIXING-RATIO 2 DECADES EMISSIONS CH4 CO2 AIR Tsuruta, Aki Aalto, Tuula Backman, Leif Peters, Wouter Krol, Maarten van der Laan-Luijkx, Ingrid T. Hatakka, Juha Heikkinen, Pauli Dlugokencky, Edward J. Spahni, Renato Paramonova, Nina N. Evaluating atmospheric methane inversion model results for Pallas, northern Finland |
topic_facet |
DATA ASSIMILATION SYSTEM CARBON-DIOXIDE EXCHANGE GLOBAL METHANE TRANSPORT MODEL MIXING-RATIO 2 DECADES EMISSIONS CH4 CO2 AIR |
description |
A state-of-the-art inverse model, CarbonTracker Data Assimilation Shell (CTDAS), was used to optimize estimates of methane (CH4) surface fluxes using atmospheric observations of CH4 as a constraint. The model consists of the latest version of the TM5 atmospheric chemistry-transport model and an ensemble Kalman filter based data assimilation system. The model was constrained by atmospheric methane surface concentrations, obtained from the World Data Centre for Greenhouse Gases (WDCGG). Prior methane emissions were specified for five sources: biosphere, anthropogenic, fire, termites and ocean, of which biosphere and anthropogenic emissions were optimized. Atmospheric CH4 mole fractions for 2007 from northern Finland calculated from prior and optimized emissions were compared with observations. It was found that the root mean squared errors of the posterior estimates were more than halved. Furthermore, inclusion of NOAA observations of CH, from weekly discrete air samples collected at Pallas improved agreement between posterior CH4 mole fraction estimates and continuous observations, and resulted in reducing optimized biosphere emissions and their uncertainties in northern Finland. |
author2 |
Marine and Atmospheric Research |
format |
Article in Journal/Newspaper |
author |
Tsuruta, Aki Aalto, Tuula Backman, Leif Peters, Wouter Krol, Maarten van der Laan-Luijkx, Ingrid T. Hatakka, Juha Heikkinen, Pauli Dlugokencky, Edward J. Spahni, Renato Paramonova, Nina N. |
author_facet |
Tsuruta, Aki Aalto, Tuula Backman, Leif Peters, Wouter Krol, Maarten van der Laan-Luijkx, Ingrid T. Hatakka, Juha Heikkinen, Pauli Dlugokencky, Edward J. Spahni, Renato Paramonova, Nina N. |
author_sort |
Tsuruta, Aki |
title |
Evaluating atmospheric methane inversion model results for Pallas, northern Finland |
title_short |
Evaluating atmospheric methane inversion model results for Pallas, northern Finland |
title_full |
Evaluating atmospheric methane inversion model results for Pallas, northern Finland |
title_fullStr |
Evaluating atmospheric methane inversion model results for Pallas, northern Finland |
title_full_unstemmed |
Evaluating atmospheric methane inversion model results for Pallas, northern Finland |
title_sort |
evaluating atmospheric methane inversion model results for pallas, northern finland |
publishDate |
2015 |
url |
https://dspace.library.uu.nl/handle/1874/326999 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
1239-6095 https://dspace.library.uu.nl/handle/1874/326999 |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1782338072909709312 |