Spatial estimation of sub-hour global horizontal irradiance based on official observations and remote sensors

Sensors (Switzerland)

Volumn 14, Issue 4, 2014, Pages 6758-6787

  Gutierrez Corea, Federico Vladimir ^a   Manso Callejo, Miguel Angel ^a   Moreno Regidor, María Pilar ^a   Velasco Gómez, Jesús ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

15 minute global solar radiation; Spatial interpolation; Volunteer stations

Indexed keywords

ESTIMATION; IMAGE CODING; RESEARCH; SATELLITES; SUN;

DETERMINISTIC METHODS; ESTIMATION MODELS; GLOBAL SOLAR RADIATION; INTERPOLATION METHOD; REGRESSION-KRIGING; SPATIAL ESTIMATION; SPATIAL INTERPOLATION; STANDARD DEVIATION;

INTERPOLATION;

EID: 84898621884     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s140406758     Document Type: Article

References (66)

1. Hernández, L.; Baladrón, C.; Aguiar, J.M.; Calavia, L.; Carro, B.; Sánchez-Esguevillas, A.; Cook, D.J.; Chinarro, D.; Gómez, J. A Study of the Relationship between Weather Variables and Electric Power Demand Inside a Smart grid/smart World Framework. Sensors 2012, 12, 11571-11591.
2. Salcedo-Sanz, S.; Pérez-Bellido, Á.M.; Ortiz-García, E.G.; Portilla-Figueras, A.; Prieto, L.; Correoso, F. Accurate Short-Term Wind Speed Prediction by Exploiting Diversity in Input Data using Banks of Artificial Neural Networks. Neurocomputing 2009, 72, 1336-1341.
3. Running, S.W.; Nemani, R.R.; Hungerford, R.D. Extrapolation of Synoptic Meteorological Data in Mountainous Terrain and its use for Simulating Forest Evapotranspiration and Photosynthesis. Can. J. For. Res. 1987, 17, 472-483.
4. Roebber, P.J.; Schultz, D.M.; Colle, B.A.; Stensrud, D.J. Toward Improved Prediction: High-Resolution and Ensemble Modeling Systems in Operations. Weather Forecast. 2004, 19, 936-949.
5. Badescu, V. Modeling Solar Radiation at the Earth's Surface, 2008th ed.; Springer-Verlag: Berlin, Germany, 2008; pp. 517.
6. The National Renewable Energy Laboratory (NREL). National Solar Radiation Data Base (1961-1990) User's Manual; National Climatic Data Center: Asheville, NC, USA, 1992
7. Polo, J.; Zarzalejo, L.F.; Ramírez, L. Solar radiation derived from satellite images. In Modeling Solar Radiation at the Earth's Surface, 2008th ed.; Springer-Verlag: Berlin, Germany, 2008; pp. 449-462.
8. Antonanzas-Torres, F.; Cañizares, F.; Perpiñán, O. Comparative Assessment of Global Irradiation from a Satellite Estimate Model (CM SAF) and on-Ground Measurements (SIAR): A Spanish Case Study. Renew. Sustain. Energy Rev. 2013, 21, 248-261.
9. Blanc, P.; Gschwind, B.; Lefèvre, M.; Wald, L. The HelioClim Project: Surface Solar Irradiance Data for Climate Applications. Remote Sens. 2011, 3, 343-361.
10. Rigollier, C.; Lefèvre, M.; Wald, L. The Method Heliosat-2 for Deriving Shortwave Solar Radiation from Satellite Images. Sol. Energy 2004, 77, 159-169.
11. Knights, M. Web 2.0. Commun. Eng. 2007, 5, 30-35.
12. Schroth, C.; Janner, T. Web 2.0 and SOA: Converging Concepts Enabling the Internet of Services. IT Prof. 2007, 9, 36-41.
13. Yanes, A. OpenWeather: A Peer-to-Peer Weather Data Transmission Protocol. MS.c. Thesis, Technology Aalto University, Espoo, Finland, 31 August 2011.
14. Goodchild, M.F. Citizen as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0. Int. J. Spat. Data Infrastruct. Res. 2007, 2, 24-32.
15. Williams, M.; Cornford, D.; Bastin, L.; Jones, R.; Parker, S. Automatic Processing, Quality Assurance and Serving of Real-Time Weather Data Over Lightweight Protocols. In Proceedings of the 2009 Conference on Spatial Statistics and GIS, Milos Island, Grecee, 18 June 2009.
16. Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswami, M. Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Gener. Comput. Syst. 2013, 29, 1645-1660.
