Select Publications

Book Chapters

Sharma A; Marshall LA; Nott DJ, 2005, 'A Bayesian view of rainfall-runoff modeling: Alternatives for parameter estimation, model comparison and hierarchical model development', in Franks S (ed.), IAHS-AISH Publication, edn. 301, IAHS Press, Wallingford, UK, pp. 299 - 311

Journal articles

Nury AH; Sharma A; Marshall L; Mehrotra R, 2019, 'Characterising uncertainty in precipitation downscaling using a Bayesian approach', Advances in Water Resources, vol. 129, pp. 189 - 197, http://dx.doi.org/10.1016/j.advwatres.2019.05.018

Tang Y; Marshall L; Sharma A; Ajami H; Nott DJ, 2019, 'Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments', Water Resources Research, vol. 55, pp. 4533 - 4549, http://dx.doi.org/10.1029/2019WR025055

Pham HT; Kim S; Marshall L; Johnson F, 2019, 'Using 3D robust smoothing to fill land surface temperature gaps at the continental scale', International Journal of Applied Earth Observation and Geoinformation, vol. 82, pp. 101879 - 101879, http://dx.doi.org/10.1016/j.jag.2019.05.012

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, vol. 24, http://dx.doi.org/10.1016/j.ejrh.2019.100605

Tang Y; Marshall L; Sharma A; Ajami H, 2019, 'Modelling precipitation uncertainties in a multi-objective Bayesian ecohydrological setting', Advances in Water Resources, vol. 123, pp. 12 - 22, http://dx.doi.org/10.1016/j.advwatres.2018.10.015

Stephens CM; McVicar TR; Johnson FM; Marshall LA, 2018, 'Revisiting Pan Evaporation Trends in Australia a Decade on', Geophysical Research Letters, vol. 45, pp. 11 - 172, http://dx.doi.org/10.1029/2018GL079332

Splinter KD; Beuzen T; Marshall L, 2018, 'A comparison of methods for discretizing continuous variables in Bayesian Networks.', Environmental Modelling and Software, vol. 108, pp. 61 - 66, http://dx.doi.org/10.1016/j.envsoft.2018.07.007

Guo D; Johnson F; Marshall L, 2018, 'Assessing the Potential Robustness of Conceptual Rainfall-Runoff Models Under a Changing Climate', Water Resources Research, vol. 54, pp. 5030 - 5049, http://dx.doi.org/10.1029/2018WR022636

Stephens CM; Johnson FM; Marshall LA, 2018, 'Implications of future climate change for event-based hydrologic models', Advances in Water Resources, vol. 119, pp. 95 - 110, http://dx.doi.org/10.1016/j.advwatres.2018.07.004

Pathiraja S; Anghileri D; Burlando P; Sharma A; Marshall L; Moradkhani H, 2018, 'Time-varying parameter models for catchments with land use change: The importance of model structure', Hydrology and Earth System Sciences, vol. 22, pp. 2903 - 2919, http://dx.doi.org/10.5194/hess-22-2903-2018

Pham HT; Marshall L; Johnson F; Sharma A, 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, vol. 212, pp. 31 - 46, http://dx.doi.org/10.1016/j.rse.2018.04.034

Shoaib SA; Marshall L; Sharma A, 2018, 'Attributing uncertainty in streamflow simulations due to variable inputs via the Quantile Flow Deviation metric', Advances in Water Resources, vol. 116, pp. 40 - 55, http://dx.doi.org/10.1016/j.advwatres.2018.01.022

Beuzen T; Splinter KD; Marshall LA; Turner IL; Harley MD; Palmsten ML, 2018, 'Bayesian Networks in coastal engineering: Distinguishing descriptive and predictive applications', Coastal Engineering, vol. 135, pp. 16 - 30, http://dx.doi.org/10.1016/j.coastaleng.2018.01.005

Pathiraja S; Anghileri D; Burlando P; Sharma A; Marshall L; Moradkhani H, 2018, 'Insights on the impact of systematic model errors on data assimilation performance in changing catchments', Advances in Water Resources, vol. 113, pp. 202 - 222, http://dx.doi.org/10.1016/j.advwatres.2017.12.006

Smith T; Marshall L; McGlynn B, 2018, 'Typecasting catchments: Classification, directionality, and the pursuit of universality', Advances in Water Resources, vol. 112, pp. 245 - 253, http://dx.doi.org/10.1016/j.advwatres.2017.12.020

Pham HT; Marshall L; Johnson F; Sharma A, 2018, 'A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data', Remote Sensing of Environment, vol. 210, pp. 229 - 241, http://dx.doi.org/10.1016/j.rse.2018.03.026

