feature oriented analysis for high-resolution observations in shallow waters of sneb

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Feature Oriented Analysis for high-resolution observations in shallow waters of SNEB Avijit Gangopadhyay University of Massachusetts Dartmouth Email: avijit@umassd. edu In collaboration with the NRL- Stennis group Funded by NASA and ONR

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Feature Oriented Analysis for high-resolution observations in shallow waters of SNEB. Avijit Gangopadhyay University of Massachusetts Dartmouth Email: [email protected] In collaboration with the NRL-Stennis group Funded by NASA and ONR. OUTLINE. Feature Oriented Regional Modeling - PowerPoint PPT Presentation

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Page 1: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Feature Oriented Analysis for high-resolution observations in

shallow waters of SNEB

Avijit Gangopadhyay

University of Massachusetts Dartmouth

Email: [email protected]

In collaboration with the NRL-Stennis group

Funded by NASA and ONR

Page 2: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

OUTLINE

• Feature Oriented Regional Modeling

• Concept -- Initialization/Synthesis Methodology

• Vertical Structure of Features via EOFs

• Shallow water applications – MODIS

• Feature oriented data synthesis…..

Page 3: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Gulf Stream Front and Ring Analysis

Page 4: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB
Page 5: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB
Page 6: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB
Page 7: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Features in Western North Atlantic

• Gulf Stream

• Warm Core Rings

• Cold Core Rings

• Southern Recirculation Gyre

• Northern Recirculation Gyre

• Deep Western Boundary Current

• Gangopadhyay et al., 3-part series in 1997: Journal of Atmospheric and Oceanic Tech. (14) 1314:1365

• Maine Coastal Current• NEC Inflow• GSC Outflow• Jordan Basin Gyre• Wilkinson Basin Gyre• Georges Basin Gyre• Georges Bank Gyre• Tidal Mixing Front• Gangopadhyay et al. 2002

(Continental Shelf Res. In Press)• Gangopadhyay and Robinson,

2002: DAO 36(2002) 201-232

Deep Sea region (GSMR) Coastal region (GOMGB)

Page 8: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Table I. List of GOMGB features and selected studies

Features Selected Studies

Maine Coastal Current(including Great South Channel Outflow)

Beardsley et al. (1985), Bisagni et al. (1996), Brooks(1987, 1990, 1994), Brooks and Townsend (1989),Chapman and Beardsley (1989), Holboke and Lynch(1995), Mavor and Huq (1996), Mountain and Manning(1994), Lynch et al. (1992, 1996, 1997), Lynch (1999),Naimie et al. (1994), Naimi (1995,1996), Smith (1989).

Gorges Bank Anticyclonic circulation,Tidal Fronts

Loder et al. (1992), Butman and Beardsley (1987),Butman et al. (1987), Bisagni et al. (1996), Flagg(1987), Houghton et al. (1982).

Jordan Basin Gyre Brooks (1987), Pettigrew et al. (1998), Wright et al.(1986), Beardsley et al. (1997).

Wilkinson Basin Circulation Brown and Beardsley (1978), Brown and Irish (1992,1993), Brown (1998a), Mountain and Jessen (1987).

Georges Basin Gyre Brooks, (1985), Wright et al. (1986), Beardsley et al.(1997), Pettigrew et al. (1998), Xue et al. (2000).

