Benchmarking coupled climate-carbon models against long-term atmospheric   CO2 measurements

doi:10.1029/2009GB003556

CORC > 北京大学 > 城市与环境学院

	Benchmarking coupled climate-carbon models against long-term atmospheric CO2 measurements
	Cadule, P. ; Friedlingstein, P. ; Bopp, L. ; Sitch, S. ; Jones, C. D. ; Ciais, P. ; Piao, S. L. ; Peylin, P.
刊名	global biogeochemical cycles
	2010
关键词	NET PRIMARY PRODUCTION ORGANIC-CARBON MAUNA-LOA SEASONAL CYCLE LAND-USE INTERANNUAL VARIABILITY ECOSYSTEM CARBON STOMATAL CONDUCTANCE NORTHERN-HEMISPHERE POSITIVE FEEDBACK
DOI	10.1029/2009GB003556
英文摘要	We evaluated three global models of the coupled carbon-climate system against atmospheric CO2 concentration measured at a network of stations. These three models, HadCM3LC, IPSL-CM2-C, and IPSL-CM4-LOOP, participated in the (CMIP)-M-4 experiment and in various other simulations of the future climate impacts on the land and ocean carbon cycle. A new set of performance metrics is defined and applied to quantify each model's ability to reproduce the global growth rate, the seasonal cycle, the El Nino-Southern Oscillation (ENSO)-forced interannual variability of atmospheric CO2, and the sensitivity to climatic variations. Knowing that the uncertainty on the amplitude, in 2100, of the climate-carbon feedback is mainly due to the uncertainty of the response of the terrestrial biosphere to the climate change, our new metrics primarily target the evaluation of the land parameterization of the carbon cycle. The modeled fluxes are prescribed to the same global atmospheric transport model LMDZ4, and the simulated concentrations are compared to available observations. We found that the IPSL-CM4-LOOP model is best able to reproduce the phase and amplitude of the atmospheric CO2 seasonal cycle in the Northern Hemisphere, while the other two models generally underestimate the seasonal amplitude. This points to some shortcomings in describing the vegetation phenology and heterotropic respiration response to climate. We also found that IPSL-CM2-C produces a climate-driven abnormal source of CO2 to the atmosphere in response to El Nino anomalies. Here a good model performance rests upon a realistic simulation of ENSO-type climate variability and the subsequent tropical carbon cycle response. The three climate models underestimate the sea surface temperature warm anomaly during an El Nino, but HadCM3LC does best in reproducing the interannual CO2 variability. More efforts are needed to further develop metrics for assessing the sensitivity of the carbon cycle to climate change, and this work should now be extended to assess ocean carbon models against observations.; Environmental Sciences; Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences; SCI(E); 48; ARTICLE; 24
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/243744]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Cadule, P.,Friedlingstein, P.,Bopp, L.,et al. Benchmarking coupled climate-carbon models against long-term atmospheric CO2 measurements[J]. global biogeochemical cycles,2010.
APA	Cadule, P..,Friedlingstein, P..,Bopp, L..,Sitch, S..,Jones, C. D..,...&Peylin, P..(2010).Benchmarking coupled climate-carbon models against long-term atmospheric CO2 measurements.global biogeochemical cycles.
MLA	Cadule, P.,et al."Benchmarking coupled climate-carbon models against long-term atmospheric CO2 measurements".global biogeochemical cycles (2010).