Pathiraja S; Moradkhani H; Marshall L; Sharma A; Geenens G, 2018, 'Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation', Water Resources Research, vol. 54, pp. 1252 - 1280, http://dx.doi.org/10.1002/2018WR022627

Tang Y; Marshall L; Sharma A; Ajami H, 2018, 'A Bayesian alternative for multi-objective ecohydrological model specification', Journal of Hydrology, vol. 556, pp. 25 - 38, http://dx.doi.org/10.1016/j.jhydrol.2017.07.040

Payn RA; Hall RO; Kennedy TA; Poole GC; Marshall LA, 2017, 'A coupled metabolic-hydraulic model and calibration scheme for estimating whole-river metabolism during dynamic flow conditions', Limnology and Oceanography: Methods, vol. 15, pp. 847 - 866, http://dx.doi.org/10.1002/lom3.10204

Jones LA; Muhlfeld CC; Marshall LA, 2017, 'Projected warming portends seasonal shifts of stream temperatures in the Crown of the Continent Ecosystem, USA and Canada', Climatic Change, vol. 144, pp. 641 - 655, http://dx.doi.org/10.1007/s10584-017-2060-7

Marshall L, 2017, 'Creativity, Uncertainty, and Automated Model Building', Groundwater, vol. 55, pp. 693 - 697, http://dx.doi.org/10.1111/gwat.12552

Simmons JA; Harley MD; Marshall LA; Turner IL; Splinter KD; Cox RJ, 2017, 'Calibrating and assessing uncertainty in coastal numerical models', Coastal Engineering, vol. 125, pp. 28 - 41, http://dx.doi.org/10.1016/j.coastaleng.2017.04.005

Pathiraja S; Marshall L; Sharma A; Moradkhani H, 2016, 'Hydrologic modeling in dynamic catchments: A data assimilation approach', Water Resources Research, vol. 52, pp. 3350 - 3372, http://dx.doi.org/10.1002/2015WR017192

Shoaib SA; Marshall L; Sharma A, 2016, 'A metric for attributing variability in modelled streamflows', Journal of Hydrology, vol. 541, pp. 1475 - 1487, http://dx.doi.org/10.1016/j.jhydrol.2016.08.050

Smith T; Hayes K; Marshall L; McGlynn B; Jencso K, 2016, 'Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model', Hydrological Processes, vol. 30, pp. 5027 - 5038, http://dx.doi.org/10.1002/hyp.10955

Pathiraja S; Marshall L; Sharma A; Moradkhani H, 2016, 'Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation', Advances in Water Resources, vol. 94, pp. 103 - 119, http://dx.doi.org/10.1016/j.advwatres.2016.04.021

Tang Y; Marshall L; Sharma A; Smith T, 2016, 'Tools for investigating the prior distribution in Bayesian hydrology', Journal of Hydrology, vol. 538, pp. 551 - 562, http://dx.doi.org/10.1016/j.jhydrol.2016.04.032

Mensah DK; Nott DJ; Tan LSL; Marshall L, 2016, 'Functional models for longitudinal data with covariate dependent smoothness', Electronic Journal of Statistics, vol. 10, pp. 527 - 549, http://dx.doi.org/10.1214/16-EJS1113

Wetlaufer K; Hendrikx J; Marshall L, 2016, 'Spatial heterogeneity of snow density and its influence on snow water equivalence estimates in a large mountainous basin', Hydrology, vol. 3, pp. 3 - 3, http://dx.doi.org/10.3390/hydrology3010003

Kleindl WJ; Rains MC; Marshall LA; Hauer FR, 2015, 'Fire and flood expand the floodplain shifting habitat mosaic concept', Freshwater Science, vol. 34, pp. 1366 - 1382, http://dx.doi.org/10.1086/684016

Smith T; Marshall L; Sharma A, 2015, 'Modeling residual hydrologic errors with Bayesian inference', Journal of Hydrology, vol. 528, pp. 29 - 37, http://dx.doi.org/10.1016/j.jhydrol.2015.05.051

Schleier JJ; Marshall LA; Davis RS; Peterson RKD, 2015, 'A quantitative approach for integrating multiple lines of evidence for the evaluation of environmental health risks', PeerJ, vol. 2015, http://dx.doi.org/10.7717/peerj.730

Long JA; Lawrence RL; Miller PR; Marshall LA; Greenwood MC, 2014, 'Adoption of cropping sequences in northeast Montana: A spatio-temporal analysis', Agriculture, Ecosystems and Environment, vol. 197, pp. 77 - 87, http://dx.doi.org/10.1016/j.agee.2014.07.022

