[PDF] Top 20 Operational hydrological data assimilation with the recursive ensemble Kalman filter
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Operational hydrological data assimilation with the recursive ensemble Kalman filter
... mate data from Tait et al. (2006) who interpolated data from over 500 climate stations in New Zealand across a regular ...precipitation data were bias-corrected using a water bal- ance approach ... See full document
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Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0)
... an ensemble-based data assimilation and forecast system for volcanic ash disper- sal and deposition aimed at reducing uncertainties related to eruption source ...the ensemble transform ... See full document
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Identification of hydrological model parameter variation using ensemble Kalman filter
... the assimilation procedure to identify the temporal vari- ation of model ...in hydrological model parameters (Paik et ...corresponding data from a real catchment, and runoff is then produced using ... See full document
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Using ensemble data assimilation to forecast hydrological flumes
... our data as- similation algorithm, we have chosen a recent version of the Ensemble Kalman Filter, the Variational Ensemble Kalman Filter (VEnKF) introduced by Solonen et ... See full document
10
Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States
... Encouragingly, the ESP-based assessment of automated SWE DA in the case study watersheds shows clearly the po- tential for SWE DA to enhance seasonal runoff forecasts, which is notable as the objective incorporation of ... See full document
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Evaluation of the Four-dimensional Ensemble-Variational Hybrid Data Assimilation with Self-consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts
... four-dimensional ensemble-variational (GSI-4DEnVar) hybrid data assimilation system for the Hurricane Weather Research and Forecasting model (HWRF) model is evaluated in this ...four-dimensional ... See full document
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An integrated uncertainty and ensemble based data assimilation approach for improved operational streamflow predictions
... and ensemble-based data assimilation framework (ICEA) and evaluates its viability in providing operational streamflow predictions via assimilating snow water equiva- lent (SWE) ...an ... See full document
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Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation
... the assimilation of concentration measure- ments is better handled by the EnKF due to the violation of Gaussianity investigated earlier with the different scenarios and to the high nonlinearity of the problem ... See full document
15
Merging particle filter for sequential data assimilation
... particle filter (PF) (Gordon et ...on ensemble approxima- tion of a ...observed data is nonlin- ear, to which the application of the ensemble Kalman filter (EnKF) is not ... See full document
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Strategies for coupling global and limited-area ensemble Kalman filter assimilation
... the data assimilation system is the Local Ensemble Trans- form Kalman Filter (Ott et ...area data assimilation in principle, rather than develop rec- ommendations for the ... See full document
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Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model
... a data assimilation system based on the rCTM CHIMERE in an EnKF framework and using sur- face ozone observations provided by the European Airbase ...for assimilation with an average closest distance ... See full document
20
Covariance resampling for particle filter – state and parameter estimation for soil hydrology
... Data assimilation methods, originally used for state es- timation only, are adapted to also estimate parameters and other model components like the boundary ...The ensemble Kalman ... See full document
16
Reservoir Multiscale Data Assimilation Using the Ensemble Kalman Filter
... integrate data at different spatial scales using the ensemble Kalman filter (EnKF), such that the finest scale data is sequentially estimated, subject to the available data at ... See full document
16
Data assimilation in integrated hydrological modeling using ensemble Kalman filtering: evaluating the effect of ensemble size and localization on filter performance
... real data and ...several hydrological models, includ- ing the Karup catchment model (Refsgaard, ...the ensemble members, and thereby better filter performance in terms of distributing the ... See full document
15
A comparison of ensemble Kalman filter and extended Kalman filter as the estimation system in sensorless BLDC motor
... The most important of the EKF as an estimation system is to determine the best initial values for the three covariance matrices, namely, Q, R, and P, since these initial values are highly contributing on the ... See full document
8
Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction
... the ensemble Kalman filter (EnKF) – augmented with an online bias correction (OBC) algorithm – to assimilate SSH anomaly measurements from TOPEX/Poseidon (T/P) and in situ temperature data ... See full document
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Ruckstuhl, Yvonne (2019): Joint state and parameter estimation to address model error in convective scale numerical weather prediction systems. Dissertation, LMU München: Fakultät für Physik
... of data assimilation method depends on scale, regional climate, type and availability of observations, computational capacity, but also on the goal of the weather prediction ...from data ... See full document
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Application of ensemble transform data assimilation methods for parameter estimation in reservoir modeling
... initial ensemble shown in ...with ensemble size 10 3 and this good initial ensemble gives the RMSE ...with ensemble size 10 5 by IS (Fig. 9d), with ensemble size 10 3 by ETPF ... See full document
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The Ensemble Kalman filter: a signal processing perspective
... the Kalman filter (KF) [2] as algorithm for linear systems and the Bayesian filtering equations [15] as theoreti- cal solution for nonlinear and non-Gaussian ...point Kalman filters [4, 5] started to ... See full document
16
A global carbon assimilation system using a modified ensemble Kalman filter
... Figure 4. Annual means of carbon budgets (PgC yr −1 ) on 11 Transcom regions in four different cases. Four cases are associated with prior values modeled with ecosystem model BEPS, assimi- lated results using GCAS-EK ... See full document
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