%ASalmon, Elodie%AJégou, Fabrice%AGuenet, Bertrand%AJourdain, Line%AQiu, Chunjing%ABastrikov, Vladislav%AGuimbaud, Christophe%AZhu, Dan%ACiais, Philippe%APeylin, Philippe%AGogo, Sébastien%ALaggoun-Défarge, Fatima%AAurela, Mika%ABret-Harte, M.%AChen, Jiquan%AChojnicki, Bogdan%AChu, Housen%AEdgar, Colin%AEuskirchen, Eugenie%AFlanagan, Lawrence%AFortuniak, Krzysztof%AHoll, David%AKlatt, Janina%AKolle, Olaf%AKowalska, Natalia%AKutzbach, Lars%ALohila, Annalea%AMerbold, Lutz%APawlak, Włodzimierz%ASachs, Torsten%AZiemblińska, Klaudia%BJournal Name: Geoscientific Model Development; Journal Volume: 15; Journal Issue: 7 %D2022%I %JJournal Name: Geoscientific Model Development; Journal Volume: 15; Journal Issue: 7 %K %MOSTI ID: 10330290 %PMedium: X %TAssessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 %XAbstract. In the global methane budget, the largest natural sourceis attributed to wetlands, which encompass all ecosystems composed ofwaterlogged or inundated ground, capable of methane production. Among them,northern peatlands that store large amounts of soil organic carbon have beenfunctioning, since the end of the last glaciation period, as long-termsources of methane (CH4) and are one of the most significant methanesources among wetlands. To reduce uncertainty of quantifying methane flux in theglobal methane budget, it is of significance to understand the underlyingprocesses for methane production and fluxes in northern peatlands. A methanemodel that features methane production and transport by plants, ebullitionprocess and diffusion in soil, oxidation to CO2, and CH4 fluxes tothe atmosphere has been embedded in the ORCHIDEE-PEAT land surface modelthat includes an explicit representation of northern peatlands.ORCHIDEE-PCH4 was calibrated and evaluated on 14 peatland sites distributedon both the Eurasian and American continents in the northern boreal andtemperate regions. Data assimilation approaches were employed to optimizedparameters at each site and at all sites simultaneously. Results show thatmethanogenesis is sensitive to temperature and substrate availability overthe top 75 cm of soil depth. Methane emissions estimated using single siteoptimization (SSO) of model parameters are underestimated by 9 g CH4 m−2 yr−1 on average (i.e., 50 % higher than the site average ofyearly methane emissions). While using the multi-site optimization (MSO),methane emissions are overestimated by 5 g CH4 m−2 yr−1 onaverage across all investigated sites (i.e., 37 % lower than the siteaverage of yearly methane emissions). %0Journal Article