NEOPLANTA: A Short Description of the First Serbian UV Index Model

Abstract

A numerical model called "NEOPLANTA" for estimating solar UV irradiance and UV index under cloud-free conditions is being developed and tested at the University of Novi Sad in Serbia. In this paper, the model features, calculation procedure, and input parameters are described. Effects of the absorption of UV radiation by O 3 , SO 2 , and NO 2 and absorption and scattering by aerosol as well as the air molecules in the atmosphere are included. The performance of the model has been tested with respect to its capability of UV index, which is a weighted integral between 280 and 400 nm of the solar irradiance reaching the ground. For this test 10-day data measured during the spring and summer in 2003, 2004, and 2005 are used. Data are recorded by the Yankee UVB-1 biometer located at the Novi Sad university campus (45. 33°N, 19.85°E; 84 m MSL). Error analyses indicate that the modeled values agree well with the observations.

Long‐term erythemal ultraviolet radiation in Novi Sad (Serbia) reconstructed by neural network modelling

“…To compare better our findings with other studies we also calculated the trend in UV ery at Novi Sad for the same periods that presented other studies. Using different reconstruction models den Outer et al (2010) obtained annual trends of UV ery ranging from 2.8 to 5.8% per decade in the period1980-2006. For the same period, we found similar trend at Novi Sad of 4.8% per decade Lindfors et al (2007).…”

“…In the Vojvodina region (Serbia), the UV radiation measurements have been carried out since 2003 only in Novi Sad. Since measured UV series are relatively short and with frequent gaps, in order to fill the gaps and reconstruct the values in the period when there were no measurements the NEOPLANTA UV radiation parametric model and the reconstruction technique were developed at the University of Novi Sad (Malinovic et al, 2006;Malinovic-Milicevic and Mihailovic, 2011;Malinovic-Milicevic et al, 2015). Recently, many artificial intelligence approaches are widely used to estimate global and the UV radiation (Alados et al, 2007;Feister et al, 2008;Jacovides et al, 2015;and others).…”

Reconstruction of the erythemal UV radiation data in Novi Sad (Serbia) using the NEOPLANTA parametric model

“…Accuracy of the NEOPLANTA model was tested by comparison of the calculated and measured UVI. A simple inspection of the data indicates that absolute difference between the model outputs and measurements (cloudiness≤0.2) was in the interval of ±0.5 UVI for 95 % of the data (Malinovic et al 2006). Under all amounts of cloudiness, we found a strong Pearson correlation of 0.85 between the measured data and the NEOPLANTA outputs (Malinovic-Milicevic and Mihailovic 2011).…”

“…In order to quantify the relationship between ERYand S, we performed a linear regression analysis between the relative daily erythemal UV dose (ERY/ERY 0 ) and relative daily sunshine duration (S/S 0 ). The UV reconstruction model used in this study is described in details in Malinovic et al (2006), MalinovicMilicevic and Mihailovic (2011) and Malinovic-Milicevic et al (2013) The NEOPLANTA parametric model computes the solar direct and diffuse UV irradiances on a horizontal surface under cloud free conditions for the wavelength range 280-400 nm with 1-nm resolution as well as the UVI. The effects of O 3 , SO 2 and NO 2 , aerosols and nine different ground surface types on the UV radiation are included.…”

Novel measures based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis

“…We have combined three sources because of the lack of measurement places for the UV radiation in this region. We have included: (i) measured values obtained by the broadband Yankee UVB-1 biometer, (ii) values computed by a parametric numerical model [35,36] and (iii) values computed by empirical formula based on linear correlation between the daily dose of the UV-B and the daily sum of the global solar radiation in MJ m -2 . The time series were updated for the time interval 1990-2007 having the length of N = 6574 [35].…”