Analysis of ultraviolet radiation index from the Aura satellite referred to two ground-based instruments located in the Mejia canton, Ecuador
DOI:
https://doi.org/10.55204/trc.v3i2.e284Keywords:
Spectrophotometer, Brewer, Radiometer, UVI, Data imputationAbstract
Introduction: Globally, interest in ultraviolet radiation index (UVI) values and the cost of ground instruments drive consideration for satellite data. Validation with ground measurements is crucial, leading to comparative studies between both technologies.
Objective: Determine the margin of error and association between Aura satellite-derived ultraviolet radiation index data for a location in Mejía Canton, Ecuador, during 2014 and 2015, in reference to two ground instruments.
Method: The approach is non-experimental, using independent variables (UVI data) solely for statistical comparison. In the case of the spectrophotometer, they were also employed to validate its imputed data using two different techniques.
Results: Ozone Monitoring Instrument (OMI) data from the Aura satellite exhibited overestimation compared to the radiometer and spectrophotometer, with mean absolute errors of 6.016 and 6.612, respectively. Spearman correlation coefficients ranged from 0.006 to 0.119.
Conclusions: During this period, no significant correlation was found between OMI data and ground instruments. Linear interpolation was identified as the most accurate technique for completing missing data in the spectrophotometer.
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Alwan, A., Hameed, A., & Hamad, N. (2021). Analyzing of UV Index with the Time Variation for Baghdad. Iraqi Journal of Industrial Research, 8(1), 50–54. https://doi.org/10.53523/ijoirVol8I1ID32
Chapon, A., Ouarda, T. B. M. J., & Hamdi, Y. (2023). Imputation of missing values in environmental time series by D-vine copulas. Weather and Climate Extremes, 41, 100591. https://doi.org/https://doi.org/10.1016/j.wace.2023.100591
Herman, J., Cede, A., Huang, L., Ziemke, J., Torres, O., Krotkov, N., Kowalewski, M., & Blank, K. (2020). Global distribution and 14-year changes in erythemal irradiance, UV atmospheric transmission, and total column ozone for2005-2018 estimated from OMI and EPIC observations. Atmospheric Chemistry and Physics, 20(14), 8351–8380. https://doi.org/10.5194/acp-20-8351-2020
Karki, B., Dhobi, S. H., & Nakarmi, J. J. (2021). Study of UV Index above Dang, Pokhara and Kathmandu Valley from 2009 to 2020. J. Mater. Environ. Sci, 12(5), 715–727. http://www.jmaterenvironsci.com/Document/vol12/vol12_N5/JMES-2021-12058-Karki.pdf
Kipp&Zonen. (2013). Elegir el radiómetro UV perfecto - Kipp & Zonen. https://www.kippzonen.es/News/483/Elegir-el-radiometro-UV-perfecto#.ZECZonbMK3A
Kosmopoulos, P. G., Kazadzis, S., Schmalwieser, A. W., Raptis, P. I., Papachristopoulou, K., Fountoulakis, I., Masoom, A., Bais, A. F., Bilbao, J., Blumthaler, M., Kreuter, A., Siani, A. M., Eleftheratos, K., Topaloglou, C., Gröbner, J., Johnsen, B., Svendby, T. M., Vilaplana, J. M., Doppler, L., … Kontoes, C. (2021). Real-time UV index retrieval in Europe using Earth observation-based techniques: system description and quality assessment. Atmospheric Measurement Techniques, 14(8), 5657–5699. https://doi.org/10.5194/amt-14-5657-2021
Kutal, G., Kolhe, A., Varpe, S., Mahajan, C., Singh, P., & Aher, G. (2022). UV Erythemal Radiation and Its Sensitivity to Changes in Total Column Ozone and Aerosols. Aerosol Science and Engineering, 6(2), 176–185. https://doi.org/10.1007/s41810-022-00132-x
Lamy, K., Portafaix, T., Brogniez, C., Lakkala, K., Pitkänen, M. R. A., Arola, A., Forestier, J.-B., Amelie, V., Toihir, M. A., & Rakotoniaina, S. (2021). UV-Indien network: Ground-based measurements dedicated to the monitoring of UV radiation over the western Indian Ocean. Earth System Science Data, 13(9), 4275–4301. https://doi.org/10.5194/essd-13-4275-2021
Lee, H., Kim, J., Jeong, U., Lee, W. ~J., Yoon, J., & Lee, D. (2020). Preliminary results of UV index and other biological indices in Asia for the Geostationary Environmental Monitoring Spectrometer (GEMS). AGU Fall Meeting Abstracts, 2020, A003-0007.
Moritz, S., Sardá, A., Bartz-Beielstein, T., Zaefferer, M., & Stork, J. (2015). Comparison of different Methods for Univariate Time Series Imputation in R.
Muyimbwa, D., Dahlback, A., Ssenyonga, T., Chen, Y.-C., Stamnes, J. J., Frette, Ø., & Hamre, B. (2015). Validation of ozone monitoring instrument ultraviolet index against ground-based UV index in Kampala, Uganda. Appl. Opt., 54(28), 8537–8545. https://doi.org/10.1364/AO.54.008537
Nolasco, M., Sayago, S., & Bocco, M. (2018). Un modelo lineal para estimar radiación solar global en la provincia de Córdoba a partir de datos satelitales CERES_SYN1. X Congreso de AgroInformática (CAI)-JAIIO 47 (CABA, 2018).
Parisi, A. V, Igoe, D., Downs, N. J., Turner, J., Amar, A., & A Jebar, M. A. (2021). Satellite Monitoring of Environmental Solar Ultraviolet A (UVA) Exposure and Irradiance: A Review of OMI and GOME-2. Remote Sensing, 13(4). https://doi.org/10.3390/rs13040752
Parra, R., Cadena, E., & Flores, C. (2019). Maximum UV Index Records (2010–2014) in Quito (Ecuador) and Its Trend Inferred from Remote Sensing Data (1979–2018). Atmosphere, 10(12). https://doi.org/10.3390/atmos10120787
Taipe, C. W., Mendoza, E. G., & Flores, H. H. (2021). Validation of ultraviolet index data from the Ozone Monitoring Instrument (OMI) based on measurements from meteorological stations in the city of Puno. Journal of Physics: Conference Series, 1841(1), 12005. https://doi.org/10.1088/1742-6596/1841/1/012005
Turicchi, J., O’Driscoll, R., Finlayson, G., Duarte, C., Palmeira, A. L., Larsen, S. C., Heitmann, B. L., & Stubbs, R. J. (2020). Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study. JMIR Mhealth Uhealth, 8(9), e17977. https://doi.org/10.2196/17977
Zeileis, A., & Grothendieck, G. (2005). zoo: S3 Infrastructure for Regular and Irregular Time Series. Journal of Statistical Software, 14(6), 1–27. https://doi.org/10.18637/jss.v014.i06
Zeileis, A., Grothendieck, G., Ryan, J. A., Ulrich, J. M., & Andrews, F. (2022). Package ‘zoo’ (pp. 1–75). https://cran.r-project.org/web/packages/zoo/zoo.pdf
Zempila, M. M., Fountoulakis, I., Taylor, M., Kazadzis, S., Arola, A., Koukouli, M. E., Bais, A., Meleti, C., & Balis, D. (2018). Validation of OMI erythemal doses with multi-sensor ground-based measurements in Thessaloniki, Greece. Atmospheric Environment, 183, 106–121. https://doi.org/10.1016/j.atmosenv.2018.04.012
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