Lucy Marshall

Affiliations: 
Mechanical and Industrial Engineering Montana State University, Bozeman, MT 
Area:
Environmental Engineering, Hydrology, Water Resource Management
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"Lucy Marshall"
Cross-listing: E-Tree

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Publications

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Li D, Marshall L, Liang Z, et al. (2021) Bayesian LSTM With Stochastic Variational Inference for Estimating Model Uncertainty in Process‐Based Hydrological Models Water Resources Research. 57
Ly K, Metternicht G, Marshall L. (2020) Simulation of streamflow and instream loads of total suspended solids and nitrate in a large transboundary river basin using Source model and geospatial analysis. The Science of the Total Environment. 744: 140656
Tang Y, Marshall L, Sharma A, et al. (2019) Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments Water Resources Research. 55: 4533-4549
Pham HT, Kim S, Marshall L, et al. (2019) Using 3D robust smoothing to fill land surface temperature gaps at the continental scale International Journal of Applied Earth Observation and Geoinformation. 82: 101879
Wu X, Marshall L, Sharma A. (2019) The influence of data transformations in simulating Total Suspended Solids using Bayesian inference Environmental Modelling and Software. 121: 104493
Ly K, Metternicht G, Marshall L. (2019) Transboundary river catchment areas of developing countries: Potential and limitations of watershed models for the simulation of sediment and nutrient loads. A review Journal of Hydrology: Regional Studies. 24: 100605
Nury AH, Sharma A, Marshall L, et al. (2019) Characterising uncertainty in precipitation downscaling using a Bayesian approach Advances in Water Resources. 129: 189-197
Tang Y, Marshall L, Sharma A, et al. (2019) Modelling precipitation uncertainties in a multi-objective Bayesian ecohydrological setting Advances in Water Resources. 123: 12-22
Guo D, Johnson F, Marshall L. (2018) Assessing the Potential Robustness of Conceptual Rainfall‐Runoff Models Under a Changing Climate Water Resources Research. 54: 5030-5049
Pham HT, Marshall L, Johnson F, et al. (2018) Deriving daily water levels from satellite altimetry and land surface temperature for sparsely gauged catchments: A case study for the Mekong River Remote Sensing of Environment. 212: 31-46
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