A Multiplatform Inversion Estimation of Statewide and Regional Methane Emissions in California during 2014-2016

Autor:	Jorn D. Herner, Riley M. Duren, Laura Bianco, Charles E. Miller, Dazhong Yin, Matthew S. Johnson, Y. Hsu, Marc Fischer, Kenneth Stroud, Laura T. Iraci, Tomoaki Tanaka, Ralph F. Keeling, Ray F. Weiss, Jeremy Avise, Xue Meng Chen, Y. Cui, A. Vijayan, Bart E. Croes, Zhan Zhao, Vineet Yadav, Yanju Chen, Eric A. Kort, Jooil Kim, K. R. Verhulst, Matthias Falk
Rok vydání:	2019
Předmět:	Methane emissions Air Pollutants Meteorology Aircraft Astrophysics::High Energy Astrophysical Phenomena Mesoscale meteorology Inversion (meteorology) Bayes Theorem General Chemistry 010501 environmental sciences 01 natural sciences Methane California chemistry.chemical_compound chemistry Environmental Chemistry Environmental science San Francisco Astrophysics::Earth and Planetary Astrophysics Physics::Chemical Physics Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences
Zdroj:	Environmental sciencetechnology. 53(16)
ISSN:	1520-5851
Popis:	California methane (CH4) emissions are quantified for three years from two tower networks and one aircraft campaign. We used backward trajectory simulations and a mesoscale Bayesian inverse model, ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17e75ce347f8aff021550423d053f161 https://pubmed.ncbi.nlm.nih.gov/31347357 Zobrazit plný text záznamu