1. Earth Systems Coupling Advanced Algorithms Worldwide Nested Applications High Performance Computing Forecast Systems User Community Advanced Data Assimilation Observing Networks WRFBio/Sed CODARNE IOMCCS NPacNE EAC

2. Nbed Advanced Algorithms Fluid /sediment coupling Vertical spline interpolation Specialized split-explicit time-stepping

3. 450 users from Academia ( ), Government ( ), and Companies ( ) http://marine.rutgers.edu/models/roms/index.php

4. Several Nested Grids in the North Atlantic

5. (Curchitser) North Pacific 1994-1999

7. LEO-15 LEO NJSOS Longterm Ecosystem Observatory 30km x 30km 1998-2001 New Jersey Shelf Observing System Satellites, Aircraft, Surface RADAR, Glider AUVs 300km x 300km Beginning 2001 RUTGERS THE STATE UNIVERSITY OF NEW JERSEY 3km x 3km 1996-Present Station Field

8. Cycle 2 Sea Breeze Mesoscale Event – July 17 00:00 GMT, 48 hour forecast OP 48hr forecast EXP 48 hr forecast NWS Radar 07/17 22Z 1030 1025 1020 1015 1010 1005 1000 Seabreeze Front 42 41 40 39 38 37 36 Seabreeze Front 76 75 74 73 72 71 70 42 41 40 39 38 37 36 NO Seabreeze

9. Comparison of Modeled and Observed Chlorophyll

10. Updraft cells (yellow/white) drove strong convergent surface winds (white arrows) resulting in strong (2-3 m/s) surface currents. Surface height (color slice) variations of a half-meter over 20 km were observed, and waves propagate along the thermocline (shown in blue). WRF and ROMS/TOMS Coupling Summer Supercell Test ( C. Moore)

11. Global NCOM: Australia and New Zealand 1/8 degree resolution Sea Surface Height (cm) Nowcast: January 16, 2002 EAC

12. Inverse Modeling in the California Current System Deterministic fits of the physical (and biological) observations (inverse method strategy :allows the models to reach a dynamical consistent state, analysis of dynamical balances, eddies, transports …) a) Data Assimilation (assimilation to combine different data sources: CTD’s, ADCP, Satellite and others … to aid general studies of the California Current System) Southern California Model Grid [m] San Francisco San Diego Pt. Conception CalCOFI data array (50 years seasonal in situ obs.) * * Predictability of physics and biology (dynamical theory :investigate the limits of predictability timescale and the dynamical basis for predictability) Ecosystem response to physical forcing (ecosystem model analysis : to what degree is the biology dependent on the physics? What level of compexity is needed in the ecosystem?) Impacts of climate variability : El Niño (sensitivity model experiments : investigate the system response to changes of the mean state (eg. El Niños, Climate shifts …) b) c) d) * *