Título:
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Estimation and prediction of weather variables from surveillance data using spatio-temporal Kriging
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Autor/a:
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Dalmau Codina, Ramon; Pérez Batlle, Marcos; Prats Menéndez, Xavier
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Física; Universitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems |
Abstract:
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Abstract:
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Best paper award in Weather session at the 36th DASC - Digital Avionics Systems Conference |
Abstract:
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State-of-the-art weather data obtained from numerical weather predictions are unlikely to satisfy the requirements
of the future air traffic management system. A potential approach
to improve the resolution and accuracy of the weather predictions
could consist on using airborne aircraft as meteorological sensors,
which would provide up-to-date weather observations to the sur-
rounding aircraft and ground systems. This paper proposes to use
Kriging, a geostatistical interpolation technique, to create short-
term weather predictions from scattered weather observations
derived from surveillance data. Results show that this method
can accurately capture the spatio-temporal distribution of the
temperature and wind fields, allowing to obtain high-quality local,
short-term weather predictions and providing at the same time
a measure of the uncertainty associated with the prediction. |
Abstract:
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Peer Reviewed |
Abstract:
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Award-winning |
Materia(s):
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-Àrees temàtiques de la UPC::Física -Air traffic control -Weather forecasting -Trànsit aèri -- Control -Previsió del temps |
Derechos:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
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