DOI: 10.1002/jgrd.50168
论文题名: In-situ CO<inf>2</inf> monitoring network evaluation and design: A criterion based on atmospheric CO<inf>2</inf> variability
作者: Shiga Y.P. ; Michalak A.M. ; Randolph Kawa S. ; Engelen R.J.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 4 起始页码: 2007
结束页码: 2018
语种: 英语
英文关键词: atmospheric co2
; greenhouse gas monitoring
; in-situ measurements
; monitoring network design
Scopus关键词: Design
; Greenhouse gases
; Inverse problems
; Monitoring
; Tools
; Towers
; Atmospheric monitoring
; Complementary tools
; Concentration Measurement
; Continuous monitoring
; In-situ measurement
; Monitoring network designs
; Quantitative design
; Solution of inverse problems
; Carbon dioxide
; carbon dioxide
; carbon flux
; computer simulation
; concentration (composition)
; data set
; design
; environmental monitoring
; greenhouse gas
; in situ measurement
英文摘要: Estimates of surface fluxes of carbon dioxide (CO2 ) can be derived from atmospheric CO2 concentration measurements through the solution of an inverse problem, but the sparseness of the existing CO 2 monitoring network is often cited as a main limiting factor in constraining fluxes. Existing methods for assessing or designing monitoring networks either primarily rely on expert knowledge, or are sensitive to the large number of modeling choices and assumptions inherent to the solution of inverse problems. This study proposes a monitoring network evaluation and design approach based on the quantification of the spatial variability in modeled atmospheric CO2 . The approach is used to evaluate the 2004-2008 North American network expansion and to create two hypothetical further expansions. The less stringent expansion guarantees a monitoring tower within one correlation length (CL) of each location (1 CL), requiring an additional eight towers relative to 2008. The more stringent network includes a tower within one half of a CL (1/2 CL) and requires 35 towers beyond the 1 CL network. The two proposed networks are evaluated against the network in 2008, which temporarily had the most continuous monitoring sites in North America thanks to the Mid-Continent Intensive project. Evaluation using a synthetic data inversion shows a marked improvement in the ability to constrain both continental- and biome-scale fluxes, especially in areas that are currently under-sampled. The proposed approach is flexible, computationally inexpensive, and provides a quantitative design tool that can be used in concert with existing tools to inform atmospheric monitoring needs. Key Points Monitoring network evaluation and design based on variability of atmospheric CO2 Complementary tool to expert-knowledge and inverse-modeling-based approachesApplication to expansion of the North American in-situ CO2 monitoring network © 2013. American Geophysical Union. All Rights Reserved. 资助项目: 218793
; NNX12A890G
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63922
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
Recommended Citation:
Shiga Y.P.,Michalak A.M.,Randolph Kawa S.,et al. In-situ CO<inf>2</inf> monitoring network evaluation and design: A criterion based on atmospheric CO<inf>2</inf> variability[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(4)