Validation of a Meteosat Second Generation solar radiation dataset over the northeastern Iberian Peninsula

Hydrology and Earth System Sciences

Volumn 17, Issue 1, 2013, Pages 163-175

  Cristobal J ^a   Anderson, M C ^b  

^a UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC CONDITIONS; AVERAGED MODELS; CATALONIA; CLOUDY SKIES; DATA SETS; EVAPORATIVE FLUX; FLAT AREA; GROUND BASED; HILLY AREAS; IBERIAN PENINSULA; ICE COVER; INPUT DATAS; INTERMEDIATE RESULTS; LAND SURFACE ANALYSIS; LARGE DOMAIN; METEOSAT SECOND GENERATION SPINNING ENHANCED VISIBLE AND INFRARED IMAGER (SEVIRI) (MSG); METEOSAT SECOND GENERATIONS; PRODUCT PERFORMANCE; PYRANOMETERS; REGIONAL SCALE; RETRIEVAL MODELS; ROOT MEAN SQUARE ERRORS; SATELLITE APPLICATION FACILITIES; SOLAR RADIATION DATA; TEMPORAL RESOLUTION; TERRAIN CORRECTION; TIME STEP;

MEAN SQUARE ERROR; SUN; SURFACE ANALYSIS; WATER SUPPLY;

SOLAR RADIATION;

CLEAR SKY; ENERGY BALANCE; EVAPOTRANSPIRATION; METEOSAT; SEVIRI; SOLAR RADIATION; SPATIOTEMPORAL ANALYSIS;

IBERIAN PENINSULA;

EID: 84872726504     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-163-2013     Document Type: Article

References (53)

1. Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evap-otranspiration-Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper, Food and Agriculture Organization of the United Nations, Rome, 1998.
2. Allen, R. G., Tasumi, M., and Trezza, R.: Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Model, J. Irrig. Drain. E-Asce, 133, 380-394, doi:10.1061/(Asce)0733-9437(2007)133:4(380), 2007. (Pubitemid 47102986)
3. Anderson, M. C., Norman, J. M., Mecikalski, J. R., Torn, R. D., Kustas, W. P., and Basara, J. B.: A multiscale remote sensing model for disaggregating regional fluxes to micrometeorological scales, J. Hydrometeorol., 5, 343-363, 2004. (Pubitemid 38531538)
4. Anderson, M. C., Kustas, W. P., Alfieri, J. G., Gao, F., Hain, C., Prueger, J. H., Evett, S., Colaizzi, P., Howell, T., and Chávez, J. L.: Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign, Adv. Water Resour., 50, 162-177, doi:10.1016/j.advwatres.2012. 06.005, 2012.
5. Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation, J. Hydrol., 213, 198-212, 1998. (Pubitemid 29020066)
6. Bois, B., Pieri, P., Van Leeuwen, C., Wald, L., Huard, F., Gaudillere, J. P., and Saur, E.: Using remotely sensed solar radiation data for reference evapotranspriation estimation at a daily time step, Agr. Forest Meteorol., 148, 619-630, doi:10.1016/j.agrformet.2007.11.005, 2008.
7. Brisson, A., Le Borgne, P., and Marsouin, A.: Development of Algorithms for Surface Solar Irradiance retrieval at O&SI SAF low and Mid Latitude, available at: http://www.eumetsat.int/groups/pps/documents/document/002163.pdf, 1999.
8. Clerbaux, N., Bertrand, C., Caprion, D., Depaepe, B., Dewitte, S., Gonzalez, L., and Ipe, A.: Narrowband-to-Broadband Conversions for SEVIRI, Proceedings of the 2005 EUMETSAT Meteorological Satellite Conference, Dubrovnik, 351-357, 2005.
9. Cristóbal, J., Ninyerola, M., and Pons, X.: Modeling air temperature through a combination of remote sensing and GIS data, J. Geophys. Res., 113, D13106, doi:10.1029/2007jd009318, 2008.
10. Cristóbal, J., Poyatos, R., Ninyerola, M., Llorens, P., and Pons, X.: Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area, Hydrol Earth Syst Sc, 15, 1563-1575, doi:10.5194/hess-15-1563-2011, 2011.
11. Diak, G. R., Anderson, M. D., Bland, W. L., Norman, J. M., Mecikalski, J. M., and Aune, R. M.: Agricultural management decision aids driven by real-time satellite data, B. Am. Meteorol. Soc., 79, 1345-1355, 1998.
12. Diak, G. R., Mecikalski, J. R., Anderson, M. C., Norman, J. M., Kustas, W. P., Torn, R. D., and DeWolf, R. L.: Estimating Land Surface Energy Budgets From Space: Review and Current Efforts at the University of Wisconsin-Madison and USDA-ARS, B. Am. Meteorol. Soc., 85, 65-78, doi:10.1175/bams-85-1-65, 2004.
13. Dickinson, R. E.: Modeling evapotranspiration for three-dimensional global climate models, in: Climate Processes and Climate Sensitivity, edited by: Hansen, J. E. and Takehashi, T., American Geophysical Union, Washington, 58-72, 1984.
14. Dürr, B., Zelenka, A., Mueller, R., and Philipona, R.: Verification of CM-SAF and MeteoSwiss satellite based retrievals of surface shortwave irradiance over the Alpine region, Int. J. Remote Sens., 31, 4179-4198, doi:10.1080/01431160903199163, 2010.
15. Frouin, R., Lingner, D. W., Gautier, C., Baker, K. S., and Smith, R. C.: A Simple Analytical Formula to Compute Clear Sky Total and Photosynthetically Available Solar Irradiance at the Ocean Surface, J. Geophys. Res.-Oceans, 94, 9731-9742, 1989.
16. Garautza-Payan, J. and Watts, C. J.: The use of remote sensing for estimating ET of irrigated wheat and cotton in Northwest Mexico, Irrig. Drainag. Syst., 19, 301-320, 2005. (Pubitemid 43013244)
17. Garatuza-Payan, J., Pinker, R. T., Shuttleworth, W. J., and Watts, C. J.: Solar radiation and evapotranspiration in northern Mexico estimated from remotely sensed measurements of cloudiness, Hy-drolog. Sci. J., 46, 465-478, doi:10.1080/02626660109492839, 2001. (Pubitemid 32550651)
