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Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood

The data to construct the missing wind-speed value in the weather station record at “Collado de Yuste”, between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, those in “Solana del Zapatero” and “Calar Alto”. The three mentioned stations ar...

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Detalles Bibliográficos
Autores principales: Cama-Pinto, Dora, Chávez-Muñoz, Pastor David, Solano-Escorcia, Andres Felipe, Cama-Pinto, Alejandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327817/
https://www.ncbi.nlm.nih.gov/pubmed/32637469
http://dx.doi.org/10.1016/j.dib.2020.105835
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author Cama-Pinto, Dora
Chávez-Muñoz, Pastor David
Solano-Escorcia, Andres Felipe
Cama-Pinto, Alejandro
author_facet Cama-Pinto, Dora
Chávez-Muñoz, Pastor David
Solano-Escorcia, Andres Felipe
Cama-Pinto, Alejandro
author_sort Cama-Pinto, Dora
collection PubMed
description The data to construct the missing wind-speed value in the weather station record at “Collado de Yuste”, between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, those in “Solana del Zapatero” and “Calar Alto”. The three mentioned stations are located in the mountain range of the province of Almeria, Autonomous Community of Andalusia, Spain. After calculating the degree of association using the correlation coefficient [1] and Wavelet Transform Scalogram [2], the data was successfully constructed. This paper refers to another study: Wind missing data arrangement using wavelet based techniques for getting maximum likelihood [3].
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spelling pubmed-73278172020-07-06 Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood Cama-Pinto, Dora Chávez-Muñoz, Pastor David Solano-Escorcia, Andres Felipe Cama-Pinto, Alejandro Data Brief Energy The data to construct the missing wind-speed value in the weather station record at “Collado de Yuste”, between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, those in “Solana del Zapatero” and “Calar Alto”. The three mentioned stations are located in the mountain range of the province of Almeria, Autonomous Community of Andalusia, Spain. After calculating the degree of association using the correlation coefficient [1] and Wavelet Transform Scalogram [2], the data was successfully constructed. This paper refers to another study: Wind missing data arrangement using wavelet based techniques for getting maximum likelihood [3]. Elsevier 2020-06-11 /pmc/articles/PMC7327817/ /pubmed/32637469 http://dx.doi.org/10.1016/j.dib.2020.105835 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Energy
Cama-Pinto, Dora
Chávez-Muñoz, Pastor David
Solano-Escorcia, Andres Felipe
Cama-Pinto, Alejandro
Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
title Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
title_full Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
title_fullStr Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
title_full_unstemmed Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
title_short Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
title_sort data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327817/
https://www.ncbi.nlm.nih.gov/pubmed/32637469
http://dx.doi.org/10.1016/j.dib.2020.105835
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