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Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors
This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029700/ https://www.ncbi.nlm.nih.gov/pubmed/24732102 http://dx.doi.org/10.3390/s140406758 |
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author | Gutierrez-Corea, Federico-Vladimir Manso-Callejo, Miguel-Angel Moreno-Regidor, María-Pilar Velasco-Gómez, Jesús |
author_facet | Gutierrez-Corea, Federico-Vladimir Manso-Callejo, Miguel-Angel Moreno-Regidor, María-Pilar Velasco-Gómez, Jesús |
author_sort | Gutierrez-Corea, Federico-Vladimir |
collection | PubMed |
description | This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with that periodicity in other locations. The aim of the present research project is to analyze the goodness of 15-minute GHI spatial estimations for five methods in the territory of Spain (three geo-statistical interpolation methods, one deterministic method and the HelioSat2 method, which is based on satellite images). The research concludes that, when the work area has adequate station density, the best method for estimating GHI every 15 min is Regression Kriging interpolation using GHI estimated from satellite images as one of the input variables. On the contrary, when station density is low, the best method is estimating GHI directly from satellite images. A comparison between the GHI observed by volunteer stations and the estimation model applied concludes that 67% of the volunteer stations analyzed present values within the margin of error (average of ±2 standard deviations). |
format | Online Article Text |
id | pubmed-4029700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-40297002014-05-22 Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors Gutierrez-Corea, Federico-Vladimir Manso-Callejo, Miguel-Angel Moreno-Regidor, María-Pilar Velasco-Gómez, Jesús Sensors (Basel) Article This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with that periodicity in other locations. The aim of the present research project is to analyze the goodness of 15-minute GHI spatial estimations for five methods in the territory of Spain (three geo-statistical interpolation methods, one deterministic method and the HelioSat2 method, which is based on satellite images). The research concludes that, when the work area has adequate station density, the best method for estimating GHI every 15 min is Regression Kriging interpolation using GHI estimated from satellite images as one of the input variables. On the contrary, when station density is low, the best method is estimating GHI directly from satellite images. A comparison between the GHI observed by volunteer stations and the estimation model applied concludes that 67% of the volunteer stations analyzed present values within the margin of error (average of ±2 standard deviations). MDPI 2014-04-11 /pmc/articles/PMC4029700/ /pubmed/24732102 http://dx.doi.org/10.3390/s140406758 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Gutierrez-Corea, Federico-Vladimir Manso-Callejo, Miguel-Angel Moreno-Regidor, María-Pilar Velasco-Gómez, Jesús Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
title | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
title_full | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
title_fullStr | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
title_full_unstemmed | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
title_short | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
title_sort | spatial estimation of sub-hour global horizontal irradiance based on official observations and remote sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029700/ https://www.ncbi.nlm.nih.gov/pubmed/24732102 http://dx.doi.org/10.3390/s140406758 |
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