17. Miorandi, D.; Sicari, S.; de Pellegrini, F.; Chlamtac, I. Internet of Things: Vision, Applications and Research Challenges. Ad Hoc Netw. 2012, 10, 1497-1516.
18. Hartley, B. The Internet of Things-Weather Monitoring Too. In Proceedings of the WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation, Brussel, Belgium, 18 October 2012.
19. Goodchild, M.F. Citizens as Sensors: The World of Volunteered Geography. GeoJournal 2007, 69, 211-221.
20. WikiMapia. Available online: http://wikimapia.org (accessed on 16 March 2013).
21. OpenStreetMap. Available online: http://www.openstreetmap.org (accessed on 27 June 2013).
22. Neis, P.; Zielstra, D.; Zipf, A. The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-2011. Future Internet 2011, 4, 1-21.
23. Goodchild, M.F.; Li, L. Assuring the Quality of Volunteered Geographic Information. Spat. Stat. 2012, 1, 110-120.
24. Al-Bakri, M.; Fairbairn, D. Assessing Similarity Matching for Possible Integration of Feature Classifications of Geospatial Data from Official and Informal Sources. IJGIS 2012, 26, 1437-1456.
25. Finn, P.G.; Udy, N.S.; Baltais, S.J.; Price, K.; Coles, L. Assessing the Quality of Seagrass Data Collected by Community Volunteers in Moreton Bay Marine Park, Australia. Environ. Conserv. 2010, 37, 83-89.
26. Girres, J.F.; Touya, G. Quality Assessment of the French Openstreetmap Dataset. Trans. GIS 2010, 14, 435-459.
27. Heipke, C. Crowdsourcing Geospatial Data. ISPRS J. Photogramm. Remote Sens. 2010, 65, 550-557.
28. Roopa, T.; Iyer, A.N.; Rangaswamy, S. CroTIS-Crowdsourcing Based Traffic Information System. In Proceedings of the 2013 IEEE International Congress on Big Data, Santa Clara, CA, USA, 30 September 2013; pp. 271-277.
29. Gutierrez-Corea, F.; Manso-Callejo, M.; Vázquez-Hoehne, A. Assessment of the Availability of Near-Real Time Open Weather Data Provided by Networks of Surface Stations in Spain. Earth Sci. Inform. 2013, 6, 145-163.
30. La Radiación Solar. Available online: http://www.aemet.es/documentos/es/eltiempo/observacion/ radiacion/Radiacion_Solar.pdf (accessed on 30 December 2013).
31. Geoportal: Acceso a Datos. Available online: ftp://ftp.itacyl.es (accessed on 11 December 2012).
32. Qué es el Instituto Tecnológico Agrario de Castilla y León? Available online: http://www.itacyl.es/ opencms_wf/opencms/itacyl/quienes_somos/que_es_itacyl/index.html (accessed on 6 June 2013).
33. Asociación Española de Normalización y Certificación (AENOR). Redes de estaciones meteorológicas automáticas: Directrices para la validación de registros meteorológicos procedentes de redes de estaciones automáticas, validación en tiempo real (UNE 500540:2004); AENOR: Madrid, Spain, 2004.
34. Estévez, J.; Gavilán, P. Procedimientos De Validación De Datos De Estaciones Meteorológicas Automáticas. Aplicación a La Red De Información Agroclimática De Andalucía. SERVIFAPA 2008.
35. Meteoclimatic. Available online: http://www.meteoclimatic.com (accessed on 13 May 2013).
36. Hilos de Subscripción RSS Meteoclimatic. Available online: http://www.meteoclimatic.com/ index/wp/rss_es.html (accessed on 30 June 2012).
37. Sello «Meteoclimatic» a la calidad. Available online: http://www.meteoclimatic.com/index/ quamet_es.html?screen_width=1366 (accessed on 24 April 2012).
38. Meteoclimatic Karma. Available online: http://www.meteoclimatic.com/index/quamet_es.html (accessed on 4 January 2014).
39. Main Properties of the HelioClim Databases. Available online: http://www.soda-is.com/eng/helioclim/ helioclim_main_properties.html (accessed on 4 January 2014).
40. HelioClim, over view. Available online: http://www.soda-is.com/doc/summary_helioclim.pdf (accessed on 1 April 2012).
41. Overview of the SoDa Service. Available online: http://www.soda-is.com/eng/about/index.html (accessed on 2April 2012).
42. IEA-SHC Task 36 Objectives. Available online: http://archive.iea-shc.org/task36/objectives.htm (accessed on 1 September 2013).
