A method for convective storm detection using satellite data
Moisture and instability, along with a triggering mechanism, are the main keys of deep convective storms initiation and evolution. Satellite data can provide indirect measurements of instability and moisture of a wide area in short periods of time. This paper studies the use of an objective method b...
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description | Moisture and instability, along with a triggering mechanism, are the main keys of deep convective storms initiation and evolution. Satellite data can provide indirect measurements of instability and moisture of a wide area in short periods of time. This paper studies the use of an objective method based on a blended use of multiple satellite-based convection estimation techniques. This method is based on different techniques arranged in a several layers approach of different convective features, aiming to stratify a cloud shield. Meteosat Second Generation (MSG) infrared (IR) 10.8 [mu]m and water vapor (WV) 6.2 [mu]m channels are explored together with tropopause temperature information provided by a numerical model. Threshold, brightness temperature differences (BTD), and time trends are applied to the information available resulting in a five layers product, highlighting areas of different convective activities. This cloud shield stratification method showed a great ability to better evaluate strong convection when compared with simpler techniques such as IR false color, and was especially useful to better identify the strongest convective cell in a large area with several convective outbreaks. A validation analysis was conducted using radar and lightning data, showing that this approach is very helpful in distinguishing very strong cases from weaker ones by pointing out subtle convective patterns only present in severe storms. Also, small changes in storm evolution were more pronounced in the method output. Besides some uncertainties that were observed, likely due to the large viewing angle, techniques derived from MSG spectral bands displayed good accuracy in studying large convective systems in the South America southern region.Original Abstract: La humedad y la inestabilidad, en conjunto con un mecanismo de disparo, son las principales claves de iniciacion y evolucion de las tormentas de conveccion profunda. Los datos satelitales pueden proporcionar mediciones indirectas de la inestabilidad y la humedad de una amplia area en cortos periodos de tiempo. En este trabajo se estudia la utilizacion de un metodo objetivo basado en el uso combinado de tecnicas de estimacion de conveccion basadas en satelites. Este metodo se fundamenta en diferentes tecnicas dispuestas en un enfoque multicapa de diferentes caracteristicas convectivas, con el objetivo de estratificar un tope nuboso. Se investigan los canales infrarrojo (IR) de 10.8 [mu]m y de vapor de agua de |
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Satellite data can provide indirect measurements of instability and moisture of a wide area in short periods of time. This paper studies the use of an objective method based on a blended use of multiple satellite-based convection estimation techniques. This method is based on different techniques arranged in a several layers approach of different convective features, aiming to stratify a cloud shield. Meteosat Second Generation (MSG) infrared (IR) 10.8 [mu]m and water vapor (WV) 6.2 [mu]m channels are explored together with tropopause temperature information provided by a numerical model. Threshold, brightness temperature differences (BTD), and time trends are applied to the information available resulting in a five layers product, highlighting areas of different convective activities. This cloud shield stratification method showed a great ability to better evaluate strong convection when compared with simpler techniques such as IR false color, and was especially useful to better identify the strongest convective cell in a large area with several convective outbreaks. A validation analysis was conducted using radar and lightning data, showing that this approach is very helpful in distinguishing very strong cases from weaker ones by pointing out subtle convective patterns only present in severe storms. Also, small changes in storm evolution were more pronounced in the method output. Besides some uncertainties that were observed, likely due to the large viewing angle, techniques derived from MSG spectral bands displayed good accuracy in studying large convective systems in the South America southern region.Original Abstract: La humedad y la inestabilidad, en conjunto con un mecanismo de disparo, son las principales claves de iniciacion y evolucion de las tormentas de conveccion profunda. Los datos satelitales pueden proporcionar mediciones indirectas de la inestabilidad y la humedad de una amplia area en cortos periodos de tiempo. En este trabajo se estudia la utilizacion de un metodo objetivo basado en el uso combinado de tecnicas de estimacion de conveccion basadas en satelites. Este metodo se fundamenta en diferentes tecnicas dispuestas en un enfoque multicapa de diferentes caracteristicas convectivas, con el objetivo de estratificar un tope nuboso. Se investigan los canales infrarrojo (IR) de 10.8 [mu]m y de vapor de agua de 6.2 [mu]m de Meteosat segunda generacion (MSG) junto con la temperatura de la tropopausa proporcionada por un modelo numerico. Se aplican el umbral, diferencias de brillo de temperatura y tendencias en el tiempo a