Use of a principal components analysis for the generation of daily time series

Journal of Applied Meteorology

Volumn 43, Issue 7, 2004, Pages 984-996

  Dreveton, Christine ^a   Guillou, Yann ^b  

^a Direction de la Climatologie   (France)

^b MÉTÉO FRANCE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FINANCE; MARKETING; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; TIME SERIES ANALYSIS; WEATHER FORECASTING;

INDEPENDENT VARIABLES; PRICING; WEATHER-DERIVATIVES MARKETS;

METEOROLOGY;

AIR TEMPERATURE; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT; TIME SERIES; WEATHER;

EURASIA; EUROPE; FRANCE; ILE-DE-FRANCE; PARIS; VILLE-DE-PARIS; WESTERN EUROPE;

EID: 4043172589     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(2004)043<0984:UOAPCA>2.0.CO;2     Document Type: Article

References (38)

1. Agnew, M. D., and J. P. Palutikof, 1999: The impacts of climate on retailing in the UK with particular reference to the anomalously hot summer of 1995. Int. J. Climatol., 19, 1493-1507.
2. Alexanderson, H., and A. Moberg, 1997: Homogenisation of Swedish temperature data. Part I: Homogeneity test for linear trends. Int. J. Climatol., 17, 25-34.
3. Bloomfield, P., 1992: Trends in global temperature. Climatic Change, 21, 1-16.
4. Bloomfield, P., and D. W. Nychka, 1992: Climate spectra and detecting climate change. Climatic Change, 21, 275-287.
5. Colombo, A. F., D. Etkin, and B. W. Karney, 1999: Climate variability and the frequency of extreme temperature events for nine sites across Canada: Implications for power usage. J. Climate, 12, 2490-2502.
6. Déqué, M., P. Marquet, and R. G. Jones, 1998: Simulation of climate change over Europe using a global variable resolution general circulation model. Climate Dyn., 14, 173-189.
7. Georgakakos, K. P., and M. L. Kavvas, 1987: Precipitation analysis, modelling and prediction in hydrology. Rev. Geophys., 25, 163-178.
8. Gregory, J. M., T. M. L. Wigley, and P. D. Johnson, 1991: Precipitation in Britain: An analysis of area-average data updated to 1989. Int. J. Climatol., 11, 331-345.
9. Gregory, J. M., T. M. L. Wigley, and P. D. Johnson, 1993: Application of Markov models to area-average daily precipitation series and inter-annual variability in seasonal tools. Climate Dyn., 8, 299-310.
10. Grondona, M. O., G. P. Podesta, M. Bidegain, M. Marino, and H. Hordij, 2000: A stochastic precipitation generator conditioned on ENSO phase: A case study in southeastern South America. J. Climate, 13, 2973-2986.
11. Hansen, J. E., and D. M. Driscoll, 1977: A mathematical model for the generation of hourly temperatures. J. Appl. Meteor., 16, 935-948.
12. Hutchinson, M. F., 1995: Stochastic space-time weather models from ground-based data. Agric. For. Meteor., 73, 237-264.
13. Johnson, G. L., C. L. Hanson, S. P. Hardegree, and E. B. Ballard, 1996: Stochastic weather simulation: Overview and analysis of two commonly used models. J. Appl. Meteor., 35, 1878-1896.
14. Kadioglu, M., Z. Sen, and L. Gültekin, 1999: Spatial heating monthly degree-day features and climatological patterns in Turkey. Theor. Appl. Climatol., 64, 263-269.
15. Katz, R. W., 1996: Use of conditional stochastic models to generate climate change scenarios. Climatic Change, 32, 237-255.
16. Katz, R. W., and B. G. Brown, 1992: Extreme events in a changing climate: Variability is more important than averages. Climatic Change, 21, 289-302.
17. Katz, R. W., and M. B. Parlange, 1993: Effects of an index of atmospheric circulation on stochastic properties of precipitation. Water Resour. Res., 29, 2335-2344.
18. Kuo, C., C. Lindberg, and D. J. Thomson, 1990: Coherence established between atmospheric carbon dioxide and global temperature. Nature, 343, 709-714.
19. Lehman, R. L., and H. E. Warren, 1994: Projecting monthly natural gas sales for space heating using a monthly updated model and degree-days from monthly outlooks. J. Appl. Meteor., 33, 96-106.
20. Mearns, L. O., C. Rosenzweig, and R. Golberg, 1996: The effect of changes in daily and interannual climatic variability on CERES-Wheat: A sensitivity study. Climatic Change, 32, 257-292.
21. Mestre, O., 2000: Méthodes statistiques pour l'homogénéisation des séries climatiques (Statistical methods for the homogenization of climatic series). Ph.D. thesis, University Paul Sabatier, 316 pp.
22. Quayle, R. G., and H. F. Diaz, 1980: Heating degree day data applied to residential heating energy consumption. J. Appl. Meteor., 19, 241-246.
23. Richardson, C. W., 1981: Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resour. Res., 17, 182-190.
24. Richman, M. B., 1986: Rotation of principal components. J. Climatol., 6, 293-335.
25. Riha, S. J., D. S. Wilks, and P. Simoens, 1996: Impact of temperature and precipitation variability on crop model predictions. Climatic Change, 32, 293-311.
26. Semenov, M. A., and J. R. Porter, 1995: Climatic variability and the modelling of crop yields. Agric. For. Meteor., 73, 265-283.
27. Semenov, M. A., R. J. Brooks, E. M. Barrow, and C. W. Richardson, 1998: Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Climate Res., 10, 95-107.
28. Thacker, W. C., and R. Lewandowicz, 1996: Climatic indices, principal components, and the Gauss-Markov theorem. J. Climate, 9, 1942-1958.
29. Van Asseldonk, M. A. P. M., 2003: Insurance against weather risk: Use of heating degree-days from non-local stations for weather derivatives. Theor. Appl. Climatol., 74, 137-144.
30. Vautard, R., G. Plaut, R. Wang, and G. Brunet, 1999: Seasonal prediction of North American surface air temperatures using space-time principal components. J. Climate, 12, 977-985.
31. Vincent, L. A., and D. W. Gullett, 1999: Canadian historical and homogeneous temperature datasets for climate change analyses. Int. J. Climatol., 19, 1375-1388.
32. Visser, H., and J. Molenaar, 1995: Trend estimation and regression analysis in climatological time series: An application of structural time series models and the Kalman filter. J. Climate, 8, 969-979.
33. Wilks, D. S., 1989: Conditioning stochastic daily precipitation models on total monthly precipitation. Water Resour. Res., 23, 1429-1439.
34. Wilks, D. S., 1992: Adapting stochastic weather generation algorithms for climate change studies. Climatic Change, 22, 67-84.
35. Wilks, D. S., 1998: Multisite generalization of a daily stochastic precipitation generation model. J. Hydrol., 210, 178-191.
36. Wilks, D. S., and S. J. Riha, 1996: High-frequency climatic variability and crop yields. Climatic Change, 32, 231-235.
37. Woodward, W. A., and H. L. Gray, 1993: Global warming and the problem of testing for trend in time series data. J. Climate, 6, 953-952.
38. Young, K. C., 1994: A multivariate chain model for simulating climatic parameters from daily data. J. Appl. Meteor., 33, 661-671.