[PDF] Top 20 Reconstruction and Estimation of Flows Using Resolvent Analysis and Data-Assimilation
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Reconstruction and Estimation of Flows Using Resolvent Analysis and Data-Assimilation
... turbulence, both resonant and pseudo-resonant mechanisms are relevant. Three wavenumber triplets, representative of the near-wall cycle, VLSM’s, and station- ary disturbances, highlight the competing influences of ... See full document
210
Data assimilation and resolvent analysis of turbulent flow behind a wall-proximity rib.
... bility analysis (LSA) on the mean flow, capturing the evolu- tion of small perturbations upon the steady mean flow that is forced by the Reynolds ...stability analysis tools have been developed, 17–19 the ... See full document
16
Parameter estimation using ensemble based data assimilation in the presence of model error
... ments using an atmospheric general circulation model in which the convective scheme parameters are estimated using an ensemble-based data assimilation ...show, using an observing system ... See full document
15
Development and evaluation of a system of proxy data assimilation for paleoclimate reconstruction
... skill using the outputs of the sensitiv- ity ...proxy data assimilation from the idealized ...the analysis and the truth, or the observation, for the experiments are shown in ... See full document
15
Estimation of the Ocean Skin Temperature using the NASA GEOS Atmospheric Data Assimilation System
... GEOS-ADAS, analysis of MW observations in the SST-relevant frequency range is currently under development, and we do not consider them in this ...only data was obtained from the Environmental Modeling ... See full document
88
Toward low order models of wall turbulence using resolvent analysis
... forcing using DNS of wall-bounded turbulent flows. First, DNS data of a turbulent channel were used to directly compute the nonlinear or forcing ...DNS data of a turbulent boundary layer were ... See full document
10
Data assimilation for morphodynamic model parameter estimation: a hybrid approach.
... an analysis at a single ...The analysis time is usually taken as the midpoint of the observation time ...sequential data assimilation method. With sequential assimilation the model is ... See full document
26
Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model
... discussion Using a computationally fast DA approach, we assimilated pseudo-observations and real observations within an ensem- ble of precomputed RCM ...and analysis quantities is ...the estimation ... See full document
16
Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model
... discussion Using a computationally fast DA approach, we assimilated pseudo-observations and real observations within an ensem- ble of precomputed RCM ...and analysis quantities is ...the estimation ... See full document
16
Nonlinear data-assimilation using implicit models
... the assimilation in- terval, which gives a gradient that is more accurate than when an adjoint method was ...the estimation tech- nique more suitable for parameter estimation in nonlinear ... See full document
11
Improving flood prediction using data assimilation
... corrected using downstream flow ...with data assimilation is found to be much greater than the effect of correcting water levels and discharge, particularly in the longer ...real data in a ... See full document
165
Estimation and calibration of observation impact signals using the Lanczos method in NOAA/NCEP data assimilation system
... the analysis error ...the analysis er- ror variance estimates by computing the leading eigenvec- tors of the Hessian ...experiments using a simple univariate 3-D-Var on a cyclic one-dimensional ... See full document
17
A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction
... of estimation problems can be ...accurate data reconstruction, ranging from simple interpolation techniques to more sophisticated approaches which take advantage of the underlying governing equations ... See full document
29
Data assimilation for precipitation nowcasting using Bayesian inference
... Bayes data assimilation method for the stochastic estimation of precipitation dynamics using radar observations for short term probabilistic forecasting ...field using a basis function ... See full document
22
Resolvent-Based Modeling of Flows in a Channel
... 2D/3C resolvent framework, we showed we could compute an ac- curate representation of an ECS solution starting from a laminar profile using an iterative procedure (rooted in the vision of the ... See full document
101
Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... variational data assimilation problem aimed at the re- construction of unknown parameters of the ...of assimilation depends on the observations that may contain ...variational data ... See full document
11
Model error estimation in ensemble data assimilation
... 4.5 Limitations with respect to applicability The applicability of the EnKiF is hampered by the existence condition (27). For a constant bias error affecting all state variables in the same way, one measurement is in ... See full document
13
Analysis of data assimilation schemes
... systems, using the Lorenz ’96 model as a canonical ...noise-free data, is robust to the addition of noise, in both the continuous and discrete time ... See full document
131
Data Assimilation Methods for Neuronal State and Parameter Estimation
... state estimation results when the observed voltage is from the SNIC regime, but the UKF is initialized with parameter guess corresponding to the Hopf ...the estimation window, the states and model ... See full document
38
Hydrologic Data Assimilation: State Estimation and Model Calibration
... hydrologic data assimilation techniques: 1) to determine the applicability of assimilation of remotely sensed data in operational models and 2) to compare the effectiveness of ... See full document
110
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