IWMO-2010, May 24 Fanghua Xu and Leo Oey Princeton University

Slides:



Advertisements
Similar presentations
Assimilation of Sea Surface Temperature into a Northwest Pacific Ocean Model using an Ensemble Kalman Filter B.-J. Choi Kunsan National University, Korea.
Advertisements

Wind-Driven Circulation in a Stratified Ocean Consider the ocean in several isopycnal layers that can be separated into two groups: Layers that outcrop.
Yu-Lin Eda Chang National Taiwan Normal University Critical wind condition and current reversals in the Taiwan Strait Co-author: L.-Y. Oey, Y.-C. Lin,
Preliminary results on Formation and variability of North Atlantic sea surface salinity maximum in a global GCM Tangdong Qu International Pacific Research.
Comparison of 4 Hindcast/Nowcast Results for 2010 Using PROFS (Princeton Regional Ocean Forecast System) # F.-H. Xu & L.-Y. Oey* Princeton University *
Using High Quality SST Products to determine Physical Processes Contributing to SST Anomalies A First Step Suzanne Dickinson and Kathryn A. Kelly Applied.
Application of Satellite Data in the Data Assimilation Experiments off Oregon Peng Yu in collaboration with Alexander Kurapov, Gary Egbert, John S. Allen,
High-Resolution Baroclinic Ocean Simulations for the East Florida Shelf: Frontal Eddies to Reef Scale Processes Jerome Fiechter and Christopher N.K. Mooers.
The South Atlantic Bight Cape Hatteras Cape Canaveral.
ROLE OF HEADLANDS IN LARVAL DISPERSAL Tim Chaffey, Satoshi Mitarai Preliminary results and research plan.
Physical Oceanographic Observations and Models in Support of the WFS HyCODE College of Marine Science University of South Florida St. Petersburg, FL HyCode.
The Subtropical Gyres: setting the stage for generating a more realistic gyre Ekman used an ideal, infinite ocean, no slopes in sea level, or variations.
Multiple-scale Variability in the Southern California Bight Oceanic Current System Changming Charles Dong Institute of Geophysical and Planetary Physics,
ROLE OF HEADLAND IN LARVAL DISPERSAL Satoshi Mitarai Preliminary results and research plan (Maybe for the next F3 meeting)
MODULATING FACTORS OF THE CLIMATOLOGICAL VARIABILITY OF THE MEXICAN PACIFIC; MODEL AND DATA. ABSTRACT. Sea Surface Temperature and wind from the Comprehensive.
Model engine: mpi-Princeton Ocean Model – 3D currents, T/S, SSH, turbulence KE (TKE) & length w/wave- breaking and Stokes drift TKE production; wave- enhanced.
Estuarine Variability  Tidal  Subtidal Wind and Atmospheric Pressure  Fortnightly M 2 and S 2  Monthly M 2 and N 2  Seasonal (River Discharge)
Agulhas Leakage: The Neglected Player in the Variability of the Atlantic Meridional Overturning Circulation Arne Biastoch In collaboration with Claus Böning.
Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.
Eda Selected Slides Tide Gauge.
Modeling Study of Frontal Variability in Drake Passage Bin Zhang 1 and John M Klinck 2 Model Description Regional Ocean Modeling System (ROMS) Dimensions:
Spatial coherence of interannual variability in water properties on the U.S. northeast shelf David G. Mountain and Maureen H. Taylor Presented by: Yizhen.
Effects of Ocean-Atmosphere Coupling in a Modeling Study of Coastal Upwelling in the Area of Orographically-Intensified Flow Natalie Perlin, Eric Skyllingstad,
The meridional coherence of the North Atlantic meridional overturning circulation Rory Bingham Proudman Oceanographic Laboratory Coauthors: Chris Hughes,
Characterization and causes of variability of sea level and thermocline depth in the tropical South Indian Ocean Laurie Trenary University of Colorado.
Temperature and Salinity Variabitlity on the Scotian Shelf and in the Gulf of Maine BRIAN PETRIE AND KENNETH DRINKWATER.
Streamlines. North Atlantic (surface) currents system.
ROMS User Workshop, Rovinj, Croatia May 2014 Coastal Mean Dynamic Topography Computed Using.
Progress on the Modification of Offshore Boundary Conditions for Full-Bay ROMS Simulations Have shown previously that ROMS simulations capture tides well,
Philippines-Taiwan Oscillation Y.-L. Eda Chang 1,2 and L.-Y. Oey /11/16 1.Princeton University 2.National Taiwan Normal University Outline: Tide.
Dale haidvogel Nested Modeling Studies on the Northeast U.S. Continental Shelves Dale B. Haidvogel John Wilkin, Katja Fennel, Hernan.
Spiciness anomalies generated in the SouthEast Pacific are subducted in the thermocline and flow in the SEC towards the SouthWest Pacific (Fig 1). The.
