南北两半球大气中高纬度之间的相互作用与季风等跨半球的天气气候系统存在着密切联系,由于涉及全球范围的大尺度环流与能量变化,其联系途径与机理受到学者们的广泛关注。本文结合ERA5再分析资料以及CMIP6中MPI-ESM1-2-HR模式历史输出资...南北两半球大气中高纬度之间的相互作用与季风等跨半球的天气气候系统存在着密切联系,由于涉及全球范围的大尺度环流与能量变化,其联系途径与机理受到学者们的广泛关注。本文结合ERA5再分析资料以及CMIP6中MPI-ESM1-2-HR模式历史输出资料,验证了冬季南北半球际大气质量涛动(Inter-Hemispheric atmospheric mass Oscillation, IHO)与东亚冬季风异常的联系及其对中国冬季气温的影响。研究表明,再分析资料以及模式结果均表明冬季IHO与东亚冬季风存在显著的正相关关系。IHO通过全球大气质量再分配与东亚冬季风建立起紧密的联系。当IHO为正位相时,大气质量在欧亚大陆北部异常堆积,而在中低纬地区异常亏损,这使得东亚地区海陆气压差明显增大,冬季风增强,同时对中国华中地区冬季地表气温具有显著影响;反之亦然。进一步分析发现,热带低平流层气温可以通过剩余环流调节臭氧含量经向分布进而影响南极对流层气温,从而对IHO年际变化起主要的驱动作用。展开更多
本文基于WRF模式研究了2015年5月16~17日广东西南地区的一次暴雨过程的预报误差来源。首先比较了以NCEPFNL为初始资料的WRF模式的模拟预报(记为WRFFNL)和ECMWF(European Centre for Medium-Range Weather Forecasts)关于该次暴雨过程的...本文基于WRF模式研究了2015年5月16~17日广东西南地区的一次暴雨过程的预报误差来源。首先比较了以NCEPFNL为初始资料的WRF模式的模拟预报(记为WRFFNL)和ECMWF(European Centre for Medium-Range Weather Forecasts)关于该次暴雨过程的确定性预报。结果表明,ECMWF具有较高的预报技巧,因此,认为ECMWF的模式和初始场都较为准确。进一步,以ECMWF的初值作为初始场,选用相同的物理参数化方案,再次用WRF模式进行预报(预报结果记为WRFEC)。结果表明相对WRFFNL,WRFEC的预报结果有明显改善。这表明,初始场的改进对预报有较大的影响,初始误差是预报误差的重要来源。进一步,分析了初始误差的主要来源区域和来源变量。结果表明,南海北部湾至广西西南区域为本次暴雨预报初始误差的主要来源区域,而初始温度场和初始湿度场则为此次暴雨预报初始误差的主要来源变量。同时改进初始温度场和湿度场可以较大程度提高本次暴雨过程的预报技巧。展开更多
基于WRF模式(Weather Research and Forecasting Model)分析2020年超长梅汛期内11次强降水事件的预报误差来源。分别以FNL(Final Global Data Assimilation System)、TIGGE_EC(THORPEX Interactive Grand Global Ensemble from European...基于WRF模式(Weather Research and Forecasting Model)分析2020年超长梅汛期内11次强降水事件的预报误差来源。分别以FNL(Final Global Data Assimilation System)、TIGGE_EC(THORPEX Interactive Grand Global Ensemble from European Centre for Medium-Range Weather Forecasts)作为初始场进行预报,对比预报结果发现,TIGGE_EC初始场的预报结果普遍优于FNL,这说明初始条件的不确定性对预报结果有重要影响。进一步探究初始条件不确定性(初始误差)来源的区域(敏感区)和变量(敏感变量)发现,敏感区集中分布于降水区西侧上游,相对应的敏感变量为水汽场。分别考察动能、有效位能以及比湿能在初始误差总能量中的占比,结果表明,扰动比湿能占比最小,但敏感性试验表明比湿场扰动对预报效果的影响最大。选取比湿场扰动对预报效果影响最大且WRF_EC具有更好预报效果的6个暴雨事件,通过HYSPLIT后向轨迹模式分别追踪其累计降水量最大值点的水汽来源及路径发现,有6个事件均有向降水区西侧上游延伸的水汽来源通道,进一步表明了敏感区的初始水汽场的准确性对暴雨预报的影响。因此降水区西侧上游的水汽场的误差是这11次梅汛期暴雨过程重要的预报误差来源,对其准确描述可有助于预报效果的提升。展开更多
Using the daily and monthly data of surface air pressure, meridional wind, radiation and water vapor from NCEP/NCAR reanalysis for the period of 1979―2006, we have examined the seasonal variations of the interhemisph...Using the daily and monthly data of surface air pressure, meridional wind, radiation and water vapor from NCEP/NCAR reanalysis for the period of 1979―2006, we have examined the seasonal variations of the interhemispheric oscillations (IHO) in mass field of the global atmosphere. Our results have demonstrated that IHO as observed in surface air pressure field shows the distinct seasonal cycle. This seasonal cycle has an interhemispheric seesaw structure with comparable annual ranges of surface air pressure in the Southern and Northern Hemispheres. Mass of water vapor changes out-of-phase between the Southern and Northern Hemispheres, showing clearly a seasonal cycle with its annual range almost equivalent to annual range of the IHO seasonal cycle. Amazingly, the cross-equatorial flow is found to be induced by annual changes in water vapor mass as a response of the atmosphere to seasonal cycle of forcing from hemispheric net surface short- and long-wave radiations. The IHO seasonality exhibits its larger variations in magnitude in mid-latitudes other than in other regions of the globe. Additionally, our results also show that the global air mass is redistributed seasonally not only between the Northern and Southern Hemispheres but also between land and sea. This land-sea air mass redis- tribution induces a zonal pattern of surface air pressure in the Northern Hemisphere but the meridional pattern in the Southern Hemisphere.展开更多
