Work

Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion

Year: 2015

Type: article

Source: Chemometrics and Intelligent Laboratory Systems

DOI: 10.1016/j.chemolab.2015.09.006

Authors: Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan, Simon O'Doherty, Alistair J. Manning

Institutions: University of Wollongong, University of Bristol, Met Office

Language: English

Topic: Atmospheric and Environmental Gas Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: bronze

Funders: U.S. Department of Energy, National Aeronautics and Space Administration, Massachusetts Institute of Technology, Department of Energy and Climate Change, Department for Environment, Food and Rural Affairs, UK Government, Sight Research UK, University of Bristol, Natural Environment Research Council

Awards: G1220896492, G1540279828, G251862115, G3005048338, G3180040070, South Asian methane emissions, inferred from surface, aircraft and satellite observations, THIS PROPOSAL SEEKS FIVE YEARS OF CONTINUING FUNDING FOR THE MULTI-NATIONAL, GLOBAL ATMOSPHERIC MEASUREMENT PROGRAM ENTITLED ADVANCED GLOBAL ATMOSPHE, G953543176

OpenAlex ID: W1776698481

FWCI: 0.806

Cites: 71

Cited by: 16

Related to: 10