Assuming 16 cm standard deviation. The final result – 5 of these records were noisy Halifax Grand Banks Line W 4100 m 2700 m 3250 m 2250 m 1800 m.
Sara Vieira Committee members: Dr. Peter Webster
Improved ensemble-mean forecast skills of ENSO events by a zero-mean stochastic model-error model of an intermediate coupled model Jiang Zhu and Fei Zheng.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Towards a climatology of the SE US coastal ocean H. Seim, University of North Carolina at Chapel Hill L Leonard, University of North Carolina at Wilmington.
26°N observations of Overturning vs the Horizontal Gyre: compensation & recirculation Eleanor Frajka-Williams Stuart Cunningham, Gerard McCarthy, Darren.
Mixing From Stresses Wind stresses Bottom stresses Internal stresses Non-stress Instabilities Cooling Double Diffusion Tidal Straining Shear ProductionBuoyancy.
The Ocean General Circulation. Mean Circulation in the Ocean Gulf Stream.
Application of ROMS for the Spencer Gulf and on the adjacent shelf of South Australia Carlos Teixeira & SARDI Oceanography Group Aquatic Sciences 2009.
1) What is the variability in eddy currents and the resulting impact on global climate and weather? Resolving meso-scale and sub- meso-scale ocean dynamics.
Modeling the Gulf of Alaska using the ROMS three-dimensional ocean circulation model Yi Chao 1,2,3, John D. Farrara 2, Zhijin Li 1,2, Xiaochun Wang 2,
Role of the Gulf Stream and Kuroshio-Oyashio Systems in Large- Scale Atmosphere-Ocean Interaction: A Review Young-oh Kwon et al.
Near-surface recirculation over Georges Bank Author: Richard Limemurner and Robert C. Beardsley Author: Richard Limemurner and Robert C. Beardsley.
Examining the relationships between low-frequency upper ocean temperature and AMOC variability in ECCO v4 solutions Martha W. Buckley and Rui Ponte (AER)
1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct
Contributions to SST Anomalies in the Atlantic Ocean [Ocean Control of Air-Sea Heat Fluxes] Kathie Kelly Suzanne Dickinson and LuAnne Thompson University.
Coastal Oceanography Outline Global coastal ocean Dynamics Western boundary current systems Eastern boundary current systems Polar ocean boundaries Semi-enclosed.
LOCAL ENSEMBLE KALMAN FILTER (LETKF) ANALYSIS OF LOOP CURRENT & EDDY IN THE GULF OF MEXICO Fanghua Xu 1, Leo Oey 1, Yasumasa Miyazawa 2, Peter Hamilton.
MMS Mid-Atlantic Model Calculations Kick-Off Meeting Webex-Teleconference Feb/10/2009, 10am-12noon Agenda 10:00-10: Introduction - Walter Johnson.
A data-assimilated circulation model of the Northwestern Atlantic Ocean using the new mpi-version of the Princeton Ocean Model (mpiPOM) Fanghua Xu and.
AO-FVCOM Development: A System Nested with Global Ocean Models Changsheng Chen University of Massachusetts School of Marine Science, USA
Dmitry Dukhovskoy, Andrey Proshutinsky and Mary-Louise Timmermans Center for Ocean-Atmospheric Prediction Studies Florida State University Acknowledgement:
THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.
Inter-annual Simulation with the South Florida HYCOM Nested Model Roland Balotro, Villy Kourafalou and Alan Wallcraft 2005 Layered Ocean Model User’s Workshop.
Coupling ROMS and CSIM in the Okhotsk Sea Rebecca Zanzig University of Washington November 7, 2006.
Wind-driven halocline variability in the western Arctic Ocean
Application of FVCOM to the Gulf of Maine/Georges Bank:
Impacts of Climate and basin-scale variability on the seeding and production of Calanus finmarchicus in the Gulf of Maine and Georges Bank Avijit Gangopadhyay.
Gennady A. Platov, Elena N. Golubeva, Victor I. Kuzin
Coupled atmosphere-ocean simulation on hurricane forecast
Marie-Noëlle HOUSSAIS
Yi Xu, Robert Chant, and Oscar Schofiled Coastal Ocean Observation Lab
SAB Chlorophyll Variability Local vs. Remote Forcing
(Pinet) Major ocean current systems 4 Surface patterns extend as deep as 1000 m 5.
Adjoint Sensitivity Studies on the US East Coast
Altimeter sea level anomaly data in the Middle Atlantic Bight and the Gulf of Maine Assessment and application H. Feng1, D. Vandemark1, R. Scharroo2,
NASA Ocean Salinity Science Team Meeting , Santa Rosa, August 2018
Presentation transcript:

IWMO-2010, May 24 Fanghua Xu and Leo Oey Princeton University The origin of along-shelf pressure gradient (ASPG) in the Middle Atlantic Bight (MAB) IWMO-2010, May 24 Fanghua Xu and Leo Oey Princeton University

