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Lucy Marshall - Publications

Affiliations: 
Mechanical and Industrial Engineering Montana State University, Bozeman, MT 
Area:
Environmental Engineering, Hydrology, Water Resource Management
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46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Li D, Marshall L, Liang Z, Sharma A, Zhou Y. Bayesian LSTM With Stochastic Variational Inference for Estimating Model Uncertainty in Process‐Based Hydrological Models Water Resources Research. 57. DOI: 10.1029/2021wr029772  0.358
2020 Ly K, Metternicht G, Marshall L. 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. PMID 32721664 DOI: 10.1016/J.Scitotenv.2020.140656  0.423
2019 Tang Y, Marshall L, Sharma A, Ajami H, Nott DJ. Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments Water Resources Research. 55: 4533-4549. DOI: 10.1029/2019Wr025055  0.37
2019 Pham HT, Kim S, Marshall L, Johnson FM. Using 3D robust smoothing to fill land surface temperature gaps at the continental scale International Journal of Applied Earth Observation and Geoinformation. 82: 101879. DOI: 10.1016/J.Jag.2019.05.012  0.325
2019 Wu X, Marshall L, Sharma A. The influence of data transformations in simulating Total Suspended Solids using Bayesian inference Environmental Modelling and Software. 121: 104493. DOI: 10.1016/J.Envsoft.2019.104493  0.426
2019 Ly K, Metternicht G, Marshall L. 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. DOI: 10.1016/J.Ejrh.2019.100605  0.355
2019 Nury AH, Sharma A, Marshall L, Mehrotra R. Characterising uncertainty in precipitation downscaling using a Bayesian approach Advances in Water Resources. 129: 189-197. DOI: 10.1016/J.Advwatres.2019.05.018  0.452
2019 Tang Y, Marshall L, Sharma A, Ajami H. Modelling precipitation uncertainties in a multi-objective Bayesian ecohydrological setting Advances in Water Resources. 123: 12-22. DOI: 10.1016/J.Advwatres.2018.10.015  0.463
2018 Guo D, Johnson F, Marshall L. Assessing the Potential Robustness of Conceptual Rainfall‐Runoff Models Under a Changing Climate Water Resources Research. 54: 5030-5049. DOI: 10.1029/2018Wr022636  0.352
2018 Pham HT, Marshall L, Johnson F, Sharma A. 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. DOI: 10.1016/J.Rse.2018.04.034  0.382
2018 Pham HT, Marshall L, Johnson F, Sharma A. A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data Remote Sensing of Environment. 210: 229-241. DOI: 10.1016/J.Rse.2018.03.026  0.372
2018 Tang Y, Marshall L, Sharma A, Ajami H. A Bayesian alternative for multi-objective ecohydrological model specification Journal of Hydrology. 556: 25-38. DOI: 10.1016/J.Jhydrol.2017.07.040  0.465
2018 Beuzen T, Marshall L, Splinter KD. A comparison of methods for discretizing continuous variables in Bayesian Networks Environmental Modelling and Software. 108: 61-66. DOI: 10.1016/J.Envsoft.2018.07.007  0.347
2018 Shoaib SA, Marshall L, Sharma A. Attributing uncertainty in streamflow simulations due to variable inputs via the Quantile Flow Deviation metric Advances in Water Resources. 116: 40-55. DOI: 10.1016/J.Advwatres.2018.01.022  0.463
2018 Smith T, Marshall L, McGlynn B. Typecasting catchments: Classification, directionality, and the pursuit of universality Advances in Water Resources. 112: 245-253. DOI: 10.1016/J.Advwatres.2017.12.020  0.421
2018 Pathiraja S, Moradkhani H, Marshall L, Sharma A, Geenens G. Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation Water Resources Research. 54: 1252-1280. DOI: 10.1002/2018Wr022627  0.415
2017 Marshall L. Creativity, Uncertainty, and Automated Model Building. Ground Water. PMID 28675001 DOI: 10.1111/Gwat.12552  0.396
2017 Pathiraja S, Anghileri D, Burlando P, Sharma A, Marshall L, Moradkhani H. Time-varying parameter models for catchments with land use change: the importance of model structure Hydrology and Earth System Sciences. 22: 2903-2919. DOI: 10.5194/Hess-22-2903-2018  0.439
2017 Simmons JA, Harley MD, Marshall LA, Turner IL, Splinter KD, Cox RJ. Calibrating and assessing uncertainty in coastal numerical models Coastal Engineering. 125: 28-41. DOI: 10.1016/J.COASTALENG.2017.04.005  0.308
2017 Pathiraja S, Anghileri D, Burlando P, Sharma A, Marshall L, Moradkhani H. Insights on the impact of systematic model errors on data assimilation performance in changing catchments Advances in Water Resources. 113: 202-222. DOI: 10.1016/J.Advwatres.2017.12.006  0.458
2016 Wetlaufer K, Hendrikx J, Marshall L. Spatial Heterogeneity of Snow Density and Its Influence on Snow Water Equivalence Estimates in a Large Mountainous Basin Hydrology. 3: 3. DOI: 10.3390/Hydrology3010003  0.366
2016 Mensah DK, Nott DJ, Tan LSL, Marshall L. Functional models for longitudinal data with covariate dependent smoothness Electronic Journal of Statistics. 10: 527-549. DOI: 10.1214/16-Ejs1113  0.379
