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The critical role of cloud-infrared radiation feedback in tropical cyclone development.
Ruppert, James H; Wing, Allison A; Tang, Xiaodong; Duran, Erika L.
Afiliación
  • Ruppert JH; Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA 16802; james.ruppert@psu.edu.
  • Wing AA; Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, PA 16802.
  • Tang X; Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32306.
  • Duran EL; Key Laboratory of Mesoscale Severe Weather, Ministry of Education, and School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China.
Proc Natl Acad Sci U S A ; 117(45): 27884-27892, 2020 11 10.
Article en En | MEDLINE | ID: mdl-33106402
The tall clouds that comprise tropical storms, hurricanes, and typhoons-or more generally, tropical cyclones (TCs)-are highly effective at trapping the infrared radiation welling up from the surface. This cloud-infrared radiation feedback, referred to as the "cloud greenhouse effect," locally warms the lower-middle troposphere relative to a TC's surroundings through all stages of its life cycle. Here, we show that this effect is essential to promoting and accelerating TC development in the context of two archetypal storms-Super Typhoon Haiyan (2013) and Hurricane Maria (2017). Namely, this feedback strengthens the thermally direct transverse circulation of the developing storm, in turn both promoting saturation within its core and accelerating the spin-up of its surface tangential circulation through angular momentum convergence. This feedback therefore shortens the storm's gestation period prior to its rapid intensification into a strong hurricane or typhoon. Further research into this subject holds the potential for key progress in TC prediction, which remains a critical societal challenge.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2020 Tipo del documento: Article