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Título

A daytime over land algorithm for computing AVHRR convective cloud climatologies for the Iberian Peninsula and the Balearic Islands

AutorAzorín-Molina, César ; Baena-Calatrava, R.; Echave-Calvo, I.; Connell, B. H.; Vicente Serrano, Sergio M. ; López-Moreno, Juan I.
Fecha de publicación2013
EditorJohn Wiley & Sons
CitaciónInternational Journal of Climatology 33: 2113- 2128 (2013)
ResumenA daytime over land multispectral cloud detection algorithm is presented to derive accurate convective cloud climatologies with high spatial resolution (1.1 km) over the Iberian Peninsula (IP) and the Balearic Islands (BI). The cloud detection scheme was designed to process Advanced Very High Resolution Radiometer (AVHRR) HRPT data and is tested here on NOAA-17 morning (0900-1200 UTC) and NOAA-16 afternoon (1200-1500 UTC) overpasses for the warm 6-month study period May-October. The algorithm consists of four spectral threshold tests applied to each pixel. Test 1 corresponds to the snow-ice removal, test 2 is the thermal infrared test, test 3 is the albedo or visible test and test 4 is the ratio between near-infrared and visible channels. The algorithm discretizes all AVHRR data into four groups called cloud-filled, cloud-free, snow-ice and snow-free radiances. The high-resolution convective cloud masks are obtained by subtracting snow-ice pixels from cloudy ones. In this article, a detailed description of the convective cloud detection scheme and the sources of error detected for each test are given, and the first seasonal and monthly regional convective cloud frequency composites are presented. Future applications of the newly proposed threshold algorithm in climate and meteorology are also discussed in this article, particularly the production of convective cloud composites for climate monitoring of storms over the IP and BI. © 2012 Royal Meteorological Society.
Versión del editorhttp://dx.doi.org/10.1002/joc.3572
URIhttp://hdl.handle.net/10261/81912
DOI10.1002/joc.3572
Identificadoresdoi: 10.1002/joc.3572
issn: 0899-8418
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