Obtain original web presentation here:
https://slides.com/odineidolon/chym2019-2/fullscreen
This PDF version is of lower quality
Adriano Fantini
ICTP, Trieste, Italy
afantini@ictp.it
PR Change
Q Change
Mixed results over Italy in the literature:
Alfieri et al. (2015); Thober et al. (2018); Donnelly et al. (2017)
Hirabayashi et al. (2013); Rojas et al. (2012);
Two main goals:
Raw station data provided by Marco Verdecchia (CETEMPS):
Gridding method based on Delaunay polygons using SciPy's interpolate.griddata
Mohr M., 2008: New Routines for Gridding of Temperature and Precipitation Observations for seNorge.no
Mohr M., 2009: Comparison of versions 1.1 and 1.0 of gridded temperature and precipitation data for Norway
Velasquez N. et al., 2011: Rainfall distribution based on a Delaunay triangulation method
Strong points:
TIME
NUMBER OF STATIONS
Metrics:
Comparison with:
{
{
LD
HD
GRIPHO
E-OBS
HMR (rean.)
GRIPHO
ARCIS
E-OBS
Wrong outliers
Low station density datasets
Fantini A., Coppola E., Verdecchia M. and Giuliani G.:
‘GRIPHO: a gridded high-resolution hourly precipitation dataset over Italy’, in preparation
GRIPHO
E-OBS
HMR (rean.)
Two RegCM 4.6.1 12km EURO-CORDEX simulations run on ICTP's Argo and CINECA's Marconi clusters:
Thanks to James Ciarlo` for running part of the HadGEM driven simulation!
Does the model perform well?
Validation for precipitation + temperature:
CHyM is a distributed (gridded) hydrological model. Peculiarities:
Three PR drivers:
96 river network reconstruction tests for each region
(manual and automatic, with distance measures)
Po river example
Does the model perform well?
Validation only possible against a few discharge stations:
CHyM (GRIPHO)
CHyM (GRIPHO)
MEAN DISCHARGE
MEAN DISCHARGE CHANGE
MEAN PRECIP CHANGE
MEAN ANNUAL MAXIMUM DISCHARGE
Qymax DISCHARGE CHANGE
R95ptot PRECIP CHANGE