TY - JOUR
T1 - Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform
AU - Mahura, Alexander
AU - Baklanov, Alexander
AU - Makkonen, Risto
AU - Boy, Michael
AU - Petäjä, Tuukka
AU - Lappalainen, Hanna K.
AU - Nuterman, Roman
AU - Kerminen, Veli-Matti
AU - Arnold, Stephen R.
AU - Markus, Jochum
AU - Shvidenko, Anatoly
AU - Esau, Igor
AU - Sofiev, Mikhail
AU - Stohl, Andreas
AU - Aalto, Tuula
AU - Bai, Jianhui
AU - Chen, Chuchu
AU - Cheng, Yafang
AU - Drofa, Oxana
AU - Huang, Mei
AU - Järvi, Leena
AU - Kokkola, Harri
AU - Kouznetsov, Rostislav
AU - Li, Tingting
AU - Malguzzi, Piero
AU - Monks, Sarah
AU - Poulsen, Mads Bruun
AU - Noe, Steffen M.
AU - Palamarchuk, Yuliia
AU - Foreback, Benjamin
AU - Clusius, Petri Sebastian
AU - Rasmussen, Till Andreas Soya
AU - She, Jun
AU - Sørensen, Jens Havskov
AU - Spracklen, Dominick
AU - Su, Hang
AU - Tonttila, Juha
AU - Wang, Siwen
AU - Wang, Jiandong
AU - Wolf-Grosse, Tobias
AU - Yu, Yongqiang
AU - Zhang, Qing
AU - Zhang, Wei
AU - Zhang, Wen
AU - Zheng, Xunhua
AU - Li, Siqi
AU - Li, Yong
AU - Zhou, Putian
AU - Kulmala, Markku
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - data infrastructure
KW - high-performance computing
KW - Multi-scale and -processes modelling concept
KW - seamless coupling
KW - virtual research platforms
KW - 114 Physical sciences
KW - 1172 Environmental sciences
KW - 1171 Geosciences
KW - 112 Statistics and probability
U2 - 10.1080/20964471.2024.2325019
DO - 10.1080/20964471.2024.2325019
M3 - Article
AN - SCOPUS:85190453496
SN - 2096-4471
VL - 8
SP - 189
EP - 230
JO - Big Earth Data
JF - Big Earth Data
IS - 2
ER -