The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates

The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates

<p>We use optimal estimation (OE) to quantify methane fluxes based on total column CH<span class="inline-formula"><sub>4</sub></span> data from the Greenhouse Gases Observing Satellite (GOSAT) and the GEOS-Chem global chemistry transport model. We then project...

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Bibliographic Details
Main Authors: J. R. Worden, D. H. Cusworth, Z. Qu, Y. Yin, Y. Zhang, A. A. Bloom, S. Ma, B. K. Byrne, T. Scarpelli, J. D. Maasakkers, D. Crisp, R. Duren, D. J. Jacob
Format: Article
Language:English
Published: Copernicus Publications 2022-05-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/22/6811/2022/acp-22-6811-2022.pdf

Internet

https://acp.copernicus.org/articles/22/6811/2022/acp-22-6811-2022.pdf

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