Monte Carlo-based uncertainties of surface UV estimates from models and from spectroradiometers

摘要: Although some of the adverse effects ultraviolet (UV) radiation may be strictly proportional to cumulative UV doses, others relate frequency extreme events. Therefore, an improved understanding global climate, including variability and trends, has become great interest. Variability trend analyses require quality-ensured surface series. The quality data depends on their uncertainty. Building upon our prior efforts, we have used a Monte Carlo-based method compute, under different conditions, uncertainties affecting rendered by models (1D radiative transfer models) spectroradiometers (double monochromator-based CCD array-based). We found that uncertainty spectral measurements is driven signal-to-noise ratio detector, while calculations strongly ozone input. presented figures allow comparison performance modern gathering techniques (models instruments), provide frame assess significance differences when intercomparing.