CHANGING PROBABILITIES OF DAILY TEMPERATURE EXTREMES IN THE UK RELATED TO FUTURE GLOBAL WARMING AND CHANGES IN CLIMATE VARIABILITY

The impacts of 2 greenhouse gas emissions scenarios (one from the IPCC and one from Greenpeace International) on the occurrence of extreme d aily temperature events are considered at several sites in the UK. For each site, a number of probability distributions were tested for good ness-of-fit to 1961-87 observed daily maximum and minimum temperature data using the Kolmogorov-Smirnov lest. The parameters of the best-fit ting distributions were then perturbed to take into account climate ch ange, both mean and variability. Probabilities of the occurrence of pa rticular temperature threshold events were calculated for both present and future climates. Changes in climate variability were considered i n 3 ways: (1) by assuming the present variance stays the same in the f uture; (2) by imposing standardised percent changes in variance; and ( 3) by imposing variance changes derived from the UK Meteorological Off ice high resolution GCM equilibrium climate change experiment. Results presented for 2 contrasting sites illustrate the importance of includ ing changes in variability in climate change studies. Specific results depend on the site and threshold temperature chosen and on the distri bution characteristics. However, for example, at Fortrose the 1961-87 mean maximum temperature in July is below 20 degrees C. With increases in global-mean temperature, the probability of this threshold being e xceeded increases, although the rate of increase depends on the varian ce change being considered. The largest rate of increase in probabilit y occurs with a 20% per degrees C increase in variance. The approach d escribed here has been used in one component of a climate change scena rio generator for the UK developed for the UK Ministry of Agriculture, Fisheries and Food.