Zhao Y; Sharma A; Sivakumar B; Marshall L; Wang P; Jiang J, 2014, 'A Bayesian method for multi-pollution source water quality model and seasonal water quality management in river segments', Environmental Modelling and Software, vol. 57, pp. 216 - 226, http://dx.doi.org/10.1016/j.envsoft.2014.03.005

Long JA; Lawrence RL; Miller PR; Marshall LA, 2014, 'Changes in field-level cropping sequences: Indicators of shifting agricultural practices', Agriculture, Ecosystems and Environment, vol. 189, pp. 11 - 20, http://dx.doi.org/10.1016/j.agee.2014.03.015

Jones LA; Muhlfeld CC; Marshall LA; Mcglynn BL; Kershner JL, 2014, 'Estimating thermal regimes of bull trout and assessing the potential effects of climate warming on critical habitats', River Research and Applications, vol. 30, pp. 204 - 216, http://dx.doi.org/10.1002/rra.2638

Smith T; Marshall L; Sharma A, 2014, 'Predicting hydrologic response through a hierarchical catchment knowledgebase: A Bayes empirical Bayes approach', Water Resources Research, vol. 50, pp. 1189 - 1204, http://dx.doi.org/10.1002/2013WR015079

Smith T; Marshall L; McGlynn B, 2014, 'Calibrating hydrologic models in flow-corrected time', Water Resources Research, vol. 50, pp. 748 - 753, http://dx.doi.org/10.1002/2013WR014635

Nott DJ; Marshall L; Fielding M; Liong SY, 2014, 'Mixtures of experts for understanding model discrepancy in dynamic computer models', Computational Statistics and Data Analysis, vol. 71, pp. 491 - 505, http://dx.doi.org/10.1016/j.csda.2013.04.020

Smith T; Marshall L; McGlynn B; Jencso K, 2013, 'Using field data to inform and evaluate a new model of catchment hydrologic connectivity', Water Resources Research, vol. 49, pp. 6834 - 6846, http://dx.doi.org/10.1002/wrcr.20546

Jeremiah E; Marshall L; Sharma A, 2013, 'Modelling and understanding the hierarchy in a mixture of experts using multiple catchment descriptors', Journal of Hydrology, vol. 507, pp. 273 - 286, http://dx.doi.org/10.1016/j.jhydrol.2013.09.049

Jones LA; Muhlfeld CC; Marshall LA; Mcglynn BL; Kershner JL, 2013, 'Estimating thermal regimes of bull trout and assessing the potential effects of climate warming on critical habitats', River Research and Applications, http://dx.doi.org/10.1002/rra.2638

Long JA; Lawrence RL; Greenwood MC; Marshall L; Miller PR, 2013, 'Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest', GIScience and Remote Sensing, vol. 50, pp. 418 - 436, http://dx.doi.org/10.1080/15481603.2013.817150

Mullen R; Marshall L; Mcglynn B, 2013, 'A beta regression model for improved solar radiation predictions', Journal of Applied Meteorology and Climatology, vol. 52, pp. 1923 - 1938, http://dx.doi.org/10.1175/JAMC-D-12-038.1

Jeremiah E; Marshall L; Sisson SA; Sharma A, 2013, 'Specifying a hierarchical mixture of experts for hydrologic modeling: Gating function variable selection', Water Resources Research, vol. 49, pp. 2926 - 2939, http://dx.doi.org/10.1002/wrcr.20150

Kelleher C; Wagener T; Gooseff M; McGlynn B; McGuire K; Marshall L, 2012, 'Investigating controls on the thermal sensitivity of Pennsylvania streams', Hydrological Processes, vol. 26, pp. 771 - 785, http://dx.doi.org/10.1002/hyp.8186

Nott DJ; Marshall L; Ngoc TM, 2012, 'The ensemble Kalman filter is an ABC algorithm', Statistics and Computing, vol. 22, pp. 1273 - 1276, http://dx.doi.org/10.1007/s11222-011-9300-x

Schleier JJ; Peterson RKD; Irvine KM; Marshall LM; Weaver DK; Preftakes CJ, 2012, 'Environmental fate model for ultra-low-volume insecticide applications used for adult mosquito management', Science of the Total Environment, vol. 438, pp. 72 - 79, http://dx.doi.org/10.1016/j.scitotenv.2012.07.059

Wagener T; Kelleher C; Weiler M; McGlynn B; Gooseff M; Marshall L; Meixner T; McGuire K; Gregg S; Sharma P; Zappe S, 2012, 'It takes a community to raise a hydrologist: The Modular Curriculum for Hydrologic Advancement (MOCHA)', Hydrology and Earth System Sciences, vol. 16, pp. 3405 - 3418, http://dx.doi.org/10.5194/hess-16-3405-2012


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