Discharge estimation under uncertainty using variational methods with application to the full Saint‐Venant hydraulic network model
Sign Up to like & getrecommendations! Published in 2017 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.4273
Abstract: Summary Estimating river discharge from in situ and/or remote sensing data is a key issue for evaluation of water balance at local and global scales and for water management. Variational data assimilation (DA) is a… read more here.
Keywords: uncertainty; model; discharge; estimation uncertainty ... See more keywords
R2R-EU: Software for fragility fitting and evaluation of estimation uncertainty in seismic risk analysis
Sign Up to like & getrecommendations! Published in 2020 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2020.106093
Abstract: Abstract Analytical methods in performance-based earthquake engineering (PBEE) typically employ suites of ground motion records to run dynamic analysis of a structure's computer model. The sample size of ground motions used in this context, affects… read more here.
Keywords: analysis; estimation uncertainty; uncertainty; seismic risk ... See more keywords
The influence of numerical error on parameter estimation and uncertainty quantification for advective PDE models.
Sign Up to like & getrecommendations! Published in 2019 at "Inverse problems"
DOI: 10.1088/1361-6420/ab10bb
Abstract: Advective partial differential equations can be used to describe many scientific processes. Two significant sources of error that can cause difficulties in inferring parameters from experimental data on these processes include (i) noise from the… read more here.
Keywords: parameter estimation; numerical error; error; estimation uncertainty ... See more keywords