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

Alexander Mahura (Corresponding author), Alexander A. Baklanov (Corresponding author), 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 HuangLeena Järvi, Harri Kokkola, Rostislav Kouznetsov, Tingting Li, Piero Malguzzi, Sarah A. Monks, Mads Bruun Poulsen, Steffen M. Noe, Yuliia Palamarchuk, Benjamin Foreback, Petri Clusius, Till Andreas Soya Rasmussen, Jun She, Jens Havskov Sørensen, Dominick V. 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

Publications: Contribution to journalArticlePeer Reviewed

Abstract

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 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.

Original languageEnglish
Pages (from-to)189-230
Number of pages42
JournalBig Earth Data
Volume8
Issue number2
Early online date9 Apr 2024
DOIs
Publication statusPublished - 2024

Austrian Fields of Science 2012

  • 105206 Meteorology

Keywords

  • data infrastructure
  • high-performance computing
  • Multi-scale and -processes modelling concept
  • seamless coupling
  • virtual research platforms

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