Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform  

作　　者：Alexander Mahura Alexander Baklanov Risto Makkonen Michael Boy Tuukka Petäjä Hanna KLappalainen Roman Nuterman Veli-Matti Kerminen Stephen R.Arnold Markus Jochum Anatoly Shvidenko Igor Esau Mikhail Sofiev Andreas Stohl Tuula Aalto Jianhui Bai Chuchu Chen Yafang Cheng Oxana Drofa Mei Huang Leena Järvi Harri Kokkola Rostislav Kouznetsov Tingting Li Piero Malguzzi Sarah Monks Mads Bruun Poulsen Steffen M.Noe Yuliia Palamarchuk Benjamin Foreback Petri Clusiu Till Andreas Soya Rasmussen Jun She Jens Havskov Sørensen Dominick Spracklen Hang Su Juha Tonttila Siwen Wang Jiandong Wang Tobias Wolf-Grosse Yongqiang Yu Qing Zhang Wei Zhang Wen Zhang Xunhua Zheng Siqi Li Yong Li Putian Zhou Markku Kulmala 

机构地区：[1]Faculty of Science,Institute for Atmospheric and Earth System Research(INAR)/Physics,University of Helsinki(UHEL),Helsinki,Finland [2]Science and Innovation Department,World Meteorological Organization(WMO),Geneva,Switzerland [3]Niels Bohr Institute,University of Copenhagen,Copenhagen,Denmark [4]Climate System Research,Finnish Meteorological Institute(CSR-FMI),Helsinki,Finland [5]School of Engineering Sciences,Lappeenranta University of Technology,Lappeenranta,Finland [6]Institute for Climate and Atmospheric Science,School of Earth and Environment,University of Leeds,Leeds,UK [7]Biodiversity and Natural Resources Program,International Institute for Applied Systems Analysis(IIASA),Laxenburg,Austria [8]Department of Physics and Technology,UiT-The Arctic University of Norway,Tromso,Norway [9]Nansen Environmental and Remote Sensing Center(NERSC),Bergen,Norway [10]Atmospheric Composition,Finnish Meteorological Institute(AC-FMI),Helsinki,Finland [11]Norwegian Institute for Air Research(NILU),Kjeller,Norway [12]LAGEO,Institute of Atmospheric Physics,Chinese Academy of Sciences(IAP-CAS),Beijing,China [13]Max Planck Institute for Chemistry(MPI-Chem),Mainz,Germany [14]Institute of Atmospheric Sciences and Climate,National Research Council of Italy(CNR-15SAC),Bologna,Italy [15]Institute of Geographic Sciences and Natural Resources Research(IGSNRR),Chinese Academy of Sciences(CAS),Beijing,China [16]Faculty of Science,Helsinki Institute of Sustainability Science(HELSUS),University of Helsinki(UHEL),Helsinki,Finland [17]Atmospheric Research Centre of Eastern Finland,Finnish Meteorological Institute(ARCEF-FMI),Kuopio,Finland [18]Institute of Atmospheric Physics,Chinese Academy of Sciences(IAP-CAS),Beijing,China [19]Department of Plant Physiology,Estonian University of Life Sciences(EULS),Institute of Agricultural and Environmental Sciences(IAES),Tartu,Estonia [20]Danish Meteorological Institute(DMI),Copenhagen,Denmark [21]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC),Institute of

出　　处：《Big Earth Data》2024年第2期189-230,共42页地球大数据（英文）

基　　金：the last projects of Prof.Sergej Zilitinkevich(1936-2021);The financial support was/is provided through multiple projects related to the Pan-Eurasian EXperiment(PEEX)programme including Academy of Finland projects-ClimEco(grant#314798/799);ACCC(grant#337549);HEATCOST(grant#334798);European Union’s Horizon 2020 Programme projects-iCUPE under ERA-PLANET(grant#689443),INTAROS(grant#727890),EXHAUSTION(grant#820655),CRiceS(grant#101003826),RI-URBANS(grant#101036245);Horizon Europe project FOCI(grant#101056783);Erasmus+Programme projects-ECOIMPACT(grant#561975-EPP-1-2015-1-FI-EPPKA2-CBHE-JP),ClimEd(grant#619285-EPP-1-2020-1-FIEPPKA2-CBHE-JP);The Norwegian Research Council INTPART educational and networking project(322317/H30):URban Sustainability in Action:Multi-disciplinary Approach through Jointly Organized Research schools;and the EEA project(Contract No.2020TO01000219):Turbulent-resolving urban modelling of air quality and thermal comfort(TURBAN).

摘　　要：The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research Programme.The PEEX MP has more than 30 models and is directed towards seamless envir-onmental prediction.The main focus area is the Arctic-boreal regions and China.The models used in PEEX-MP cover several main components of the Earth’s system,such as the atmosphere,hydrosphere,pedosphere and biosphere,and resolve the physicalchemicalbiological processes at different spatial and temporal scales and resolutions.This paper introduces and discusses PEEX MP multi-scale modelling concept for the Earth system,online integrated,forward/inverse,and socioeconomical modelling,and other approaches with a particular focus on applications in the PEEX geographical domain.The employed high-performance com-puting facilities,capabilities,and PEEX dataflow for modelling results are described.Several virtual research platforms(PEEXView,Virtual Research Environment,Web-based Atlas)for handling PEEX modelling and observational results are introduced.The over-all approach allows us to understand better physical-chemicalbiological processes,Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks,impact,consequences,etc.for population,envir-onment and climate in the PEEX domain.This work was also one of the last projects of Prof.Sergej Zilitinkevich,who passed away on 15 February 2021.Since the finalization took time,the paper was actually submitted in 2023 and we could not argue that the final paper text was agreed with him.

关 键 词：Multi-scale and-processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms 

分 类 号：S15[农业科学—土壤学]