Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework. - Tyler Jon Smith; Lucy Amanda Marshall (Environ. Model. Softw., 2010)

Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling. - Erwin Jeremiah; Scott A. Sisson; Ashish Sharma 002; Lucy A. Marshall (Environ. Model. Softw., 2012)

The ensemble Kalman filter is an ABC algorithm. - David J. Nott; Lucy A. Marshall; Minh-Ngoc Tran (Stat. Comput., 2012)

Mixtures of experts for understanding model discrepancy in dynamic computer models. - David J. Nott; Lucy A. Marshall; Mark Fielding; Shie-Yui Liong (Comput. Stat. Data Anal., 2014)

A Bayesian method for multi-pollution source water quality model and seasonal water quality management in river segments. - Ying Zhao; Ashish Sharma 002; Bellie Sivakumar; Lucy A. Marshall; Peng Wang; Jiping Jiang (Environ. Model. Softw., 2014)

A comparison of methods for discretizing continuous variables in Bayesian Networks. - Tomas Beuzen; Lucy A. Marshall; Kristen D. Splinter (Environ. Model. Softw., 2018)

Using 3D robust smoothing to fill land surface temperature gaps at the continental scale. - Hung T. Pham; Seokhyeon Kim; Lucy A. Marshall; Fiona M. Johnson (Int. J. Appl. Earth Obs. Geoinformation, 2019)

The influence of data transformations in simulating Total Suspended Solids using Bayesian inference. - Xia Wu; Lucy A. Marshall; Ashish Sharma 002 (Environ. Model. Softw., 2019)

Improving the Combination of Satellite Soil Moisture Data Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double Instrumental Variable (EIVD) Alternatives. - Seokhyeon Kim; Hung T. Pham; Yi Y. Liu 001; Lucy A. Marshall; Ashish Sharma 002 (IEEE Trans. Geosci. Remote. Sens., 2021)

How to select an objective function using information theory. - Timothy O. Hodson; Thomas M. Over; Tyler J. Smith; Lucy A. Marshall (CoRR, 2022)

Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach. - Tian Guo 007; Yaoze Liu; Gang Shao; Bernard A. Engel; Ashish Sharma 002; Lucy A. Marshall; Dennis C. Flanagan; Raj Cibin; Carlington W. Wallace; Kaiguang Zhao; Dongyang Ren; Johann Vera Mercado; et al. (Environ. Model. Softw., 2022)

Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks. - Arpit Kapoor; Anshul Negi; Lucy A. Marshall; Rohitash Chandra (Environ. Model. Softw., 2023)

DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling. - Arpit Kapoor; Sahani Pathiraja; Lucy A. Marshall; Rohitash Chandra (Environ. Model. Softw., 2023)

Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative. - Hui Zou; Lucy A. Marshall; Ashish Sharma 002; Jie Jian; Clare Stephens; Philippa Higgins (Environ. Model. Softw., 2024)

Improving the statistical reliability of river model predictions via simple state adjustments. - S. S. H. Kim; Lucy A. Marshall; Justin D. Hughes; Lynn Seo; Julien Lerat; Ashish Sharma 002; Jai Vaze (Environ. Model. Softw., 2024)

Do LSTM memory states reflect the relationships in reduced-complexity sandy shoreline models. - Kit Calcraft; Kristen D. Splinter; Joshua A. Simmons; Lucy A. Marshall (Environ. Model. Softw., 2025)

Doing hydrology when no in-situ data exists: Surrogate River discharge Model (SRM). - Hae Na Yoon; Lucy A. Marshall; Ashish Sharma 002; Seokhyeon Kim (Environ. Model. Softw., 2025)