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RESEARCH PRODUCT
Sensitivity of UVER enhancement to broken liquid water clouds: A Monte Carlo approach
D. SerranoJosé A. Martínez-lozanoMaría P. UtrillasM. J. MarínKurt FienbergManuel Nuñezsubject
PhysicsAtmospheric Science010504 meteorology & atmospheric sciencesCloud coverMonte Carlo methodIrradianceSolar zenith angle010502 geochemistry & geophysics01 natural sciencesGeophysicsAtmospheric radiative transfer codesSpace and Planetary ScienceExtinction (optical mineralogy)Cloud albedoCloud heightEarth and Planetary Sciences (miscellaneous)Astrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesRemote sensingdescription
The study uses a Monte Carlo radiative transfer model to examine the sensitivity of the UV erythemal radiation (UVER) enhancement to broken liquid water clouds of the cumulus and stratocumulus type. The model uses monochromatic radiation at 310 nm corresponding approximately to the peak of the product between irradiance and the erythemal curve. All scattering, absorption, extinction coefficients, and spectral albedos are tuned to this wavelength. In order of importance, fractional cloud cover, the area of individual cloud patches, and cloud thickness exert a strong influence on the enhancement, with smaller contributions from cloud optical depth, cloud base height, and solar zenith angle. In order to produce realistic enhancements for our study area located in the Valencia region of Spain (39°30′N, 0°25′W), measurements were obtained from a Landsat image of the region in combination with a spectral Fourier transform model. The Monte Carlo model, as applied to the Fourier transform cloud distribution, produced satisfactory results compared to 1 year of measured UVER enhancement for the study region provided that fractional cloud cover was equal to or greater than 3/10. At smaller cloud fractions, the neglect of cloud patches less than 50 m × 50 m in area by the model created significant discrepancies.
year | journal | country | edition | language |
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2016-01-27 | Journal of Geophysical Research: Atmospheres |