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Thunderstorm characteristics of summer precipitating systems during - - PowerPoint PPT Presentation

Jul 25, 2023 271 likes •523 views

Thunderstorm characteristics of summer precipitating systems during CHUVA- GLM Vale do Paraiba field campaign Rachel Albrecht 1 , Carlos Morales 2 , Evandro Anselmo 2 , Joo Neves 2 , Enrique Mattos 1 , Thiago Biscaro 1 , Luiz A. T. Machado

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Thunderstorm characteristics of summer precipitating systems during CHUVA- GLM Vale do Paraiba field campaign

Rachel Albrecht 1, Carlos Morales 2, Evandro Anselmo 2, João Neves 2, Enrique Mattos1, Thiago Biscaro 1, Luiz A. T. Machado 1

1 Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brazil 2 Universidade de São Paulo, São Paulo, Brazil

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Thunderstorm characteristics of summer precipitating systems during CHUVA- GLM Vale do Paraiba field campaign

Rachel Albrecht 1, Carlos Morales 2, Evandro Anselmo 2, João Neves 2, Enrique Mattos1, Thiago Biscaro 1, Luiz A. T. Machado 1

1 Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brazil 2 Universidade de São Paulo, São Paulo, Brazil

Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and to the GPM (GlobAl Precipitation Measurement)

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CHUVA Field Campaign Schedule

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CHUVA – GLM (Geostationary Lightning Mapper) Vale do Paraíba

  • Objectives
  • Characterize the life cycle of thunderstorms in respect to their environmental,

dynamical and microphysical aspects

  • Acquire total (intracloud and cloud-to-ground) lightning data under the coverage
  • f MSG SEVIRI for GOES-R GLM and MTG LI pre-launch activities:
  • Generate GLM and LI proxy data based on ground-based lightning

networks and TRMM-LIS overpasses

  • Use SEVIRI as proxy data for GOES-R ABI and MTG ABI
  • Develop tools for alert, monitoring and nowcasting using lightning and

remote sensing data (multi-sensor and multi-platform)

  • Understand the ground based networks for GOES-R and MTG ground

validation (GV)

  • Period of observations
  • Summer 2011-2012 (01-Nov-2011 to 31-Mar-2012)

4th CHUVA field campaign:

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CHUVA-GLM Vale do Paraíba

~250km

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CHUVA-GLM Vale do Paraíba

  • Instrumentation:

X-band Dual-Pol mobile Radar 2 MicroRain radars 10 Disdrometers (Joss-Waldgel, Thies, Parsival) 15 Rain Gauges 1 Lidar 2 Radiometers 3 Radiosonde sites … and more: Weather stations Turbulent fluxes Soil Humidity GPS humidity Solar Radiation Air quality CCN counter

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CHUVA-GLM Vale do Paraíba

  • Instrumentation / data:
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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

PRELIMINAY RESULTS:

  • 5 months of continuous data:
  • Local convection due to thermodynamics
  • Local convection due to topography
  • Cold fronts
  • Convection from South Atlantic Convergence Zone (SACZ)
  • Squall Lines
  • Severe Weather (20+ cases of hail storms, damaging winds, flooding):
  • Severe Weather reports are being gathered from Civil Defense, Newspapers,

TV news, Internet sources (blogs, social networking, etc.), Insurance Companies

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CHUVA-GLM Vale do Paraíba

PRELIMINAY RESULTS:

  • Case study of a severe weather event (07 January 2012):
  • Hail, damaging winds and flooding were reported in São Paulo and

Guarulhos.

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CHUVA-GLM Vale do Paraíba

THUNDERSTORM STRUCTURE:

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

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CHUVA-GLM Vale do Paraíba

Very rapid increase in incloud lightning activity has been associated to severe weather (tornadoes, hail and damaging winds) [Schultz et al. 2009; Gatlin and Goodman 2010]

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CHUVA-GLM Vale do Paraíba

NEXT STEPS:

  • Track all convective system using ForTraCC (Vila et al., 2004) algorithm

adapted for radar data:

  • Build a database of severe and non-severe thunderstorms with collocated

lightning and remote sensing data (this database will be available at CHUVA website)

  • Study the relationship between total lightning and cloud updraft for severe

weather monitoring, alert and nowcasting:

  • Verify if a lightning jump algorithm can predict severe weather in tropical

convection over Brazil.

  • Study the jump of lightning sources in the main charge centers (-15oC and -

25oC) with polarimetric variables (study the cloud microphysics evolution to the electrification processes).

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CHUVA WEB

CHUVA data is openly available to the scientific community!!! Access our web site:

http://chuvaproject.cptec.inpe.br

Collaborations are very welcome!!!

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Thank you for your attention!!!

rachel.albrecht@cptec.inpe.br

http://chuvaproject.cptec.inpe.br/

Acknowledgments: