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Título:
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Wave height data assimilation using non-stationary kriging
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Autor/a:
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Tolosana Delgado, Raimon; Egozcue Rubí, Juan José; Sánchez-Arcilla Conejo, Agustín; Gómez Aguar, Jesús Javier
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III; Universitat Politècnica de Catalunya. Departament d'Enginyeria Hidràulica, Marítima i Ambiental; Universitat Politècnica de Catalunya. NRG - Riscos Naturals i Geoestadística; Universitat Politècnica de Catalunya. LIM/UPC - Laboratori d'Enginyeria Marítima |
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Abstract:
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Data assimilation into numerical models should be both computationally fast and physically meaningful, in order to be applicable in online environmental surveillance. We present a way to improve assimilation for computationally intensive models, based on non-stationary kriging and a separable space–time covariance function. The method is illustrated with significant wave height data. The covariance function
is expressed as a collection of fields: each one is obtained as the empirical covariance between the studied property(significant wave height in log-scale)at a pixel where a measurement is located (a wave-buoy is
available)and the same parameter at every other pixel of thef ield. These covariances are computed from the available history of forecasts. The method provides a set of weights, that can be mapped for each
measuring location, and that do not vary with time. Resulting weights may be used in a weighted average of the differences between the forecast and measured parameter. In the case presented, these weights may show long-range connection patterns, such as between the Catalan coast and the eastern coast of Sardinia, associated to common prevailing meteo-oceanographic conditions. When such patterns are considered as non-informative of the present situation, it is always possible to diminish their influence by relaxing the covariance maps. |
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Materia(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
-Kalman filtering
-Kriging
-Geology--Statistical methods
-Waves--Mathematical models
-Filtres de Kalman
-Geologia -- Mètodes estadístics
-Ones -- Models matemàtics |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Artículo |
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