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Feature Oriented Regional Modeling System (FORMS)

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Feature Oriented Regional Modeling System (FORMS) as a synthesis component of the Global and Coastal IOOS Avijit Gangopadhyay University of Massachusetts Dartmouth – PowerPoint PPT presentation

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Title: Feature Oriented Regional Modeling System (FORMS)


1
Feature Oriented Regional Modeling System (FORMS)
as a synthesis component of the Global and
Coastal IOOS
  • Avijit Gangopadhyay
  • University of Massachusetts Dartmouth
  • Email avijit_at_umassd.edu
  • Seed funded by NASA

2
OUTLINE
  • Feature Oriented Regional Modeling
  • Concept -- Initialization/Synthesis Methodology
  • Example of Strategy in Sicily Strait
  • Shallow water applications CCS
  • Global Applications
  • Feature oriented synthesis..

3
Gulf Stream Front and Ring Analysis
2/11/02
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6
Features in Western North Atlantic
Deep Sea region (GSMR)
Coastal region (GOMGB)
  • 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)
    13141365
  • 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. 2003 Continental Shelf Res.
    23(3-4), 317-353
  • Gangopadhyay and Robinson, 2002 DAO 36(2002)
    201-232

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8
U(x,y,z)?(y)UT(x)-UB(x)?(x,z) UB(x)
T(x,y,z)Ta(x,z)?(x,z)?(y) where, Ta(x,z)T0(x)
-Tb(x)?(x,z) Tb
9
In general, a coastal current (CC), a front (SSF)
and an eddy/gyre (E/G) are represented
by CC TM(x, ?, z) TMa(x, z) aM(x, z) ?M(?)
  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,
TMa(x, z), Tsh (x, z) and Tc (z) are axis,
shelf and core ?(?) ?? (0 ? ? ? W) ?(?,
z) ½ ½ tanh(?-?.Z)/?  
10
Strategy for GOMGB
Feature Models at feature locations Regional
Climatology FORMS
MCC, WBG, JBG, GBG, GBAG, TMF, SSF, Inflow/Outflow
11
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)
  • Objective Analysis (Climatology Feature Models)
  • Simulation -- Nowcasting/Forecasting

12
Feature oriented methodology is applicable to ALL
different Numerical Models
  • MOM (Modular Ocean Model)
  • ROMS (Regional Ocean Model System)
  • POM (Princeton Ocean Model)
  • HYCOM
  • MIT GCM
  • HOPS (Harvard Ocean Prediction System)
  • Finite Element / Finite Volume models

It is an Initialization and Assimilation
Methodology
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15
Strait of Sicily Feature Oriented Regional
Modeling Set Up
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17
FORMS Applications in Different Oceans
Ocean Application
Western North Atlantic Operational Modeling, e.g. AFMIS-RFAC
Strait of Sicily Dynamical Analysis
Monterey Bay Real-time forecasting w/ ROMS AOSN-II in summer 2003 upwelling
Brazil Current Meander-eddy-Upwelling Interaction
Persian Gulf, Arabian Sea, Red Sea Monsoonal FORMS
Chilean Waters - Northern Humboldt Currents Nested Biophysical Modeling
18

19
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

20
Arabian Sea - Persian Gulf Red Sea
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22
Meander-eddy-Upwelling System
23
Elements of Synthesis
  • Synthesis of Multi-sensor observational system
    Satellite (SST, SSH, SSC), in-situ, CODAR --
    using feature-oriented approach
  • Process-oriented shallow water feature models
  • Feature Tracking -- High resolution data fusion
  • EOF analysis for Vertical Structure determination
    (Warn-Varnas et al., 2004)
  • High-resolution regional climatology
  • Dynamical Adjustment via Models -- FORMS

24
Some more thoughts
  • Feature-oriented method allows for strategic
    deployment of available resources
  • It optimizes (possibly maximizes) return on
    investments (ROIs)
  • The returns are not only in but in science,
    too
  • Minimizes human involvement (loss) because its
    a knowledge-based system

25
Thank You!!www.smast.umassd.edu/modeling/
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