Lucy Marshall
Title
Cited by
Cited by
Year
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
5062009
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
2612004
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
1502012
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
1172008
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
1052013
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
1002007
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
942010
Hydrological model selection: A Bayesian alternative
L Marshall, D Nott, A Sharma
Water resources research 41 (10), 2005
942005
Landscape structure and climate influences on hydrologic response
F Nippgen, BL McGlynn, LA Marshall, RE Emanuel
Water Resources Research 47 (12), 2011
882011
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
782014
Modeling residual hydrologic errors with Bayesian inference
T Smith, L Marshall, A Sharma
Journal of Hydrology 528, 29-37, 2015
772015
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
672016
Modeling the catchment via mixtures: Issues of model specification and validation
L Marshall, A Sharma, D Nott
Water resources research 42 (11), 2006
662006
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
572011
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
562012
Approximate Bayesian computation and Bayes’ linear analysis: Toward high-dimensional ABC
DJ Nott, Y Fan, L Marshall, SA Sisson
Journal of Computational and Graphical Statistics 23 (1), 65-86, 2014
492014
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
472016
Spatiotemporal relationships between climate and whitebark pine mortality in the Greater Yellowstone Ecosystem
JT Jewett, RL Lawrence, LA Marshall, PE Gessler, SL Powell, SL Savage
Forest Science 57 (4), 320-335, 2011
442011
Taking the pulse of hydrology education
T Wagener, M Weiler, B McGlynn, M Gooseff, T Meixner, L Marshall, ...
Hydrological Processes: An International Journal 21 (13), 1789-1792, 2007
422007
It takes a community to raise a hydrologist: the Modular Curriculum for Hydrologic Advancement (MOCHA)
T Wagener, C Kelleher, M Weiler, B McGlynn, M Gooseff, L Marshall, ...
Hydrology and Earth System Sciences 16 (9), 3405-3418, 2012
392012
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Articles 1–20