93 research outputs found
Detección automática de ascendentes intensas mediante imágenes satelitales y su relación con tiempo severo
No full textFil: Vidal, Luciano. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina. Universidad de Buenos Aires.Numerosos estudios basados en datos de sensores remotos, especialmente de satélites, muestran que la frecuencia
de convección húmeda profunda asociada con una variedad de fenómenos meteorológicos severos (ej., granizo
grande, lluvias intensas, vientos dañinos, entre otros) es muy alta en la parte sur de Sudamérica, especialmente
en Argentina. En presencia de tormentas severas, las imágenes satelitales generalmente presentan ciertas características
o patrones espaciales muy útiles al momento de diagnosticar cuán probable es la ocurrencia de algún
fenómeno severo como los mencionados, en el marco del proceso de elaboración de un alerta a muy corto plazo
en una oficina operativa de pronóstico. Por ende, el desarrollo de algoritmos que ayuden a la detección automática
de estos patrones ha sido foco de atención de numerosos investigadores alrededor del mundo. En particular, el
grupo de investigación liderado por el Dr. Kristopher Bedka ha desarrollado un producto denominado "NASA LaRC
Gridded Overshooting Cloud Top Detection", el cual, en el marco de un proyecto de colaboración con el Servicio
Meteorológico Nacional de Argentina se tuvo acceso para realizar una primera evaluación en nuestra región para la
estación cálida 2019-2020.Numerous studies based on remote sensing data, especially from satellites, show that the frequency of deep moist
convection associated with a variety of severe weather events (e.g., large hail, heavy rain, damaging winds, etc.)
is very high in the southern South America, especially in central and northern Argentina. In the presence of severe
storms, satellite images generally present particular signatures or spatial patterns that are very useful when
diagnosing how likely the occurrence of a severe phenomenon such as those mentioned is, within the framework of
the process of preparing a very short-term alert in an operational forecasting office. Therefore, the development of
algorithms that help to automatically detect these severe signatures has been the focus of attention of many researchers
around the world. In particular, the research group led by Dr. Kristopher Bedka has developed a product called
"NASA LaRC Gridded Overshooting Cloud Top Detection", which within the framework of a collaboration project with
the National Meteorological Service of Argentina, was accessed to carry out a first evaluation in our region for the
warm season 2019-2020
Hail hazard estimation over Italy with a combination of high-resolution reanalysis, overshooting top detections and lightning data
No full textCharacterizing hail-prone environments using convection-permitting reanalysis and overshooting top detections over south-central Europe
No full text10.5194/egusphere-2023-263
A CERES-Consistent Cloud Property Climate Data Record Using AVHRR Data: Version 1 Delivery Results
No full textNo abstract availabl
Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe
No full textGOES 12 observations of convective storm variability and evolution during the Tropical Composition, Clouds and Climate Coupling Experiment field program
No full textHazardous thunderstorm intensification over Lake Victoria
No full textWeather extremes have harmful impacts on communities around Lake Victoria, where thousands of fishermen die every year because of intense night-time thunderstorms. Yet how these thunderstorms will evolve in a future warmer climate is still unknown. Here we show that Lake Victoria is projected to be a hotspot of future extreme precipitation intensification by using new satellite-based observations, a high-resolution climate projection for the African Great Lakes and coarser-scale ensemble projections. Land precipitation on the previous day exerts a control on night-time occurrence of extremes on the lake by enhancing atmospheric convergence (74%) and moisture availability (26%). The future increase in extremes over Lake Victoria is about twice as large relative to surrounding land under a high-emission scenario, as only over-lake moisture advection is high enough to sustain Clausius–Clapeyron scaling. Our results highlight a major hazard associated with climate change over East Africa and underline the need for high-resolution projections to assess local climate change
A Long-Term Overshooting Convective Cloud Top Detection Database over Australia Derived from MTSAT Japanese Advanced Meteorological Imager Infrared Observations
No full textA 10-yr geostationary (GEO) overshooting cloud-top (OT) detection database using Multifunction Transport Satellite (MTSAT) Japanese Advanced Meteorological Imager (JAMI) observations has been developed over the Australian region. GEO satellite imagers collect spatially and temporally detailed observations of deep convection, providing insight into the development and evolution of hazardous storms, particularly where surface observations of hazardous storms and deep convection are sparse and ground-based radar or lightning sensor networks are limited. Hazardous storms often produce one or more OTs that indicate the location of strong updrafts where weather hazards are typically concentrated, which can cause substantial impacts on the ground such as hail, damaging winds, tornadoes, and lightning and to aviation such as turbulence and in-flight icing. The 10-yr OT database produced using an automated OT detection algorithm is demonstrated for analysis of storm frequency, diurnally, spatially, and seasonally relative to known features such as the Australian monsoon, expected regions of hazardous storms along the southeastern coastal regions of southern Queensland and New South Wales, and the preferential extratropical cyclone track along the Indian Ocean and southern Australian coast. A filter based on atmospheric instability, deep-layer wind shear, and freezing level was used to identify OTs that could have produced hail. The filtered OT database is used to generate a hail frequency estimate that identifies a region extending from north of Brisbane to Sydney and the GoldfieldsEsperance region of eastern Western Australia as the most hail-prone regions
Efforts Toward Development of a High Resolution Global Climatology of Overshooting Cloud Top Detections Using MODIS and Geostationary Satellite Imager Data
No full textNo abstract availabl
Development of Pattern Recognition Algorithms to Detect Intense Convective Storms from Multispectral Satellite Imagery
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