A Bayesian method for multi-site stochastic data generation: Dealing with non-concurrent and missing data, variable transformation and parameter uncertainty. - Quan J. Wang (Environ. Model. Softw., 2008)

Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments. - James C. Bennett; David E. Robertson; Phillip G. D. Ward; H. A. Prasantha Hapuarachchi; Quan J. Wang (Environ. Model. Softw., 2016)

An evaluation of ECMWF SEAS5 seasonal climate forecasts for Australia using a new forecast calibration algorithm. - Quan J. Wang; Yawen Shao; Yong Song; Andrew Schepen; David E. Robertson; Dongryeol Ryu; Florian Pappenberger (Environ. Model. Softw., 2019)

An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions. - Haibo Chu; Wenyan Wu 001; Quan J. Wang; Rory Nathan; Jiahua Wei (Environ. Model. Softw., 2020)

A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction. - Yuerong Zhou; Wenyan Wu 001; Rory Nathan; Quan J. Wang (Environ. Model. Softw., 2021)

Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems. - Danlu Guo; Arash Parehkar; Dongryeol Ryu; Quan J. Wang; Andrew W. Western (Remote. Sens., 2022)