KEYWORD |
Hydrological modeling of engaged basins in South America (in collaboration with CIMA Foundation)
keywords HYDROLOGICAL MODELLING, PRECIPITATION DATA, REMOTE SENSING
Reference persons DANIELE GANORA
External reference persons Dr. Alessandro Masoero (CIMA Foundation)
Description The thesis aims to develop and test novel techniques to include ground and satellite rainfall observations into hydrological models for catchments with a remarkable orographic variability. The case study will be focused on South America's.
Required skills Hydrology
Basics of Statistics
Good coding skills (e.g., R, Python, Matlab, ...)
Deadline 30/04/2023
PROPONI LA TUA CANDIDATURA