Supervisor: Erika Coppola
ADRIANO.FANTINI@phd.units.it
Precipitation:
Gridded netCDF:
hydrological model
For each RP, cell:
Statistical RP analysis
LISFLOOD-FP model
For each RP, cell:
(multiple simulations)
Validation for
We have access to several Italian observational datasets provided by the University of L'Aquila for:
Some examples...
Outliers
Fill constant
Break
Shifts
Outlier
Short time scales for most stations
Quantization
RCMs will be used later in the project to provide gridded input data to the CHyM hydrological model for future projections under climate change scenarios
I have obtained experience with:
We have assessed the performance of 9 RCMs over 9 regions for precipitation:
I performed more than 100 model simulations over the EURO-CORDEX domain in both Argo and CINECA's Marconi A1/A2
CHyM Is a distributed (gridded) hydrological model. Peculiarities:
Successes so far:
Failures so far:
CHyM default Italian DEM is 300m in resolution, we wanted to try higher resolution DEMs:
New HR DEM is able to reconstruct the river network at low model resolutions (900m)
CHyM-OP reproduced domains:
CHyM-OP reproduced domains:
How to estimate hundred-years floods with only a few (~20) years worth of data?
The methodology is taken from Maione et al., 2003
Annual maxima
Gumbel extreme value distribution
Fit parameters
SDH: "Typical" flood timing curve for each river cell
LISFLOOD-FP input data
Widely-used flood inundation model from the University of Bristol (Bates et al., 2010)
An R/Leaflet tool for flood, river, DEM, basin and station visualization
Click_edit: an R/Shiny tool for WYSISYG editing of NetCDF files
The European mountain cryosphere: A review of past, current and future issues; M. Beninston et al.; The cryosphere; in review
Precipitation:
Gridded netCDF:
hydrological model
For each RP, cell:
Statistical RP analysis
LISFLOOD-FP model
For each RP, cell:
(multiple simulations)
Validation for