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metadata processing services. The VERCE gateway offers to the users the inter-
active access to the data stored within the nodes of the federation. The GUI is based
on the open-source iRODS/web software. 7
17.4 The DRIHM Science Gateway
Predicting weather and climate and its impacts on the environment, including
hazards such as floods and landslides, is still one of the main challenges of the 21st
century with signi
cant societal and economic implications. At the heart of this
challenge lies the ability to have easy access to hydrometeorological data and
models, and to facilitate the collaboration among meteorologists, hydrologists, and
Earth science experts for accelerated scienti
c advances in hydrometeorological
research (HMR).
The Distributed Research Infrastructure for Hydro-Meteorology (DRIHM, http://
www.drihm.eu ) project aims at setting the stage for a new way of doing HMR
combining expertise in this
field with those in Grid, Cloud, and HPC (Schiffers
2011).
In particular one of the main goals is the development of a science gateway
(Danovaro 2014) able to drive HMR towards new solutions and improved
approaches for daily work through:
the provisioning of integrated HMR services (such as meteorological models,
hydrological models, stochastic downscaling tools, decision support systems,
observational data) enabled by uni
￿
ed access to and seamless integration of
Cloud, Grid, and HPC facilities
in such a way that it is
possible to solve substantially larger, and therefore scienti
the e-infrastructure
cally more inter-
esting, HMR problems;
the design, development and deployment of user-friendly interfaces aiming to
abstract HMR service provision from the underlying infrastructural complexities
and speci
￿
c implementations;
the support for the user-driven
composition
of virtual facilities in the form of
￿
forecasting chains, composed by
heterogeneous models (Schiffers
2014), post-processing tools, decision support system models and data, also
with the objective of promoting the modeling activities in HMR community and
related disciplines.
Gridi
ed
DRIHM focuses on three suites of experiments devoted to forecast severe
hydrometeorological events over complex orography areas as well as to assess their
impact, and can be synthetized as:
￿
Experiment suite 1, incorporates numerical weather prediction (NWP) and
downscaling together with stochastic downscaling algorithms to enable the
7
http://code.renci.org/gf/project/irods.php .
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