Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform
作者机构:Faculty of ScienceInstitute for Atmospheric and Earth System Research(INAR)/PhysicsUniversity of Helsinki(UHEL)HelsinkiFinland Science and Innovation DepartmentWorld Meteorological Organization(WMO)GenevaSwitzerland Niels Bohr InstituteUniversity of CopenhagenCopenhagenDenmark Climate System ResearchFinnish Meteorological Institute(CSR-FMI)HelsinkiFinland School of Engineering SciencesLappeenranta University of TechnologyLappeenrantaFinland Institute for Climate and Atmospheric ScienceSchool of Earth and EnvironmentUniversity of LeedsLeedsUK Biodiversity and Natural Resources ProgramInternational Institute for Applied Systems Analysis(IIASA)LaxenburgAustria Department of Physics and TechnologyUiT-The Arctic University of NorwayTromsoNorway Nansen Environmental and Remote Sensing Center(NERSC)BergenNorway Atmospheric CompositionFinnish Meteorological Institute(AC-FMI)HelsinkiFinland Norwegian Institute for Air Research(NILU)KjellerNorway LAGEOInstitute of Atmospheric PhysicsChinese Academy of Sciences(IAP-CAS)BeijingChina Max Planck Institute for Chemistry(MPI-Chem)MainzGermany Institute of Atmospheric Sciences and ClimateNational Research Council of Italy(CNR-15SAC)BolognaItaly Institute of Geographic Sciences and Natural Resources Research(IGSNRR)Chinese Academy of Sciences(CAS)BeijingChina Faculty of ScienceHelsinki Institute of Sustainability Science(HELSUS)University of Helsinki(UHEL)HelsinkiFinland Atmospheric Research Centre of Eastern FinlandFinnish Meteorological Institute(ARCEF-FMI)KuopioFinland Institute of Atmospheric PhysicsChinese Academy of Sciences(IAP-CAS)BeijingChina Department of Plant PhysiologyEstonian University of Life Sciences(EULS)Institute of Agricultural and Environmental Sciences(IAES)TartuEstonia Danish Meteorological Institute(DMI)CopenhagenDenmark State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC)Institute of Atmospheric Physics(IAP)Chinese Academy of Sciences(CAS)BeijingChina University of Chinese Academy of Sciences(UCAS)BeijingChina
出 版 物:《Big Earth Data》 (地球大数据(英文))
年 卷 期:2024年第8卷第2期
页 面:189-230页
核心收录:
学科分类:09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学]
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)
主 题:Multi-scale and-processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms
摘 要:The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research *** PEEX MP has more than 30 models and is directed towards seamless envir-onmental *** main focus area is the Arctic-boreal regions and *** 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 *** 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 *** employed high-performance com-puting facilities,capabilities,and PEEX dataflow for modelling results are *** virtual research platforms(PEEXView,Virtual Research Environment,Web-based Atlas)for handling PEEX modelling and observational results are *** 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,*** population,envir-onment and climate in the PEEX *** work was also one of the last projects of *** Zilitinkevich,who passed away on 15 February *** 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.