As the largest tropical forest, the Amazon plays an important role in the balance of terrestrial carbon, storing carbon in the soil and in biomass. In turn, the imbalance in the carbon balance is the main cause of climate change observed in recent decades around the world. In the Amazon, carbon exchanges between the biosphere and the atmosphere occur in two ways: through carbon fixation by vegetation, and through the emission of greenhouse gases (GHG) by burning and flooded areas. These exchanges are influenced by several factors, such as vegetation characteristics, weather conditions, land use, intensity, and distribution of fires. Fluxes of greenhouse gases have been monitored in the Amazon since the late 1990s, through observations on the surface and on board aircrafts. In addition, measurements of GHG concentration have also been carried out via satellite since the 2000s, and, more recently, model inversions of GHG surface fluxes from satellite observations have been developed. This set of observations on GHG offers a rich possibility of discovering knowledge from the investigation of interdependencies between different atmospheric variables, at the same time as integration of such heterogeneous databases is a challenge. This postdoctoral project has as its main objective the development of methods for the integration of databases, considering the differences in spatial and temporal representativeness, in addition to other limitations of the GHG observation platforms in the Amazon. In addition, this project will propose a set of statistical and data-mining techniques that are suitable for investigating the relationship between GHG fluxes in the Amazon, environmental variables and anthropogenic activities.
The development of the work can be described in the following steps:
1. Literature Review: carbon balance in the Amazon.
2. Compilation of ground based data on GHG concentration and fluxes in the Amazon, since 1990’s.
3. Integration and validation of satellite GHG data against ground based measurements in Amazonia, considering limitations on observational methods, and differences on spatial and temporal resolution.
4. Integration of environmental data to the database.
5. Proposition of a set of statistical and data-mining techniques suitable for investigation of the relationship between GHG fluxes in the Amazon, environmental variables and anthropogenic activities.
6. Diffusion of partial results, through participation in scientific meetings, writing of reports and papers.
Requirements to fill the position.
PhD in Geosciences, Physics, Meteorology, Chemistry, Computer Science or Engineering, Electrical Engineering or similar areas. Experience areas: environmental applications, atmosphere data management, basic knowledge in scientific programming and database.
INFORMATION ABOUT FELLOWSHIP:
This Postdoc fellowship is funded by FAPESP. The fellowship will cover a standard maintenance stipend of R$ 7.373,10 per month.
Position: Post-Doctoral REF: 21PDR126
https://www.rcgi.poli.usp.br/opportunities-aplication/ AND APPLICATION AT REF 21PDR126 – Post Doctoral