GSTDTAP  > 地球科学
DOI10.5194/acp-17-235-2017
Global inverse modeling of CH4 sources and sinks: an overview of methods
Houweling, Sander1,2; Bergamaschi, Peter3; Chevallier, Frederic4; Heimann, Martin5; Kaminski, Thomas6; Krol, Maarten1,2,7; Michalak, Anna M.8; Patra, Prabir9
2017-01-04
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:1
文章类型Article
语种英语
国家Netherlands; Italy; France; Germany; USA; Japan
英文摘要

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.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000392124200001
WOS关键词VARIATIONAL DATA ASSIMILATION ; AMERICAN METHANE EMISSIONS ; HIGH-SPATIAL-RESOLUTION ; ATMOSPHERIC METHANE ; SATELLITE-OBSERVATIONS ; ISOTOPIC COMPOSITION ; SYSTEMATIC-ERRORS ; TRANSPORT MODEL ; CARBON-DIOXIDE ; AMAZON BASIN
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/18416
专题地球科学
作者单位1.SRON Netherlands Inst Space Res, Utrecht, Netherlands;
2.Univ Utrecht, Inst Marine & Atmospher Res IMAU, Utrecht, Netherlands;
3.European Commiss, Inst Environm & Sustainabil, Joint Res Ctr, Ispra, Va, Italy;
4.LSCE, Gif Sur Yvette, France;
5.Max Planck Inst Biogeochem, Jena, Germany;
6.Invers Lab, Hamburg, Germany;
7.Wageningen Univ & Res Ctr, Dept Meteorol & Air Qual MAQ, Wageningen, Netherlands;
8.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA USA;
9.Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, Japan
推荐引用方式
GB/T 7714
Houweling, Sander,Bergamaschi, Peter,Chevallier, Frederic,et al. Global inverse modeling of CH4 sources and sinks: an overview of methods[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(1).
APA Houweling, Sander.,Bergamaschi, Peter.,Chevallier, Frederic.,Heimann, Martin.,Kaminski, Thomas.,...&Patra, Prabir.(2017).Global inverse modeling of CH4 sources and sinks: an overview of methods.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(1).
MLA Houweling, Sander,et al."Global inverse modeling of CH4 sources and sinks: an overview of methods".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.1(2017).
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