Semi-implicit semi-Lagrangian modelling of the atmosphere: a Met Office perspective-Reference-Cited by-同舟云学术

Semi-implicit semi-Lagrangian modelling of the atmosphere: a Met Office perspective

Published:2016-09-01 Issue:3 Volume:7 Page:4-25
ISSN:2038-0909
Container-title:Communications in Applied and Industrial Mathematics
language:en
Short-container-title:

Author:

Benacchio Tommaso¹,Wood Nigel¹

Affiliation:

1. Met Office, Exeter, United Kingdom of Great Britain and Northern Ireland

Abstract

Abstract The semi-Lagrangian numerical method, in conjunction with semi-implicit time integration, provides numerical weather prediction models with numerical stability for large time steps, accurate modes of interest, and good representation of hydrostatic and geostrophic balance. Drawing on the legacy of dynamical cores at the Met Office, the use of the semi-implicit semi-Lagrangian method in an operational numerical weather prediction context is surveyed, together with details of the solution approach and associated issues and challenges. The numerical properties and performance of the current operational version of the Met Office’s numerical model are then investigated in a simplified setting along with the impact of different modelling choices.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Industrial and Manufacturing Engineering

Reference40 articles.

1. 1. C. Temperton, M. Hortal, and A. J. Simmons, A two-time-level semi- Lagrangian global spectral model, Quarterly Journal of the Royal Meteorological Society, vol. 127, pp. 111-126, 2001.

2. 2. P. Courtier, C. Freydier, J. F. Geleyn, F. Rabier, and M. Rochas, The ARPEGE project at Météo-France, in ECMWF Workshop on Numerical Methods in Atmospheric Modelling, Vol. II, 2, pp. 193-231, 1991.

3. 3. J. Côté, S. Gravel, A. Méthot, A. Patoine, M. Roch, and A. Staniforth, The operational CMC-MRB global environmental multiscale (GEM) model. Part I: Design considerations and formulation, Monthly Weather Review, vol. 126, pp. 1373-1395, 1998.

4. 4. D. Chen, J. Xue, X. Yang, H. Zhang, X. Shen, J. Hu, Y. Wang, L. Ji, and J. Chen, New generation of multi-scale NWP system (GRAPES): general scientific design, Chinese Science Bulletin, vol. 53, pp. 3433- 3445, 2008.

5. 5. Y. Takeuchi and Others, Outline of the operational numerical weather prediction at the Japan Meteorological Agency. Appendix to WMO Technical Progress Report on the Global Data-processing and Forecasting System (GDPFS) and Numerical Weather Prediction (NWP) Research, tech. rep., JMA, 2013. Available at: http://www.jma.go.jp/jma/jma-eng/jma-center/nwp/outline2013-nwp/pdf/outline2013_all.pdf (Last access: 8 May 2015).

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