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Título : | Evaluation of the NUV forecast performance against ground-based measurements in southern South America | Autor : | Orte, Facundo Jønch-Sørensen, Helge Luccini, Eduardo Lusi, Anabela D'Elia, R. Nollas, Fernando Wolfram, E. |
Palabras clave : | RADIACION ULTRAVIOLETA; ATMOSFERA; CLIMATOLOGIA; INDICE UV; INGENIERIA AMBIENTAL | Fecha de publicación : | 2024 | Editorial : | AIP Publishing LLC | Cita : | Orte, F. et al. Evaluation of the NUV forecast performance against ground-based measurements in southern South America [en línea]. AIP Conference Proceedings. 2024, 2988 (090010). doi: 10.1063/5.0185364. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/18356 | Resumen : | Abstract: Abstract. Reliable UV Index (UVI) forecast is a relevant tool to inform the population about the potential health risks of sun exposure in a specific temporal horizon. In this work, the 1-day local-noon Near-Real-Time UV index forecast (NUV) for clear sky (NUV/CLEAR) and for all-sky condition (NUV/CLOUD) is evaluated against ground-based measurements in six sites of the Argentine solar radiation network Saver-Net, covering the latitudinal range from ~30ºS to ~52°S. NUV/CLEAR is calculated using GOME-2 assimilated total ozone (ATO) as the only forecasted dynamic input, while all other atmospheric parameters and surface albedo are taken from climatology. NUV/CLOUD incorporates clouds to NUV/CLEAR using the ECMWF cloud cover fraction forecast as input. NUV/CLEAR presents an excellent correspondence with respect to ground-based observations, with low values of RMSE and MAE and high correlation with coefficient of determination above 0.99. As expected, the correspondence decreases when cloudiness is included, although NUV/CLOUD still shows a reasonable agreement. | URI : | https://repositorio.uca.edu.ar/handle/123456789/18356 | ISSN : | 1551-7616 (en línea ) 0094-243X (impreso ) |
Disciplina: | INGENIERIA AMBIENTAL | DOI: | 10.1063/5.0185364 | Derechos: | Acceso abierto |
Aparece en las colecciones: | Artículos |
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evaluation-NUV-forecast.pdf | 1,46 MB | Adobe PDF | Visualizar/Abrir |
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