紫外指数半经验方程的实现

Adriana Vasi, N. Stefu
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引用次数: 0

摘要

目前,由于臭氧柱、气溶胶、云、地表反射率的正、负变化,地面紫外线辐射经历了许多变化,这取决于纬度。这项工作报告了Madronich在2007年提出的估计紫外线指数的半经验方程的更新,通过更新它的系数,因为它们概括了大气的状态。使用布加勒斯特2019-2021年的数据来拟合方程。研究发现,新方程将布加勒斯特2021年UVI的估计精度提高了5倍(从nRMSE= 17.3%提高到nRMSE=3.3%)。在不同的地点对所得方程的有效性进行了评估,结果显示,无论纬度如何,大多数地点(14个选定地点中的12个)的估计精度都有很大提高。对于柯本气候类型a和B的地点,方程产生负偏倚,对于气候类型D的调查地点产生正偏倚,对于温带气候(C类型)没有明确的偏倚。需要更多的研究来得出明确的结论,进一步提高方程的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Actualization of Semi-Empirical Equation for UV Index
Abstract UV radiation at ground level undergoes many variations in the present, due to the ozone column, aerosols, clouds, surface reflectivity, both positive and negative variations, depending on latitude. This work reports on the updating of the semi-empirical equation proposed by Madronich in 2007 for estimating the UV index, by updating its coefficients, as they encapsulate the state of the atmosphere. Data for Bucharest in 2019-2021 was used for fitting the equation. It was found that the new equation improves the accuracy of the estimation of the UVI in Bucharest five times for 2021 (from nRMSE = 17.3% to nRMSE=3.3%). The validity of the obtained equation was assessed in various locations, showing a great improvement of the estimation accuracy in most of them (in 12 of the 14 chosen locations), regardless of latitude. The equation produces a negative bias for locations having Koppen climate types A and B, a positive bias for the investigated locations situated in climate type D and no definite bias for temperate climates (type C). More studies are needed for drawing a definite conclusion and further improving the applicability of the equation.
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