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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Main Authors: 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-Grosse, Tobias, Yu, Yongqiang, Zhang, Qing, Zhang, Wei, Zhang, Wen, Zheng, Xunhua, Li, Siqi, Li, Yong, Zhou, Putian, Kulmala, Markku
Format: Text
Language:unknown
Published: Taylor & Francis 2024
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Online Access:https://dx.doi.org/10.6084/m9.figshare.25567964
https://tandf.figshare.com/articles/journal_contribution/Towards_seamless_environmental_prediction_development_of_Pan-Eurasian_EXperiment_PEEX_modelling_platform/25567964
id ftdatacite:10.6084/m9.figshare.25567964
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.25567964 2024-09-09T19:25:22+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-Grosse, Tobias Yu, Yongqiang Zhang, Qing Zhang, Wei Zhang, Wen Zheng, Xunhua Li, Siqi Li, Yong Zhou, Putian Kulmala, Markku 2024 https://dx.doi.org/10.6084/m9.figshare.25567964 https://tandf.figshare.com/articles/journal_contribution/Towards_seamless_environmental_prediction_development_of_Pan-Eurasian_EXperiment_PEEX_modelling_platform/25567964 unknown Taylor & Francis https://dx.doi.org/10.1080/20964471.2024.2325019 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Environmental Sciences not elsewhere classified Ecology FOS Biological sciences Biological Sciences not elsewhere classified Information Systems not elsewhere classified Science Policy Computational Biology Text Journal contribution ScholarlyArticle article-journal 2024 ftdatacite https://doi.org/10.6084/m9.figshare.2556796410.1080/20964471.2024.2325019 2024-08-01T09:06:13Z 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 ... Text Arctic DataCite Arctic
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language unknown
topic Environmental Sciences not elsewhere classified
Ecology
FOS Biological sciences
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Science Policy
Computational Biology
spellingShingle Environmental Sciences not elsewhere classified
Ecology
FOS Biological sciences
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Science Policy
Computational Biology
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-Grosse, 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 ...
topic_facet Environmental Sciences not elsewhere classified
Ecology
FOS Biological sciences
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Science Policy
Computational Biology
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 ...
format Text
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-Grosse, Tobias
Yu, Yongqiang
Zhang, Qing
Zhang, Wei
Zhang, Wen
Zheng, Xunhua
Li, Siqi
Li, Yong
Zhou, Putian
Kulmala, Markku
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-Grosse, 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 ...
publisher Taylor & Francis
publishDate 2024
url https://dx.doi.org/10.6084/m9.figshare.25567964
https://tandf.figshare.com/articles/journal_contribution/Towards_seamless_environmental_prediction_development_of_Pan-Eurasian_EXperiment_PEEX_modelling_platform/25567964
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.1080/20964471.2024.2325019
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.6084/m9.figshare.2556796410.1080/20964471.2024.2325019
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