Algoritmo de detección de nubes en imágenes NOAA-AVHRR para el análisis de la variabilidad espacio-temporal de tormentas

  1. César Azorín-Molina 1
  2. Rafael Baena-Calatrava
  3. Imanol Echave-Calvo
  4. Bernadette Connell 2
  5. Sergio M. Vicente-Serrano 1
  6. Juan Ignacio López-Moreno 1
  7. Javier Zabalza 1
  8. Enrique Morán-Tejeda 3
  9. Jorge Lorenzo-Lacruz 1
  10. Jesús Revuelto 1
  11. Fergus Reig-Gracia 1
  1. 1 Consejo Superior de Investigaciones Científicas
    info

    Consejo Superior de Investigaciones Científicas

    Madrid, España

    ROR https://ror.org/02gfc7t72

  2. 2 Colorado State University
    info

    Colorado State University

    Fort Collins, Estados Unidos

    ROR https://ror.org/03k1gpj17

  3. 3 Université de Genève
    info

    Université de Genève

    Ginebra, Suiza

    ROR https://ror.org/01swzsf04

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Livre:
Cambio climático. Extremos e impactos: [ponencias presentadas al VIII Congreso Internacional de la Asociación Española de Climatología]
  1. Concepción Rodríguez Puebla (coord.)
  2. Antonio Ceballos Barbancho (coord.)
  3. Nube González Reviriego (coord.)
  4. Enrique Morán Tejeda (coord.)
  5. Ascensión Hernández Encinas (coord.)

Éditorial: Asociación Española de Climatología

ISBN: 978-84-695-4331-3

Année de publication: 2012

Pages: 249-259

Congreso: Asociación Española de Climatología. Congreso (8. 2012. Salamanca)

Type: Communication dans un congrès

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Résumé

In this study a daytime over land multispectral cloud detection algorithm is presented with the aim to derive accurate daily cloud masks with high spatial resolution (1.1 km) over the Iberian Peninsula and the Balearic Islands. The cloud detection scheme is designed to process Advanced Very High Resolution Radiometer HRPT data and is tested here on NOAA-17 (0900-1200 UTC) and NOAA- 16 (1200-1500 UTC) overpasses for the warm 6-month study period May-October 2004. The algorithm consists of four spectral threshold tests applied to each pixel and the fixed or constant thresholds have been successfully tested to be functional during the central months of the warm season. The algorithm discretizes all AVHRR data into four groups called cloud-filled, cloud-free, snow-ice and snow-free radiances. The convective cloud frequency composites enable the detection of the areas most likely to receive convection. This cloud analysis tool is presented here to compute regional convective cloud composites and analyze the spatial and temporal variability of thunderstorms in future studies. For instance, the proposed scheme could therefore be applied for validating the hypothesis about the rise of cloud condensation level above coastal mountains and consequently loss of summer storms observed in the Iberian Mediterranean area during lasts decades.

La source de données: Dialnet