caa a22 4500 445800887 CHVBK 20180317145140.0 cr unu---uuuuu 170323e20110801xx s 000 0 eng 10.1007/s00704-010-0371-y doi (NATIONALLICENCE)springer-10.1007/s00704-010-0371-y Statistical downscaling of regional daily precipitation over southeast Australia based on self-organizing maps [Elektronische Daten] [Chonghua Yin, Yinpeng Li, Wei Ye, Janet Bornman, Xiaodong Yan] This paper presents a novel statistical downscaling method based on a non-linear classification technique known as self-organizing maps (SOMs) and has therefore been named SOM-SD. The relationship between large-scale atmospheric circulation and local-scale surface variable was constructed in a relatively simple and transparent manner. For a specific atmospheric state, an ensemble of possible values was generated for the predictand following the Monte Carlo method. Such a stochastic simulation is essential to explore the uncertainties of climate change in the future through a series of random re-sampling experiments. The novel downscaling method was evaluated by downscaling daily precipitation over Southeast Australia. The large-scale predictors were extracted from the daily NCAR/NCEP reanalysis data, while the predictand was high-resolution gridded daily observed precipitation (1958-2008) from the Australian Bureau of Meteorology. The results showed that the method works reasonably well across a variety of climatic zones in the study area. Overall, there was no particular zone that stands out as a climatic entity where the downscaling skill in reproducing all statistical indices was consistently lower or higher across seasons than the other zones. The method displayed a high skill in reproducing not only the climatologic statistical properties of the observed precipitation, but also the characteristics of the extreme precipitation events. Furthermore, the model was able to reproduce, to a certain extent, the inter-annual variability of precipitation characteristics. Springer-Verlag, 2010 Yin Chonghua International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut Li Yinpeng International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut Ye Wei International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut Bornman Janet International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut Yan Xiaodong START TEA, The Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China aut Theoretical and Applied Climatology Springer Vienna 105/1-2(2011-08-01), 11-26 0177-798X 105:1-2<11 2011 105 704 https://doi.org/10.1007/s00704-010-0371-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00704-010-0371-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yin Chonghua International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut NATIONALLICENCE 700 1- Li Yinpeng International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut NATIONALLICENCE 700 1- Ye Wei International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut NATIONALLICENCE 700 1- Bornman Janet International Global Change Center, University of Waikato, Private Bag 3105, 3240, Hamilton, New Zealand aut NATIONALLICENCE 700 1- Yan Xiaodong START TEA, The Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China aut NATIONALLICENCE 773 0- Theoretical and Applied Climatology Springer Vienna 105/1-2(2011-08-01), 11-26 0177-798X 105:1-2<11 2011 105 704 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer