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?
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...
Main Authors: | , , , , , , , , |
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Format: | Text |
Language: | unknown |
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CU Scholar
2016
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Online Access: | https://scholar.colorado.edu/mcen_facpapers/9 https://scholar.colorado.edu/cgi/viewcontent.cgi?article=1012&context=mcen_facpapers |