文摘南北两半球大气中高纬度之间的相互作用与季风等跨半球的天气气候系统存在着密切联系,由于涉及全球范围的大尺度环流与能量变化,其联系途径与机理受到学者们的广泛关注。本文结合ERA5再分析资料以及CMIP6中MPI-ESM1-2-HR模式历史输出资料,验证了冬季南北半球际大气质量涛动(Inter-Hemispheric atmospheric mass Oscillation, IHO)与东亚冬季风异常的联系及其对中国冬季气温的影响。研究表明,再分析资料以及模式结果均表明冬季IHO与东亚冬季风存在显著的正相关关系。IHO通过全球大气质量再分配与东亚冬季风建立起紧密的联系。当IHO为正位相时,大气质量在欧亚大陆北部异常堆积,而在中低纬地区异常亏损,这使得东亚地区海陆气压差明显增大,冬季风增强,同时对中国华中地区冬季地表气温具有显著影响;反之亦然。进一步分析发现,热带低平流层气温可以通过剩余环流调节臭氧含量经向分布进而影响南极对流层气温,从而对IHO年际变化起主要的驱动作用。
文摘本文基于WRF模式研究了2015年5月16~17日广东西南地区的一次暴雨过程的预报误差来源。首先比较了以NCEPFNL为初始资料的WRF模式的模拟预报(记为WRFFNL)和ECMWF(European Centre for Medium-Range Weather Forecasts)关于该次暴雨过程的确定性预报。结果表明,ECMWF具有较高的预报技巧,因此,认为ECMWF的模式和初始场都较为准确。进一步,以ECMWF的初值作为初始场,选用相同的物理参数化方案,再次用WRF模式进行预报(预报结果记为WRFEC)。结果表明相对WRFFNL,WRFEC的预报结果有明显改善。这表明,初始场的改进对预报有较大的影响,初始误差是预报误差的重要来源。进一步,分析了初始误差的主要来源区域和来源变量。结果表明,南海北部湾至广西西南区域为本次暴雨预报初始误差的主要来源区域,而初始温度场和初始湿度场则为此次暴雨预报初始误差的主要来源变量。同时改进初始温度场和湿度场可以较大程度提高本次暴雨过程的预报技巧。
文摘基于WRF模式(Weather Research and Forecasting Model)分析2020年超长梅汛期内11次强降水事件的预报误差来源。分别以FNL(Final Global Data Assimilation System)、TIGGE_EC(THORPEX Interactive Grand Global Ensemble from European Centre for Medium-Range Weather Forecasts)作为初始场进行预报,对比预报结果发现,TIGGE_EC初始场的预报结果普遍优于FNL,这说明初始条件的不确定性对预报结果有重要影响。进一步探究初始条件不确定性(初始误差)来源的区域(敏感区)和变量(敏感变量)发现,敏感区集中分布于降水区西侧上游,相对应的敏感变量为水汽场。分别考察动能、有效位能以及比湿能在初始误差总能量中的占比,结果表明,扰动比湿能占比最小,但敏感性试验表明比湿场扰动对预报效果的影响最大。选取比湿场扰动对预报效果影响最大且WRF_EC具有更好预报效果的6个暴雨事件,通过HYSPLIT后向轨迹模式分别追踪其累计降水量最大值点的水汽来源及路径发现,有6个事件均有向降水区西侧上游延伸的水汽来源通道,进一步表明了敏感区的初始水汽场的准确性对暴雨预报的影响。因此降水区西侧上游的水汽场的误差是这11次梅汛期暴雨过程重要的预报误差来源,对其准确描述可有助于预报效果的提升。
基金the National Natural Science Foundation of China (Grant No. 40675025)the Project of National Key Basic Research Development (Grant No. 2004CB418302)the Key Lab of Meteorological Disasters (KLME) of Nanjing University of Information Science and Technology (NUIST) (Grant No. KLME060101)
文摘Using the daily and monthly data of surface air pressure, meridional wind, radiation and water vapor from NCEP/NCAR reanalysis for the period of 1979―2006, we have examined the seasonal variations of the interhemispheric oscillations (IHO) in mass field of the global atmosphere. Our results have demonstrated that IHO as observed in surface air pressure field shows the distinct seasonal cycle. This seasonal cycle has an interhemispheric seesaw structure with comparable annual ranges of surface air pressure in the Southern and Northern Hemispheres. Mass of water vapor changes out-of-phase between the Southern and Northern Hemispheres, showing clearly a seasonal cycle with its annual range almost equivalent to annual range of the IHO seasonal cycle. Amazingly, the cross-equatorial flow is found to be induced by annual changes in water vapor mass as a response of the atmosphere to seasonal cycle of forcing from hemispheric net surface short- and long-wave radiations. The IHO seasonality exhibits its larger variations in magnitude in mid-latitudes other than in other regions of the globe. Additionally, our results also show that the global air mass is redistributed seasonally not only between the Northern and Southern Hemispheres but also between land and sea. This land-sea air mass redis- tribution induces a zonal pattern of surface air pressure in the Northern Hemisphere but the meridional pattern in the Southern Hemisphere.
