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Particle size distribution characteristics of different ice species in the Gamma phase space

Grant number: 18/09082-3
Support type:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): July 01, 2018
Effective date (End): December 11, 2018
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Meteorology
Principal researcher:Maria Assunção Faus da Silva Dias
Grantee:Micael Amore Cecchini
Supervisor abroad: Andrew Heymsfield
Home Institution: Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Research place: National Center for Atmospheric Research (NCAR), United States  
Associated to the scholarship:17/04654-6 - Studying macro and microphysical phase spaces in thunderstorm clouds: insights for nowcasting techniques, BP.PD


This BEPE proposal has the aim of filling the conceptual gap of the associated domestic project. The latter is focused on studying macro- and microphysical aspects of rain as seen by a X-band radar. Given that a significant portion of the rain that reaches the surface is created by ice and mixed processes, there is a need to further study those aspects. The proposed activities of this BEPE will be developed under Prof. Dr. Andrew Heymsfield supervision during a 6-month visit to the National Center for Atmospheric Research (NCAR) at Boulder, CO, USA. The postdoctoral fellow will study ice particles size distributions (PSDs) of different types of cloud systems in different parts of the world. The PSD measurements were collected by past aircraft-based campaigns with NCAR participation. The Gamma function will be used to interpret PSD variation in the so-called Gamma phase space, where characteristics of different PSDs can be readily observed and compared. The statistical and physical natures of PSD variation in the Gamma phase space will be explored to describe the dominant microphysical processes occurring. The overall aim of this BEPE is to increase the conceptual knowledge of ice and mixed processes in order to further comprehend rain formation in convective systems.

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