| Grant number: | 11/08191-4 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | August 01, 2011 |
| End date: | December 31, 2014 |
| Field of knowledge: | Physical Sciences and Mathematics - Geosciences - Meteorology |
| Principal Investigator: | Tercio Ambrizzi |
| Grantee: | Luana Albertani Pampuch Bortolozo |
| Host Institution: | Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated scholarship(s): | 12/14316-7 - Dynamics and synoptic characteristics of extreme dry periods over the Southeast of Brazil and its relation to the South Atlantic SST - characterization of dry extreme events and simulations with climate models in IPCC scenarios, BE.EP.DR |
Abstract Studies of extreme precipitation events over Brazil have been particularly emphasized in the literature over the years. This concern is due to their ability to generate episodes of lives and economic losses because of floods, landslides, agricultural losses, tourism, etc.. Through monthly climate debate has been observed that the deficit of rain in the southeast of Brazil, especially during the winter and transitional seasons, is related to the number of cold fronts affecting the region. Apparently, the deviation of the frontal systems to the east in the Atlantic Ocean to reach the southern region of Brazil is associated with SST anomalies near the Brazilian coast, as well as the positioning and intensity of Atlantic Subtropical High during these periods. The objective of this research is to study the observational point of view and particularly numerical, the relationship between the variability of SST in the South Atlantic Ocean and Dry Extreme Events (DEE) over southeastern Brazil. We expected to generate a conceptual model for the DEE through the method of quantils. Taking these periods will be made compositions of meteorological variables and SST anomalies (simulated using RegCM3) in order to obtain a possible relationship between the various performance meteorological parameters. Will also be used climate models to future period (ECHAM5/MPI and HadAM3) to examine the possibility of increase / decrease and intensification / dry desintensification these extreme events. | |
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