ASPG  10-8~10-7 drives mean along-shelf flow towards the southwest (Stommel and Leetmaa,1972; Csanady, 1976; Lentz, 2008);

16-yr run: y x MeanASPG Momentum Balance: 10km & 25 sigma levels CCMP3 winds Daily rivers M2 tide SSHA (H>1000m) & SST assimilations x y MeanASPG Here is the result from our model that shows ASPG. Describe also the GS, coastal current, slope-sea gyre. Add arrow-heads on contours to indicate flow directions. Make sure you know about the momentum balance that drives the alongshelf flow by ASPG. Momentum Balance: Include here the balance that drives the alongshelf current

Distance from Cape Hatteras ASPG=8.4e-8, Std=8.6e-8 Distance from Cape Hatteras R=-0.52 @ 1 month

Tide-gauge data EOF mode 1: 67% Careful to say that this is not MEAN – only the amplitudes of fluctuations. So in winter, ASPG swings to become +ve, while in summer it swings to be weak or –ve. This means that the TOTAL ASPG is strongly +ve in winter and weak and could even reverses to be –ve in summer.

What drive the seasonal and inter-annual variations? how and why? Previous Works: Due to offshore pressure field (Beardsley and Winant,1979)? But, pressure field not likely to penetrate onto the shelf (Wang, 1982; Chapman et al. 1986); Due to be rivers? This was questioned by Csanady (1979); Upstream transport? (Wang, 1982; Chapman et al. 1986). The origin of (mean) ASPG remains unclear (Lentz, 2008)… what is its origin? What drive the seasonal and inter-annual variations? how and why? Possible candidates: Winds GS path Rings Rivers Labrador transport

First describe the means here

1. The variability of Gulf Steam path

2. Wind stress curl:

3. The Gulf Stream warm-core rings

4. Upstream Transport: 2-year low pass (the dash line)

5. Rivers

The Correlation coefficients (R) and coefficients (S) at 95% significant level R/S Along-shelf currents ASPG --- -0.44/0.20 GS latitude shifts 0.32/0.12 0.21/0.17 Wind stress curl 0.34/0.09 0.18/0.12 Transport 0.43/0.18 -0.09/0.2 River input -0.41/0.10 0.16/0.13 Model EKE 0.01/0.04 0.10/0.04 -0.54/0.18 0.52/0.19

River with reduced transport 34% River only River with reduced transport 34% Wind only Reduced transport 17% Std:3e-8 (top left)

An Idealized simulation with 3 warm-core rings initialized every 360 days 1cm contour interval 35*60 =2100 days FFT analysis indicate the spectrum peak at 700 days.

Summary The total freshwater discharge and upstream transport mainly contribute to the mean ASPG setup. The changes of rivers, GS path shifts, wind stress, and EKE create the ASPG seasonality. The southwestward propagating Rossby waves and warm-core rings can influence ASPG and the shelf currents in both seasonal and inter-annual time scale.

Thank you! Questions?

The mean ASPG is the primary driving force to the mean depth-averaged along-shelf currents. (Beardsley and Boicourt (1981), Lentz (2008)

Literature review An ASPG, 10-8~10-7 must exist to drive the mean along-shelf flow towards the southwest (Stommel and Leetmaa,1972; Csanady, 1976; Lentz, 2008). The ASPG could be imposed by the offshore large-scale circulation (LSC) based on model results (Beardsley and Winant,1979). However, LSC is hard to penetrate to the shelf (Wang, 1982; Chapman et al. 1986). The ASPG could be produced by a major freshwater source, like the St. Lawrence system (Beardsley and Winant,1979). This was questioned by Csanady (1979). An upstream transport can contribute to the along-shelf currents (Chapman et al. 1986). However, the source of the inferred ASPG remains unclear.

Questions Why is the mean ASPG southwestward? Why are there seasonal and inter-annual variations in ASPG? Gulf Stream path shifts; Wind stress; Warm-core rings; Upstream (Labrador Sea) transport; Freshwater discharge. A Northwestern Atlantic Ocean Model (NWAOM) (Oct, 92~Dec, 08)

POM Princeton Regional Ocean Forecast System (PROFS) PROFS domain Curvilinear grid Grid size: Horizontal: ~10km Vertical: 25σ levels Mid-Atlantic Model: Winds, rivers & tides Nesting from PROFS Finer grid size: ~5km DA for GS & Eddies MA domain

NWAOM : Along shelf currents and Along shelf pressure gradient (ASPG) x y NWAOM : Along shelf currents and Along shelf pressure gradient (ASPG) R=-0.52, S=0.33 The pressure contours are parallel to the shelf break and slope but bend as they ‘leak’ onto the shelf. ASPG=8.4e-8, Std=8.6e-8 U=-0.015 m s-1 m/s Std=0.03 m/s

Rivers: 1992-2008 4 8 13 17 16 3 7 11&12 2 6 10 15 1 5 9 14