Reducing uncertainties in decadal variability of the global carbon   budget with multiple datasets

doi:10.1073/pnas.1603956113

CORC > 北京大学 > 城市与环境学院

	Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets
	Li, Wei ; Ciais, Philippe ; Wang, Yilong ; Peng, Shushi ; Broquet, Gregoire ; Ballantyne, Ashley P. ; Canadell, Josep G. ; Cooper, Leila ; Friedlingstein, Pierre ; Le Quere, Corinne ; Myneni, Ranga B. ; Peters, Glen P. ; Piao, Shilong ; Pongratz, Julia
刊名	PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
	2016
关键词	global carbon budget carbon cycle decadal variations Bayesian fusion CO2 FLUX VARIABILITY MIXED-LAYER SCHEME LAND-USE OCEAN SINK TRENDS ECOSYSTEMS EMISSIONS DIOXIDE AMERICA
DOI	10.1073/pnas.1603956113
英文摘要	Conventional calculations of the global carbon budget infer the land sink as a residual between emissions, atmospheric accumulation, and the ocean sink. Thus, the land sink accumulates the errors from the other flux terms and bears the largest uncertainty. Here, we present a Bayesian fusion approach that combines multiple observations in different carbon reservoirs to optimize the land (B) and ocean (O) carbon sinks, land use change emissions (L), and indirectly fossil fuel emissions (F) from 1980 to 2014. Compared with the conventional approach, Bayesian optimization decreases the uncertainties in B by 41% and in O by 46%. The L uncertainty decreases by 47%, whereas F uncertainty is marginally improved through the knowledge of natural fluxes. Both ocean and net land uptake (B + L) rates have positive trends of 29 +/- 8 and 37 +/- 17 Tg C.y(-2) since 1980, respectively. Our Bayesian fusion of multiple observations reduces uncertainties, thereby allowing us to isolate important variability in global carbon cycle processes.; European Commission [603542]; European Research Council [ERC-2013-SyG-610028]; Australian Climate Change Science Program; Norwegian Research Council [236296]; German Research Foundation; SCI(E); PubMed; ARTICLE; wei.li@lsce.ipsl.fr; 46; 13104-13108; 113
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/457175]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Li, Wei,Ciais, Philippe,Wang, Yilong,et al. Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2016.
APA	Li, Wei.,Ciais, Philippe.,Wang, Yilong.,Peng, Shushi.,Broquet, Gregoire.,...&Pongratz, Julia.(2016).Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA.
MLA	Li, Wei,et al."Reducing uncertainties in decadal variability of the global carbon budget with multiple datasets".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016).