M
Mats Hamrud
Researcher at European Centre for Medium-Range Weather Forecasts
Publications - 20
Citations - 1638
Mats Hamrud is an academic researcher from European Centre for Medium-Range Weather Forecasts. The author has contributed to research in topics: Numerical weather prediction & Gaussian grid. The author has an hindex of 14, co-authored 20 publications receiving 1540 citations.
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Journal ArticleDOI
The ECMWF implementation of three-dimensional variational assimilation (3D-Var). I: Formulation
Philippe Courtier,Erik Andersson,William A. Heckley,Drasko Vasiljevic,Mats Hamrud,Anthony Hollingsworth,Florence Rabier,Michael Fisher,Jean Pailleux +8 more
TL;DR: The 3D-Var model as discussed by the authors uses a spherical-harmonic expansion, much as the ECMWF optimal interpolation (OI) scheme used an expansion of Bessel functions.
Journal ArticleDOI
Implementation of the Semi-Lagrangian Method in a High-Resolution Version of the ECMWF Forecast Model
Harold Ritchie,Clive Temperton,Adrian Simmons,Mariano Hortal,Terry Davies,David Dent,Mats Hamrud +6 more
TL;DR: In this paper, the semi-Lagrangian method was applied to a high-resolution version of the ECMWF forecast model and its performance was evaluated on a set of 12 independent cases.
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The new ECMWF VAREPS (Variable Resolution Ensemble Prediction System)
Roberto Buizza,Jean-Raymond Bidlot,Nils Wedi,Manuel Fuentes,Mats Hamrud,Graham Holt,Frederic Vitart +6 more
TL;DR: Average results indicate that VAREPS has a higher forecast-time-integrated skill, and it provides better forecasts in the early forecast range without losing accuracy in the long forecast range.
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Impact of model resolution and ensemble size on the performance of an Ensemble Prediction System
Roberto Buizza,T. Petroliagis,Tim Palmer,Jan Barkmeijer,Mats Hamrud,Anthony Hollingsworth,Adrian Simmons,Nils Wedi +7 more
TL;DR: Overall, the best performance was obtained by combining enhancement in model resolution with an increase in ensemble size, from T63L19 to T106L31 and from 32 to 50 members.
Journal ArticleDOI
Revolutionizing Climate Modeling with Project Athena: A Multi-Institutional, International Collaboration
James L. Kinter,Benjamin A. Cash,Deepthi Achuthavarier,Jerry L. Adams,Eric L. Altshuler,Paul A. Dirmeyer,B. Doty,Bohua Huang,Emilia Kyung Jin,L. Marx,Julia V. Manganello,Cristiana Stan,T. Wakefield,Tim Palmer,Mats Hamrud,Thomas Jung,M. J. Miller,Peter Towers,Nils Wedi,Masaki Satoh,Hirofumi Tomita,Chihiro Kodama,Tomoe Nasuno,Kazuyoshi Oouchi,Yohei Yamada,Hiroshi Taniguchi,Pierre Andrews,Troy Baer,M. Ezell,C. Halloy,D. John,B. Loftis,R. Mohr,K. Wong +33 more
TL;DR: 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.