Global inverse modeling of CH4 sources and sinks: An overview of methods

Sander Houweling, Peter Bergamaschi, Frederic Chevallier, Martin Heimann, Thomas Kaminski, Maarten C. Krol, Anna M. Michalak, Prabir K. Patra

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

The aim of this paper is to present an overview of inverse modeling methods that have been developed over the years for estimating the global sources and sinks of CH4. It provides insight into how techniques and estimates have evolved over time and what the remaining shortcomings are. As such, it serves a didactical purpose of introducing apprentices to the field, but it also takes stock of developments so far and reflects on promising new directions. The main focus is on methodological aspects that are particularly relevant for CH4, such as its atmospheric oxidation, the use of methane isotopologues, and specific challenges in atmospheric transport modeling of CH4. The use of satellite retrievals receives special attention as it is an active field of methodological development, with special requirements on the sampling of the model and the treatment of data uncertainty. Regional scale flux estimation and attribution is still a grand challenge, which calls for new methods capable of combining information from multiple data streams of different measured parameters. A process model representation of sources and sinks in atmospheric transport inversion schemes allows the integrated use of such data. These new developments are needed not only to improve our understanding of the main processes driving the observed global trend but also to support international efforts to reduce greenhouse gas emissions.

Original languageEnglish
Pages (from-to)235-256
Number of pages22
JournalAtmospheric Chemistry and Physics
Volume17
Issue number1
DOIs
Publication statusPublished - 4 Jan 2017

Fingerprint

atmospheric transport
modeling
greenhouse gas
methane
oxidation
sampling
method
inversion
trend
parameter

Cite this

Houweling, S., Bergamaschi, P., Chevallier, F., Heimann, M., Kaminski, T., Krol, M. C., ... Patra, P. K. (2017). Global inverse modeling of CH4 sources and sinks: An overview of methods. Atmospheric Chemistry and Physics, 17(1), 235-256. https://doi.org/10.5194/acp-17-235-2017
Houweling, Sander ; Bergamaschi, Peter ; Chevallier, Frederic ; Heimann, Martin ; Kaminski, Thomas ; Krol, Maarten C. ; Michalak, Anna M. ; Patra, Prabir K. / Global inverse modeling of CH4 sources and sinks : An overview of methods. In: Atmospheric Chemistry and Physics. 2017 ; Vol. 17, No. 1. pp. 235-256.
@article{fc578231ac204309aeffd8dcb550dcb9,
title = "Global inverse modeling of CH4 sources and sinks: An overview of methods",
abstract = "The aim of this paper is to present an overview of inverse modeling methods that have been developed over the years for estimating the global sources and sinks of CH4. It provides insight into how techniques and estimates have evolved over time and what the remaining shortcomings are. As such, it serves a didactical purpose of introducing apprentices to the field, but it also takes stock of developments so far and reflects on promising new directions. The main focus is on methodological aspects that are particularly relevant for CH4, such as its atmospheric oxidation, the use of methane isotopologues, and specific challenges in atmospheric transport modeling of CH4. The use of satellite retrievals receives special attention as it is an active field of methodological development, with special requirements on the sampling of the model and the treatment of data uncertainty. Regional scale flux estimation and attribution is still a grand challenge, which calls for new methods capable of combining information from multiple data streams of different measured parameters. A process model representation of sources and sinks in atmospheric transport inversion schemes allows the integrated use of such data. These new developments are needed not only to improve our understanding of the main processes driving the observed global trend but also to support international efforts to reduce greenhouse gas emissions.",
author = "Sander Houweling and Peter Bergamaschi and Frederic Chevallier and Martin Heimann and Thomas Kaminski and Krol, {Maarten C.} and Michalak, {Anna M.} and Patra, {Prabir K.}",
year = "2017",
month = "1",
day = "4",
doi = "10.5194/acp-17-235-2017",
language = "English",
volume = "17",
pages = "235--256",
journal = "Atmospheric Chemistry and Physics",
issn = "1680-7316",
publisher = "European Geosciences Union",
number = "1",

}

Houweling, S, Bergamaschi, P, Chevallier, F, Heimann, M, Kaminski, T, Krol, MC, Michalak, AM & Patra, PK 2017, 'Global inverse modeling of CH4 sources and sinks: An overview of methods' Atmospheric Chemistry and Physics, vol. 17, no. 1, pp. 235-256. https://doi.org/10.5194/acp-17-235-2017

Global inverse modeling of CH4 sources and sinks : An overview of methods. / Houweling, Sander; Bergamaschi, Peter; Chevallier, Frederic; Heimann, Martin; Kaminski, Thomas; Krol, Maarten C.; Michalak, Anna M.; Patra, Prabir K.

In: Atmospheric Chemistry and Physics, Vol. 17, No. 1, 04.01.2017, p. 235-256.

Research output: Contribution to JournalReview articleAcademicpeer-review

TY - JOUR

T1 - Global inverse modeling of CH4 sources and sinks

T2 - An overview of methods

AU - Houweling, Sander

AU - Bergamaschi, Peter

AU - Chevallier, Frederic

AU - Heimann, Martin

AU - Kaminski, Thomas

AU - Krol, Maarten C.

AU - Michalak, Anna M.

AU - Patra, Prabir K.

PY - 2017/1/4

Y1 - 2017/1/4

N2 - The aim of this paper is to present an overview of inverse modeling methods that have been developed over the years for estimating the global sources and sinks of CH4. It provides insight into how techniques and estimates have evolved over time and what the remaining shortcomings are. As such, it serves a didactical purpose of introducing apprentices to the field, but it also takes stock of developments so far and reflects on promising new directions. The main focus is on methodological aspects that are particularly relevant for CH4, such as its atmospheric oxidation, the use of methane isotopologues, and specific challenges in atmospheric transport modeling of CH4. The use of satellite retrievals receives special attention as it is an active field of methodological development, with special requirements on the sampling of the model and the treatment of data uncertainty. Regional scale flux estimation and attribution is still a grand challenge, which calls for new methods capable of combining information from multiple data streams of different measured parameters. A process model representation of sources and sinks in atmospheric transport inversion schemes allows the integrated use of such data. These new developments are needed not only to improve our understanding of the main processes driving the observed global trend but also to support international efforts to reduce greenhouse gas emissions.

AB - The aim of this paper is to present an overview of inverse modeling methods that have been developed over the years for estimating the global sources and sinks of CH4. It provides insight into how techniques and estimates have evolved over time and what the remaining shortcomings are. As such, it serves a didactical purpose of introducing apprentices to the field, but it also takes stock of developments so far and reflects on promising new directions. The main focus is on methodological aspects that are particularly relevant for CH4, such as its atmospheric oxidation, the use of methane isotopologues, and specific challenges in atmospheric transport modeling of CH4. The use of satellite retrievals receives special attention as it is an active field of methodological development, with special requirements on the sampling of the model and the treatment of data uncertainty. Regional scale flux estimation and attribution is still a grand challenge, which calls for new methods capable of combining information from multiple data streams of different measured parameters. A process model representation of sources and sinks in atmospheric transport inversion schemes allows the integrated use of such data. These new developments are needed not only to improve our understanding of the main processes driving the observed global trend but also to support international efforts to reduce greenhouse gas emissions.

UR - http://www.scopus.com/inward/record.url?scp=85009074903&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009074903&partnerID=8YFLogxK

U2 - 10.5194/acp-17-235-2017

DO - 10.5194/acp-17-235-2017

M3 - Review article

VL - 17

SP - 235

EP - 256

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

IS - 1

ER -