Chapter 20
INTERNAL METRICS DEFINITION FOR
OPERATIONAL FORECAST SYSTEMS INTERCOMPARISON: EXAMPLE IN THE NORTH
ATLANTIC AND MEDITERRANEAN SEA
Laurence Crosnier, Christian Le Provost, and the MERSEA-strand1 team
MERCATOR OCEAN, Ramonville St Agne, France.
Abstract :
The European MERSEA and international GODAE projects have built a
common methodology for real-time inter-comparison of forecast systems.
Internal metrics, i.e. a mathematical definition of chosen diagnostics, are
defined and aim at testing the consistency, quality and performance of each
system. They are sorted into four classes (Class 1 to 4) and described here for
the North Atlantic basin and the Mediterranean Sea. Possible use of such
metrics and comparison to existing litterature is also briefly described.
Keywords: MERSEA, GODAE, internal metrics, inter-comparison, North Atlantic,
Mediterranean Sea.
1.
Introduction: MERSEA framework
The European project MERSEA conducts a real time inter-comparison of
5 operational forecast systems for the North Atlantic and Mediterranean
basins, gathering in alphabetical order: FOAM from UK, HYCOM-US from
USA, MERCATOR from France, MFS from Italy and TOPAZ from
Norway.
MERSEA
project
has
developped
a
web
site:
http://www.mersea.eu.org. Its final aim is to build a European GMES
(Global Monitoring for Environment and Security) operational system in
2008. MERSEA teams have built a common methodology, defining a
common grid on to interpolate their outputs and internal metrics which aim
at testing the consistency, quality and performance of each system.
455
E. P. Chassigne and J. Verron (eds.), Ocean Weather Forecasting, 455-465.
© 2006 Springer. Printed in the Netherlands.