US GLOBEC-IV-B: Interannual Variability of the Circulation in the Gulf of Maine/Georges Bank: A Hindcast FVCOM Experiment for 1995-2006 C. Chen, R. C.

Slides:

Advertisements

Similar presentations

A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.

Advertisements

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

Using High Quality SST Products to determine Physical Processes Contributing to SST Anomalies A First Step Suzanne Dickinson and Kathryn A. Kelly Applied.

Indirect Determination of Surface Heat Fluxes in the Northern Adriatic Sea via the Heat Budget R. P. Signell, A. Russo, J. W. Book, S. Carniel, J. Chiggiato,

High-Resolution Baroclinic Ocean Simulations for the East Florida Shelf: Frontal Eddies to Reef Scale Processes Jerome Fiechter and Christopher N.K. Mooers.

Nesting. Eta Model Hybrid and Eta Coordinates ground MSL ground Pressure domain Sigma domain  = 0  = 1  = 1 Ptop  = 0.

Physical Oceanographic Observations and Models in Support of the WFS HyCODE College of Marine Science University of South Florida St. Petersburg, FL HyCode.

Rapid Update Cycle Model William Sachman and Steven Earle ESC452 - Spring 2006.

Nowcast/Forecast System of Prince William Sound, Alaska (PWS-NFS) INKWEON BANG CHRISTOPHER N.K. MOOERS OCEAN PREDICTION EXPERIMENTAL LABORATORY (OPEL)

ROMS Workshop October 24-26, 2005 Natalie Perlin, Eric Skyllingstad, Roger Samelson, Philip Barbour Natalie Perlin, Eric Skyllingstad, Roger Samelson,

High-resolution simulations of air-sea interaction in the Mediterranean Sea R. Justin Small, Travis Smith, Tim Campbell, Rick Allard, Jim Dykes Naval Research.

Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.

Extratropical Storm-Induced Coastal Inundation: Scituate, MA Robert C. Beardsley 1, Changsheng Chen 2, Qichun Xu 2, Jianhua Qi 2, Huichan Lin 2 2 School.

The Physical Modulation of Seasonal Hypoxia in Chesapeake Bay Malcolm Scully Outline: 1)Background and Motivation 2)Role of Physical Forcing 3)Simplified.

Physical Oceanography of Georges Bank and Its Impact on Biology Update – June 2004 Grant Period: 7/02-7/05 Bob Beardsley, Ken Brink, Dick Limeburner, Jim.

NOPP Project: Boundary conditions, data assimilation, and predictability in coastal ocean models OSU: R. M. Samelson (lead PI), J. S. Allen, G. D. Egbert,

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,

Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.

IGST Meeting June 2-4, 2008 The GMAO’s Ocean Data Assimilation & SI Forecasts Michele Rienecker, Christian Keppenne, Robin Kovach Jossy Jacob, Jelena Marshak.

Dataset Development within the Surface Processes Group David I. Berry and Elizabeth C. Kent.

Use of sea level observations in DMIs storm surge model Jacob L. Høyer, Weiwei Fu, Kristine S. Madsen & Lars Jonasson Center for Ocean and Ice, Danish.

In collaboration with: J. S. Allen, G. D. Egbert, R. N. Miller and COAST investigators P. M. Kosro, M. D. Levine, T. Boyd, J. A. Barth, J. Moum, et al.

Modelling the Ocean Response to a Tropical Cyclone on Australia's Northwest Shelf Madeleine Cahill, CMAR Peter Craig, CMAR Mike Herzfeld - CMAR Lou Mason.

Higher Resolution Operational Models. Operational Mesoscale Model History Early: LFM, NGM (history) Eta (mainly history) MM5: Still used by some, but.

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.

Imposed versus Dynamically Modeled Sea Ice: A ROMS study of the effects on polynyas and waters masses in the Ross Sea John M. Klinck, Y. Sinan Hüsrevoglu.

The Gulf of Maine Integrated Model System: A Hindcast Experiment from 1995 to 2006 The UMASSD Team: C. Chen, G. Cowles, S. Hu, Q. Xu, P. Xue and D. Stuebe.

Shuyi S. Chen Joseph Tenerelli, Wei Zhao, Mark Donelan Rosenstiel School of Marine and Atmospheric Science University of Miami Coupled Atmosphere-Wave-Ocean.

Progress Report of the Gulf of Maine Integrated Model System The UMASSD Team: C. Chen, G. Cowles, D. Stuebe, S. Hu, Q. Xu and P. Xue The WHOI Team: R.

Ensemble-based Assimilation of HF-Radar Surface Currents in a West Florida Shelf ROMS Nested into HYCOM and filtering of spurious surface gravity waves.

Application of ROMS for the Spencer Gulf and on the adjacent shelf of South Australia Carlos Teixeira & SARDI Oceanography Group Aquatic Sciences 2009.

Introduction to and validation of MM5/VIC modeling system.

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,

Hindcast Simulations of Hydrodynamics in the Northern Gulf of Mexico Using the FVCOM Model Zizang Yang 1, Eugene Wei 1, Aijun Zhang 2, Richard Patchen.

Evapotranspiration Estimates over Canada based on Observed, GR2 and NARR forcings Korolevich, V., Fernandes, R., Wang, S., Simic, A., Gong, F. Natural.

