Related references
Note: Only part of the references are listed.A simulation-optimization methodology to model urban catchments under non-stationary extreme rainfall events
Daniel Jato-Espino et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2019)
Data mining based on wavelet and decision tree for rainfall-runoff simulation
Vahid Nourani et al.
HYDROLOGY RESEARCH (2019)
Improvement of multiple linear regression method for statistical downscaling of monthly precipitation
H. A. Pahlavan et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2018)
Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation
Ramesh S. Teegavarapu et al.
WATER RESOURCES MANAGEMENT (2018)
Incorporating large-scale atmospheric variables in long-term seasonal rainfall forecasting using artificial neural networks: an application to the Ping Basin in Thailand
M. S. Babel et al.
HYDROLOGY RESEARCH (2017)
Incorporating large-scale atmospheric variables in long-term seasonal rainfall forecasting using artificial neural networks: an application to the Ping Basin in Thailand
M. S. Babel et al.
HYDROLOGY RESEARCH (2017)
Application of a hybrid association rules/decision tree model for drought monitoring
Vahid Nourani et al.
GLOBAL AND PLANETARY CHANGE (2017)
A binary genetic programing model for teleconnection identification between global sea surface temperature and local maximum monthly rainfall events
Ali Danandeh Mehr et al.
JOURNAL OF HYDROLOGY (2017)
Regional hydroclimatic projection using an coupled composite downscaling model with statistical bias corrector
Boosik Kang et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2017)
Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling
Kwok-wing Chau
WATER (2017)
Projection of American dustiness in the late 21st century due to climate change
Bing Pu et al.
SCIENTIFIC REPORTS (2017)
Hybrid wavelet-support vector machine approach for modelling rainfall-runoff process
Mehdi Komasi et al.
WATER SCIENCE AND TECHNOLOGY (2016)
Input selection for long-lead precipitation prediction using large-scale climate variables: a case study
Azadeh Ahmadi et al.
JOURNAL OF HYDROINFORMATICS (2015)
Neural network river forecasting through baseflow separation and binary-coded swarm optimization
Riccardo Taormina et al.
JOURNAL OF HYDROLOGY (2015)
Projected precipitation and streamflow under SRES and RCP emission scenarios in the Songhuajiang River basin, China
Buda Su et al.
QUATERNARY INTERNATIONAL (2015)
Assessing the effects of climate change on monthly precipitation: Proposing of a downscaling strategy through a case study in Turkey
Umut Okkan
KSCE JOURNAL OF CIVIL ENGINEERING (2015)
Skill of precipitation prediction with GCMs over north India during winter season
P. R. Tiwari et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2014)
Exposure and health impacts of outdoor particulate matter in two urban and industrialized area of Tabriz, Iran
Akbar Gholampour et al.
JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING (2014)
Climate changes of hydrometeorological and hydrological extremes in the Paute basin, Ecuadorean Andes
D. E. Mora et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2014)
A hybrid generalised linear and Levenberg-Marquardt artificial neural network approach for downscaling future rainfall in North Western England
M. Abdellatif et al.
HYDROLOGY RESEARCH (2013)
Least square support vector and multi-linear regression for statistically downscaling general circulation model outputs to catchment streamflows
D. A. Sachindra et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2013)
Improved annual rainfall-runoff forecasting using PSO-SVM model based on EEMD
Wen-chuan Wang et al.
JOURNAL OF HYDROINFORMATICS (2013)
A new hybrid artificial neural networks for rainfall-runoff process modeling
Shahrokh Asadi et al.
NEUROCOMPUTING (2013)
On the bias correction of general circulation model output for Indian summer monsoon
Nachiketa Acharya et al.
METEOROLOGICAL APPLICATIONS (2013)
Statistical Downscaling of River Runoff in a Semi Arid Catchment
S. Samadi et al.
WATER RESOURCES MANAGEMENT (2013)
Tree-based iterative input variable selection for hydrological modeling
S. Galelli et al.
WATER RESOURCES RESEARCH (2013)
Investigating the Ability of Artificial Neural Network (ANN) Models to Estimate Missing Rain-gauge Data
V. Nourani et al.
JOURNAL OF ENVIRONMENTAL INFORMATICS (2012)
M5 model tree for pier scour prediction using field dataset
Mahesh Pal et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2012)
Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection
Mohammad Reza Najafi et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2011)
Rainfall-runoff modeling using artificial neural network coupled with singular spectrum analysis
C. L. Wu et al.
JOURNAL OF HYDROLOGY (2011)
An artificial neural network technique for downscaling GCM outputs to RCM spatial scale
R. Chadwick et al.
NONLINEAR PROCESSES IN GEOPHYSICS (2011)
Statistical downscaling of river flows
Clement Tisseuil et al.
JOURNAL OF HYDROLOGY (2010)
M5 model tree based modelling of reference evapotranspiration
Mahesh Pal et al.
HYDROLOGICAL PROCESSES (2009)
Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine
Aavudai Anandhi et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2009)
A Multivariate ANN-Wavelet Approach for Rainfall-Runoff Modeling
Vahid Nourani et al.
WATER RESOURCES MANAGEMENT (2009)
Monomodal image registration using mutual information based methods
Zhiyong Gao et al.
IMAGE AND VISION COMPUTING (2008)
Evapotranspiration modelling from climatic data using a neural computing technique
Ozgur Kisi
HYDROLOGICAL PROCESSES (2007)
Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
D. N. Moriasi et al.
TRANSACTIONS OF THE ASABE (2007)
Temporal neural networks for downscaling climate variability and extremes
Yonas B. Dibike et al.
NEURAL NETWORKS (2006)
Multiple criteria rainfall-runoff model calibration using a parallel genetic algorithm in a cluster of computers
CT Cheng et al.
HYDROLOGICAL SCIENCES JOURNAL (2005)
Multi-site downscaling of heavy daily precipitation occurrence and amounts
C Harpham et al.
JOURNAL OF HYDROLOGY (2005)
Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation
Ö Kisi
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2004)
M5 model trees and neural networks: Application to flood forecasting in the upper reach of the Huai River in China
DP Solomatine et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2004)
An estimate of future climate change for western France using a statistical downscaling technique
B Timbal et al.
CLIMATE DYNAMICS (2003)
Statistical downscaling of GCM simulations to streamflow
WA Landman et al.
JOURNAL OF HYDROLOGY (2001)
Downscaling temperature and precipitation: A comparison of regression-based methods and artificial neural networks
JT Schoof et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2001)
Relevance of time-frequency features for phonetic and speaker-channel classification
HH Yang et al.
SPEECH COMMUNICATION (2000)
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
HR Maier et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2000)
Share Paper
