|
B | C | D | E | F | I | J | L | M | N | O | P | R | S | W | Z
Lucy Marshall
Assistant Professor, Watershed Analysis; Ph.D. 2005, M.EngSc.; 2002, University of New South Wales, B.E., 2001 University of New South Wales. Quantitative analysis of hydrological data and processes. Emphasis on the study of uncertainties arising from data errors and imperfect model structures; rainfall runoff model calibration; Bayesian statistical inference in modeling natural systems; probabilistic modeling; risk analysis in water resources planning.
Recent Publications:
-
Marshall, L., A. Sharma, and D. Nott. 2007. 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, L01404, doi:10.1029/2006GL028054.
-
Marshall, L., A. Sharma, and D. Nott. 2006. Modeling the catchment via mixtures: Issues of model specification and validation. Water Resources Research 42(11):1-14.
-
Marshall, L., A. Sharma, and D. Nott. 2006. Towards dynamic catchment modelling: a Bayesian hierarchical mixtures of experts framework. Hydrological Processes DOI: 10.1002/hyp.6294.
- Sharma, A., Marshall, L. and Nott, D., 2006. A Bayesian
view of rainfall-runoff modeling: Alternatives for parameter estimation, model
comparison and hierarchical model development. In: M. Sivapalan, S. Franks, K.
Takeuchi and Y. Tachikawa (Editors), Prediction in Ungauged Basins. IAHS Press,
Wallingford, U.K.
- Marshall, L.A., D. J. Nott, A. Sharma, 2005. Hydrological
model selection: a Bayesian alternative. Water Resources Research, Vol. 41.
- Marshall, L., D. J. Nott, A. Sharma, 2004. A comparative
study of Markov chain Monte Carlo methods for conceptual rainfall-runoff
modeling Water Resources Research, Vol. 40, 1-11
Other Links:
|
