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Advanced Data Assimilation for GeosciencesLecture Notes of the Les Houches School of Physics: Special Issue, June 2012$
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Éric Blayo, Marc Bocquet, Emmanuel Cosme, and Leticia F. Cugliandolo

Print publication date: 2014

Print ISBN-13: 9780198723844

Published to Oxford Scholarship Online: March 2015

DOI: 10.1093/acprof:oso/9780198723844.001.0001

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Greenhouse gas flux inversion

Greenhouse gas flux inversion

(p.497) 21 Greenhouse gas flux inversion
Advanced Data Assimilation for Geosciences

F. Chevallier

Oxford University Press

This chapter is a short overview of the art of inferring CO2 sources and sinks from atmospheric mole fraction measurements, with an opening towards other greenhouse gases, such as methane, for which the inference problem is similar. The various components of this Bayesian estimation problem are recalled: the observations (in situ or from satellites), the prior information about the sources and sinks, the physical models that describe atmospheric transport, and the statistical models that describe the errors of all input information pieces. The chapter also discusses the pros and cons of this approach.

Keywords:   Bayesian estimation, CO2, methane, greenhouse gases, sources and sinks, atmospheric transport, satellite

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