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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Online Access: | https://hdl.handle.net/11250/3133664 https://doi.org/10.1080/20964471.2024.2325019 |
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ftnilu:oai:nilu.brage.unit.no:11250/3133664 2024-09-09T19:26:38+00:00 Towards seamless environmental prediction–development of Pan-Eurasian EXperiment (PEEX) modelling platform Mahura, Alexander Baklanov, Alexander Makkonen, Risto Boy, Michael Petäjä, Tuukka Lappalainen, Hanna K. Nuterman, Roman Kerminen, Veli-Matti Arnold, Stephen R. Jochum, Markus Shvidenko, Anatoly Esau, Igor Sofiev, Mikhail Stohl, Andreas Aalto, Tuula Bai, Jianhui Chen, Chuchu Cheng, Yafang Drofa, Oxana Huang, Mei Järvi, Leena Kokkola, Harri Kouznetsov, Rostislav Li, Tingting Malguzzi, Piero Monks, Sarah Poulsen, Mads Bruun Noe, Steffen M. Palamarchuk, Yuliia Foreback, Benjamin Clusius, Petri Rasmussen, Till Andreas Soya She, Jun Sørensen, Jens Havskov Spracklen, Dominick Su, Hang Tonttila, Juha Wang, Siwen Wang, Jiandong Wolf, Tobias Yu, Yongqiang Zhang, Qing Zhang, Wei Zhang, Wen Zheng, Xunhua Li, Siqi Li, Yong Zhou, Putian Kulmala, Markku 2024 application/pdf https://hdl.handle.net/11250/3133664 https://doi.org/10.1080/20964471.2024.2325019 eng eng Norges forskningsråd: 322317 Big Earth Data. 2024, 8, 189-230. urn:issn:2096-4471 https://hdl.handle.net/11250/3133664 https://doi.org/10.1080/20964471.2024.2325019 cristin:2266981 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2024 The Author(s). 189-230 8 Big Earth Data Peer reviewed Journal article 2024 ftnilu https://doi.org/10.1080/20964471.2024.2325019 2024-06-17T23:32:49Z 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. publishedVersion Article in Journal/Newspaper Arctic NILU – Norwegian Institute for Air Research: NILU Brage Arctic Big Earth Data 8 2 189 230 |
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Open Polar |
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NILU – Norwegian Institute for Air Research: NILU Brage |
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ftnilu |
language |
English |
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. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Mahura, Alexander Baklanov, Alexander Makkonen, Risto Boy, Michael Petäjä, Tuukka Lappalainen, Hanna K. Nuterman, Roman Kerminen, Veli-Matti Arnold, Stephen R. Jochum, Markus Shvidenko, Anatoly Esau, Igor Sofiev, Mikhail Stohl, Andreas Aalto, Tuula Bai, Jianhui Chen, Chuchu Cheng, Yafang Drofa, Oxana Huang, Mei Järvi, Leena Kokkola, Harri Kouznetsov, Rostislav Li, Tingting Malguzzi, Piero Monks, Sarah Poulsen, Mads Bruun Noe, Steffen M. Palamarchuk, Yuliia Foreback, Benjamin Clusius, Petri Rasmussen, Till Andreas Soya She, Jun Sørensen, Jens Havskov Spracklen, Dominick Su, Hang Tonttila, Juha Wang, Siwen Wang, Jiandong Wolf, Tobias Yu, Yongqiang Zhang, Qing Zhang, Wei Zhang, Wen Zheng, Xunhua Li, Siqi Li, Yong Zhou, Putian Kulmala, Markku |
spellingShingle |
Mahura, Alexander Baklanov, Alexander Makkonen, Risto Boy, Michael Petäjä, Tuukka Lappalainen, Hanna K. Nuterman, Roman Kerminen, Veli-Matti Arnold, Stephen R. Jochum, Markus Shvidenko, Anatoly Esau, Igor Sofiev, Mikhail Stohl, Andreas Aalto, Tuula Bai, Jianhui Chen, Chuchu Cheng, Yafang Drofa, Oxana Huang, Mei Järvi, Leena Kokkola, Harri Kouznetsov, Rostislav Li, Tingting Malguzzi, Piero Monks, Sarah Poulsen, Mads Bruun Noe, Steffen M. Palamarchuk, Yuliia Foreback, Benjamin Clusius, Petri Rasmussen, Till Andreas Soya She, Jun Sørensen, Jens Havskov Spracklen, Dominick Su, Hang Tonttila, Juha Wang, Siwen Wang, Jiandong Wolf, Tobias Yu, Yongqiang Zhang, Qing Zhang, Wei Zhang, Wen Zheng, Xunhua Li, Siqi Li, Yong Zhou, Putian Kulmala, Markku Towards seamless environmental prediction–development of Pan-Eurasian EXperiment (PEEX) modelling platform |
author_facet |
Mahura, Alexander Baklanov, Alexander Makkonen, Risto Boy, Michael Petäjä, Tuukka Lappalainen, Hanna K. Nuterman, Roman Kerminen, Veli-Matti Arnold, Stephen R. Jochum, Markus Shvidenko, Anatoly Esau, Igor Sofiev, Mikhail Stohl, Andreas Aalto, Tuula Bai, Jianhui Chen, Chuchu Cheng, Yafang Drofa, Oxana Huang, Mei Järvi, Leena Kokkola, Harri Kouznetsov, Rostislav Li, Tingting Malguzzi, Piero Monks, Sarah Poulsen, Mads Bruun Noe, Steffen M. Palamarchuk, Yuliia Foreback, Benjamin Clusius, Petri Rasmussen, Till Andreas Soya She, Jun Sørensen, Jens Havskov Spracklen, Dominick Su, Hang Tonttila, Juha Wang, Siwen Wang, Jiandong Wolf, Tobias Yu, Yongqiang Zhang, Qing Zhang, Wei Zhang, Wen Zheng, Xunhua Li, Siqi Li, Yong Zhou, Putian Kulmala, Markku |
author_sort |
Mahura, Alexander |
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 |
publishDate |
2024 |
url |
https://hdl.handle.net/11250/3133664 https://doi.org/10.1080/20964471.2024.2325019 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
189-230 8 Big Earth Data |
op_relation |
Norges forskningsråd: 322317 Big Earth Data. 2024, 8, 189-230. urn:issn:2096-4471 https://hdl.handle.net/11250/3133664 https://doi.org/10.1080/20964471.2024.2325019 cristin:2266981 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2024 The Author(s). |
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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1809896209838505984 |