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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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2024-04-01
Edice:	Big Earth Data
Témata:	Multi-scale and -processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms
On-line přístup:	https://www.tandfonline.com/doi/10.1080/20964471.2024.2325019
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