Lucy A. Marshall
Orcid: 0000-0003-0450-4292Affiliations:
- Macquarie University, NSW, Australia
According to our database1,
Lucy A. Marshall
authored at least 16 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Do LSTM memory states reflect the relationships in reduced-complexity sandy shoreline models.
Environ. Model. Softw., 2025
2024
Improving the statistical reliability of river model predictions via simple state adjustments.
Environ. Model. Softw., January, 2024
Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative.
Environ. Model. Softw., 2024
2023
DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling.
Environ. Model. Softw., November, 2023
Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks.
Environ. Model. Softw., April, 2023
2022
Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach.
Environ. Model. Softw., 2022
2021
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.
IEEE Trans. Geosci. Remote. Sens., 2021
2019
The influence of data transformations in simulating Total Suspended Solids using Bayesian inference.
Environ. Model. Softw., 2019
Using 3D robust smoothing to fill land surface temperature gaps at the continental scale.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Environ. Model. Softw., 2018
2014
A Bayesian method for multi-pollution source water quality model and seasonal water quality management in river segments.
Environ. Model. Softw., 2014
Comput. Stat. Data Anal., 2014
2012
Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling.
Environ. Model. Softw., 2012
2010
Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework.
Environ. Model. Softw., 2010