Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform
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 cove...
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Taylor & Francis Group
2024
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Online Access: | https://doi.org/10.1080/20964471.2024.2325019 https://doaj.org/article/641ddf799cf24b4b9ee153c8267ab48e |
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ftdoajarticles:oai:doaj.org/article:641ddf799cf24b4b9ee153c8267ab48e 2024-09-09T19:27:05+00:00 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 2024-04-01T00:00:00Z https://doi.org/10.1080/20964471.2024.2325019 https://doaj.org/article/641ddf799cf24b4b9ee153c8267ab48e EN eng Taylor & Francis Group https://www.tandfonline.com/doi/10.1080/20964471.2024.2325019 https://doaj.org/toc/2096-4471 https://doaj.org/toc/2574-5417 doi:10.1080/20964471.2024.2325019 2574-5417 2096-4471 https://doaj.org/article/641ddf799cf24b4b9ee153c8267ab48e Big Earth Data, Vol 8, Iss 2, Pp 189-230 (2024) Multi-scale and -processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms Geography. Anthropology. Recreation G Geology QE1-996.5 article 2024 ftdoajarticles https://doi.org/10.1080/20964471.2024.2325019 2024-08-05T17:49:01Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Big Earth Data 8 2 189 230 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Multi-scale and -processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms Geography. Anthropology. Recreation G Geology QE1-996.5 |
spellingShingle |
Multi-scale and -processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms Geography. Anthropology. Recreation G Geology QE1-996.5 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 Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform |
topic_facet |
Multi-scale and -processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms Geography. Anthropology. Recreation G Geology QE1-996.5 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
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 |
author_facet |
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 |
author_sort |
Alexander Mahura |
title |
Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform |
title_short |
Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform |
title_full |
Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform |
title_fullStr |
Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform |
title_full_unstemmed |
Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform |
title_sort |
towards seamless environmental prediction – development of pan-eurasian experiment (peex) modelling platform |
publisher |
Taylor & Francis Group |
publishDate |
2024 |
url |
https://doi.org/10.1080/20964471.2024.2325019 https://doaj.org/article/641ddf799cf24b4b9ee153c8267ab48e |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Big Earth Data, Vol 8, Iss 2, Pp 189-230 (2024) |
op_relation |
https://www.tandfonline.com/doi/10.1080/20964471.2024.2325019 https://doaj.org/toc/2096-4471 https://doaj.org/toc/2574-5417 doi:10.1080/20964471.2024.2325019 2574-5417 2096-4471 https://doaj.org/article/641ddf799cf24b4b9ee153c8267ab48e |
op_doi |
https://doi.org/10.1080/20964471.2024.2325019 |
container_title |
Big Earth Data |
container_volume |
8 |
container_issue |
2 |
container_start_page |
189 |
op_container_end_page |
230 |
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1809896589018267648 |