Geospatial state space estimation using an ensemble Kalman Filter

Sallis P.; Hernandez S.

Keywords: model, systems, models, state, patterns, simulation, information, climate, space, modelling, real-time, filter, sample, networks, filters, numerical, sensor, computer, data, representation, estimation, discrete, robust, dynamic, interpolation, climatology, methods, wireless, bayesian, ensemble, geographic, Monte, Carlo, Procedures, Sequential, Kalman, approaches, behaviours, Spatio-temporal, state-space, Geo-spatial, Geospatial

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Título según SCOPUS: Geospatial state space estimation using an ensemble Kalman Filter
Título de la Revista: International Journal of Simulation: Systems, Science and Technology
Volumen: 11
Número: 6
Editorial: United Kingdom Simulation Society
Fecha de publicación: 2010
Página de inicio: 56
Página final: 60
Idioma: English
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84855249811&partnerID=q2rCbXpz
Notas: SCOPUS