18. Gautier, C., Diak, G., and Masse, S.: A Simple Physical Model to Estimate Incident Solar-Radiation at the Surface from Goes Satellite Data, J. Appl. Meteorol., 19, 1005-1012, 1980. (Pubitemid 11444964)
19. Geiger, B., Meurey, C., Lajas, D., Franchistéguy, L., Carrer, D., and Roujean, J.-L.: Near real-time provision of downwelling shortwave radiation estimates derived from satellite observations, Me-teorol. Appl., 15, 411-420, doi:10.1002/met.84, 2008a.
20. Geiger, B., Carrer, D., Franchisteguy, L., Roujean, J. L., and Meurey, C.: Land Surface Albedo Derived on a Daily Basis From Meteosat Second Generation Observations, IEEE T. Geosci. Remote, 46, 3841-3856, doi:10.1109/Tgrs.2008. 2001798, 2008b.
21. Ineichen, P., Barroso, C. S., Geiger, B., Hollmann, R., Mar-souin, A., and Mueller, R.: Satellite Application Facilities irradiance products: hourly time step comparison and validation over Europe, Int. J. Remote Sens., 30, 5549-5571, doi:10.1080/01431160802680560, 2009.
22. Jackson, R. D., Reginato, R. G., and Idso, S. B.: Wheat canopy temperature a practical tool for evaluating water requirements, Water Resour. Res., 13, 651-656, 1977.
23. Jacobs, J. M., Myers, D. A., Anderson, M. C., and Diak, G. R.: GOES surface insolation to estimate wetlands evapotranspira-tion, J. Hydrol., 266, 53-65, doi:10.1016/s0022-1694(02)00117-8, 2002. (Pubitemid 34949521)
24. Jacobs, J. M., Anderson, M. C., Friess, L. C., and Diak, G. R.: Solar radiation, longwave radiation and emergent wetland evapotran-spiration estimates from satellite data in Florida, USA, Hydrolog. Sci. J., 49, 461-476, doi:10.1623/hysj.49.3.461.54352, 2004. (Pubitemid 38762413)
25. Janjai, S., Pankaew, P., Laksanaboonsong, J., and Kitichan-taropas, R.: Estimation of solar radiation over Cambodia from long-term satellite data, Renewable Energy, 36, 1214-1220, doi:10.1016/j.renene.2010.09.023, 2011.
26. Journee, M. and Bertrand, C.: Improving the spatio-temporal distribution of surface solar radiation data by merging ground and satellite measurements, Remote Sens. Environ., 114, 2692-2704, doi:10.1016/j.rse.2010.06.010, 2010.
27. Kalma, J. D., McVicar, T. R., and McCabe, M. F.: Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data, Surv. Geophys., 29, 421-469, doi:10.1007/s10712-008-9037-z, 2008.
28. Kustas, W. P. and Norman, J. M.: A two-source energy balance approach using directional radiometric temperature observations for sparse canopy covered surfaces, Agron. J., 92, 847-854, 2000.
29. Kustas, W. P., Pinker, R. T., Schmugge, T. J., and Humes, K. S.: Daytime net-radiation estimated for a semiarid rangelad basin from remotely-sensed data, Agr. Forest Meteorol., 71, 337-357, doi:10.1016/0168-1923(94)90019-1, 1994. (Pubitemid 2157800)
30. LSA SAF: The EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF), Product User Manual, Down-welling Shortwave Flux (DSSF), available at: https://landsaf. meteo.pt/algorithms.jsp?seltab=1\&starttab=1, 2010.
31. Manabe, S.: Climate and the ocean circulation. 1 the atmospheric circulation and the hydrology of the earth's surface, Mon. Weather Rev., 97, 739-774, 1969.
32. Manalo-Smith, N., Smith, G. L., Tiwari, S. N., and Staylor, W. F.: Analytic forms of bi-directional reflectance functions for application to Earth radiation budget studies, J. Geophys. Res., 103, 19733-719751, 1998.
33. Mart́?nez-Durbán, M., Zarzalejo, L. F., Bosch, J. L., Rosiek, S., Polo, J., and Batlles, F. J.: Estimation of global daily irradiation in complex topography zones using digital elevation models and meteosat images: Comparison of the results, Energ. Convers. Manage., 50, 2233-2238, doi:10.1016/j.enconman.2009.05.009, 2009.
34. Monteith, J. L.: Evaporation and environment, in: Proceedings of the 19th Soc. Exp. Biol. Symp., 205-234, New York, 1965.
35. Ninyerola, M., Pons, X., and Roure, J. M.: A methodological approach of climatological modelling of air temperature and precipitation through GIS techniques, Int. J. Climatol., 20, 1823-1841, 2000. (Pubitemid 32065373)
