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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, Autor
Baklanov, Alexander1, Autor
Makkonen, Risto1, Autor
Boy, Michael1, Autor
Petaja, Tuukka1, Autor
Lappalainen, Hanna K.1, Autor
Nuterman, Roman1, Autor
Kerminen, Veli-Matti1, Autor
Arnold, Stephen R.1, Autor
Jochum, Markus1, Autor
Shvidenko, Anatoly1, Autor
Esau, Igor1, Autor
Sofiev, Mikhail1, Autor
Stohl, Andreas1, Autor
Aalto, Tuula1, Autor
Bai, Jianhui1, Autor
Chen, Chuchu2, Autor           
Cheng, Yafang2, Autor           
Drofa, Oxana1, Autor
Huang, Mei1, Autor
Jarvi, Leena1, AutorKokkola, Harri1, AutorKouznetsov, Rostislav1, AutorLi, Tingting1, AutorMalguzzi, Piero1, AutorMonks, Sarah1, AutorPoulsen, Mads Bruun1, AutorNoe, Steffen M.1, AutorPalamarchuk, Yuliia1, AutorForeback, Benjamin1, AutorClusius, Petri1, AutorRasmussen, Till Andreas Soya1, AutorShe, Jun1, AutorSorensen, Jens Havskov1, AutorSpracklen, Dominick1, AutorSu, Hang1, AutorTonttila, Juha1, AutorWang, Siwen1, AutorWang, Jiandong1, AutorWolf-Grosse, Tobias1, AutorYu, Yongqiang1, AutorZhang, Qing1, AutorZhang, Wei1, AutorZhang, Wen1, AutorZheng, Xunhua1, AutorLi, Siqi1, AutorLi, Yong1, AutorZhou, Putian1, AutorKulmala, Markku1, Autor mehr..
Affiliations:
1external, ou_persistent22              
2Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              

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 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2024-04-09
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISI: 001199315700001
DOI: 10.1080/20964471.2024.2325019
 Art des Abschluß: -

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Titel: Big earth data
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: London : Taylor & Francos Group
Seiten: 44 Band / Heft: 8 Artikelnummer: - Start- / Endseite: - Identifikator: ISSN: 2574-5417
CoNE: https://pure.mpg.de/cone/journals/resource/2574-5417