CRU : Research : STARDEX
STARDEX Deliverable D12
To intercompare statistically downscaled extremes based on NCEP Reanalysis data (1958-2000) and to identify the best methods
Torben Schmith, DMI and Clare Goodess, UEA
This deliverable provides a detailed intercomparison of more than 20 improved statistical downscaling methodologies developed in the STARDEX project. In order to evaluate the ability of these methods to reproduce present-day indices of extremes, NCEP Reanalysis data is used to provide the predictor variables. A common set of verification principles is used to ensure that the intercomparison is fair and consistent. From the initial intercomparison exercise described in the initial synthesis report, it was not possible to identify the best methods. Thus more detailed regional analyses were undertaken using a larger set of stations. A synthesis of these regional analyses is provided in a journal paper with Clare Goodess, UEA as lead author - see publications below.
Please contact Clare Goodess for a PDF.
- Goodess, C.M., Anagnostopoulou, C., Bardossy, A., Frei, C., Harpham, C., Haylock, M.R., Hundecha, Y., Maheras, P., Ribalaygua, J., Schmidli, J., Schmith, T., Tolika, K., Tomozeiu, R. and Wilby, R.L., 2005: An intercomparison of statistical downscaling methods for Europe and European regions Ð assessing their performance with respect to extreme temperature and precipitation events. Submitted to Climatic Change.
- M. R. Haylock, G. C. Cawley, C. Harpham, R. L. Wilby and C. M. Goodess, 2005: Downscaling heavy precipitation over the UK: a comparison of dynamical and statistical methods and their future scenarios. Submitted to International Journal of Climatology.
- J. Schmidli, C. M. Goodess, C. Frei, M. R. Haylock, Y. Hundecha, J. Ribalaygua, T. Schmith, 2005: Statistical and Dynamical Downscaling of Precipitation: An Evaluation and Comparison of Scenarios for the European Alps. In preparation.
Last updated: November 2005, Malcolm Haylock