Application of HYCOM in Eddy- Application of HYCOM in Eddy- Resolving Global Ocean Resolving Global Ocean Prediction Prediction Community Effort: Community Effort: NRL, Florida State, U. of Miami, GISS, NOAA/NCEP, NOAA/AOML, NOAA/PMEL, PSI, FNMOC, NAVOCEANO, SHOM, LEGI, OPeNDAP, UNC, Rutgers, USF, Fugro-GEOS, Orbimage, Shell, ExxonMobil Presented by Harley Hurlburt Presented by Harley Hurlburt Naval Research Laboratory Naval Research Laboratory Stennis Space Center, MS USA Stennis Space Center, MS USA International GODAE Steering Team Meeting International GODAE Steering Team Meeting St. Johns, Newfoundland, Canada St. Johns, Newfoundland, Canada 7-9 August 2007 7-9 August 2007 Part of HYCOM/GODAE project sponsored by the National Ocean Partnership Program
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Application of HYCOM in Eddy-Resolving Global Ocean Prediction
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Application of HYCOM in Eddy-Application of HYCOM in Eddy-Resolving Global Ocean Resolving Global Ocean
PredictionPrediction
Community Effort:Community Effort: NRL, Florida State, U. of Miami, GISS, NOAA/NCEP, NOAA/AOML, NOAA/PMEL, PSI,
ExxonMobil Presented by Harley HurlburtPresented by Harley HurlburtNaval Research LaboratoryNaval Research Laboratory
Stennis Space Center, MS USAStennis Space Center, MS USA
International GODAE Steering Team MeetingInternational GODAE Steering Team MeetingSt. Johns, Newfoundland, Canada St. Johns, Newfoundland, Canada
7-9 August 20077-9 August 2007
Part of HYCOM/GODAE project sponsored by the National Ocean Partnership Program
Global Product Mid-Lat
Resolution
Vert. Coord.
Inputs Run By Actual or Target
Date
1/16 NLOM 7 km Layered
SSH, SST,
hydro, FNMOC
NOGAPS
Atmospheric
Forcing
NAVO OP 9/01-3/06
1/8 NCOM 1 15 km /z NAVO OP 2/06
1/32 NLOM 2 3.5 km Layered NAVO OP 3/06
1/12 HYCOM 3,5 7 km //z NAVO 2007
1/25 HYCOM 3.5 km //z NAVO 2011
Near Real-time demonstration
1/12 Atl. HYCOM 4,5 7 km //z NRL 2002
U.S. Navy Present and Planned Global Ocean Prediction Systems
OP = operational 1 High vertical resolution for mixed layer prediction. Assimilates SSH from NLOM via T and S synthetic profiles. Web page http://www.ocean.nrlssc.navy.mil/global_ncom2 Web page http://www.ocean.nrlssc.navy.mil/global_nlom3 Running in real time at NAVO. 4 Under the National Ocean Partnership Program (NOPP), 1/12 Atlantic HYCOM demo is running in near real-time. Includes the Mediterranean Sea. 5 Results at http://www.hycom.org (100Tb LAS server at FSU)
Results from Real-Time 1/12Results from Real-Time 1/12 Global Global HYCOM with NCODA Data AssimilationHYCOM with NCODA Data Assimilation
Sea Surface Height (SSH) in cm
NW Pacific SSH zoom on 12 Mar 2007 NAVOCEANO operational analysis of the Kuroshio front based on satellite AVHRR imagery is overlaid black segments are based on imagery > 4 days old
Global SSH on 23 Mar 2007Gray areas are ice covered
Global Regional Littoral Nearshore Near-term: through FY04 in R&D, FY04-FY08 operational, including transition 1/8 NCOM NCOM or SWAFS NCOM or SWAFS ADCIRC 15-16 km mid-lat resolution
4 - 8 km, larger regions
< 1 to 2 km res < 2 km resolution finite element
Mid-term: FY04 - FY08 in R&D, FY08 – FY12 operational, including transition 1/12 HYCOM HYCOM *NCOM or HYCOM ADCIRC 7 km mid-lat resolution
2 - 4 km, smaller regions
.5-1.5 km res < 1.5 km res
Long-term: FY09-FY12 in R&D, FY12 and beyond operational, including transition +1/25 HYCOM
Regional generally not needed
*NCOM or HYCOM ADCIRC
3 - 4 km mid-lat resolution
Not used 1km res 1 km res
*Hogan and Kindle CO-NESTS project will provide research results needed to make the
appropriate choice. An alternative model such as ROMS may also be considered. +1/25 HYCOM gives useful littoral resolution globally
Model Evaluation: Regional NCOMModel Evaluation: Regional NCOM
NCOM Regional (CCS) with SeaWifs
Chlorophyll
NCOM CCS
9 Km
J. Kindle (NRL)
Model Evaluation: Tide GaugesModel Evaluation: Tide Gauges
Global NCOM and HYCOM
Regional NCOM: Forced by NCOM and
HYCOM
Global HYCOM and NCOM nest represent Coastal Kelvin Wave Pulses More Accurately
J. Kindle (NRL)
Model CorrelationHYCOM .87NCOM .77
Boundaryvalues from CorrelationHYCOM .86NCOM .75
1Classes of Ocean Response to Atmospheric Forcing
Class Examples Implications 1. Strong, rapid (< a week), and direct
Surface waves, storm surges, and rapid variations within the upper mixed layer, beneath hurricanes, in coastal and equatorial upwelling, and often the onset of equatorial and coastal trapped waves
Forecasts are short range; limited by atmospheric predictive skill. Less sensitive to errors in the initial state; more sensitive to errors in forcing
2. Slower (weeks to months) and indirect
Mesoscale eddies, meandering currents, frontal locations, features related to flow instabilities on the mesoscale
Forecast skill up to a month or more; more sensitive to errors in the initial state; less sensitive to errors in forcing; ocean data assimilation is essential; variability statistics may be predicted via simulation
3. Slow (weeks to years) direct integrated response
El Nino; much of the tropical ocean circulation, gyres, persistent features associated with geometric and topographic constraints
Long range forecasts possible; sensitive only to errors in forcing on long time scales; nowcasting and forecasting feasible using ocean models with sparse ocean data
4. Free propagation of existing features (weeks to years)
Equatorial and coastal trapped waves, Rossby waves and stable isolated eddies generated under Classes 1, 2, and 3
Reduced sensitivity to onset mechanisms and extended forecast skill, weeks to years
1A 5th class includes tides and tsunamis that are (mostly) not in response to the atmosphere. Other classes are not considered here, e.g. most inertia-gravity waves and fine-scale flow instabilities that may result from atmospheric forcing. From Hurlburt et al. (2007); adapted from Hurlburt (1984).
Nested Shallow Water Forecasting Requirements To forecast Class 1 and Class 4 phenomena, a nested coastal
model needs the following more than ocean data assimilation - Accurate ocean model - Accurate atmospheric forcing - Accurate bottom topography - Accurate boundary conditions from a large scale model
o Outermost model with the finest resolution possible o Multiple nesting degrades accuracy
Memory of assimilated ocean data is quickly lost
- Adjoint valuable tool to maximize data impact - Ocean data is essential to evaluate and improve models