Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mats Hamrud"'
Recent success in assimilating cloud- and precipitation-affected satellite observations using the “all-sky” approach is thought to have benefitted from variational data assimilation, particularly its ability to handle moderate nonlinearity and no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b9d5c34a0b579e5d84db33de43506ba
Autor:
Milosz Ciznicki, Bent Hansen Sass, Geert Smet, Sami Saarinen, Christian Kühnlein, Gianmarco Mengaldo, Valentin Clément, Xavier Vigouroux, Michal Kulczewski, Michael Glinton, Carlos Osuna, Nils Wedi, Willem Deconinck, Alan Gray, Mats Hamrud, Philippe Marguinaud, Pierre Bénard, Alexander J. Macfaden, Nick New, Parijat Shukla, David Guibert, Erwan Raffin, Bartosz Bosak, George Mozdzynski, Fabrice Voitus, Joanna Szmelter, Yongjun Zheng, Sarah-Jane Lock, Alastair McKinstry, Cyril Mazauric, Charles Colavolpe, Marcin Procyk, Per Berg, Louis Douriez, Michael Lysaght, Sebastian Ciesielski, Mike Gillard, Pawel Spychala, Michail Diamantakis, Michael Lange, Kristian Pagh Nielsen, Jacob Weismann Poulsen, Wojciech Piątek, Piotr K. Smolarkiewicz, Krzysztof Kurowski, Peter Messmer, Oisín Robinson, Daniel Thiemert, Oliver Fuhrer, Andreas Müller, Piet Termonia, Peter Bauer, Daan Degrauwe, Andrzej A. Wyszogrodzki, Joris van Bever, Enda O’Brien, Michael Baldauf, Zbigniew P. Piotrowski, Marek Błażewicz
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 4425-4441 (2019)
Geoscientific Model Development Discussions
GEOSCIENTIFIC MODEL DEVELOPMENT
Geoscientific Model Development Discussions
GEOSCIENTIFIC MODEL DEVELOPMENT
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::83025fb17a365f9a6ac51515f1206d0b
https://doi.org/10.5194/gmd-2018-304
https://doi.org/10.5194/gmd-2018-304
Autor:
Piotr K. Smolarkiewicz, George Mozdzynski, Christian Kühnlein, Mats Hamrud, Nils Wedi, Joanna Szmelter, Willem Deconinck
Publikováno v:
Journal of Computational Physics
The paper documents the development of a global nonhydrostatic finite-volume module designed to enhance an established spectral-transform based numerical weather prediction (NWP) model. The module adheres to NWP standards, with formulation of the gov
Publikováno v:
Monthly Weather Review. 143:4847-4864
The desire to do detailed comparisons between variational and more scalable ensemble-based data assimilation systems in a semioperational environment has led to the development of a state-of-the-art EnKF system at ECMWF. A broad description of the EC
Publikováno v:
Monthly Weather Review. 143:4865-4882
The desire to do detailed comparisons between variational and more scalable ensemble-based data assimilation systems in a semioperational environment has led to the development of a state-of-the-art EnKF system at ECMWF, which has been described in P
Publikováno v:
The International Journal of High Performance Computing Applications. 29:261-273
Today the European Centre for Medium Range Weather Forecasts (ECMWF) runs a 16 km global T1279 operational weather forecast model using 1536 cores of an IBM Power7. Following the historical evolution in resolution upgrades, the ECMWF could expect to
Publikováno v:
Monthly Weather Review. 141:3450-3461
Very high-resolution spectral transform models are believed to become prohibitively expensive because of the relative increase in computational cost of the Legendre transforms compared to the gridpoint computations. This article describes the impleme
Autor:
Bohua Huang, C. Halloy, B. Loftis, Kazuyoshi Oouchi, M. J. Miller, Pierre Andrews, K. Wong, Tim Palmer, Cristiana Stan, Julia V. Manganello, Emilia Kyung Jin, Tomoe Nasuno, T. Wakefield, Hiroshi Taniguchi, Paul A. Dirmeyer, Yohei Yamada, Peter Towers, L. Marx, R. Mohr, D. John, Chihiro Kodama, James L. Kinter, B. Doty, Nils Wedi, Benjamin A. Cash, Thomas Jung, Hirofumi Tomita, Jerry L. Adams, Masaki Satoh, Deepthi Achuthavarier, Eric L. Altshuler, Mats Hamrud, M. Ezell, Troy Baer
The importance of using dedicated high-end computing resources to enable high spatial resolution in global climate models and advance knowledge of the climate system has been evaluated in an international collaboration called Project Athena. Inspired
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1f7af4c6e35a86a0893c07e4d1a0700
https://doi.org/10.1175/bams-d-11-00043.1
https://doi.org/10.1175/bams-d-11-00043.1
Autor:
Joanna Szmelter, Piotr K. Smolarkiewicz, Nils Wedi, George Mozdzynski, Christian Kühnlein, Willem Deconinck, Mats Hamrud
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319321516
PPAM (2)
PPAM (2)
Numerical Weather Prediction (NWP) and climate simulations have been intimately connected with progress in supercomputing since the first numerical forecast was made about 65 years ago. The biggest challenge to state-of-the-art computational NWP aris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d83546f30740f218820456af57e11dd
https://doi.org/10.1007/978-3-319-32152-3_54
https://doi.org/10.1007/978-3-319-32152-3_54
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 133:329-346
This study applies and compares three different ways of assimilating MIPAS data in a global numerical weather prediction system. The three methods are: direct assimilation of emitted infrared limb radiances with a 1-dimensional radiative transfer mod