Erythemal dose in Kathmandu, Nepal based on solar UV measurements from multichannel filter radiometer, its deviation from satellite and radiative transfer simulations

Bhattarai, Binod; Kjeldstad, Berit; Thorseth, Trond Morten; Bagheri, Asadollah

doi:10.1016/j.atmosres.2006.11.006

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…Owing to its high photon energy, UV radiation has detrimental effect on human health and ecosystems (Tevini, ). In this connection, a great deal of efforts has been made to monitor UV radiation both from ground‐ and satellite‐based approaches in the past few decades (Bhattarai et al ., ; WMO, ; Janjai et al ., and references therein). For the satellite approach, a number of UV measuring instruments onboard various satellites have been deployed to monitor UV (Arola et al ., ; Tanskanen et al ., ), including the Ozone Monitoring Instrument (OMI) onboard Aura satellite.…”

Section: Introductionmentioning

confidence: 99%

Comparison of UV index from Ozone Monitoring Instrument (OMI) with multi‐channel filter radiometers at four sites in the tropics: effects of aerosols and clouds

Janjai

Wisitsirikun

Buntoung

et al. 2013

Intl Journal of Climatology

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ABSTRACT:The solar ultraviolet (UV) index from Ozone Monitoring Instrument (OMI) onboard NASA EOS/Aura satellite is compared with that derived from ground-based multi-channel filter radiometers at four sites in the tropical environment of Thailand. The sites include Chiang Mai (18.78 • N, 98.98Nakhon Pathom (13.82• N, 100.04• E) and Songkhla (7.2 • N, 100.6• E). At these sites, aerosol optical depth is monitored using sunphotometers and cloud images are taken by sky cameras. The comparison results clearly show the overestimation of OMI UV index because of influences by aerosols and clouds. The differences between the two datasets lie between 38.1 and 60.7% for all sky conditions, and reduce to 22.5-50.3% for clear sky conditions.

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Section: Introductionmentioning

confidence: 99%

Comparison of UV index from Ozone Monitoring Instrument (OMI) with multi‐channel filter radiometers at four sites in the tropics: effects of aerosols and clouds

Janjai

Wisitsirikun

Buntoung

et al. 2013

Intl Journal of Climatology

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“…In the Himalayan region, researchers both from Nepal and Tibet are doing measurements on global solar irradiance, solar UV irradiance and their impact factors through ground and Satellite observations. Scientists from Nepal have published their findings on many journals [4][5][6], the findings are mainly focused on surface global solar irradiance, solar UV irradiance and their impact factors [7][8][9][10][11]. The same studies have also been curried out over the Tibetan Plateau since 1996, the relevant research results were published internationally [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Measurements on Solar Energy Resources in the Mt. Everest Region

Gelsor¹,

Liu²,

Wangmo³

et al. 2021

AJPA

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Research on solar radiation in the Mt. Everest region provides great interests for the strategies of solar energy utilization, climate change and environmental sustainability etc. We present measurement results of global horizontal irradiance, solar spectral irradiance and solar UV irradiance performed with the Dutch CMP11 Pyranometers, the German RAMSES Hyperspectral Irradiance Sensors and the Norwegian NILU-UV Irradiance Meters respectively in the Mt. Everest region during 2008 to 2017. The results show that the solar energy resources are extremely rich in that area, the daily maximum of global horizontal irradiance levels are even frequently exceed the solar constant value of 1368W/m 2 during monsoon season, from May to August in that region. The highest daily maximum value reached 1500 W/m 2 occurred on July 13, 2017. The annual average of the daily global horizontal irradiance is about 18.4 MJ/m 2 /d, the daily global horizontal irradiance varies from 13.8 to 23.9 MJ/m 2 /d, indicates that there are abundant solar energy in that alpine zone. The instruments record that even during the winter time (October to January) more than 15 days of each month are absolute clear days, it shows 28 clear days in November of 2016. It points out that more solar energy can be existed during the winter time due to dry season. The solar spectral irradiance was performed for the first time in this special environment presenting the characteristics of solar spectrum over the region. It reveals not only how abundant the spectral irradiance is, but also rich information about the atmospheric composition over the sky. It is well known that the solar UV radiation strongly impacts on the ecological environment and human health. The measurement results of solar UV dose rates as well as their impact factors (ozone and cloud) during the period of 2008 to 2017 are also presented. Satellite data are also used to see how the solar irradiance is distributed over the Himalayan region in summer, including Mt. Everest.

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“…Great effort has been undertaken by national or international organizations for promoting the installation of UV monitoring networks with aim to obtain accurate data on surface UV radiation in different parts of the world, such as North America, China, Europe and Australia (Liu 2000;Gröbner et al 2006;Bhattarai et al 2007;Hu et al 2007;Cui et al 2008;Rieder et al 2008). However, existing UV observation stations are far too low to provide sufficient UV data because of the high cost and great difficulty in maintaining the sensors that register this spectral band (Barbero et al 2006;Janjai et al 2010;Mateos Villán et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Ultraviolet Radiation over Two Lakes in the Middle and Lower Reaches of the Yangtze River, China: An Innovative Model for UV Estimation

Huang¹,

Jiang²,

Ju³

et al. 2011

Terr. Atmos. Ocean. Sci.

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This study aims to explore the characteristics of ultraviolet (UV) radiation over Dong Lake (DL) and Tai Lake (TL) in the middle and lower reaches of the Yangtze River and to develop an innovative model for UV estimation under all weather conditions. The characteristic analysis of UV radiation shows distinctly hourly and monthly variations at two typical sites. The maximum values can represent the hourly UV feature, and the median and the arithmetic mean values are reasonably similar with little difference for both stations. The monthly means of hourly UV radiation range from 25.68 to 70.07 kJ m -2 for DL and between 36.00 and 92.62 kJ m -2 for TL. The monthly mean hourly UV fractions vary from 3.79% to 4.93% at DL and between 4.57% and 5.94% at TL. Comparisons on the monthly mean hourly values of UV radiation and UV fraction, the values at TL are always greater than those at DL. An innovative model is constructed based on two input parameters, namely the effect of the comprehensive attenuation factors for assumed cloud-free conditions (CAF UVclear ) and the effect of the clouds (K g ). CAF UVclear is derived from empirical models based on relative optical air mass and ozone. The effectiveness of the presented model is demonstrated by comparing with other two estimation models. This innovative model presents values of RMSE better than two reported models either at local place or a different locality. It indicates that this new model can provide satisfactory estimates of UV radiation at different localities other than the local place of origin where the relationships are developed.

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Erythemal dose in Kathmandu, Nepal based on solar UV measurements from multichannel filter radiometer, its deviation from satellite and radiative transfer simulations

Cited by 10 publications

References 28 publications

Comparison of UV index from Ozone Monitoring Instrument (OMI) with multi‐channel filter radiometers at four sites in the tropics: effects of aerosols and clouds

Comparison of UV index from Ozone Monitoring Instrument (OMI) with multi‐channel filter radiometers at four sites in the tropics: effects of aerosols and clouds

Measurements on Solar Energy Resources in the Mt. Everest Region

Ultraviolet Radiation over Two Lakes in the Middle and Lower Reaches of the Yangtze River, China: An Innovative Model for UV Estimation

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