Supervisor: Erika Coppola
ADRIANO.FANTINI@phd.units.it
Precipitation:
Gridded netCDF:
hydrological model
For each RP, cell:
Statistical RP analysis
CA2D 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
Presented at HyMeX workshop; Barcelona, 2017
Rauthe et al. 2013; A Central European precipitation climatology–Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS)
Isotta et al. 2013; The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge data
Perry et al., 2009; The generation of daily gridded datasets of temperature and rainfall for the UK
Hiebl et al., 2017; Daily precipitation grids for Austria since 1961—development and evaluation of a spatial dataset for hydroclimatic monitoring and modelling
Rauthe et al. 2013; A Central European precipitation climatology–Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS)
Isotta et al. 2013; The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge data
Perry et al., 2009; The generation of daily gridded datasets of temperature and rainfall for the UK
Hiebl et al., 2017; Daily precipitation grids for Austria since 1961—development and evaluation of a spatial dataset for hydroclimatic monitoring and modelling
Rauthe et al. 2013; A Central European precipitation climatology–Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS)
Isotta et al. 2013; The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge data
Perry et al., 2009; The generation of daily gridded datasets of temperature and rainfall for the UK
Hiebl et al., 2017; Daily precipitation grids for Austria since 1961—development and evaluation of a spatial dataset for hydroclimatic monitoring and modelling
(by applying first-stage filtering procedures only)
Before | After | Diff | |
---|---|---|---|
Total valid values | 250M | 243M | -2.6% |
Total flags | 324468 | 58008 | -82.1% |
pr > Mean + 20SD | 3240 | 2538 | -21.7% |
pr > Median + 20IQR | 49753 | 22519 | -54.7% |
pr > 100 mm/h | 221822 | 711 | -99.6% |
Other softer flags | 49646 | 32240 | -35.1% |
FILTERED
ORIGINAL
REMOVED!
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.
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:
CHyM-OP reproduced domains:
CHyM-OP reproduced domains:
So far:
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
CA2D input data
After using LISFLOOD-FP, we switched to the food inundation model from Dottori and Todini, 2011
An R/Leaflet tool for flood, river, DEM, basin and station visualization
Click_edit: an R/Shiny tool for WYSISYG editing of NetCDF files
Precipitation:
Gridded netCDF:
hydrological model
For each RP, cell:
Statistical RP analysis
For each RP, cell:
(multiple simulations)
Validation for
CA2D model
adriano.fantini@phd.units.it
Precipitation:
Gridded netCDF:
hydrological model
For each RP, cell:
Statistical analysis
For each RP, cell:
(multiple simulations)
Validation and change for
CA2D hydraulic model
Based on Maione et al., 2003
(over nine domains)