Greenhouse Gas Source Attribution: Measurements Modeling and Uncertainty Quantification | Zendy

Zhen Liu | Zendy; Cosmin Safta | Zendy; Khachik Sargsyan | Zendy; Habib N. Najm | Zendy; Bart van Bloemen Waanders | Zendy; B. W. LaFranchi | Zendy; Mark D. Ivey | Zendy; Paul E. Schrader | Zendy; Hope A. Michelsen | Zendy; Ray Bambha | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Greenhouse Gas Source Attribution: Measurements Modeling and Uncertainty Quantification

Author(s) -

Zhen Liu,

Cosmin Safta,

Khachik Sargsyan,

Habib N. Najm,

Bart van Bloemen Waanders,

B. W. LaFranchi,

Mark D. Ivey,

Paul E. Schrader,

Hope A. Michelsen,

Ray Bambha

Publication year - 2014

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/1322290

Subject(s) - cmaq , bayesian inference , air quality index , atmospheric dispersion modeling , environmental science , inversion (geology) , computer science , greenhouse gas , climate model , markov chain monte carlo , inference , uncertainty quantification , meteorology , bayesian probability , climate change , air pollution , machine learning , artificial intelligence , geography , geology , oceanography , organic chemistry , structural basin , paleontology , chemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research