Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system. Issue 1 (1st January 2019)
- Record Type:
- Journal Article
- Title:
- Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system. Issue 1 (1st January 2019)
- Main Title:
- Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system
- Authors:
- Tsuruta, Aki
Aalto, Tuula
Backman, Leif
Krol, Maarten C.
Peters, Wouter
Lienert, Sebastian
Joos, Fortunat
Miller, Paul A.
Zhang, Wenxin
Laurila, Tuomas
Hatakka, Juha
Leskinen, Ari
Lehtinen, Kari E. J.
Peltola, Olli
Vesala, Timo
Levula, Janne
Dlugokencky, Ed
Heimann, Martin
Kozlova, Elena
Aurela, Mika
Lohila, Annalea
Kauhaniemi, Mari
Gomez-Pelaez, Angel J. - Abstract:
- Abstract: We estimated the CH4 budget in Finland for 2004–2014 using the CTE-CH4 data assimilation system with an extended atmospheric CH4 observation network of seven sites from Finland to surrounding regions (Hyytiälä, Kjølnes, Kumpula, Pallas, Puijo, Sodankylä, and Utö). The estimated average annual total emission for Finland is 0.6 ± 0.5 Tg CH4 yr −1 . Sensitivity experiments show that the posterior biospheric emission estimates for Finland are between 0.3 and 0.9 Tg CH4 yr −1, which lies between the LPX-Bern-DYPTOP (0.2 Tg CH4 yr −1 ) and LPJG-WHyMe (2.2 Tg CH4 yr −1 ) process-based model estimates. For anthropogenic emissions, we found that the EDGAR v4.2 FT2010 inventory (0.4 Tg CH4 yr −1 ) is likely to overestimate emissions in southernmost Finland, but the extent of overestimation and possible relocation of emissions are difficult to derive from the current observation network. The posterior emission estimates were especially reliant on prior information in central Finland. However, based on analysis of posterior atmospheric CH4, we found that the anthropogenic emission distribution based on a national inventory is more reliable than the one based on EDGAR v4.2 FT2010. The contribution of total emissions in Finland to global total emissions is only about 0.13%, and the derived total emissions in Finland showed no trend during 2004–2014. The model using optimized emissions was able to reproduce observed atmospheric CH4 at the sites in Finland and surrounding regionsAbstract: We estimated the CH4 budget in Finland for 2004–2014 using the CTE-CH4 data assimilation system with an extended atmospheric CH4 observation network of seven sites from Finland to surrounding regions (Hyytiälä, Kjølnes, Kumpula, Pallas, Puijo, Sodankylä, and Utö). The estimated average annual total emission for Finland is 0.6 ± 0.5 Tg CH4 yr −1 . Sensitivity experiments show that the posterior biospheric emission estimates for Finland are between 0.3 and 0.9 Tg CH4 yr −1, which lies between the LPX-Bern-DYPTOP (0.2 Tg CH4 yr −1 ) and LPJG-WHyMe (2.2 Tg CH4 yr −1 ) process-based model estimates. For anthropogenic emissions, we found that the EDGAR v4.2 FT2010 inventory (0.4 Tg CH4 yr −1 ) is likely to overestimate emissions in southernmost Finland, but the extent of overestimation and possible relocation of emissions are difficult to derive from the current observation network. The posterior emission estimates were especially reliant on prior information in central Finland. However, based on analysis of posterior atmospheric CH4, we found that the anthropogenic emission distribution based on a national inventory is more reliable than the one based on EDGAR v4.2 FT2010. The contribution of total emissions in Finland to global total emissions is only about 0.13%, and the derived total emissions in Finland showed no trend during 2004–2014. The model using optimized emissions was able to reproduce observed atmospheric CH4 at the sites in Finland and surrounding regions fairly well (correlation > 0.75, bias < ± 7 ppb), supporting adequacy of the observations to be used in atmospheric inversion studies. In addition to global budget estimates, we found that CTE-CH4 is also applicable for regional budget estimates, where small scale (1 ° × 1 ° in this case) optimization is possible with a dense observation network. … (more)
- Is Part Of:
- Tellus. Volume 71:Issue 1(2019)
- Journal:
- Tellus
- Issue:
- Volume 71:Issue 1(2019)
- Issue Display:
- Volume 71, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 71
- Issue:
- 1
- Issue Sort Value:
- 2019-0071-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-01-01
- Subjects:
- CH4 flux -- atmospheric CH4 -- Finland -- data assimilation -- flux estimation
Atmospheric chemistry -- Periodicals
Atmospheric physics -- Periodicals
Meteorology -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
Chimie de l'atmosphère -- Périodiques
Météorologie physique -- Périodiques
Météorologie -- Périodiques
Air -- Pollution -- Meteorological aspects
Atmospheric chemistry
Atmospheric physics
Meteorology
Meteorologie
Chimie de l'atmosphère
Météorologie physique
Météorologie
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Electronic journals
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551.505 - Journal URLs:
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http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0889 ↗
https://www.tandfonline.com/toc/zelb20/current ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1080/16000889.2018.1565030 ↗
- Languages:
- English
- ISSNs:
- 0280-6509
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- Legaldeposit
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