Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)
Authors:
- Muhammad Z. HashmiMHMuhammad Z. Hashmi
- Asaad Y. ShamseldinAsaad Y. Shamseldin
- Bruce W. MelvilleBruce W. Melville
- 1 December 2011
- journal article
- Published by Elsevier in Environmental Modelling & Software
- Vol. 26 (12) , 1639-1646
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Statistical downscaling of precipitation: state-of-the-art and application of bayesian multi-model approach for uncertainty assessmentEGUsphere, 2009
- Downscaling of precipitation for climate change scenarios: A support vector machine approachJournal of Hydrology, 2006
- Downscaling heavy precipitation over the United Kingdom: a comparison of dynamical and statistical methods and their future scenariosInternational Journal of Climatology, 2006
- Downscaling daily extreme temperatures with genetic programmingGeophysical Research Letters, 2004
- GENETIC PROGRAMMING: A NEW PARADIGM IN RAINFALL RUNOFF MODELING1Jawra Journal of the American Water Resources Association, 2002
- Identification of an urban fractured-rock aquifer dynamics using an evolutionary self-organizing modellingJournal of Hydrology, 2002
- sdsm — a decision support tool for the assessment of regional climate change impactsEnvironmental Modelling & Software, 2002
- New Zealand climate change information derived by multivariate statistical and artificial neural networks approachesInternational Journal of Climatology, 2001
- From GCMs to river flow: a review of downscaling methods and hydrologic modelling approachesProgress in Physical Geography: Earth and Environment, 1999
- The NCEP/NCAR 40-Year Reanalysis ProjectBulletin of the American Meteorological Society, 1996