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A Bayesian framework for deriving sector-based methane emissions from top-down fluxes

Authors :
Daniel H. Cusworth
A. Anthony Bloom
Shuang Ma
Charles E. Miller
Kevin Bowman
Yi Yin
Joannes D. Maasakkers
Yuzhong Zhang
Tia R. Scarpelli
Zhen Qu
Daniel J. Jacob
John R. Worden
Source :
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-8 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Sector-based methane emissions can be backed out from observed methane fluxes, using a Bayesian optimal estimation method. This could help with monitoring gas leaks from industry.

Details

Language :
English
ISSN :
26624435
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Earth & Environment
Publication Type :
Academic Journal
Accession number :
edsdoj.9d91fee2d5940069628739e0d45077b
Document Type :
article
Full Text :
https://doi.org/10.1038/s43247-021-00312-6