The open source RFortran library for accessing R from Fortran, with applications in environmental modelling. - Mark A. Thyer; Michael Leonard; Dmitri Kavetski; Stephen Need; Benjamin Renard (Environ. Model. Softw., 2011)

A simplified approach to produce probabilistic hydrological model predictions. - David McInerney; Mark A. Thyer; Dmitri Kavetski; Bree Bennett; Julien Lerat; Matthew S. Gibbs; George Kuczera (Environ. Model. Softw., 2018)

Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms. - Michael Di Matteo; Ruijie Liang; Holger R. Maier; Mark A. Thyer; Angus R. Simpson; Graeme C. Dandy; Ben Ernst (Environ. Model. Softw., 2019)

A generalised approach for identifying influential data in hydrological modelling. - David P. Wright; Mark A. Thyer; Seth Westra; Benjamin Renard; David McInerney (Environ. Model. Softw., 2019)