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Downscaling of climate projections is the most adopted method to assess the\udimpacts of climate change at regional and local scale. In the last decade,\uddownscaling techniques which provide reasonable improvement to resolution of\udGeneral Circulation Models' (GCMs) output are developed in notable manner.\udMost of these techniques are limited to spatial downscaling of GCMs' output\udand still there is a high demand to develop temporal downscaling approaches.\udAs the main objective of this study, combined approach of spatial and\udtemporal downscaling is developed to improve the resolution of rainfall\udpredicted by GCMs. Canberra airport region is subjected to this study and\udthe applicability of proposed downscaling approach is evaluated for Sydney,\udMelbourne, Brisbane, Adelaide, Perth and Darwin regions. Statistical\udDownscaling Model (SDSM) is used to spatial downscaling and numerical model\udbased on scaling invariant concept is used to temporal downscaling of\udrainfalls. National Centre of Environmental Prediction (NCEP) data is used\udin SDSM model calibration and validation. Regression based bias correction\udfunction is used to improve the accuracy of downscaled annual maximum\udrainfalls using HadCM3-A2. By analysing the non-central moments of\udobserved rainfalls, single time regime (from 30 min to 24 h) is\udidentified which exist scaling behaviour and it is used to estimate the sub\uddaily extreme rainfall depths from daily downscaled rainfalls. Finally, as\udthe major output of this study, Intensity Duration Frequency (IDF) relations\udare developed for the future periods of 2020s, 2050s and 2080s in the\udcontext of climate change

Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia