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Revisiting the nonlinear relationship between ENSO and winter extreme station precipitation in North America

. International Journal of Climatology, (2015)
DOI: 10.1002/joc.4263

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Revisiting the nonlinear relationship between ENSO and winter extreme station precipitation in North America. International Journal of Climatology, (2015)Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R.. Comput. Geosci., (2012)Quantile regression neural networks: Implementation in R and application to precipitation downscaling.. Comput. Geosci., 37 (9): 1277-1284 (2011)GEVcdn: An R package for nonstationary extreme value analysis by generalized extreme value conditional density estimation network.. Comput. Geosci., 37 (9): 1532-1533 (2011)Downscaling temperature and precipitation using support vector regression with evolutionary strategy., , and . IJCNN, page 1-8. IEEE, (2012)Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes?, , and . Journal of Climate, 28 (17): 6938--6959 (2015)Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling.. Neural Networks, 20 (4): 444-453 (2007)ClimDown: Climate Downscaling in R., , , , and . J. Open Source Softw., 3 (22): 360 (2018)Corrigendum to "Quantile regression neural networks: Implementation in R and application to precipitation downscaling" Comput. Geosci. 37(9) (2011) 1277-1284.. Comput. Geosci., (2012)A Hybrid Neural Network/Analog Model for Climate Downscaling.. IJCNN, page 4595-4600. IEEE, (2006)