la informacion disponible, de lo cual resulta un producto de cinco capas que destaca las areas de diferentes actividades de conveccion. Este metodo de estratificacion mostro gran capacidad para evaluar mejor la conveccion fuerte en comparacion con las tecnicas mas simples como IR de falso color, y fue especialmente eficiente para identificar la celula de conveccion fuerte en un area grande con varios focos convectivos. Se llevo a cabo un analisis de validacion utilizando datos de radar y de rayos, lo cual demuestra que este enfoque es muy util para distinguir los casos fuertes de los debiles desde las primeras horas mediante la seleccion de patrones convectivos sutiles solamente presentes en tormentas severas. Los pequenos cambios en la evolucion de la tormenta tambien se apreciaron mejor en los resultados arrojados por este metodo, lo cual facilita su identificacion. Ademas se observaron algunas incertidumbres, probablemente debido al gran angulo de vision, lo cual demuestra que la tecnica derivada de las bandas espectrales del MSG tiene buena precision para el estudio de los grandes sistemas convectivos en la region austral de Sudamerica.</description><identifier>ISSN: 0187-6236</identifier><language>spa</language><ispartof>Atmósfera, 2016-10, Vol.29 (4)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Neto, Carlos Pinto Da Silva</creatorcontrib><creatorcontrib>Barbosa, Humberto Alves</creatorcontrib><creatorcontrib>Beneti, Cesar Augustus Assis</creatorcontrib><title>A method for convective storm detection using satellite data</title><title>Atmósfera</title><description>Moisture and instability, along with a triggering mechanism, are the main keys of deep convective storms initiation and evolution. Satellite data can provide indirect measurements of instability and moisture of a wide area in short periods of time. This paper studies the use of an objective method based on a blended use of multiple satellite-based convection estimation techniques. This method is based on different techniques arranged in a several layers approach of different convective features, aiming to stratify a cloud shield. Meteosat Second Generation (MSG) infrared (IR) 10.8 [mu]m and water vapor (WV) 6.2 [mu]m channels are explored together with tropopause temperature information provided by a numerical model. Threshold, brightness temperature differences (BTD), and time trends are applied to the information available resulting in a five layers product, highlighting areas of different convective activities. This cloud shield stratification method showed a great ability to better evaluate strong convection when compared with simpler techniques such as IR false color, and was especially useful to better identify the strongest convective cell in a large area with several convective outbreaks. A validation analysis was conducted using radar and lightning data, showing that this approach is very helpful in distinguishing very strong cases from weaker ones by pointing out subtle convective patterns only present in severe storms. Also, small changes in storm evolution were more pronounced in the method output. Besides some uncertainties that were observed, likely due to the large viewing angle, techniques derived from MSG spectral bands displayed good accuracy in studying large convective systems in the South America southern region.Original Abstract: La humedad y la inestabilidad, en conjunto con un mecanismo de disparo, son las principales claves de iniciacion y evolucion de las tormentas de conveccion profunda. Los datos satelitales pueden proporcionar mediciones indirectas de la inestabilidad y la humedad de una amplia area en cortos periodos de tiempo. En este trabajo se estudia la utilizacion de un metodo objetivo basado en el uso combinado de tecnicas de estimacion de conveccion basadas en satelites. Este metodo se fundamenta en diferentes tecnicas dispuestas en un enfoque multicapa de diferentes caracteristicas convectivas, con el objetivo de estratificar un tope nuboso. Se investigan los canales infrarrojo (IR) de 10.8 [mu]m y de vapor de agua de 6.2 [mu]m de Meteosat segunda generacion (MSG) junto con la temperatura de la tropopausa proporcionada por un modelo numerico. Se aplican el umbral, diferencias de brillo de temperatura y tendencias en el tiempo a la informacion disponible, de lo cual resulta un producto de cinco capas que destaca las areas de diferentes actividades de conveccion. Este metodo de estratificacion mostro gran capacidad para evaluar mejor la conveccion fuerte en comparacion con las tecnicas mas simples como IR de falso color, y fue especialmente eficiente para identificar la celula de conveccion fuerte en un area grande con varios focos convectivos. Se llevo a cabo un analisis de validacion utilizando datos de radar y de rayos, lo cual demuestra que este enfoque es muy util para distinguir los casos fuertes de los debiles desde las primeras horas mediante la seleccion de patrones convectivos sutiles solamente presentes en tormentas severas. Los pequenos cambios en la evolucion de la tormenta tambien se apreciaron mejor en los resultados arrojados por este metodo, lo cual facilita su identificacion. Ademas se observaron algunas incertidumbres, probablemente debido al gran angulo de vision, lo cual demuestra que la tecnica derivada de las bandas espectrales del MSG tiene buena precision para el estudio de los grandes sistemas convectivos en la region austral de Sudamerica.