Sahani Pathiraja
Cited by
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Why continuous simulation? The role of antecedent moisture in design flood estimation
S Pathiraja, S Westra, A Sharma
Water Resources Research 48 (6), 2012
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
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
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
Time-varying parameter models for catchments with land use change: the importance of model structure
S Pathiraja, D Anghileri, P Burlando, A Sharma, L Marshall, H Moradkhani
Hydrology and Earth System Sciences 22 (5), 2903-2919, 2018
Fundamentals of data assimilation and theoretical advances
H Moradkhani, G Nearing, P Abbaszadeh, S Pathiraja
Handbook of hydrometeorological ensemble forecasting, 1-26, 2018
Discrete gradients for computational Bayesian inference
S Pathiraja, S Reich
Journal of Computational Dynamics 6 (2), 2019
Perturbations and projections of Kalman–Bucy semigroups
AN Bishop, P Del Moral, SD Pathiraja
Stochastic Processes and their Applications 128 (9), 2857-2904, 2018
McKean--Vlasov SDEs in nonlinear filtering
S Pathiraja, S Reich, W Stannat
SIAM Journal on Control and Optimization 59 (6), 4188-4215, 2021
Insights on the impact of systematic model errors on data assimilation performance in changing catchments
S Pathiraja, D Anghileri, P Burlando, A Sharma, L Marshall, H Moradkhani
Advances in Water Resources 113, 202-222, 2018
Hemodynamic data assimilation in a subject-specific circle of willis geometry
F Gaidzik, S Pathiraja, S Saalfeld, D Stucht, O Speck, D Thévenin, ...
Clinical Neuroradiology 31 (3), 643-651, 2021
Ensemble transform algorithms for nonlinear smoothing problems
J de Wiljes, S Pathiraja, S Reich
SIAM Journal on Scientific Computing 42 (1), A87-A114, 2020
L2 convergence of smooth approximations of Stochastic Differential Equations with unbounded coefficients
S Pathiraja
arXiv preprint arXiv:2011.13009, 2020
Model Uncertainty Quantification Methods In Data Assimilation
SD Pathiraja, LA Marshall, A Sharma, H Moradkhani
AGU Fall Meeting Abstracts 2017, U13B-34, 2017
Perturbations and Projections of Kalman-Bucy Semigroups Motivated by Methods in Data Assimilation
AN Bishop, P Del Moral, SD Pathiraja
arXiv preprint arXiv:1701.05978, 2017
Analysis of the feedback particle filter with diffusion map based approximation of the gain
S Pathiraja, W Stannat
Foundations of Data Science 3 (3), 615-645, 2021
Multiplicative non-Gaussian model error estimation in data assimilation
S Pathiraja, PJ van Leeuwen
arXiv preprint arXiv:1807.09621, 2021
Model Uncertainty Quantification for Data Assimilation in partially observed multi-scale systems
S Pathiraja, PJ Van Leeuwen
EGU General Assembly Conference Abstracts, 12687, 2018
Improving Data Assimilation Algorithms for Enhanced Environmental Predictions
S Pathiraja
UNSW Sydney, 2018
Model Uncertainty Quantification Methods For Data Assimilation In Partially Observed Multi-Scale Systems
SD Pathiraja, PJ van Leeuwen
AGU Fall Meeting Abstracts 2017, NG31A-0154, 2017
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