The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

Autor: A. Müller, W. Deconinck, C. Kühnlein, G. Mengaldo, M. Lange, N. Wedi, P. Bauer, P. K. Smolarkiewicz, M. Diamantakis, S.-J. Lock, M. Hamrud, S. Saarinen, G. Mozdzynski, D. Thiemert, M. Glinton, P. Bénard, F. Voitus, C. Colavolpe, P. Marguinaud, Y. Zheng, J. Van Bever, D. Degrauwe, G. Smet, P. Termonia, K. P. Nielsen, B. H. Sass, J. W. Poulsen, P. Berg, C. Osuna, O. Fuhrer, V. Clement, M. Baldauf, M. Gillard, J. Szmelter, E. O'Brien, A. McKinstry, O. Robinson, P. Shukla, M. Lysaght, M. Kulczewski, M. Ciznicki, W. Piątek, S. Ciesielski, M. Błażewicz, K. Kurowski, M. Procyk, P. Spychala, B. Bosak, Z. P. Piotrowski, A. Wyszogrodzki, E. Raffin, C. Mazauric, D. Guibert, L. Douriez, X. Vigouroux, A. Gray, P. Messmer, A. J. Macfaden, N. New

Publikováno v: Geoscientific Model Development, Vol 12, Pp 4425-4441 (2019)

In the simulation of complex multi-scale flows arising in weather and climate modelling, one of the biggest challenges is to satisfy strict service requirements in terms of time to solution and to satisfy budgetary constraints in terms of energy to s

Externí odkaz: https://doaj.org/article/a9e137bd5e1d4ff1bdb4bf2f6c9818ec

Enviro-HIRLAM online integrated meteorology-chemistry modelling system:strategy, methodology, developments and applications (v7.2)

Autor: A. Baklanov, U. Smith Korsholm, R. Nuterman, A. Mahura, K. P. Nielsen, B. H. Sass, A. Rasmussen, A. Zakey, E. Kaas, A. Kurganskiy, B. Sørensen, I. González-Aparicio

Publikováno v: Baklanov, A, Korsholm, U S, Nuterman, R, Mahura, A, Nielsen, K P, Sass, B H, Rasmussen, A, Zakey, A, Kaas, E, Kurganskiy, A, Sorensen, B & Gonzalez-Aparicio, I 2017, ' Enviro-HIRLAM online integrated meteorology-chemistry modelling system : strategy, methodology, developments and applications (v7.2) ', Geoscientific Model Development, vol. 10, no. 8, pp. 2971-2999 . https://doi.org/10.5194/gmd-10-2971-2017
Geoscientific Model Development, Vol 10, Pp 2971-2999 (2017)

The Environment – High Resolution Limited Area Model (Enviro-HIRLAM) is developed as a fully online integrated numerical weather prediction (NWP) and atmospheric chemical transport (ACT) model for research and forecasting of joint meteorological, c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::280e2147b66fcc8427ed04ecb8f3e587
https://curis.ku.dk/ws/files/182419792/gmd_10_2971_2017.pdf

Road Weather Verification: Revised Approach

Autor: A Mahura, C Petersen, B H Sass, M Eram

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d06a2da3703c5012f79099a984087e54