Analysis of the influences of uncertainties in input variables on the outcomes of the Heliosat-2 method

Solar Energy

Volumn 83, Issue 9, 2009, Pages 1731-1741

  Espinar, B ^a   Ramirez L ^a   Polo, J ^a   Zarzalejo, L F ^a   Wald, L ^b  

^a CIEMAT   (Spain)

^b PSL RESEARCH UNIVERSITY   (France)

Author keywords

Heliosat; Satellite; Solar irradiance; Uncertainty analysis

Indexed keywords

CALIBRATION COEFFICIENTS; CLEAR SKY; CLOUDY SKIES; GROUND LEVEL; HELIOSAT; INDEPENDENT VARIABLES; INPUT VARIABLES; METEOSAT; OPERATIONAL METHODS; SATELLITE IMAGES; SATELLITE SENSORS; SENSITIVITY COEFFICIENT; SINGLE PIXEL; SOLAR IRRADIANCE; SOLAR IRRADIANCES; STANDARD UNCERTAINTY; TERRAIN ELEVATION; UNCERTAINTY INTERVALS; UNCERTAINTY PROPAGATION;

SATELLITES; SOLAR RADIATION; TURBIDITY;

UNCERTAINTY ANALYSIS;

ALBEDO; CLEAR SKY; METEOSAT; PIXEL; SATELLITE IMAGERY; SOLAR RADIATION; TIME SERIES; UNCERTAINTY ANALYSIS;

EID: 67749114519     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2009.06.010     Document Type: Article

References (46)

