A global two-dimensional zonally averaged chemistry model is developed to study the chemi-cal composition of atmosphere. The region of the model is from 90°S to 90°N and from the ground to the altitude of 20...A global two-dimensional zonally averaged chemistry model is developed to study the chemi-cal composition of atmosphere. The region of the model is from 90°S to 90°N and from the ground to the altitude of 20 km with a resolution of 5° x 1 km. The wind field is residual circulation calcu-lated from diabatic rate. 34 species and 104 chemical and photochemical reactions are considered in the model. The sources of CH4, CO and NOx, which are divided into seasonal sources and non-seasonal sources, are parameterized as a function of latitude and time. The chemical composi-tion of atmosphere was simulated with emission level of CH4, CO and NOx in 1990. The results are compared with observations and other model results, showing that the model is successful to simu-late the atmospheric chemical composition and distribution of CH4. Key words Global two-dimensional chemistry model - Atmospheric composition - Emission This work was supported by the State Key Program for basic research “ Climate Dynamics and Cli-mate Prediction Theory” (Pandeng-yu-21).The authors would like to express their thanks to the National Oceanic and Atmospheric Administration (NOAA), Climate Monitoring and Diagnostics Laboratory (CMDL), Carbon Cycle Group for providing the observational data of CO and CH4.展开更多
A two-dimensional global chemistry model is developed to study the distribution andlong-term trends of methane. The model contains 34 species and 104 chemical andphotochemical reactions. Using the model, the long-term...A two-dimensional global chemistry model is developed to study the distribution andlong-term trends of methane. The model contains 34 species and 104 chemical andphotochemical reactions. Using the model, the long-term trends of CH4, CO and OH in atmosphere are simulated, comparison between the model and observations shows that thesimulation is successful.Experiments are done to investigate the causes of dramatic decrease in the growth rate ofCH4 in 1992 such as OH increase due to stratospheric ozone depletion, decrease of temperature in the troposphere due to Mount Pinatubo eruption and descendent of CH4 sources fluxes.A new explanation is proposed and verified by this model that the decrease of CO emissionplays an important role for the abnormal growth rate of CH4 in 1992. We find that the decreases of CH4 and CO emissions are the main reasons for the sudden decrease of growth rateof CH4 in 1992, which account for 73% and 27% respectively.展开更多
初步建立了以二氧化硫、硫酸盐、黑碳、沙尘气溶胶等作为主要研究对象的全球环境大气输送模式（Global Environmental Atmospheric Transport Model,GEATM）,其水平分辨率为1°×1°,垂直方向分为20层,采用地形追随坐标系,...初步建立了以二氧化硫、硫酸盐、黑碳、沙尘气溶胶等作为主要研究对象的全球环境大气输送模式（Global Environmental Atmospheric Transport Model,GEATM）,其水平分辨率为1°×1°,垂直方向分为20层,采用地形追随坐标系,考虑了上述大气化学成分的地面源排放、平流与扩散、化学转化以及干沉降、湿清除等过程.利用NCEP/NCAR再分析资料作为驱动气象场,对2004年进行长期模拟,分析了二氧化硫、硫酸盐、黑碳、沙尘气溶胶的浓度分布和输送态势.与观测的比较表明,模式对于大气化学成分分布状况具有较强的模拟能力,在欧洲的Jarczew和Leba观测站,二氧化硫日平均浓度的相关系数分别达到了0.69和0.66;在中国,有47个站点的二氧化硫日平均浓度相关系数高于0.50,其中北京、天津、上海等28个站点的浓度相关系数达到了0.60以上.同时,模拟的沙尘气溶胶总体柱浓度分布状况与卫星观测输出的气溶胶光学厚度具有很好的一致性,体现了气溶胶粒子的输送态势和分布特征.模拟结果显示二氧化硫、硫酸盐、黑碳的浓度高值区主要位于污染排放较大的欧洲、东亚和北美地区,二氧化硫地面最大年均浓度值为1500×10^-12,硫酸盐为500×10^-12,黑碳气溶胶为1000ng/m^3.沙尘浓度与下垫面土壤类型以及地面气象条件关系密切,全球沙尘浓度主要分布在撒哈拉沙漠、阿拉伯半岛、中亚地区、澳大利亚西部以及拉丁美洲南部地区,并且呈现了较为显著的季节变化特征,撒哈拉沙漠输送最强时期是在6～8月,影响范围覆盖了整个赤道大西洋,最西端伸展到了北美的加勒比海地区;阿拉伯半岛沙尘输送最强时期是3～8月,影响范围包括阿拉伯海和孟加拉湾地区;亚洲在3～5月有非常强烈的沙尘东传过程,浓度输送带一直贯穿了整个北太平洋地区.展开更多
A global two-dimensional chemistry model is developed to study long-term trends of CH_4 since industrial revolution.The sources of CH_4,CO and NO_x are parameterized as functions of latitude and time. With two long-te...A global two-dimensional chemistry model is developed to study long-term trends of CH_4 since industrial revolution.The sources of CH_4,CO and NO_x are parameterized as functions of latitude and time. With two long-term emission scenarios,long-term trends of CH_4 are simulated.The results have a good agreement with observation from ice cores.The modeled CH_4 increased from 760 ppbv in 1840 to 1611.9 ppbv in 1991, while the modeled number concentration of tropospheric OH decreased from 7.17×10~5 cm~(-3)in 1840 to 5.79×10~5 cm~(-3) in 1991.The increase of atmospheric CH_4 can be explained by the increase of emission of CH_4 and build-up because of decrease of OH radicals that remove CH_4 from the atmosphere. The model is also used to simulate the distribution of CH_4.Comparisons between the model results and observations show that the model can simulate both latitudinal distribution and seasonal variation of CH_4 well.展开更多
文摘A global two-dimensional zonally averaged chemistry model is developed to study the chemi-cal composition of atmosphere. The region of the model is from 90°S to 90°N and from the ground to the altitude of 20 km with a resolution of 5° x 1 km. The wind field is residual circulation calcu-lated from diabatic rate. 34 species and 104 chemical and photochemical reactions are considered in the model. The sources of CH4, CO and NOx, which are divided into seasonal sources and non-seasonal sources, are parameterized as a function of latitude and time. The chemical composi-tion of atmosphere was simulated with emission level of CH4, CO and NOx in 1990. The results are compared with observations and other model results, showing that the model is successful to simu-late the atmospheric chemical composition and distribution of CH4. Key words Global two-dimensional chemistry model - Atmospheric composition - Emission This work was supported by the State Key Program for basic research “ Climate Dynamics and Cli-mate Prediction Theory” (Pandeng-yu-21).The authors would like to express their thanks to the National Oceanic and Atmospheric Administration (NOAA), Climate Monitoring and Diagnostics Laboratory (CMDL), Carbon Cycle Group for providing the observational data of CO and CH4.
文摘A two-dimensional global chemistry model is developed to study the distribution andlong-term trends of methane. The model contains 34 species and 104 chemical andphotochemical reactions. Using the model, the long-term trends of CH4, CO and OH in atmosphere are simulated, comparison between the model and observations shows that thesimulation is successful.Experiments are done to investigate the causes of dramatic decrease in the growth rate ofCH4 in 1992 such as OH increase due to stratospheric ozone depletion, decrease of temperature in the troposphere due to Mount Pinatubo eruption and descendent of CH4 sources fluxes.A new explanation is proposed and verified by this model that the decrease of CO emissionplays an important role for the abnormal growth rate of CH4 in 1992. We find that the decreases of CH4 and CO emissions are the main reasons for the sudden decrease of growth rateof CH4 in 1992, which account for 73% and 27% respectively.
文摘初步建立了以二氧化硫、硫酸盐、黑碳、沙尘气溶胶等作为主要研究对象的全球环境大气输送模式（Global Environmental Atmospheric Transport Model,GEATM）,其水平分辨率为1°×1°,垂直方向分为20层,采用地形追随坐标系,考虑了上述大气化学成分的地面源排放、平流与扩散、化学转化以及干沉降、湿清除等过程.利用NCEP/NCAR再分析资料作为驱动气象场,对2004年进行长期模拟,分析了二氧化硫、硫酸盐、黑碳、沙尘气溶胶的浓度分布和输送态势.与观测的比较表明,模式对于大气化学成分分布状况具有较强的模拟能力,在欧洲的Jarczew和Leba观测站,二氧化硫日平均浓度的相关系数分别达到了0.69和0.66;在中国,有47个站点的二氧化硫日平均浓度相关系数高于0.50,其中北京、天津、上海等28个站点的浓度相关系数达到了0.60以上.同时,模拟的沙尘气溶胶总体柱浓度分布状况与卫星观测输出的气溶胶光学厚度具有很好的一致性,体现了气溶胶粒子的输送态势和分布特征.模拟结果显示二氧化硫、硫酸盐、黑碳的浓度高值区主要位于污染排放较大的欧洲、东亚和北美地区,二氧化硫地面最大年均浓度值为1500×10^-12,硫酸盐为500×10^-12,黑碳气溶胶为1000ng/m^3.沙尘浓度与下垫面土壤类型以及地面气象条件关系密切,全球沙尘浓度主要分布在撒哈拉沙漠、阿拉伯半岛、中亚地区、澳大利亚西部以及拉丁美洲南部地区,并且呈现了较为显著的季节变化特征,撒哈拉沙漠输送最强时期是在6～8月,影响范围覆盖了整个赤道大西洋,最西端伸展到了北美的加勒比海地区;阿拉伯半岛沙尘输送最强时期是3～8月,影响范围包括阿拉伯海和孟加拉湾地区;亚洲在3～5月有非常强烈的沙尘东传过程,浓度输送带一直贯穿了整个北太平洋地区.
文摘A global two-dimensional chemistry model is developed to study long-term trends of CH_4 since industrial revolution.The sources of CH_4,CO and NO_x are parameterized as functions of latitude and time. With two long-term emission scenarios,long-term trends of CH_4 are simulated.The results have a good agreement with observation from ice cores.The modeled CH_4 increased from 760 ppbv in 1840 to 1611.9 ppbv in 1991, while the modeled number concentration of tropospheric OH decreased from 7.17×10~5 cm~(-3)in 1840 to 5.79×10~5 cm~(-3) in 1991.The increase of atmospheric CH_4 can be explained by the increase of emission of CH_4 and build-up because of decrease of OH radicals that remove CH_4 from the atmosphere. The model is also used to simulate the distribution of CH_4.Comparisons between the model results and observations show that the model can simulate both latitudinal distribution and seasonal variation of CH_4 well.
