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Variability of precipitation isotopic composition in central portion of São Paulo State based on intra-events evaluation

Grant number: 19/03467-3
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): August 01, 2019
Effective date (End): July 31, 2022
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Didier Gastmans
Grantee:Vinícius dos Santos
Home Institution: Centro de Estudos Ambientais (CEA). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil


Stable isotopes of hydrogen (1H/2H) and oxygen (16O/17O/18O) are excellent tracers for the movement of the water molecule along the hydrological cycle. They are used as auxiliary tools for interpreting the origins of water, flows within river basins, climatic controls of precipitation and groundwater origin, allowing their use in studies of paleoclimatic reconstitution. In tropical areas, the climatic factors that govern the isotopic composition of precipitation remain a controversial subject in the scientific community. Some authors suggest that the isotopic composition of precipitation is influenced by processes at the regional scale, others advocate the importance of local climate dynamics. The main results of a daily monitoring carried out at the center-eastern portion of the state of Sao Paulo showed that the isotopic composition of precipitation is controlled by elements and processes at the regional scale, characterized by the influence of different seasonal atmospheric systems, inducing the formation of frontal systems and different types of rainfall. Thus, this project aims to evaluate the intra-event isotopic variations of the precipitation in Rio Claro, trying to understand the governing local climatic factors, mainly those associated to the formation, evolution and passage of different types of rainfall and their microphysical characteristics. For this purpose, meteorological information provided by a Micro Rain Radar will be examined, along with the isotopic composition of precipitation, which are essential for an evaluation of the vertical profile of the atmosphere at the sampling site. The resulting meteorological and isotopic data matrix is going to be used in statistical regression tests, with the completion of a robust statistical model that correlates the isotopic content with the local and regional climatic parameters.