Mapping solar ultraviolet radiation from satellite data in a tropical environment

Janjai, Serm; Buntung, Sumaman; Wattan, R.; Masiri, Itsara

doi:10.1016/j.rse.2009.11.008

Cited by 16 publications

(10 citation statements)

References 57 publications

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“…This data is also required for photochemical studies of atmospheric and human health protection against UV effects. To obtain UV data in various areas, UV monitoring networks need to be established in many countries [11]. Fig.…”

Section: Resultsmentioning

confidence: 99%

Analysis of Java Island’s ozone layer and ultra violet index variability based on satellite data

Komala

2019

E3S Web Conf.

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The ozone layer has a very important role in our atmosphere because it can protect every living on the surface of the earth against harmful Ultra Violet-B radiation. This study aims to discuss and analyze the linkages of ozone layer and Ultra Violet index (UVI) in Java Island and using of FFT to find the period that dominates the ozone layer and UVI variation. The results obtained are characteristic of ozone layer and UVI as well as linkage of UVI to ozone layer in Java Island. Using data of the Ozone Monitoring Instrument (OMI) sensor on AURA satellites from 2005—2016 has been obtained monthly, seasonal and annual characteristics for ozone and UVI and the period dominating the variation of the ozone layer and UVI. The ozone layer varied between 238 DU to 277 DU, the annual variation pattern peaked in October and the minimum in January. The UVI varies between 7.8 and 13.6. The annual variation of UVI peaked in October and the minimum in June. Linear regression of the UVI with ozone in December, January and February (DJF) showed a negative correlation coefficient of 0.77 which means there is a strong correlation between decreasing of ozone concentration with increasing of UVI. Variability of Java Island’s ozone layer is dominated by six month, 12-months and 28-months cycles. While UVI most dominated by the cycle of 6 months and 12 months.

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Section: Resultsmentioning

confidence: 99%

Analysis of Java Island’s ozone layer and ultra violet index variability based on satellite data

Komala

2019

E3S Web Conf.

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“…It will be compared to ship-based measurements of erythemal radiation taken along four routes of merchant ships, 2 years of erythemal radiation measurements taken on the research vessel (R/V) Meteor (2009Meteor ( -2010, and satellite-based (1 × 1)°grid data of daily erythemal exposure from the Ozone Monitoring Instrument (OMI) on the Earth Observing System (EOS) Aura satellite [Tanskanen et al, 2007]. While a number of validation studies of solar erythemal irradiance from different satellite data sets have been performed using ground-based observations at terrestrial sites [e.g., Kalliskota et al, 2000;Wang et al, 2000;McKenzie et al, 2001;Chubarova et al, 2002;Fioletov et al, 2004;Piacentini et al, 2004;Arola et al, 2005;Meloni et al, 2005;Tanskanen et al, 2007;Buchard et al, 2008;Ialongo et al, 2008;Weihs et al, 2008;Kazadzis et al, 2009;Lindfors et al, 2009;Janjai et al, 2010;Mateos et al, 2013;Sharma et al, 2013], the present analysis deals for the first time with comparisons of PEREX model data, satellite-based data, and ship-based measurements along shipping routes on the world oceans. Comparisons between the database of PEREX erythemal exposure were performed along four shipping routes of merchant vessels and along the R/V Meteor track comprising about 130,000 km (about 70,000 nautical miles) from 2009 to 2010.…”

Section: à2mentioning

confidence: 99%

Validation of modeled daily erythemal exposure along tropical and subtropical shipping routes by ship‐based and satellite‐based measurements

et al. 2015

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The Personal ERythemal EXposure (PEREX) model for seafarers working on decks of vessels has been developed to be used for retrospective estimates of personal occupational erythemal exposure in dependence of work profile, time period, and sea route. Extremely high UV index values up to 22 and daily erythemal exposure up to 89 standard erythemal dose have been derived from ship-based measurements in tropical oceans. Worldwide climatological maps of daily solar erythemal exposure derived from 10 year (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) hourly grid point radiative transfer model calculations for both cloudless sky and cloudy sky serve as the database of PEREX. The PEREX database is compared with ship-based measurements taken along four routes of merchant vessels, continuous UV radiation measurements taken on the research vessel Meteor on its mainly tropical and subtropical routes for 2 years, daily cloudless-sky erythemal exposure derived from 10 min LibRadtran radiative transfer model calculations, and 2 years of satellite-based erythemal exposure data of the Ozone Monitoring Instrument on the Aura satellite along the ship routes. Systematic differences between PEREX model data, ship-based data, and satellite-based daily erythemal exposure for all-sky conditions are only 1 to 3%, while short-term variations of cloudiness result in standard deviations of differences around 30%. Measured ratios between cloudless-sky erythemal radiation at vertical to horizontal incidence decrease with decreasing solar zenith angle, while clouds flatten their diurnal course.

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“…Solar zenith angle is one of them [1,9,10]: the greater the angle, the longer the path through the atmosphere, and the stronger the corresponding extinction. This effect partly explains the observed overall latitudinal gradient of UV radiation [1,[11][12][13][14][15]. Clouds are the other modulator [1,9,[15][16][17][18]: the denser the cloud cover, the greater the extinction.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance

et al. 2016

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International audienceDaily estimates of the solar UV-A radiation (315–400 nm) at the surface, anywhere, anytime, are needed in many epidemiology studies. Satellite-derived databases of solar total irradiance, combined with empirical relationships converting totals into daily means of UV-A irradiance I UV , are a means to satisfy such needs. Four empirical relationships are applied to three different databases: HelioClim-3 (versions 4 and 5) and CAMS Radiation Service—formerly known as MACC-RAD—derived from Meteosat images. The results of these combinations are compared to ground-based measurements located in mid-latitude Europe, mostly in Belgium. Whatever the database, the relationships of Podstawczynska (2010) and of Bilbao et al. (2011) exhibit very large underestimation and RMSE on the order of 40%–50% of the mean I UV. Better and more acceptable results are attained with the relationships proposed by Zavodska and Reichrt (1985) and that of Wald (2012). The relative RMSE is still large and in the range 10%–30% of the mean I UV. The correlation coefficients are large for all relationships. Each of them captures most of the variability contained in the UV measurements and can be used in studies where correlation plays a major role

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Mapping solar ultraviolet radiation from satellite data in a tropical environment

Cited by 16 publications

References 57 publications

Analysis of Java Island’s ozone layer and ultra violet index variability based on satellite data

Analysis of Java Island’s ozone layer and ultra violet index variability based on satellite data

Validation of modeled daily erythemal exposure along tropical and subtropical shipping routes by ship‐based and satellite‐based measurements

Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance

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