North East Channel Inflow Brooks (1987), Ramp et al. (1985), Bisagni and Smith(1998)

Abbreviations:GOMGB : Gulf of Maine and Georges Bank

MCC : Maine Coastal CurrentGSC : Great South ChannelTMF : Tidal (Mixing) FrontJBG : Jordan Basin GyreWBG : Wilkinson Basin GyreGBG : Georges Basin GyreNEC : North East Channel

Page 9: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

T(x,y,z)=Ta(x,z)+(x,z)(y)where,Ta(x,z)={[T0(x)-Tb(x)](x,z)

+Tb}

U(x,y,z)=(y){[UT(x)-UB(x)](x,z)+ UB(x)}

Page 10: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Tss(x,y,Z) = Tsh + (Tsl – Tsh) m(,Z)

m(,Z) = ½ + ½ tanh[(-.Z)/]

=tan

Where, m is the melding function:

Page 11: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

In general, a coastal current (CC), a front (SSF) and an eddy/gyre (E/G) are represented by:

CC: TM(x, η, z) =TMa(x, z)+ αM(x, z) M(η)

 

SSF: Tss(x, y, z) = Tsh (x, z) + (Tsl (x, z) – Tsh(x, z)) (, z)

 

E/G T(r, z) = Tc (z) - [Tc (z) - Tk (z) ] {1-exp(-r/R)}

 where, TM

a(x, z), Tsh (x, z) and Tc (z) are axis, shelf and core

(η) = (0 W)

(, z) = ½ + ½ tanh[(-.Z)/] 

Page 12: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Strategy for GOMGB

MCC WBG JBG GBG GBAG TMF SSF Inflow/Outflow

Page 13: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

FORMS Protocol

• Identify Circulation and Water mass features• Regional Synthesis -- Processes from a modeling

perspective• Synoptic Data sets -- in-situ and satellite• Regional Climatology (Background Circulation)• OA (Climatology + Feature Models)• Simulation -- Nowcasting/Forecasting

Page 14: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

FORMS Applications in Different Oceans

• Western north Atlantic – Operational modeling in GOMGB – AFMIS-RFAC

• Strait of Sicily – Dynamical analysis• Monterey Bay real-time forecasting with ROMS –

AOSN-II in summer 2003 -- Upwelling• Brazil Current Meander-eddy-Upwelling System• Persian Gulf, Arabian Sea – Rapid response• Chilean Waters – Northern Humboldt Current –

Biophysical modeling

Page 15: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Feature oriented methodology is applicable to ALL different

Numerical Models • MOM (Modular Ocean Model)

• POP (Parallel Ocean Program)

• ROMS (Regional Ocean Model System)

• POM (Princeton Ocean Model)

• MIT GCM

• HOPS (Harvard Ocean Prediction System)

• Finite Element / Finite Volume modelsIt is an Initialization and Assimilation Methodology

Page 16: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB
Page 17: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB
Page 18: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Strait of Sicily Feature Oriented Regional Modeling Set Up

Page 19: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB
Page 20: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Persian Gulf: FM+Climatology

Page 21: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Southern CaliforniaCoastalregion

Page 22: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Humboldt Current System

Page 23: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Meander-eddy-Upwelling System

Page 24: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

The Hardest Work of All!!

SEC

IWBC

Page 25: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

OBJECTIVELY BASED FEATURE MODEL

• Wilkinson basin water masses

• Brooks June 1982 data

• Cluster model of water masses

• EOF vertical analysis

• Feature model of vertical temperature and salinity

Page 26: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Brooks 1982 June survey in Wilkinson Basin

Page 27: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

T,S Diagram

Page 28: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

CLUSTER MODEL

Distance function

 

222nnnD dSTF

dcnScnTcn ddSSTT /,/,/ where

Page 29: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Water mass Ellipsoids

Page 30: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Explained Percent Variance

No. of Modes Included

Page 31: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

The 1997 PRIMER IV

Field experiment

To-be-analyzed via Cluster-EOF analysis with NRL-Stennis team

Page 32: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Shallow water feature models

• Use of ‘intelligent observations’ that are important to resolve the scales and represent the underlying dynamical processes

• Not only temperature-salinity structure, but include first-order dynamics

• Process-oriented feature models

Page 33: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Upwelling

• Wind speed and direction at highest available resolution from QuikScat

• Mixed-layer depth estimate from MODIS• Infer the Ekman Current in the Upper Mixed layer• Additional baroclinic currents may be added for

coastally trapped waves or alongshore currents• Monterey Bay in Summer 2003, Vietnamese shelf

in summer 2003, Brazil Current - Cape Frio upwelling region in austral summer 2003.

