Multi-Scale Projections Of Weather And Climate At The Uk Met Office
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Due to the availability of unprecedented computational power, national meteorological and hydrological services have had the opportunity to push the limit of predictability beyond the 2 weeks Lorenz suggested in 1963. This has been largely possible through the use of ensemble modelling. The adoption of such a technique has had a twofold effect: by averaging out the most unpredictable scales an ensemble average could directly increase forecast skill; ensembles also provide an estimate of uncertainty. This paper analyses the sources of predictability at different time scales and shows how the ensemble technique has been successfully used to inform decisions on time scales ranging from days to centuries.
- Bowler N. E., Arribas A., Mylne K. R., Robertson K. B. and Beare S. E. 2008: The MOGREPS short-range ensemble prediction system. Quart. J. Roy. Meteorol. Soc., 134, 703–722. CrossRef
- Climate Change 2007: The Physical Science Basis. Fourth assessment report of IPCC, Cambridge University Press, Cambridge. ISBN 978 0521 88009-1.
- Cox P. and Stephenson D. 2006: Changing climate for prediction. Science, 317, 5835.
- Epstein E. S. 1969: Stochastic dynamic predictions. Tellus, 21, 739–759. CrossRef
- Graham R. J., Gordon C., Huddleston M., Davey M., Norton W., Colman A., Scaife A. A. and others 2006: The 2005-6 winter in the United Kingdom and Europe: Part 1: how the Met Office forecast was produced and communicated. Weather, 61, 327–336. CrossRef
- Kalnay E. 2003: Atmospheric modelling, data assimilation and predictability, Cambridge University Press, Cambridge. ISBN 0521791790.
- Leith C. E. 1974: Theoretical skill of Monte Carlo forecasts. Mon. Weather Rev., 102, 409–418. CrossRef
- Lorenz E. N. 1963: Deterministic nonperiodic flow. J. Atmos. Sci., 20, 130–131. CrossRef
- Murphy J. M., Sexton D. M. H., Barnett D. N., Jones G. S., Webb M. J., Collins M., Stainforth D. A. 2004: Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature, 430(12 August 2004), 768–772. CrossRef
- Palmer T. N., Doblas-Reyes F. J., Weisheimer A. and Rodwell M. J. 2008: Toward seamless prediction: calibration of climate change projections using seasonal forecasts. BAMS, 89, 4 (April 2008), 459–470. DOI: 10.1175/BAMS-89-4-459. CrossRef
- Ringer M. A., Martin G., Greeves C., Hinton T., Inness P., James P., Pope V., Scaife A. A., Slingo J., Stratton R. and Yang G. 2006a: The physical properties of the atmosphere in the new Hadley Centre Global Environment Model, HadGEM1. Part I: model description and global climatology. J. Climate, 19, 1274–1301. CrossRef
- Ringer M. A., Martin G., Greeves C., Hinton T., Inness P., James P., Pope V., Scaife A. A., Slingo J., Stratton R. and Yang G. 2006b: The physical properties of the atmsophere in the new Hadley Centre Global Atmospheric Model (HadGEM1): Part II: global variability and regional climate. J. Climate, 19, 1302–1326. CrossRef
- Smith D., Cusack S., Colman A. W., Folland C. K., Harris G. H., Murphy J. M. 2007: Improved surface temperature prediction for the coming decade from a global climate model. Science, 317, 5839 (10 August 2007), 796–799. CrossRef
- Multi-Scale Projections Of Weather And Climate At The Uk Met Office
- Book Title
- Management of Weather and Climate Risk in the Energy Industry
- Book Part
- Part 1
- pp 39-50
- Print ISBN
- Online ISBN
- Series Title
- NATO Science for Peace and Security Series C: Environmental Security
- Series ISSN
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media B.V.
- Additional Links
- Weather forecast
- seasonal prediction
- climate projection
- decadal prediction
- eBook Packages
- Alberto Troccoli (1) (2)
- Editor Affiliations
- 1. University of Reading
- 2. Commonwealth Scientific and Industrial Research, Organisation (CSIRO), Pye Laboratory
- Author Affiliations
- 3. UK Met Office, FitzRoy Road, Devon, Exeter EX1 3PB, UK
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