</description><issn>0187-6236</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqVi0sKwjAQQLNQsFrvMEs3hX5iG8GNiOIB3JeQTjXSZrQz7flV8AKuHg_em6kozUyVlHlRLtSS-ZGmequNjtT-AD3KnRpoaQBHYUInfkJgoaGHBuXrFGBkH27AVrDrvCA0Vmys5q3tGNc_rtTmfLoeL8lzoNeILHXv2X0GG5BGrjNjzK4qTa6LP9I3Wks7fQ</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Neto, Carlos Pinto Da Silva</creator><creator>Barbosa, Humberto Alves</creator><creator>Beneti, Cesar Augustus Assis</creator><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>KL.</scope></search><sort><creationdate>20161001</creationdate><title>A method for convective storm detection using satellite data</title><author>Neto, Carlos Pinto Da Silva ; Barbosa, Humberto Alves ; Beneti, Cesar Augustus Assis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_18889768243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>spa</language><creationdate>2016</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Neto, Carlos Pinto Da Silva</creatorcontrib><creatorcontrib>Barbosa, Humberto Alves</creatorcontrib><creatorcontrib>Beneti, Cesar Augustus Assis</creatorcontrib><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Atmósfera</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Neto, Carlos Pinto Da Silva</au><au>Barbosa, Humberto Alves</au><au>Beneti, Cesar Augustus Assis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A method for convective storm detection using satellite data</atitle><jtitle>Atmósfera</jtitle><date>2016-10-01</date><risdate>2016</risdate><volume>29</volume><issue>4</issue><issn>0187-6236</issn><abstract>Moisture and instability, along with a triggering mechanism, are the main keys of deep convective storms initiation and evolution. Satellite data can provide indirect measurements of instability and moisture of a wide area in short periods of time. This paper studies the use of an objective method based on a blended use of multiple satellite-based convection estimation techniques. This method is based on different techniques arranged in a several layers approach of different convective features, aiming to stratify a cloud shield. Meteosat Second Generation (MSG) infrared (IR) 10.8 [mu]m and water vapor (WV) 6.2 [mu]m channels are explored together with tropopause temperature information provided by a numerical model. Threshold, brightness temperature differences (BTD), and time trends are applied to the information available resulting in a five layers product, highlighting areas of different convective activities. This cloud shield stratification method showed a great ability to better evaluate strong convection when compared with simpler techniques such as IR false color, and was especially useful to better identify the strongest convective cell in a large area with several convective outbreaks. A validation analysis was conducted using radar and lightning data, showing that this approach is very helpful in distinguishing very strong cases from weaker ones by pointing out subtle convective patterns only present in severe storms. Also, small changes in storm evolution were more pronounced in the method output. Besides some uncertainties that were observed, likely due to the large viewing angle, techniques derived from MSG spectral bands displayed good accuracy in studying large convective systems in the South America southern region.Original Abstract: La humedad y la inestabilidad, en conjunto con un mecanismo de disparo, son las principales claves de iniciacion y evolucion de las tormentas de conveccion profunda. Los datos satelitales pueden proporcionar mediciones indirectas de la inestabilidad y la humedad de una amplia area en cortos periodos de tiempo. En este trabajo se estudia la utilizacion de un metodo objetivo basado en el uso combinado de tecnicas de estimacion de conveccion basadas en satelites. Este metodo se fundamenta en diferentes tecnicas dispuestas en un enfoque multicapa de diferentes caracteristicas convectivas, con el objetivo de estratificar un tope nuboso. Se investigan los canales infrarrojo (IR) de 10.8 [mu]m y de vapor de agua de 6.2 [mu]m de Meteosat segunda generacion (MSG) junto con la temperatura de la tropopausa proporcionada por un modelo numerico. Se aplican el umbral, diferencias de brillo de temperatura y tendencias en el tiempo a la informacion disponible, de lo cual resulta un producto de cinco capas que destaca las areas de diferentes actividades de conveccion. Este metodo de estratificacion mostro gran capacidad para evaluar mejor la conveccion fuerte en comparacion con las tecnicas mas simples como IR de falso color, y fue especialmente eficiente para identificar la celula de conveccion fuerte en un area grande con varios focos convectivos. Se llevo a cabo un analisis de validacion utilizando datos de radar y de rayos, lo cual demuestra que este enfoque es muy util para distinguir los casos fuertes de los debiles desde las primeras horas mediante la seleccion de patrones convectivos sutiles solamente presentes en tormentas severas. Los pequenos cambios en la evolucion de la tormenta tambien se apreciaron mejor en los resultados arrojados por este metodo, lo cual facilita su identificacion. Ademas se observaron algunas incertidumbres, probablemente debido al gran angulo de vision, lo cual demuestra que la tecnica derivada de las bandas espectrales del MSG tiene buena precision para el estudio de los grandes sistemas convectivos en la region austral de Sudamerica.</abstract></addata></record> |
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title | A method for convective storm detection using satellite data |
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