A Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile

Orietta Nicolis (), Mailiu Díaz () and Omar Cuevas ()
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Orietta Nicolis: University Andres Bello, Faculty of Engineering
Mailiu Díaz: University of Valparaiso, Institute of Statistics
Omar Cuevas: Institute of Physics and Astronomy

A chapter in Quantitative Methods in Environmental and Climate Research, 2018, pp 85-98 from Springer

Abstract: Abstract In this work we propose a spatio-temporal approach for predicting the wind speed nearby the coast of Valparaiso, Chile, by using the observations collected by some meteorological stations and the output of a Weather Research and Forecasting (WRF) model. A cross validation study is implemented for evaluating the performance of the model.

Keywords: Spatio-temporal model; Wind speed; WRF output; Cross-validation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-01584-8_5

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DOI: 10.1007/978-3-030-01584-8_5

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