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Abstract:

The purpose of this study is to develop and validate an algorithm for tracking and forecasting radiative and morphological characteristics of mesoscale convective systems (MCSs) through their entire life cycles using geostationary satellite thermal channel information (10.8 μm). The main features of this system are the following: 1) a cloud cluster detection method based on a threshold temperature (235 K), 2) a tracking technique based on MCS overlapping areas in successive images, and 3) a forecast module based on the evolution of each particular MCS in previous steps. This feature is based on the MCS's possible displacement (considering the center of the mass position of the cloud cluster in previous time steps) and its size evolution. Statistical information about MCS, evolution during the Wet Season Atmospheric Mesoscale Campaign (WETAMC) of the Large-Scale Biosphere-Atmosphere. Experiment in Amazonia (LBA) was used to obtain area expansion mean rates for different MCSs according to their lifetime durations. This nowcasting tool was applied to evaluate the MCS displacement and size evolution over the Del Plata basin in South America up to 120 min with 30-min intervals. The Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC) technique's performance was evaluated based on the difference between the forecasted and observed images. This evaluation shows good agreement between the observed and forecast size and minimum temperature for shorter forecast lead times, but tends to underestimate MCS size (and overestimate the minimum temperature) for larger forecast lead times. © 2008 American Meteorological Society.

Registro:

Documento: Artículo
Título:Forecast and tracking the evolution of cloud clusters (ForTraCC) using satellite infrared imagery: Methodology and validation
Autor:Vila, D.A.; Machado, L.A.T.; Laurent, H.; Velasco, I.
Filiación:Cooperative Institute of Climate Studies, University of Maryland, 2207 Computer and Space Bldg., College Park, MD 20742, United States
Centre de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pequisas Espaciais, Cachoeira Paulista, São Paulo, Brazil
Institut de Recherche pour le Developpement, Paris, France
Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Palabras clave:Atmospheric radiation; Clouds; Geostationary satellites; Satellite imagery; Cloud cluster detection method; Geostationary satellite thermal channel information; Mesoscale convective systems (MCSs); Weather forecasting; algorithm; convective cloud; convective system; geostationary satellite; infrared imagery; mesoscale meteorology; satellite imagery; statistical analysis; tracking; weather forecasting; South America
Año:2008
Volumen:23
Número:2
Página de inicio:233
Página de fin:245
DOI: http://dx.doi.org/10.1175/2007WAF2006121.1
Título revista:Weather and Forecasting
Título revista abreviado:Weather Forecast.
ISSN:08828156
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08828156_v23_n2_p233_Vila

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Citas:

---------- APA ----------
Vila, D.A., Machado, L.A.T., Laurent, H. & Velasco, I. (2008) . Forecast and tracking the evolution of cloud clusters (ForTraCC) using satellite infrared imagery: Methodology and validation. Weather and Forecasting, 23(2), 233-245.
http://dx.doi.org/10.1175/2007WAF2006121.1
---------- CHICAGO ----------
Vila, D.A., Machado, L.A.T., Laurent, H., Velasco, I. "Forecast and tracking the evolution of cloud clusters (ForTraCC) using satellite infrared imagery: Methodology and validation" . Weather and Forecasting 23, no. 2 (2008) : 233-245.
http://dx.doi.org/10.1175/2007WAF2006121.1
---------- MLA ----------
Vila, D.A., Machado, L.A.T., Laurent, H., Velasco, I. "Forecast and tracking the evolution of cloud clusters (ForTraCC) using satellite infrared imagery: Methodology and validation" . Weather and Forecasting, vol. 23, no. 2, 2008, pp. 233-245.
http://dx.doi.org/10.1175/2007WAF2006121.1
---------- VANCOUVER ----------
Vila, D.A., Machado, L.A.T., Laurent, H., Velasco, I. Forecast and tracking the evolution of cloud clusters (ForTraCC) using satellite infrared imagery: Methodology and validation. Weather Forecast. 2008;23(2):233-245.
http://dx.doi.org/10.1175/2007WAF2006121.1