43. HelioClim-3 Uncertainty. Available online: http://www.soda-is.com/eng/helioclim/helioclim3_ uncertainty_eng.html (accessed on 19 February 2013).
44. Alsamamra, H.; Ruiz-Arias, J.A.; Pozo-Vázquez, D.; Tovar-Pescador, J. A Comparative Study of Ordinary and Residual Kriging Techniques for Mapping Global Solar Radiation Over Southern Spain. Agric. For. Meteorol. 2009, 149, 1343-1357.
45. Evrendilek, F.; Ertekin, C. Statistical Modeling of Spatio-Temporal Variability in Monthly Average Daily Solar Radiation Over Turkey. Sensors 2007, 7, 2763-2778.
46. Ertekin, C.; Evrendilek, F. Spatio-Temporal Modeling of Global Solar Radiation Dynamics as a Function of Sunshine Duration for Turkey. Agric. For. Meteorol. 2007, 145, 36-47.
47. Moreno, A.; Gilabert, M.; Martínez, B. Mapping Daily Global Solar Irradiation Over Spain: A Comparative Study of Selected Approaches. Sol. Energy 2011, 85, 2072-2084.
48. Bojanowski, J.S.; Vrieling, A.; Skidmore, A.K. Calibration of Solar Radiation Models for Europe using Meteosat Second Generation and Weather Station Data. Agric. For. Meteorol. 2013, 176, 1-9.
49. Kumar, L.; Skidmore, A.K.; Knowles, E. Modelling Topographic Variation in Solar Radiation in a GIS Environment. Int. J. Geogr. Inf. Sci. 1997, 11, 475-497.
50. NOOA: General Solar Position Calculations. Available online: http://www.esrl.noaa.gov/ gmd/grad/solcalc/solareqns.PDF (accessed on 26 September 2011).
51. Hengl, T.; Heuvelink, G.B.; Tadić, M.P.; Pebesma, E.J. Spatio-Temporal Prediction of Daily Temperatures using Time-Series of MODIS LST Images. Theor. Appl. Climatol. 2012, 107, 265-277.
52. R Development Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2012.
53. Pebesma, E.J. Multivariable Geostatistics in S: The Gstat Package. Comput. Geosci. 2004, 30, 683-691.
54. Automap: Automatic Interpolation Package. Available online: http://cran.r-project.org/web/ packages/automap (accessed on 7 October 2011).
55. Croarkin, C.; Tobias, P. NIST/SEMATECH e-Handbook of Statistical Methods; The National Institute of Standards and Technology: Gaithersburg, MD, USA, 2010.
56. Zelenka, A.; Perez, R.; Seals, R.; Renné, D. Effective Accuracy of Satellite-Derived Hourly Irradiances. Theor. Appl. Climatol. 1999, 62, 199-207.
57. Perez, R.; Seals, R.; Zelenka, A. Comparing Satellite Remote Sensing and Ground Network Measurements for the Production of site/time Specific Irradiance Data. Sol. Energy 1997, 60, 89-96.
58. Hengl, T. A Practical Guide to Geostatistical Mapping of Environmental Variables; University of Amsterdam: Amsterdam, The Netherlands, 2009; pp. 291.
59. Pebesma, E.J. The Role of External Variables and GIS Databases in Geostatistical Analysis. Trans. GIS 2006, 10, 615-632.
60. Hudson, G. Kriging temperature in Scotland using the external drift method. In Geostatistics Troia'92; Soares, A., Ed.; Springer Netherlands: Dordrecht, The Netherlands, 1993; Volume 1, pp. 577-588.
61. Iqbal, M. An Introduction to Solar Radiation; Academic Press: New York, NY, USA, 1983.
62. Liu, B.Y.; Jordan, R.C. The Interrelationship and Characteristic Distribution of Direct, Diffuse and Total Solar Radiation. Sol. Energy 1960, 4, 1-19.
63. Ianetz, A.; Kudish, A. A method for determining the solar global and defining the diffuse and beam irradiation on a clear day. In Modeling Solar Radiation at the Earth's Surface, 2008th ed.; Springer-Verlag: Berlin, Germany, 2008; pp. 93-113.
64. Pracma: Practical Numerical Math Functions package. Available online: http://cran.r-project.org/ web/packages/pracma/index.html (accessed on 2 October 2011).
65. Perpiñán, O. SolaR: Solar Radiation and Photovoltaic Systems with R. J. Stat. Softw. 2012, 50, 1-32.
66. Rymes, M.; Myers D. Mean preserving algorithm for smoothly interpolating averaged data. Sol. Energy 2001, 71, 225-231.