earth systems coupling advanced algorithms worldwide nested applications high performance computing...

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Earth Systems Coupling Advanced Algorithms Worldwide Nested Application High Performance Computing Forecast Systems User Community Advanced Data Assimilation Observing Networks WRF Bio/Sed CODAR NE IOM CCS NPac NE EAC

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Earth SystemsCoupling

AdvancedAlgorithms

WorldwideNested Applications

High PerformanceComputing

Forecast Systems

UserCommunity

AdvancedData Assimilation

ObservingNetworks

WRF Bio/Sed

CODAR NE

IOM CCSNPacNE

EAC

Nbed

Advanced Algorithms

Fluid /sediment coupling

Vertical spline interpolation

Specialized split-explicit time-stepping

450 users from Academia ( ), Government ( ), and Companies ( )

http://marine.rutgers.edu/models/roms/index.php

Several Nested Grids in the North Atlantic

(Curchitser)

North Pacific1994-1999

L o n g B e a c h

B e a c h H a v e n

K ilo m ete rs

0 1 2

L itt le E g g In le t

C a b l e

N o d e AN ode B

L E O -1 5 R es ea rch

A rea

B r ig a n tin e

F ie ld S t a t io n

Mullica R iver

G r e a t

B a y

L E O -15 R esearch S ta tion s

B rigan tin eIn let

L an d andW etla nds1 m ete r 3 m ete rs6 m e ters10 m ete rs14 m ete rs16 m e ters18 m eters22 m ete rs

D ep th

LEO-15 LEO NJSOS

Longterm Ecosystem Observatory

30km x 30km 1998-2001

New Jersey ShelfObserving System

Satellites, Aircraft, SurfaceRADAR, Glider AUVs 300km x 300km

Beginning 2001

RUTGERSTHE STATE UNIVERSITY OF NEW JERSEY

3km x 3km1996-Present

Station Field

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

SeabreezeFront

42

41

40

39

38

37

36

SeabreezeFront

76 75 74 73 72 71 7042

41

40

39

38

37

36

NO Seabreeze

Comparison of Modeled and Observed Chlorophyll

No 3 NH4

Phyto -p la nkton

C hlo

Zoo -p la nkton

Detrita l N (sm a ll)

De trita l N (la rg e )

Nitrific a tio n

M ine ra li- za tio n

Up ta ke

Exc re tio n

Sinking

G ra zing

M o rta lity

Alka linity

C a rb ona te system

TIC

C o g a s e xc ha ng e

2

Detrita l C (sm

Detrita l C (lg )

Sed im ent

N2 NH4 No 3

De tritus (lg )

De tritus (sm )

O xic M ine ra liza tio nDe nitrific a tio n

Lo ss o ffixe d N

Updraft cells (yellow/white) drovestrong 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 wavespropagate along the thermocline(shown in blue).

WRF and ROMS/TOMS Coupling

Summer Supercell Test

(C. Moore)

Global NCOM: Australia and New Zealand

1/8 degree resolution

Sea Surface Height (cm) Nowcast: January 16, 2002

EAC

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 thelimits 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)

*

*