During the era of global warming and highly urbanized development,extreme and high impact weather as well as air pollution incidents influence everyday life and might even cause the incalculable loss of life and property.Despite the vast development of atmospheric models,there still exist substantial numerical forecast biases objectively.To accurately predict extreme weather,severe air pollution,and abrupt cli-mate change,numerical atmospheric model requires not only to simulate meteorology and atmospheric compositions simultaneously involving many sophisticated physical and chemical processes but also at high spatiotemporal resolution.Global integrated atmospheric simulation at spatial resolutions of a few kilometers remains challenging due to its intensive computational and input/output(I/O)requirement.Through multi-dimension-parallelism structuring,aggressive and finer-grained opti-mizing,manual vectorizing,and parallelized I/O fragmenting,an integrated Atmospheric Model Across Scales(iAMAS)was established on the new Sunway supercomputer platform to significantly increase the computational efficiency and reduce the I/O cost.The global 3-km atmospheric simulation for mete-orology with online integrated aerosol feedbacks with iAMAS was scaled to 39,000,000 processor cores and achieved the speed of 0.82 simulation day per hour(SDPH)with routine I/O,which enabled us to per-form 5-day global weather forecast at 3-km horizontal resolution with online natural aerosol impacts.The results demonstrate the promising future that the increasing of spatial resolution to a few kilometers with online integrated aerosol feedbacks may significantly improve the global weather forecast.

Jun Gu;Jiawang Feng;Xiaoyu Hao;Tao Fang;Chun Zhao;Hong An;Junshi Chen;Mingyue Xu;Jian Li;Wenting Han;Chao Yang;Fang Li;Dexun Chen

School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,China;School of Computer Science and Technology,University of Science and Technology of China,Hefei 230026,China;CAS Center for Excellence in Comparative Planetology,University of Science and Technology of China,Hefei 230026,China;Frontiers Science Center for Planetary Exploration and Emerging Technologies,University of Science and Technology of China,Hefei 230026,China;Chinese Academy of Meteorological Sciences,Beijing 100081,China;School of Mathematical Sciences,Peking University,Beijing 100871,China;Jiangnan Institute of Computing Technology,Wuxi 214122,China;Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China

科学通报（英文版）

[1]Jun Gu;Jiawang Feng;Xiaoyu Hao;Tao Fang;Chun Zhao;Hong An;Junshi Chen;Mingyue Xu;Jian Li;Wenting Han;Chao Yang;Fang Li;Dexun Chen-.Establishing a non-hydrostatic global atmospheric modeling system at 3-km horizontal resolution with aerosol feedbacks on the Sunway supercomputer of China)[J].科学通报（英文版）,2022(11):1170-1181

Sunway,supercomputer,incalculable,vectorizing,fragmenting,iAMAS,orology,SDPH

Establishing,hydrostatic,global,atmospheric,modeling,system,horizontal,aerosol,feedbacks,China,During,era,warming,highly,urbanized,development,extreme,weather,well,air,pollution,incidents,influence,everyday,life,might,even,cause,loss,property,Despite,vast,models,there,still,exist,substantial,numerical,forecast,biases,objectively,To,accurately,predict,severe,abrupt,cli,mate,change,requires,not,only,simulate,meteorology,compositions,simultaneously,involving,many,sophisticated,physical,chemical,processes,but,also,spatiotemporal,Global,integrated,simulation,spatial,resolutions,few,kilometers,remains,challenging,due,its,intensive,computational,input,output,requirement,Through,multi,dimension,parallelism,structuring,aggressive,finer,grained,opti,mizing,manual,parallelized,Atmospheric,Model,Across,Scales,was,established,new,platform,significantly,increase,efficiency,reduce,cost,online,scaled,processor,cores,achieved,speed,hour,routine,which,enabled,natural,impacts,results,demonstrate,promising,future,that,increasing,may,improve

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