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

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.

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Geology QE1-996.5 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e9d91fee2d5940069628739e0d45077b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e9d91fee2d5940069628739e0d45077b
record_format	dspace
spelling	oai:doaj.org-article:e9d91fee2d5940069628739e0d45077b2021-11-28T12:10:57ZA Bayesian framework for deriving sector-based methane emissions from top-down fluxes10.1038/s43247-021-00312-62662-4435https://doaj.org/article/e9d91fee2d5940069628739e0d45077b2021-11-01T00:00:00Zhttps://doi.org/10.1038/s43247-021-00312-6https://doaj.org/toc/2662-4435Sector-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.Daniel H. CusworthA. Anthony BloomShuang MaCharles E. MillerKevin BowmanYi YinJoannes D. MaasakkersYuzhong ZhangTia R. ScarpelliZhen QuDaniel J. JacobJohn R. WordenNature PortfolioarticleGeologyQE1-996.5Environmental sciencesGE1-350ENCommunications Earth & Environment, Vol 2, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geology QE1-996.5 Environmental sciences GE1-350
spellingShingle	Geology QE1-996.5 Environmental sciences GE1-350 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 A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
description	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.
format	article
author	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
author_facet	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
author_sort	Daniel H. Cusworth
title	A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
title_short	A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
title_full	A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
title_fullStr	A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
title_full_unstemmed	A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
title_sort	bayesian framework for deriving sector-based methane emissions from top-down fluxes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e9d91fee2d5940069628739e0d45077b
work_keys_str_mv	AT danielhcusworth abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT aanthonybloom abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT shuangma abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT charlesemiller abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT kevinbowman abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT yiyin abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT joannesdmaasakkers abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT yuzhongzhang abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT tiarscarpelli abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT zhenqu abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT danieljjacob abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT johnrworden abayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT danielhcusworth bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT aanthonybloom bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT shuangma bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT charlesemiller bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT kevinbowman bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT yiyin bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT joannesdmaasakkers bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT yuzhongzhang bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT tiarscarpelli bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT zhenqu bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT danieljjacob bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes AT johnrworden bayesianframeworkforderivingsectorbasedmethaneemissionsfromtopdownfluxes
_version_	1718408173448069120

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

Ejemplares similares