Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/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 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
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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