Chapter 16
OCEAN PREDICTION WITH THE HYBRID
COORDINATE OCEAN MODEL (HYCOM)
Eric P. Chassignet
1
, Harley E. Hurlburt
2
, Ole Martin Smedstad
3 , George R.
Halliwell
1 , Patrick J. Hogan
2
, Alan J. Wallcraft
2 , and Rainer Bleck
4
1 RSMAS/MPO, University of Miami, Miami, Florida, USA;
2 Naval Research Laboratory,
Stennis Space Center, Mississippi, USA;
3 Planning Systems Inc., Stennis Space Center,
Mississippi,USA;
4 Los Alamos National Laboratory, Los Alamos, New Mexico, USA
Abstract:
This chapter provides an overview of the effort centered on the HYbrid
Coordinate Ocean Model (HYCOM) to develop an eddy-resolving, real-time
global and basin-scale ocean prediction system in the context of the Global
Ocean Data Assimilation Experiment (GODAE).
Keywords: HYCOM, GODAE, LAS, data assimilation, metrics.
1.
Introduction
A broad partnership of institutions
1 is presently collaborating in
developing and demonstrating the performance and application of eddyresolving, real-time global and basin-scale ocean prediction systems using
the HYbrid Coordinate Ocean Model (HYCOM). The plan is to transition
these systems for operational use by the U.S. Navy at both the Naval
Oceanographic Office (NAVOCEANO), Stennis Space Center, MS, and the
Fleet Numerical Meteorology and Oceanography Center (FNMOC),
Monterey, CA, and by NOAA at the National Centers for Environmental
Prediction (NCEP), Washington, D.C. The partnership is also the eddyresolving global ocean prediction system development effort that is
sponsored by the U.S. component of the Global Ocean Data Assimilation
Experiment (GODAE). GODAE is a coordinated international effort
envisioning “a global system of observations, communications, modeling,
and assimilation that will deliver regular, comprehensive information on the
state of the oceans, in a way that will promote and engender wide utility and
availability of this resource for maximum benefit to the community”. Three
1 U. of Miami, NRL, Los Alamos, NOAA/NCEP, NOAA/AOML, NOAA/PMEL, PSI,
FNMOC, NAVOCEANO, SHOM, LEGI, OPeNDAP, U. of North Carolina, Rutgers, U.
of South Florida, Fugro-GEOS, ROFFS, Orbimage, Shell, ExxonMobil
413
E. P. Chassignet and J. Verron (eds.), Ocean Weather Forecasting, 413-426.
© 2006 Springer. Printed in the Netherlands.
OCEAN PREDICTION WITH THE HYBRID
COORDINATE OCEAN MODEL (HYCOM)
Eric P. Chassignet
1
, Harley E. Hurlburt
2
, Ole Martin Smedstad
3 , George R.
Halliwell
1 , Patrick J. Hogan
2
, Alan J. Wallcraft
2 , and Rainer Bleck
4
1 RSMAS/MPO, University of Miami, Miami, Florida, USA;
2 Naval Research Laboratory,
Stennis Space Center, Mississippi, USA;
3 Planning Systems Inc., Stennis Space Center,
Mississippi,USA;
4 Los Alamos National Laboratory, Los Alamos, New Mexico, USA
Abstract:
This chapter provides an overview of the effort centered on the HYbrid
Coordinate Ocean Model (HYCOM) to develop an eddy-resolving, real-time
global and basin-scale ocean prediction system in the context of the Global
Ocean Data Assimilation Experiment (GODAE).
Keywords: HYCOM, GODAE, LAS, data assimilation, metrics.
1.
Introduction
A broad partnership of institutions
1 is presently collaborating in
developing and demonstrating the performance and application of eddyresolving, real-time global and basin-scale ocean prediction systems using
the HYbrid Coordinate Ocean Model (HYCOM). The plan is to transition
these systems for operational use by the U.S. Navy at both the Naval
Oceanographic Office (NAVOCEANO), Stennis Space Center, MS, and the
Fleet Numerical Meteorology and Oceanography Center (FNMOC),
Monterey, CA, and by NOAA at the National Centers for Environmental
Prediction (NCEP), Washington, D.C. The partnership is also the eddyresolving global ocean prediction system development effort that is
sponsored by the U.S. component of the Global Ocean Data Assimilation
Experiment (GODAE). GODAE is a coordinated international effort
envisioning “a global system of observations, communications, modeling,
and assimilation that will deliver regular, comprehensive information on the
state of the oceans, in a way that will promote and engender wide utility and
availability of this resource for maximum benefit to the community”. Three
1 U. of Miami, NRL, Los Alamos, NOAA/NCEP, NOAA/AOML, NOAA/PMEL, PSI,
FNMOC, NAVOCEANO, SHOM, LEGI, OPeNDAP, U. of North Carolina, Rutgers, U.
of South Florida, Fugro-GEOS, ROFFS, Orbimage, Shell, ExxonMobil
413
E. P. Chassignet and J. Verron (eds.), Ocean Weather Forecasting, 413-426.
© 2006 Springer. Printed in the Netherlands.