WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia (discussion paper)

• Main Authors: Bohn, TJ, Melton, JR, Ito, A, Kleinen, T, Spahni, R, Stocker, BD, Zhang, B, Zhu, X, Schroeder., R, Glagolev, MV, Maksyutov, S, Brovkin, Victor, Chen, G, Denisov, SN, Eliseev, SN, Gallego-Sala, Angela V., Mcdonald, KC, Rawlins, MA, Riley, WJ, Subin, ZM, Tian, H, Zhuang, Q, Kaplan, JO
• Format: Article in Journal/Newspaper
• Language: English
• Published: European Geosciences Union (EGU) 2015
• Subjects: permafrost; Siberia
• Online Access: http://hdl.handle.net/10871/17199; https://doi.org/10.5194/bgd-12-1907-2015

Article © Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License. This discussion paper has been under review for the journal Biogeosciences (BG). Please refer to the corresponding final paper in BG (see http://hdl.handle.net/10871/18995 in ORE) Wetlands are the world's largest natural source of methane, a powerful greenhouse gas. The strong sensitivity of methane emissions to environmental factors such as soil temperature and moisture has led to concerns about potential positive feedbacks to climate change. This risk is particularly relevant at high latitudes, which have experienced pronounced warming and where thawing permafrost could potentially liberate large amounts of labile carbon over the next 100 years. However, global models disagree as to the magnitude and spatial distribution of emissions, due to uncertainties in wetland area and emissions per unit area and a scarcity of in situ observations. Recent intensive field campaigns across the West Siberian Lowland (WSL) make this an ideal region over which to assess the performance of large-scale process-based wetland models in a high-latitude environment. Here we present the results of a follow-up to the Wetland and Wetland CH4 Intercomparison of Models Project (WETCHIMP), focused on the West Siberian Lowland (WETCHIMP-WSL). We assessed 21 models and 5 inversions over this domain in terms of total CH4 emissions, simulated wetland areas, and CH4 fluxes per unit wetland area and compared these results to an intensive in situ CH4 flux dataset, several wetland maps, and two satellite inundation products. We found that: (a) despite the large scatter of individual estimates, 12 year mean estimates of annual total emissions over the WSL from forward models (5.34 ± 0.54 Tg CH4 y-1), inversions (6.06 ± 1.22 Tg CH4 y-1), and in situ observations (3.91 ± 1.29 Tg CH4 y-1) largely agreed, (b) forward models using inundation products alone to estimate wetland areas suffered from severe biases in CH4 emissions, (c) the ...