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

Mahura, A., Baklanov, A., Makkonen, R., Boy, M., Petaja, T., Lappalainen, H. K., et al. (2024). Towards seamless environmental prediction - development of Pan-Eurasian EXperiment (PEEX) modelling platform. Big earth data, 8. doi:10.1080/20964471.2024.2325019.

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Mahura, Alexander1, Author
Baklanov, Alexander1, Author
Makkonen, Risto1, Author
Boy, Michael1, Author
Petaja, Tuukka1, Author
Lappalainen, Hanna K.1, Author
Nuterman, Roman1, Author
Kerminen, Veli-Matti1, Author
Arnold, Stephen R.1, Author
Jochum, Markus1, Author
Shvidenko, Anatoly1, Author
Esau, Igor1, Author
Sofiev, Mikhail1, Author
Stohl, Andreas1, Author
Aalto, Tuula1, Author
Bai, Jianhui1, Author
Chen, Chuchu2, Author           
Cheng, Yafang2, Author           
Drofa, Oxana1, Author
Huang, Mei1, Author
Jarvi, Leena1, AuthorKokkola, Harri1, AuthorKouznetsov, Rostislav1, AuthorLi, Tingting1, AuthorMalguzzi, Piero1, AuthorMonks, Sarah1, AuthorPoulsen, Mads Bruun1, AuthorNoe, Steffen M.1, AuthorPalamarchuk, Yuliia1, AuthorForeback, Benjamin1, AuthorClusius, Petri1, AuthorRasmussen, Till Andreas Soya1, AuthorShe, Jun1, AuthorSorensen, Jens Havskov1, AuthorSpracklen, Dominick1, AuthorSu, Hang1, AuthorTonttila, Juha1, AuthorWang, Siwen1, AuthorWang, Jiandong1, AuthorWolf-Grosse, Tobias1, AuthorYu, Yongqiang1, AuthorZhang, Qing1, AuthorZhang, Wei1, AuthorZhang, Wen1, AuthorZheng, Xunhua1, AuthorLi, Siqi1, AuthorLi, Yong1, AuthorZhou, Putian1, AuthorKulmala, Markku1, Author more..
Affiliations:
1external, ou_persistent22              
2Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              

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 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.

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Language(s): eng - English
 Dates: 2024-04-09
 Publication Status: Published online
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Title: Big earth data
Source Genre: Journal
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Publ. Info: London : Taylor & Francos Group
Pages: 44 Volume / Issue: 8 Sequence Number: - Start / End Page: - Identifier: ISSN: 2574-5417
CoNE: https://pure.mpg.de/cone/journals/resource/2574-5417