Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Info
iconfalse
titleTable of Contents

Table of Contents
maxLevel4

Easy Heading Macro
navigationExpandOptioncollapse-all-but-headings-1-2

Acronyms

Expand
titleClick here to expand the list of acronyms


Acronym

Description or definition

C3S

Copernicus Climate Change Service

CDS

Climate Data Store

CII

Climate Impact Indicator

E-HYPE

European setup of the HYPE (Hydrological Predictions
for the Environment) model

E-HYPEcatch

European setup of the HYPE (Hydrological Predictions
for the Environment) model, catchment resolution

E-HYPEgrid

European setup of the HYPE (Hydrological Predictions
for the Environment) model, 5km grid resolution

ECMWF

European Centre for Medium-Range Weather Forecasts

EFAS-Meteo

European Flood Awareness Systems (EFAS)
Meteorological data set

GCM

Global Climate Model

QA

Quality Assurance

RCM

Regional Climate Model

RCP

Representative Concentration Pathway

VIC

Variable Infiltration Capacity (VIC) hydrological model


...

E-HYPEcatch is the original E-HYPE model with irregular polygons that delineate the sub-catchment. The shape files for the E-HYPEcatch models can be found here: {_}{+}http://doi.org/10.5281/zenodo.581451+_Image Removed.

In order to account for the uncertainty in the estimated model parameters, a multi-model ensemble was generated. This was performed by first identifying the most sensitive parameters for the model calibrated using the procedure described in Hundecha et al. (2020). The dominant soil and land use parameters corresponding to the eight catchment groups, along with the general parameters were sampled using the SAFE sensitivity and uncertainty analysis toolbox (Pianosi et al. 2015) to generate 10000 randomly distributed samples with the latin hypercube strategy. The model performance was assessed in terms of NSE.

...