1. Beyer H.G., Costanzo C., and Heinemann D. Modifications of the Heliosat procedure for irradiance estimates from satellite images. Solar Energy 56 (1996) 207-212
2. Blanco-Muriel M., Alarcón-Padilla D.C., López-Moratalla T., and Lara-Coria M. Computing the solar vector. Solar Energy 70 (2001) 431-441
3. Bois B., Pieri P., Van Leeuwen C., Wald L., Huard F., Gaudillère J.P., and Saur D. Using remotely sensed solar radiation data for reference evapotranspiration estimation at daily time step. Agricultural and Forest Meteorology 148 (2008) 619-630
4. Cano D., Monget J.M., Albuisson M., Guillard H., Regas N., and Wald L. A method for the determination of the global solar radiation from meteorological satellite data. Solar Energy 37 (1986) 31-39
5. Cros, S., 2004. Création d'une climatologie du rayonnement solaire incident en ondes courtes a l'aide d'images satellitales. PhD Thesis. Ecole des mines de Paris, Paris, France, pp. 44-47, 155p.
6. Diabaté L., Michaud-Regas N., and Wald L. Mapping the ground albedo of Western Africa and its time evolution during 1984 using Meteosat visible data. Remote Sensing of Environment 27 3 (1989) 211-222
7. Diabaté L., Moussu G., and Wald L. Description of an operational tool for determining global solar radiation at ground using geostationary satellite images. Solar Energy 42 3 (1989) 201-207
8. Diabaté L., Demarcq H., Michaud-Regas N., and Wald L. Estimating incident solar radiation at the surface from images of the Earth transmitted by geostationary satellites: the Heliosat Project. International Journal of Solar Energy 5 (1988) 261-278
9. ESRA, 2000. In: Scharmer, K., Greif, J., (Eds.), The European Solar Radiation Atlas. Vol. 2: Database and Exploitation Software. Les Presses de l'Ecole des Mines, Paris, France.
10. EUMETSAT. Available from: http://www.eumetsat.int.
11. Geiger M., Diabaté L., Ménard L., and Wald L. A web service for controlling the quality of measurements of global solar irradiation. Solar Energy 73 6 (2002) 475-480
12. Govaerts Y.M., Arriaga A., and Schmetz J. Operational vicarious calibration of the MSG/SEVIRI solar channels. Advances in Space Research 28 (2001) 21-30
13. Grau J., Torres R., and Massons J. Drift in the Meteosat-7 VIS channel calibration. International Journal of Remote Sensing 23 (2002) 5277-5282
14. Grüter W., Guillard H., Möser W., Monget J.M., Palz W., Raschke E., Reinhardt R.E., Schwarzmann P., and Wald L. Solar Radiation Data from Satellite Images. Vol. 4. Serie: Solar Energy R&D in the European Community, Series F (1986), Reidel Publishing Company
15. Hammer, A., 2000. Amwendungsspezifische Solarstrahlungsinformationen aus Meteosat-Daten. PhD Thesis, Farbereich Physik, Carl von Ossietzky University, Oldenburg, Germany. 107p.
16. Holland P.G., and Mayer I. On calculating the position of the Sun. International Journal of Ambient Energy 9 (1988) 47-52
17. ISO. International vocabulary of basic and general terms in metrology. second ed. (1993), International Organization for Standardization, Geneva, Switzerland
18. ISO. Guide to the Expression of Uncertainty in Measurement (1995), International Organization of Standardization, Geneva, Switzerland
19. Lefèvre, M., Albuisson, M., Wald, L., 2002. Description of the software Heliosat-II for the conversion of images acquired by Meteosat satellites in the visible band into maps of solar radiation available at ground level. Ecole des Mines de Paris - Armines, France.
20. Lefèvre M., Bauer O., Iehlé A., and Wald L. An automatic method for the calibration of time-series of Meteosat images. International Journal of Remote Sensing 21 (2000) 1025-1045
21. Lefèvre M., Wald L., and Diabaté L. Using reduced data sets ISCCP-B2 from the Meteosat satellites to assess surface solar irradiance. Solar Energy 81 (2007) 240-253
22. Mahmood R., and Hubbard K.G. Assessing bias in evapotranspiration and soil moisture estimates due to the use of modelled solar radiation and dew point temperature data. Agricultural and Forest Meteorology 30 (2005) 71-84
23. Moussu G., Diabaté L., Obrecht D., and Wald L. A method for the mapping of the apparent ground brightness using visible images from geostationary satellites. International Journal of Remote Sensing 10 (1989) 1207-1225
24. Noia M., Ratto C.F., and Festa R. Solar irradiance estimation from geostationary satellite data: IV. Statistical models. Solar Energy 51 (1993) 449-456
25. Pastre, C., 1981. Développement d'une méthode de détermination du rayonnement solaire global à partir des données Meteosat. La Météorologie, VIe série N 24, mars.
26. Perez R., Ineichen P., Moore K., Kmiecik M., Chain C., George R., and Vignola F. A new operational model for satellite-derived irradiances: description and validation. Solar Energy 73 (2002) 307-317
27. Perez R., Seals R., and Zelenka A. Comparing satellite remote sensing and ground network measurements for the production of site/time specific irradiance data. Solar Energy 60 (1997) 89-96
28. Raschke, E., Stuhlmann, R., Palz, W., Steemers, T.C., 1991. In: Balkema, A. (Ed.), Solar radiation atlas of Africa. Rotterdam, The Netherlands, p. 155.
29. Remund, J., Wald, L., Lefèvre, M., Ranchin, T., Page, J., 2003. Worldwinde Linke turbidity information. In: Proceedings of ISES Solar Workld Congress, 16-19 June, Göteborg, Sweden. Available from: http://www.helioclim.net/publications.
30. Reuter H.I., Kersebaum K.C., and Wendroth O. Modelling of solar radiation influenced by topographic shading-evaluation and application for precision farming. Physics and Chemistry of the Earth 30 (2005) 143-149
31. Rigollier C., Bauer O., and Wald L. On the clear sky model of the 4th European Solar Radiation Atlas with respect to the Heliosat method. Solar Energy 68 (2000) 33-48
32. Rigollier C., Lefèvre M., Blanc Ph., and Wald L. The operational calibration of images taken in the visible channel of the Meteosat-series of satellites. Journal of Atmospheric and Oceanic Technology 19 (2002) 1285-1293
33. Rigollier, C., Lefèvre, M., Wald, L., 2001. Heliosat version 2. Integration and exploitation of networked Solar Radiation Databases for environment monitoring (SoDa Project). Contract Number: ST-1999-12245, pp. 1-94. Available from: http://www.soda-is.com/doc/heliosat2_d3.pdf.
34. Rigollier C., Lefèvre M., and Wald L. The method Heliosat-2 for deriving shortwave solar radiation from satellite images. Solar Energy 77 (2004) 159-169
35. Rigollier, C., Wald, L., 1998. Using Meteosat images to map the solar radiation: improvements of the Heliosat method. In: Proceedings of the 9th Conference on Satellite Meteorology and Oceanography. Published by Eumetsat, Darmstadt, Germany, EUM P 22, pp. 432-433.
36. Şen Z. Solar energy in progress and future research trends. Progress in Energy and Combustion Science 30 (2004) 367-416
37. Speranza A., van Geel B., and van der Plicht J. Evidence for solar forcing of climate change at ca. 850 cal BC from a Czech peat sequence. Global and Planetary Change 35 (2003) 51-65
38. Stuhlmann R., Rieland M., and Raschke E. An improvement of the IGMK model to derive total and diffuse solar radiation at the surface from satellite data. Journal of Applied Meteorology 29 (1990) 596-603
39. TerrainBase, 1995. Worldwide Digital Terrain Data, Documentation Manual, CD-ROM Release 1.0, April 1995, NOAA, National Geophysical Data Center, Boulder, CO, USA.
40. Van Zyl J. The shuttle Radar Topography Mission (SRTM): a breakthrough in remote sensing of topography. Acta Astronautica 48 (2001) 559-565
41. Vera, N., 2005. Atlas climático de irradiación solar a partir de imágenes del satélite NOAA. Aplicación a la Península Ibérica. Tesis doctoral. Universidad Politécnica de Cataluña, Spain. 283p.
42. Walraven, R., 1978. Calculating the position of the sun. Solar Energy 20, 393. Revised by Archer, C.B., 1980. Solar Energy 25, 91.
43. Wilkinson B.J. The effect of atmospheric refraction on the solar azimuth. Solar Energy 30 (1983) 295
44. Zarzalejo, L.F., 2006. Irradiancia solar global horaria a partir de imágenes de satélite. Serie: Colección Documentos CIEMAT. Ed. CIEMAT, Madrid, Spain.
45. Zelenka, A., 2003. Progress in estimating insolation over snow covered mountains with Meteosat VIS-channel: a time series approach. In: Proceedings of the 3rd Workshop on Satellites for Solar Energy, University of Geneva, Switzerland, March 19--21, 2003.
46. Zelenka A., Perez R., Seals R., and Renné D. Effective accuracy of satellite-derived hourly irradiances. Theoretical and Applied Climatology 62 (1999) 199-207