Inverse methods and data assimilation in nonlinear ocean models
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- Type
- article
- Published
- 1994-10-01
- Cited by
- 162
- References
- 83
- OpenAlex
- https://openalex.org/W2009463772
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18577419
Keywords
Data assimilation, Nonlinear system, Inverse, Computer science, Inverse problem
References
- Stochastic dynamic prediction1
- Geophysical data analysis : discrete inverse theory
- Using the Kalman smoother to analyse and process oceanographic data
- The generalized inverse of a nonlinear quasigeostrophic ocean circulation model
- The Kalman smoother for a linear quasi-geostrophic model of ocean circulation
- Suboptimal Schemes for Atmospheric Data Assimilation Based on the Kalman Filter
- Oceanographic Experiment Design by Simulated Annealing
- Variational Estimation of the Wind Stress Drag Coefficient and the Oceanic Eddy Viscosity Profile
- Theoretical Skill of Monte Carlo Forecasts
- Averaging Techniques in Long-Range Weather Forecasting
- Open Boundary Conditions for the Extended Kalman Filter With a Quasi-Geostrophic Ocean Model
- Ocean Data Assimilation and the Moan Filter: Spatial Regularity
- The Behavior of Forecast Error Covariances for a Kalman Filter in Two Dimensions
- Advanced data assimilation in strongly nonlinear dynamical systems
- Meteorological data assimilation for oceanographers. Part I: Description and theoretical framework☆
- Atmospheric Predictability and Two-Dimensional Turbulence
- Applied optimal estimation
- Weighting Initial Conditions in Variational Assimilation Schemes
- Predictability of Turbulent Flows
- Optimization by Simulated Annealing
Cited by
- Simulation of ocean circulation around the Galapagos archipelago using a hybrid coordinate ocean model (HYCOM)
- Combining stationary ocean models and mean dynamic topography data = Kombination stationärer Ozeanmodelle mit Daten der mittleren dynamischen Topographie
- Optimizing transport properties in TM5 using SF6
- Assimilation de données et analyse de sensibilité. Une application à la circulation océanique. (Data assimilation and sensitivity analysis An application to the ocean circulation)
- Using analysis state to construct a forecast error covariance matrix in ensemble Kalman filter assimilation
- Ensemble forecasting in the Mediterranean sea
- Couplage de la modélisation hydrologique avec la modélisation des transferts sol-végétation-atmosphère : application à la spatialisation et à l'assimilation des données du satellite SMOS
- Leveraging sparsity in variational data assimilation
- Modeling, Estimation and Control of Distributed Parameter Systems: Application to Transportation Networks
- Parallel filter algorithms for data assimilation in oceanography
- Coupled Dynamics in Soil: Experimental and Numerical Studies of Energy, Momentum and Mass Transfer
- Quantifying uncertainties in ocean preditions / Advances in Computational Oceanography
- Efficient concepts for optimal experimental design in nonlinear environmental systems
- A relocatable EnKF ocean data assimilation tool for heterogeneous observational networks
- Framework for multi-vehicle adaptive sampling of jets and plumes in coastal zones
- Variational assimilation of remote sensing data for land surface hydrologic applications
- Ensemble Filtering Methods for Nonlinear Dynamics
- A review of the possible applications of satellite earth observation data within EuroGOOS
- Estimating open-ocean boundary conditions : sensitivity studies
- Physical and biological modeling in the Gulf Stream region:: I. Data assimilation methodology
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