Page 34: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Transient feature models

• Coastal filaments, jets, squirts and eddies• Automated gradient-detection algorithm (Cayula

and Cornillon, 1995)• Small scales (1-100 km) and short-life (20-40

days)• Spatial and temporal dependence of FM

parameters• Low vs. high chlorophyll regions (Chan, 1999)

Page 35: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Feature tracking in shallow coastal regions

• MODIS instrument on Terra and Aqua

• Resolution ~ 250 meters (1-km globally)

• Temperature precision – 0.3-0.5K

• Navigational accuracy – 50 meters per pixel

• Moving mesh algorithm (Rowley and Ginis, 1999) ; Wavelet approach (Liu et al., 2002)

• Monterey Bay application – SNEB?

Page 36: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

MODIS chlorophyll on July 23, 2002 for southern California from Terra (left) at 1815 GMT, and the same field from Aqua (right) at 2115 GMT. A feature-tracking algorithm that uses the chlorophyll field as tracer will deduce the surface currents, which can be assimilated in the Navy’s modeling system. [Courtesy:Ron Vogel, http://www.modis-ocean.gsfc.nasa.gov/whatsnew.html]

Page 37: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Application to CODAR

• Pair of HF radars for measuring surface currents in our coastal regions

• Virtually continuous surface currents at ~1km resolution over tens of kilometers

• Tides, Baroclinic components, barotopic component, wind-driven component

• Vertical Projection Method (Shen and Evans, 2001) obtains subsurface current structure within the Ekman Layer from CODAR and wind obs. – Extend this method to include baroclinic structure – with NRL-DC

• Assimilation in parts in a dynamical model – POM in GOMOOS and ROMS-3Dvar in Monterey Bay

Page 38: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

CONCLUSIONS

• Synthesis of Multi-sensor observational system: Satellite (SST, SSH, SSC), in-situ, CODAR -- using feature-oriented approach

• Feature Tracking -- High resolution data fusion (X-Band) 0.25 km MODIS data assimilation

• EOF analysis for Vertical Structure determination

Page 39: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Thank You!!

Page 40: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

MODAS

Page 41: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

High-resolution scales in FM

Page 42: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Future Directions

Page 43: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Future Directions

Page 44: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

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EOF Analysis

Page 45: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Reconstructed mean temperature

Number of Modes

Page 46: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Error of reconstructed mean temperature

Depth (m)

Page 47: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

DMSP

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NPP

DMSP

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DMSP-II

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Future Missions – NASA/NOAA/DoD sponsoredFuture Missions – NASA/NOAA/DoD sponsored

0730-1030

FY 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18

Page 48: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

http://aqua.gsfc.nasa.gov/

EOS – AquaEOS – Aqua

Page 49: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Characteristics Channels: 36 (visible, near-, and thermal-infrared) Resolution: 2 @ 0.25km, 5 @ 0.5km, 29 @ 1.0km Data Rate: 13.125mbps Revisit: 2 Days Swath: 1780km

Compare to NOAA-AVHRR

Channels: 5 (VIS,IR,WV) Resolution: 1.1km Data Rate: 680kbps Revisit: 2 Days Swath: 3000km

MODIS - MODIS - Moderate-resolution Imaging Spectroradiometer

(Double-click the image to animate)

Page 50: Feature Oriented Analysis for  high-resolution observations in  shallow waters of SNEB

Feature Oriented Data Synthesis

• Satellite Oceanography is here and more coming!!

• Multiple Satellites -- multiple variables are being sensed for the same piece of ocean simultaneously!!

• SST, SSH, SSC -- SSS coming soon!

• High Resolution data in coastal regions -- MODIS, Aqua, Oceansat, FY-1