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?
Abstract. 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 assi...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , , |
Language: | unknown |
Published: |
2022
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Subjects: | |
Online Access: | http://www.osti.gov/servlets/purl/1465820 https://www.osti.gov/biblio/1465820 https://doi.org/10.5194/acp-16-12649-2016 |