摘要
We carried out a downscaling treatment over China using the CarbonTracker numerical model,which was applied using double grid nesting technology(3°×2°over the whole globe,1°×1°over China),simulating and analyzing atmospheric CO2concentrations over 10 recent years(2000–2009).The simulation results agreed very well with observed data from four background atmospheric monitoring stations in China(The periods for which the simulation results and observed values be compared were January2000 to December 2009 for the WLG station and June 2006 to December 2009 for the SDZ,LFS,and LAN stations),giving correlation coefficients of>0.7.The high-resolution simulation data correlated slightly better than the low resolution simulation data with the observed data for three of the regions’atmospheric background stations.Further analysis of the annual,seasonal CO2concentration variations at the background stations showed that the CO2concentration increased each year over the study period,with an average annual increase of more than 5%,and annual increases of more than 7%at the Shangdianzi and Lin’an stations.Seasonal CO2variations were greater at the Longfengshan station than at the Shangdianzi or Lin’an stations.However,the CO2concentrations were higher at the Shangdianzi and Lin’an stations because they are greatly affected by human activities in the Jingjinji and Changjiang Delta economic zones.Spatial distribution in CO2concentrations and fluxes were higher in eastern than in western China.
We carried out a downscaling treatment over China using the CarbonTracker numerical model, which was applied using double grid nesting technology （3°×2° over the whole globe, 1°× 1° over China）, simulating and analyzing atmospheric CO2 concentra- tions over 10 recent years （2000-2009）. The simulation results agreed very well with observed data from four background atmos- pheric monitoring stations in China （The periods for which the simulation results and observed values be compared were January 2000 to December 2009 for the WLG station and June 2006 to December 2009 for the SDZ, LFS, and LAN stations）, giving cor- relation coefficients of 〉0.7. The high-resolution simulation data correlated slightly better than the low resolution simulation data with the observed data for three of the regions＇ atmospheric background stations. Further analysis of the annual, seasonal CO2 concentration variations at the background stations showed that the CO2 concentration increased each year over the study period, with an average annual increase of more than 5%, and annual increases of more than 7% at the Shangdianzi and Lin＇an stations. Seasonal CO2 variations were greater at the Longfengshan station than at the Shangdianzi or Lin＇an stations. However, the CO2 concentrations were higher at the Shangdianzi and Lin＇an stations because they are greatly affected by human activities in the Jingjinji and Changjiang Delta economic zones. Spatial distribution in CO2 concentrations and fluxes were higher in eastern than in western China.
基金
supported by the National Basic Research Program of China (2010CB950601)
the International S & T Cooperation Program MOST (2011DFA21090)
the National Natural Science Foundation of China (41175116)