36. Oliphant, A. J., Spronken-Smith, R. A., Sturman, A. P., and Owens, I. F.: Spatial variability of surface radiation fluxes in mountainous terrain, J. Appl. Meteorol., 42, 113-128, 2003. (Pubitemid 37207708)
37. Olseth, J. A. and Skartveit, A.: Solar irradiance, sunshine duration and daylight illuminance derived from METEOSAT data for some European sites, Theor. Appl. Climatol., 69, 239-252, doi:10.1007/s007040170029, 2001. (Pubitemid 32939735)
38. Orús, J. J., Català, M. A., and Núñez, J.: Astonoḿa esférica y mecánica celeste, Publicacions y Edicions de la Universitat de Barcelona, Barcelona, 2007.
39. Otkin, J. A., Anderson, M. C., Mecikalski, J. R., and Diak, G. R.: Validation of GOES-based insolation estimates using data from the US Climate Reference Network, J. Hydrometeorol., 6, 460-475, doi:10.1175/jhm440.1, 2005. (Pubitemid 41419773)
40. Paech, S. J., Mecikalski, J. R., Sumner, D. M., Pathak, C. S., Wu, Q. L., Islam, S., and Sangoyomi, T.: A Calibrated, High-Resolution GOES Satellite Solar Insolation Product for a Climatology of Florida Evapotranspiration1, J. Am. Water Resour. As., 45, 1328-1342, doi:10.1111/j.1752-1688.2009.00366.x, 2009.
41. Pereira, E. B., Abreu, S. L., Stuhlmann, R., Rieland, M., and Colle, S.: Survey of the incident solar radiation in Brazil by use of Meteosat satellite data, Sol. Energy, 57, 125-132, doi:10.1016/s0038-092x(96)00059-x, 1996. (Pubitemid 27100854)
42. Pinker, R. T. and Laszlo, I.: Effects of Spatial Sampling of Satellite Data on Derived Surface Solar Irradiance, J. Atmos. Ocean Tech., 8, 96-107, 1991.
43. Pinker, R. T., Tarpley, J. D., Laszlo, I., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., Robock, A., Lohmann, D., Cosgrove, B. A., Sheffield, J., Duan, Q. Y., Luo, L. F., and Higgins, R. W.: Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) Project, J. Geophys. Res.-Atmos., 108, 8844, doi:10.1029/2002jd003301, 2003.
44. Pinker, R. T., Zhang, B., and Dutton, E. G.: Do satellites detect trends in surface solar radiation?, Science, 308, 850-854, doi:10.1126/science.1103159, 2005. (Pubitemid 40629264)
45. Pons, X. and Ninyerola, M.: Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data, Int. J. Climatol., 28, 1821-1834, doi:10.1002/Joc.1676, 2008.
46. Pons, X., Cristóbal, J., González, O., Riverola, A., Serra, P., Cea, C., Domingo, C., D́az, P., Monterde, M., and Velasco, E.: Ten Years of Local Water Resource Management: Integrating Satellite Remote Sensing and Geographical Information Systems, Eur. J. Remote Sens., 45, 317-332, doi:10.5721/EuJRS20124528, 2012.
47. Priestley, C. H. B. and Taylor, R. J.: On the assessment of surface heat flux and evaporation using large-scale parameters, Mon. Weather Rev., 100, 81-92, 1972.
48. Rigollier, C., Lefèvre, M., and Wald, L.: The method Heliosat-2 for deriving shortwave solar radiation from satellite images, Sol. Energy, 77, 159-169, doi:10.1016/j.solener.2004.04.017, 2004. (Pubitemid 38921102)
49. Roerink, G. J., Su, Z., and Menenti, M.: S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance, Phys. Chem. Earth Pt. B, 25, 147-157, 2000. (Pubitemid 30186352)
50. Seguin, B. I. and Itier, B.: Using midday surface temperature to estimate daily evapotranspiration from satellite IR data, Int. J. Remote Sens., 4, 371-383, 1983. (Pubitemid 13523611)
51. Stewart, J. B., Watts, C. J., Rodriguez, J. C., De Bruin, H. A. R., van den Berg, A. R., and Garatuza-Payan, J.: Use of satellite data to estimate radiation and evaporation for northwest Mexico, Agr. Water Manage., 38, 181-193, doi:10.1016/s0378-3774(98)00068-7, 1999. (Pubitemid 29025720)
52. Su, H. B., McCabe, M. F., Wood, E. F., Su, Z., and Prueger, J. H.: Modeling evapotranspiration during SMACEX: Comparing two approaches for local-and regional-scale prediction, J. Hydrome-teorol., 6, 910-922, 2005. (Pubitemid 43159854)
53. Zelenka, A., Perez, R., Seals, R., and Renne, D.: Effective accuracy of satellite-derived hourly irradiances, Theor. Appl. Clima-tol., 62, 199-207, doi:10.1007/s007040050084, 1999. (Pubitemid 29375655)