caa a22 4500 445799315 CHVBK 20180317145135.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s00704-010-0301-z doi (NATIONALLICENCE)springer-10.1007/s00704-010-0301-z A non-parametric, statistical downscaling algorithm applied to the Rohini River Basin, Nepal [Elektronische Daten] [Sarah Opitz-Stapleton, Subhrendu Gangopadhyay] Climate change scenarios generated by general circulation models have too coarse a spatial resolution to be useful in planning disaster risk reduction and climate change adaptation strategies at regional to river basin scales. This study presents a new non-parametric statistical K-nearest neighbor algorithm for downscaling climate change scenarios for the Rohini River Basin in Nepal. The study is an introduction to the methodology and discusses its strengths and limitations within the context of hindcasting basin precipitation for the period of 1976-2006. The actual downscaled climate change projections are not presented here. In general, we find that this method is quite robust and well suited to the data-poor situations common in developing countries. The method is able to replicate historical rainfall values in most months, except for January, September, and October. As with any downscaling technique, whether numerical or statistical, data limitations significantly constrain model ability. The method was able to confirm that the dataset available for the Rohini Basin does not capture long-term climatology. Yet, we do find that the hindcasts generated with this methodology do have enough skill to warrant pursuit of downscaling climate change scenarios for this particularly poor and vulnerable region of the world. Springer-Verlag, 2010 Opitz-Stapleton Sarah Institute for Social and Environmental Transition (ISET), 948 North Street #9, 80304, Boulder, CO, USA aut Gangopadhyay Subhrendu U.S. Bureau of Reclamation, Denver Federal Center, 6th & Kipling, Bldg 67, 80225, Denver, CO, USA aut Theoretical and Applied Climatology Springer Vienna 103/3-4(2011-03-01), 375-386 0177-798X 103:3-4<375 2011 103 704 https://doi.org/10.1007/s00704-010-0301-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00704-010-0301-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Opitz-Stapleton Sarah Institute for Social and Environmental Transition (ISET), 948 North Street #9, 80304, Boulder, CO, USA aut NATIONALLICENCE 700 1- Gangopadhyay Subhrendu U.S. Bureau of Reclamation, Denver Federal Center, 6th & Kipling, Bldg 67, 80225, Denver, CO, USA aut NATIONALLICENCE 773 0- Theoretical and Applied Climatology Springer Vienna 103/3-4(2011-03-01), 375-386 0177-798X 103:3-4<375 2011 103 704 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer