结合2006年最新的气溶胶排放源资料,以NCEP/NCAR再分析资料为气象场,驱动大气化学传输模式MATCH(Model of Atmospheric Transport and Chemistry),模拟了2006年中国地区硫酸盐、黑碳和沙尘气溶胶的质量浓度分布及其季节变化。模拟的气...结合2006年最新的气溶胶排放源资料,以NCEP/NCAR再分析资料为气象场,驱动大气化学传输模式MATCH(Model of Atmospheric Transport and Chemistry),模拟了2006年中国地区硫酸盐、黑碳和沙尘气溶胶的质量浓度分布及其季节变化。模拟的气溶胶光学厚度(AOD)结果与CSHNET观测网数据比较分析后发现,基于21个观测站的61组月平均数据与相应模拟结果的相关系数为0.63。模拟结果表明:2006年中国地区硫酸盐气溶胶高值区主要分布在中国的四川盆地、华北及长江流域等工业较发达地区,而且具有明显的季节变化,四川盆地及长江以南地区,硫酸盐气溶胶1月份浓度高于7月份,长江以北的大部分地区,7月份浓度高于1月份;黑碳气溶胶主要分布在黄河、长江中下游地区及华南等地区,1月份浓度高于7月份;沙尘气溶胶主要分布在内蒙古中部沙漠地区,4月份浓度最高,7月份次之,其他月份较少。展开更多
利用2006年NCEP/NCAR再分析资料驱动大气化学传输模式MATCH(Model of Atmos-pheric Transport and Chemistry),模拟了中国地区气溶胶光学厚度的分布及其季节变化特征,并与MODIS(MODerate resolution Imaging Spectro-radiometer)卫星产...利用2006年NCEP/NCAR再分析资料驱动大气化学传输模式MATCH(Model of Atmos-pheric Transport and Chemistry),模拟了中国地区气溶胶光学厚度的分布及其季节变化特征,并与MODIS(MODerate resolution Imaging Spectro-radiometer)卫星产品MOD08_M3和中国太阳分光观测网CSHNET(the Chinese Sun Hazemeter Network)的观测资料进行了对比和验证。在此基础上,研究得出,2006年中国的华北、华中和华南地区是气溶胶光学厚度的高值区,青藏高原和东北地区是低值区。在中国的华北、华中、华南和西南等大部分地区,硫酸盐气溶胶产生的光学厚度所占的比重较大,其次为有机碳气溶胶,黑碳气溶胶和海盐气溶胶所占比重较小。展开更多
On the basis of a simple snow-atmosphere-soil transfer (SAST) model previously developed,this paper presents an improved snow-atmosphere-soil transfer (ISAST) model that has a new numerical scheme and an improved meth...On the basis of a simple snow-atmosphere-soil transfer (SAST) model previously developed,this paper presents an improved snow-atmosphere-soil transfer (ISAST) model that has a new numerical scheme and an improved method of layering the snowpack.The new model takes the snow cover temperature and ice content in the snow cover as prognostic variables.This approach,which effectively solves the snow cover temperature distribution when the snow cover is melting or freezing,lessens the iteration time and computation time,which is important for GCM simulation.In this model,the snow cover is divided into three layers (ISAST3) or seven layers (ISAST7).The simulation results obtained using the ISAST7 model agree well with observations in terms of snow depth,snow equivalent water and snow cover lifetime at five Russian sites.The new ISAST model has better simulation capacity for snow cover than the previous SAST model.When the snow cover is deep,the simulation of the ISAST7 model is better than that of the ISAST3 model.Testing shows that our ISAST model is approximately 20% faster than the SAST model.展开更多
文摘结合2006年最新的气溶胶排放源资料,以NCEP/NCAR再分析资料为气象场,驱动大气化学传输模式MATCH(Model of Atmospheric Transport and Chemistry),模拟了2006年中国地区硫酸盐、黑碳和沙尘气溶胶的质量浓度分布及其季节变化。模拟的气溶胶光学厚度(AOD)结果与CSHNET观测网数据比较分析后发现,基于21个观测站的61组月平均数据与相应模拟结果的相关系数为0.63。模拟结果表明:2006年中国地区硫酸盐气溶胶高值区主要分布在中国的四川盆地、华北及长江流域等工业较发达地区,而且具有明显的季节变化,四川盆地及长江以南地区,硫酸盐气溶胶1月份浓度高于7月份,长江以北的大部分地区,7月份浓度高于1月份;黑碳气溶胶主要分布在黄河、长江中下游地区及华南等地区,1月份浓度高于7月份;沙尘气溶胶主要分布在内蒙古中部沙漠地区,4月份浓度最高,7月份次之,其他月份较少。
文摘利用2006年NCEP/NCAR再分析资料驱动大气化学传输模式MATCH(Model of Atmos-pheric Transport and Chemistry),模拟了中国地区气溶胶光学厚度的分布及其季节变化特征,并与MODIS(MODerate resolution Imaging Spectro-radiometer)卫星产品MOD08_M3和中国太阳分光观测网CSHNET(the Chinese Sun Hazemeter Network)的观测资料进行了对比和验证。在此基础上,研究得出,2006年中国的华北、华中和华南地区是气溶胶光学厚度的高值区,青藏高原和东北地区是低值区。在中国的华北、华中、华南和西南等大部分地区,硫酸盐气溶胶产生的光学厚度所占的比重较大,其次为有机碳气溶胶,黑碳气溶胶和海盐气溶胶所占比重较小。
基金supported by National Natural Science Foundation of China(Grant No. 41030106)National Key Projects on Global Change Studies (Grant No. 2010CB951801)
文摘On the basis of a simple snow-atmosphere-soil transfer (SAST) model previously developed,this paper presents an improved snow-atmosphere-soil transfer (ISAST) model that has a new numerical scheme and an improved method of layering the snowpack.The new model takes the snow cover temperature and ice content in the snow cover as prognostic variables.This approach,which effectively solves the snow cover temperature distribution when the snow cover is melting or freezing,lessens the iteration time and computation time,which is important for GCM simulation.In this model,the snow cover is divided into three layers (ISAST3) or seven layers (ISAST7).The simulation results obtained using the ISAST7 model agree well with observations in terms of snow depth,snow equivalent water and snow cover lifetime at five Russian sites.The new ISAST model has better simulation capacity for snow cover than the previous SAST model.When the snow cover is deep,the simulation of the ISAST7 model is better than that of the ISAST3 model.Testing shows that our ISAST model is approximately 20% faster than the SAST model.