2016 Shoaib SA, Marshall L, Sharma A. A metric for attributing variability in modelled streamflows Journal of Hydrology. 541: 1475-1487. DOI: 10.1016/J.Jhydrol.2016.08.050  0.456
2016 Tang Y, Marshall L, Sharma A, Smith T. Tools for investigating the prior distribution in Bayesian hydrology Journal of Hydrology. 538: 551-562. DOI: 10.1016/J.Jhydrol.2016.04.032  0.358
2016 Pathiraja S, Marshall L, Sharma A, Moradkhani H. Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation Advances in Water Resources. 94: 103-119. DOI: 10.1016/J.Advwatres.2016.04.021  0.452
2016 Smith T, Hayes K, Marshall L, McGlynn B, Jencso K. Diagnostic calibration and cross‐catchment transferability of a simple process‐consistent hydrologic model Hydrological Processes. 30: 5027-5038. DOI: 10.1002/Hyp.10955  0.436
2016 Pathiraja S, Marshall L, Sharma A, Moradkhani H. Hydrologic modeling in dynamic catchments: A data assimilation approach Water Resources Research. 52: 3350-3372. DOI: 10.1002/2015Wr017192  0.449
2015 Smith T, Marshall L, Sharma A. Modeling residual hydrologic errors with Bayesian inference Journal of Hydrology. 528: 29-37. DOI: 10.1016/J.Jhydrol.2015.05.051  0.436
2014 Nott DJ, Fan Y, Marshall L, Sisson SA. Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC Journal of Computational and Graphical Statistics. 23: 65-86. DOI: 10.1080/10618600.2012.751874  0.347
2014 Zhao Y, Sharma A, Sivakumar B, Marshall L, Wang P, Jiang J. A Bayesian method for multi-pollution source water quality model and seasonal water quality management in river segments Environmental Modelling and Software. 57: 216-226. DOI: 10.1016/J.Envsoft.2014.03.005  0.302
2014 Nott DJ, Marshall L, Fielding M, Liong S. Mixtures of experts for understanding model discrepancy in dynamic computer models Computational Statistics & Data Analysis. 71: 491-505. DOI: 10.1016/J.Csda.2013.04.020  0.462
2014 Smith T, Marshall L, Sharma A. Predicting hydrologic response through a hierarchical catchment knowledgebase: A Bayes empirical Bayes approach Water Resources Research. 50: 1189-1204. DOI: 10.1002/2013Wr015079  0.401
2014 Smith T, Marshall L, McGlynn B. Calibrating hydrologic models in flow-corrected time Water Resources Research. 50: 748-753. DOI: 10.1002/2013Wr014635  0.377
2013 Jeremiah E, Marshall L, Sharma A. Modelling and understanding the hierarchy in a mixture of experts using multiple catchment descriptors Journal of Hydrology. 507: 273-286. DOI: 10.1016/J.Jhydrol.2013.09.049  0.423
2013 Smith T, Marshall L, McGlynn B, Jencso K. Using field data to inform and evaluate a new model of catchment hydrologic connectivity Water Resources Research. 49: 6834-6846. DOI: 10.1002/Wrcr.20546  0.455
2013 Jeremiah E, Marshall L, Sisson SA, Sharma A. Specifying a hierarchical mixture of experts for hydrologic modeling: Gating function variable selection Water Resources Research. 49: 2926-2939. DOI: 10.1002/Wrcr.20150  0.478
2012 Nott DJ, Marshall L, Brown J. Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection? Water Resources Research. 48. DOI: 10.1029/2011Wr011128  0.4
2012 Jeremiah E, Sisson SA, Sharma A, Marshall L. Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling Environmental Modelling and Software. 38: 283-295. DOI: 10.1016/J.Envsoft.2012.07.001  0.434
2011 Jeremiah E, Sisson S, Marshall L, Mehrotra R, Sharma A. Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers Water Resources Research. 47. DOI: 10.1029/2010Wr010217  0.416
2010 Smith T, Sharma A, Marshall L, Mehrotra R, Sisson S. Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments Water Resources Research. 46. DOI: 10.1029/2010Wr009514  0.433
2010 Smith TJ, Marshall LA. Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework Environmental Modelling & Software. 25: 691-701. DOI: 10.1016/j.envsoft.2009.11.010  0.333
2007 Marshall L, Sharma A, Nott D. A single model ensemble versus a dynamic modeling platform : Semi-distributed rainfall runoff modeling in a Hierarchical Mixtures of Experts framework Geophysical Research Letters. 34. DOI: 10.1029/2006Gl028054  0.461
2007 Marshall L, Nott D, Sharma A. Towards dynamic catchment modelling: a Bayesian hierarchical mixtures of experts framework Hydrological Processes. 21: 847-861. DOI: 10.1002/Hyp.6294  0.477
2006 Marshall L, Sharma A, Nott D. Modeling the catchment via mixtures: Issues of model specification and validation Water Resources Research. 42. DOI: 10.1029/2005Wr004613  0.481
2005 Marshall L, Nott D, Sharma A. Hydrological model selection: A Bayesian alternative Water Resources Research. 41. DOI: 10.1029/2004Wr003719  0.493
2004 Marshall L, Nott D, Sharma A. A comparative study of Markov chain Monte Carlo methods for conceptual rainfall‐runoff modeling Water Resources Research. 40. DOI: 10.1029/2003Wr002378  0.436
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