Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models?

• Published in: Atmospheric Chemistry and Physics
• Main Authors: Tan, Zeli, Zhuang, Qianlai, Henze, Daven K., Frankenberg, Christian, Dlugokencky, Ed, Sweeney, Colm, Turner, Alexander J., Sasakawa, Motoki, Machida, Toshinobu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2016
• Subjects: article; Verlagsveröffentlichung; Arctic; High Lake; arctic methane
• Online Access: https://doi.org/10.5194/acp-16-12649-2016; https://noa.gwlb.de/receive/cop_mods_00043115; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042735/acp-16-12649-2016.pdf; https://acp.copernicus.org/articles/16/12649/2016/acp-16-12649-2016.pdf

Understanding methane emissions from the Arctic, a fast-warming carbon reservoir, is important for projecting future changes in the global methane cycle. Here we optimized methane emissions from north of 60° N (pan-Arctic) regions using a nested-grid high-resolution inverse model that assimilates bo...