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Pedro Leite da Silva Dias

CV Lattes ORCID Google Scholar Citations

Universidade de São Paulo (USP). Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Bachelor degree in Applied Mathematics (Univ. of São Paulo/USP in 1974), MSc and PhD in Atmospheric Sciences by the Colorado State University in 1977 and 1979, respectively. Professor at the Institute Geophysics and Atmospheric Sciences - IAG/USP since 1975. Director of the Institute of Astronomy, Geophysics and Atmospheric Sciences of the University of São Paulo (2017-2021). Former Director of th National Laboratory for Scientific Computing of the Ministry of Science and Technology. (2007-2015) Member of the Brazilian Academy of Sciences. Won the Scientific Honor Recognition by the Ministry of Science and Technology in 2002 and recognized by the American Meteorological Society for his contribution to the South American Meteorology. Visiting Researcher at NCAR and NCEP in the USA in several occasions. Senior researcher of the National Institute for Space Research (INPE) and head of the Center of Weather Forecasting and Climate Research (CPTEC) between 1988 and 1990. President of the Brazilian Meteorological Society between 1992 and 1994 and Science Director of the Society from 2006 to 2008. Coordination of the Environmental Area of the Institute of Advanced Studies of USP from 1996 to 2007 and the Regional Weather and Climate Studies Laboratory (MASTER) at USP. Published about 135 papers and book chapters, mostly in international journals and about 240 complete papers in national and international scientific events. Advisor of more than 65 MSc and PhD students. Participated in a large number of international committees of the World Meteorological Organization and international and national science panels. . Areas of expertise: tropical/extratropical interactions with emphasis on the role of tropical heat sources, numerical weather and climate modeling, operational weather prediction, climate variability and change and environmental issues. (Source: Lattes Curriculum)

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