Methane budget estimates in Finland from the CarbonTracker Europe-CH₄ data assimilation system

• Published in: Tellus B: Chemical and Physical Meteorology
• Main 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.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Taylor & Francis 2019
• Subjects: 530 Physics; Sodankylä
• Online Access: https://boris.unibe.ch/135335/1/tsuruta19tel.pdf; https://boris.unibe.ch/135335/

We estimated the CH₄ budget in Finland for 2004–2014 using the CTE-CH₄ data assimilation system with anextended 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 CH₄yr⁻¹. Sensitivity experiments show that the posterior biosphericemission 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 ismore 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°x1° in this case) optimization is possible with a dense observation network.