Lucy Marshall
Cited by
Cited by
Hydrologic connectivity between landscapes and streams: Transferring reach‐and plot‐scale understanding to the catchment scale
KG Jencso, BL McGlynn, MN Gooseff, SM Wondzell, KE Bencala, ...
Water Resources Research 45 (4), 2009
A comparative study of Markov chain Monte Carlo methods for conceptual rainfall‐runoff modeling
L Marshall, D Nott, A Sharma
Water Resources Research 40 (2), 2004
Investigating controls on the thermal sensitivity of Pennsylvania streams
C Kelleher, T Wagener, M Gooseff, B McGlynn, K McGuire, L Marshall
Hydrological Processes 26 (5), 771-785, 2012
Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques
TJ Smith, LA Marshall
Water Resources Research 44 (12), 2008
Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest
JA Long, RL Lawrence, MC Greenwood, L Marshall, PR Miller
GIScience & Remote Sensing 50 (4), 418-436, 2013
Towards dynamic catchment modelling: a Bayesian hierarchical mixtures of experts framework
L Marshall, D Nott, A Sharma
Hydrological Processes: An International Journal 21 (7), 847-861, 2007
Modeling residual hydrologic errors with Bayesian inference
T Smith, L Marshall, A Sharma
Journal of Hydrology 528, 29-37, 2015
Hydrological model selection: A Bayesian alternative
L Marshall, D Nott, A Sharma
Water resources research 41 (10), 2005
Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments
T Smith, A Sharma, L Marshall, R Mehrotra, S Sisson
Water Resources Research 46 (12), 2010
Landscape structure and climate influences on hydrologic response
F Nippgen, BL McGlynn, LA Marshall, RE Emanuel
Water Resources Research 47 (12), 2011
Hydrologic modeling in dynamic catchments: A data assimilation approach
S Pathiraja, L Marshall, A Sharma, H Moradkhani
Water Resources Research 52 (5), 3350-3372, 2016
Estimating thermal regimes of bull trout and assessing the potential effects of climate warming on critical habitats
LA Jones, CC Muhlfeld, LA Marshall, BL McGlynn, JL Kershner
River Research and Applications 30 (2), 204-216, 2014
Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?
DJ Nott, L Marshall, J Brown
Water Resources Research 48 (12), 2012
Data‐driven model uncertainty estimation in hydrologic data assimilation
S Pathiraja, H Moradkhani, L Marshall, A Sharma, G Geenens
Water resources research 54 (2), 1252-1280, 2018
Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers
E Jeremiah, S Sisson, L Marshall, R Mehrotra, A Sharma
Water Resources Research 47 (7), 2011
Revisiting pan evaporation trends in Australia a decade on
CM Stephens, TR McVicar, FM Johnson, LA Marshall
Geophysical Research Letters 45 (20), 11,164-11,172, 2018
Modeling the catchment via mixtures: Issues of model specification and validation
L Marshall, A Sharma, D Nott
Water resources research 42 (11), 2006
Calibrating and assessing uncertainty in coastal numerical models
JA Simmons, MD Harley, LA Marshall, IL Turner, KD Splinter, RJ Cox
Coastal Engineering 125, 28-41, 2017
Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation
S Pathiraja, L Marshall, A Sharma, H Moradkhani
Advances in water resources 94, 103-119, 2016
Modeling water quality in watersheds: From here to the next generation
B Fu, JS Horsburgh, AJ Jakeman, C Gualtieri, T Arnold, L Marshall, ...
Water Resources Research 56 (11), e2020WR027721, 2020
The system can't perform the operation now. Try again later.
Articles 1–20