Validation of UV-Index retrieved from three satellites against Ground-Based measurements at different climates in Egypt

Marwa S. Mohamed1, M.M. Abdel Wahab2, Mossad El‐Metwally3, Eman F. El-Nobi4
1Egyptian Meteorological Agency, Cairo, Egypt
2Astronomy, Space Science and Meteorology Department, Faculty of Science, Cairo University, Giza, Egypt
3Department of Physics, Faculty of Science, Port Said University, Port Said, Egypt
4Atmospheric Physics Lab., Physics Dept., Faculty of Science, South Valley University, Qena, Egypt

Tài liệu tham khảo

Cadet, 2017, Comparison of ground-based and satellite-derived solar UV Index levels at six South African sites, Int. J. Environ. Res. Public Health, 14, 1384, 10.3390/ijerph14111384 Chande, 1992, Adapting moving averages to market volatility, Stock Commodities, 10 Eck, 1999, Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols, J. Geophys. Res. Atmos., 104, 31333, 10.1029/1999JD900923 Ganguly, 2012, Generating global leaf area index from Landsat: algorithm formulation and demonstration, Remote Sens. Environ., 122, 185, 10.1016/j.rse.2011.10.032 Hassan, 2015, Comparison of UV index from EP/TOMS with ground-based measurements at subtropical location, World Environ., 5, 17 Holben, 1998, AERONET—A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1, 10.1016/S0034-4257(98)00031-5 Ialongo, 2008, Comparison of total ozone and erythemal UV data from OMI with ground-based measurements at Rome station, Atmos. Chem. Phys., 8, 3283, 10.5194/acp-8-3283-2008 Kazadzis, 2009, Ozone Monitoring Instrument spectral UV irradiance products: comparison with ground based measurements at an urban environment, Atmos. Chem. Phys., 9, 585, 10.5194/acp-9-585-2009 Lakkala, 2008, Quality assurance of the Brewer spectral UV measurements in Finland, Atmos. Chem. Phys., 8, 3369, 10.5194/acp-8-3369-2008 Laraby, 2018, Uncertainty estimation method and Landsat 7 global validation for the Landsat surface temperature product, Remote Sens. Environ., 216, 472, 10.1016/j.rse.2018.06.026 Masmoudi, 2015, A comparison of the physical properties of desert dust retrieved from the sunphotometer observation of major events in the Sahara, Sahel, and Arabian Peninsula, Atmos. Res., 158, 24, 10.1016/j.atmosres.2015.02.005 Mayer, 1993, Statistical validation, Ecol. Model., 68, 21, 10.1016/0304-3800(93)90105-2 Omran, 2000, Analysis of solar radiation over Egypt, Theor. Appl. Climatol., 67, 225, 10.1007/s007040070011 Pitkänen, 2015, Comparing OMI UV index to ground-based measurements at two Finnish sites with focus on cloud-free and overcast conditions, Atmos. Meas. Tech. Discuss., 8, 487 Tanskanen, 2006, Surface ultraviolet irradiance from OMI, IEEE Trans. Geosci. Remote Sens., 44, 1267, 10.1109/TGRS.2005.862203 Taylor, 2001, Summarizing multiple aspects of model performance in a single diagram, J. Geophys. Res. Atmos., 106, 7183, 10.1029/2000JD900719 WHO 2002. UV index A Practical Guide World Health Organization. Willmott, 1982, Some comments on the evaluation of model performance, Bull. Am. Meteorol. Soc., 63, 1309, 10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2 YANKEE. 2008. UVB-1 Ultraviolet Pyranometer installation and user guide , Version 2.04 [Online]. Yankee Environmental System, INC. Available: https://bsrn.aemet.es/publicaciones/uvb/manual_yankee_uvb.pdf.