Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery

Thunderstorms in southeastern South America (SESA) stand out in satellite observations as being among the strongest on Earth in terms of satellite-based convective proxies, such as lightning flash rate per storm, the prevalence for extremely tall, wide convective cores and broad stratiform region...

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Autores principales: Cancelada, Maite, Salio, Paola, Vila, Daniel, Nesbitt, Steve, Vidal, Luciano
Formato: Artículo
Lenguaje:Inglés
Publicado: Remote Sensing 2020
Materias:
CONVECTIVE INITIATION
SATELLITE OBSERVATIONS
ALGORITHMS
SEVERE WEATHER
Acceso en línea:http://hdl.handle.net/20.500.12160/1288
https://doi.org/10.3390/rs12020337
Aporte de:
El Abrigo - Repositorio Institucional del Servicio Meteorológico Nacional (SMN) de Servicio Meteorológico Nacional (SMN)
id I63-R169-20.500.12160-1288
record_format dspace
institution Servicio Meteorológico Nacional (SMN)
institution_str I-63
repository_str R-169
collection El Abrigo - Repositorio Institucional del Servicio Meteorológico Nacional (SMN)
language Inglés
topic CONVECTIVE INITIATION
SATELLITE OBSERVATIONS
ALGORITHMS
SEVERE WEATHER
spellingShingle CONVECTIVE INITIATION
SATELLITE OBSERVATIONS
ALGORITHMS
SEVERE WEATHER
Cancelada, Maite
Salio, Paola
Vila, Daniel
Nesbitt, Steve
Vidal, Luciano
Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
topic_facet CONVECTIVE INITIATION
SATELLITE OBSERVATIONS
ALGORITHMS
SEVERE WEATHER
description Thunderstorms in southeastern South America (SESA) stand out in satellite observations as being among the strongest on Earth in terms of satellite-based convective proxies, such as lightning flash rate per storm, the prevalence for extremely tall, wide convective cores and broad stratiform regions. Accurately quantifying when and where strong convection is initiated presents great interest in operational forecasting and convective system process studies due to the relationship between convective storms and severe weather phenomena. This paper generates a novel methodology to determine convective initiation (CI) signatures associated with extreme convective systems, including extreme events. Based on the well-established area-overlapping technique, an adaptive brightness temperature threshold for identification and backward tracking with infrared data is introduced in order to better identify areas of deep convection associated with and embedded within larger cloud clusters. This is particularly important over SESA because ground-based weather radar observations are currently limited to particular areas. Extreme rain precipitation features (ERPFs) from Tropical Rainfall Measurement Mission are examined to quantify the full satellite-observed life cycle of extreme convective events, although this technique allows examination of other intense convection proxies such as the identification of overshooting tops. CI annual and diurnal cycles are analyzed and distinctive behaviors are observed for different regions over SESA. It is found that near principal mountain barriers, a bimodal diurnal CI distribution is observed denoting the existence of multiple CI triggers, while convective initiation over flat terrain has a maximum frequency in the afternoon.
format Artículo
author Cancelada, Maite
Salio, Paola
Vila, Daniel
Nesbitt, Steve
Vidal, Luciano
author_facet Cancelada, Maite
Salio, Paola
Vila, Daniel
Nesbitt, Steve
Vidal, Luciano
author_sort Cancelada, Maite
title Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
title_short Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
title_full Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
title_fullStr Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
title_full_unstemmed Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
title_sort backward adaptive brightness temperature threshold technique (bab3t): a methodology to determine extreme convective initiation regions using satellite infrared imagery
publisher Remote Sensing
publishDate 2020
url http://hdl.handle.net/20.500.12160/1288
https://doi.org/10.3390/rs12020337
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