Monthly Rainfall-Runoff Modeling at Watershed Scale: A Comparative Study of Data-Driven and Theory-Driven Approaches

Improving ice sheet model calibration using paleoclimate and modern data

(2016) Won Chang et al.   Annals of Applied Statistics

Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan

(2016) N.J. Mount et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data

(2016) Won Chang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

From channelization to restoration: Sociohydrologic modeling with changing community preferences in the Kissimmee River Basin, Florida

(2016) Xi Chen et al.   WATER RESOURCES RESEARCH

Modeling seasonal surface runoff and base flow based on the generalized proportionality hypothesis

(2015) Xi Chen et al.   JOURNAL OF HYDROLOGY

TSclust: AnRPackage for Time Series Clustering

(2015) Pablo Montero et al.   Journal of Statistical Software

Fast dimension-reduced climate model calibration and the effect of data aggregation

(2014) Won Chang et al.   Annals of Applied Statistics

A one-parameter Budyko model for water balance captures emergent behavior in darwinian hydrologic models

(2014) Dingbao Wang et al.   GEOPHYSICAL RESEARCH LETTERS

Sensitivity analysis for comparison, validation and physical legitimacy of neural network-based hydrological models

(2014) C. W. Dawson et al.   JOURNAL OF HYDROINFORMATICS

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

Modeling interannual variability of seasonal evaporation and storage change based on the extended Budyko framework

(2013) Xi Chen et al.   WATER RESOURCES RESEARCH

Tree-based iterative input variable selection for hydrological modeling

(2013) S. Galelli et al.   WATER RESOURCES RESEARCH

What is the effect of unresolved internal climate variability on climate sensitivity estimates?

(2013) R. Olson et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Sensitivity analysis of the artificial neural network outputs in simulation of the evaporation process at different climatologic regimes

(2012) Vahid Nourani et al.   ADVANCES IN ENGINEERING SOFTWARE

Influence of lag time on event-based rainfall–runoff modeling using the data driven approach

(2012) Amin Talei et al.   JOURNAL OF HYDROLOGY

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

(2012) Robert J. Abrahart et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Responses of annual runoff, evaporation, and storage change to climate variability at the watershed scale

(2012) Dingbao Wang et al.   WATER RESOURCES RESEARCH

Load or concentration, logged or unlogged? Addressing ten years of uncertainty in neural network suspended sediment prediction

(2011) Nick J. Mount et al.   HYDROLOGICAL PROCESSES

Prediction of event-based stormwater runoff quantity and quality by ANNs developed using PMI-based input selection

(2011) Jianxun He et al.   JOURNAL OF HYDROLOGY

A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties

(2011) Michael L. Roderick et al.   WATER RESOURCES RESEARCH

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Toward improved identification of hydrological models: A diagnostic evaluation of the “abcd ” monthly water balance model for the conterminous United States

(2010) Guillermo F. Martinez et al.   WATER RESOURCES RESEARCH

A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006

(2010) Ke Zhang et al.   WATER RESOURCES RESEARCH

Statistical calibration of climate system properties

(2009) Bruno Sansó et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Non-linear variable selection for artificial neural networks using partial mutual information

(2008) Robert J. May et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS