Big Earth Data (Apr 2024)
Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform
- Alexander Mahura,
- Alexander Baklanov,
- Risto Makkonen,
- Michael Boy,
- Tuukka Petäjä,
- Hanna K. Lappalainen,
- 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 Clusius,
- 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
Affiliations
- Alexander Mahura
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Alexander Baklanov
- Science and Innovation Department, World Meteorological Organization (WMO), Geneva, Switzerland
- Risto Makkonen
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Michael Boy
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Tuukka Petäjä
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Hanna K. Lappalainen
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Roman Nuterman
- Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
- Veli-Matti Kerminen
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Stephen R. Arnold
- Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
- Markus Jochum
- Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
- Anatoly Shvidenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
- Igor Esau
- Department of Physics and Technology, UiT - The Arctic University of Norway, Tromso, Norway
- Mikhail Sofiev
- Atmospheric Composition, Finnish Meteorological Institute (AC-FMI), Helsinki, Finland
- Andreas Stohl
- Norwegian Institute for Air Research (NILU), Kjeller, Norway
- Tuula Aalto
- Climate System Research, Finnish Meteorological Institute (CSR-FMI), Helsinki, Finland
- Jianhui Bai
- LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, China
- Chuchu Chen
- Max Planck Institute for Chemistry (MPI-Chem), Mainz, Germany
- Yafang Cheng
- Max Planck Institute for Chemistry (MPI-Chem), Mainz, Germany
- Oxana Drofa
- Institute of Atmospheric Sciences and Climate, National Research Council of Italy (CNR-ISAC), Bologna, Italy
- Mei Huang
- Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, China
- Leena Järvi
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Harri Kokkola
- Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute (ARCEF-FMI), Kuopio, Finland
- Rostislav Kouznetsov
- Atmospheric Composition, Finnish Meteorological Institute (AC-FMI), Helsinki, Finland
- Tingting Li
- Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, China
- Piero Malguzzi
- Institute of Atmospheric Sciences and Climate, National Research Council of Italy (CNR-ISAC), Bologna, Italy
- Sarah Monks
- Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
- Mads Bruun Poulsen
- Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
- Steffen M. Noe
- Department of Plant Physiology, Estonian University of Life Sciences (EULS), Institute of Agricultural and Environmental Sciences (IAES), Tartu, Estonia
- Yuliia Palamarchuk
- Atmospheric Composition, Finnish Meteorological Institute (AC-FMI), Helsinki, Finland
- Benjamin Foreback
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Petri Clusius
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Till Andreas Soya Rasmussen
- Danish Meteorological Institute (DMI), Copenhagen, Denmark
- Jun She
- Danish Meteorological Institute (DMI), Copenhagen, Denmark
- Jens Havskov Sørensen
- Danish Meteorological Institute (DMI), Copenhagen, Denmark
- Dominick Spracklen
- Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
- Hang Su
- Max Planck Institute for Chemistry (MPI-Chem), Mainz, Germany
- Juha Tonttila
- Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute (ARCEF-FMI), Kuopio, Finland
- Siwen Wang
- Max Planck Institute for Chemistry (MPI-Chem), Mainz, Germany
- Jiandong Wang
- Max Planck Institute for Chemistry (MPI-Chem), Mainz, Germany
- Tobias Wolf-Grosse
- Nansen Environmental and Remote Sensing Center (NERSC), Bergen, Norway
- Yongqiang Yu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Qing Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Wei Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Wen Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Xunhua Zheng
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Siqi Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Yong Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China
- Putian Zhou
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
- Markku Kulmala
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki (UHEL), Helsinki, Finland
Abstract
ABSTRACTThe 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 environmental 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 physical-chemical-biological 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 computing facilities, capabilities, and PEEX dataflow for modelling results are described. Several virtual research platforms (PEEX-View, Virtual Research Environment, Web-based Atlas) for handling PEEX modelling and observational results are introduced. The overall approach allows us to understand better physical-chemical-biological processes, Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks, impact, consequences, etc. for population, environment 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.
Keywords
- Multi-scale and -processes modelling concept
- seamless coupling
- high-performance computing
- data infrastructure
- virtual research platforms