An Unstructured Grid, Finite-Volume Coastal Ocean Model (FVCOM), Global-Regional-Coastal-Estuarine Applications Robert C. Beardsley, Changsheng Chen and.

 one-way nested Western Atlantic-Gulf of Mexico-Caribbean Sea regional domain (with data assimilation of SSH and SST prior to hurricane simulations) 

Ocean Surface heat fluxes Lisan Yu and Robert Weller

Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.

1 Development of a Regional Coupled Ocean-Atmosphere Model Hyodae Seo, Arthur J. Miller, John O. Roads, and Masao Kanamitsu Scripps Institution of Oceanography.

Effect of the Gulf Stream on Winter Extratropical Cyclones Jill Nelson* and Ruoying He Marine, Earth, and Atmospheric Sciences, North Carolina State University,

Numerical Investigation of Air- Sea Interactions During Winter Extratropical Storms Presented by Jill Nelson M.S. Marine Science Candidate Graduate Research.

CHANGSHENG CHEN, HEDONG LIU, And ROBERT C. BEARDSLEY

Recent advancements of a Cariaco Basin ROMS model nested in global HYCOM Aida Alvera-Azcárate, Alexander Barth and Robert H. Weisberg Ocean Circulation.

The I nverse R egional O cean M odeling S ystem Development and Application to Variational Data Assimilation of Coastal Mesoscale Eddies. Di Lorenzo, E.

Ocean Biological Modeling and Assimilation of Ocean Color Data Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Assimilation Objectives:

1 A multi-scale three-dimensional variational data assimilation scheme Zhijin Li,, Yi Chao (JPL) James C. McWilliams (UCLA), Kayo Ide (UMD) The 8th International.

Interannual to decadal variability of circulation in the northern Japan/East Sea, Dmitry Stepanov 1, Victoriia Stepanova 1 and Anatoly Gusev.

Physical Oceanography of Georges Bank and Its Impact on Biology Update - November 2003 Grant Period: 7/02-7/05 Bob Beardsley, Ken Brink, Dick Limeburner,

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.

An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.

Demonstration and Comparison of Sequential Approaches for Altimeter Data Assimilation in HYCOM A. Srinivasan, E. P. Chassignet, O. M. Smedstad, C. Thacker,

HYCOM data assimilation Short term: ▪ Improve current OI based technique Assimilate satellite data (tracks) directly Improve vertical projection technique.

AO-FVCOM Development: A System Nested with Global Ocean Models Changsheng Chen University of Massachusetts School of Marine Science, USA

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.

Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.

Modelling activities at Institute of Oceanography and Fisheries (IOF), Split within ADRICOSM-EXT project Gordana Beg Paklar Institute of Oceanography and.

US GLOBEC: Progress of the Gulf of Maine Integrated Model System The UMASSD Team: C. Chen, Q. Xu, S. Hu, Q. Xu, D. Stuebe, P. Xue and G. Cowles The WHOI.

Meteorological Variables 1. Local right-hand Cartesian coordinate 2. Polar coordinate x y U V W O O East North Up Dynamic variable: Wind.

Changsheng Chen 1, Guoping Gao 1, Andrey Proshuntinsky 2 and Robert C. Beardsley 2 1 Department of Fisheries Oceanography University of Massachusetts-Dartmouth.

Coupling ROMS and CSIM in the Okhotsk Sea Rebecca Zanzig University of Washington November 7, 2006.

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.

Kuang Fangfang, Pan Aijun, Zhang Junpeng

Coupled atmosphere-ocean simulation on hurricane forecast

By Cécile Renaudie (Météo France/SHOM)

Weather forecasting in a coupled world

John (Qiang) Wang, Paul G. Myers, Xianmin Hu, Andrew B.G. Bush

Heat Transport by the Atmosphere and ocean

Presentation transcript:

US GLOBEC-IV-B: Interannual Variability of the Circulation in the Gulf of Maine/Georges Bank: A Hindcast FVCOM Experiment for C. Chen, R. C. Beardsley, C. Davis and G. Cowles Participators: Q. Xu, S. Hu, D. Stuebe, J. Qi, H. Huang, D. Limeburner, R. Ji

Regional domain MM5 (resolution: 30 km) Non-hydrostatic Wind stress, heat flux, air pressure, precipitation via evaporation Local domain MM5 (resolution: 10 km) ETA (32 km) Hydrostatic Air stations Buoy data Satellite data Local network SST (9 km) Local buoys Assimilation Nested The Gulf of Maine/Georges Bank MM5 Weather Hindcast/Forecast Model System Local domain Regional domain Sites of Surface Buoys 1.Hindcast assimilation for years On-line forecast system

Phytoplankton P(i), i=1:np Light/temperatureAdvection/mixingRiver dischargesBoundary flux Y(i), i=1: ny (Auxiliary state variables) Nutrients N(i), i=1:nn Detritus D(i), i=1:nd Zooplankton Z(i), i=1:nz Bacteria B(i), i=1:nb DOM(i), i=1:nm

First Generation Second Generation Horizontal Resolution: km in the coastal region 31-sigma levels in the vertical Horizontal Resolution: km in the coastal region 31-sigma levels in the vertical

256 Processors (Intel 3.4 GHz Pentium 4) 256 Gigabytes RAM, Infiniband High Speed Network 7 Terabytes disk space Third generation of GOM FVCOM Horizontal resolution: m in the coastal region

Boston harbor area

Pre-processing of forcing data for the Gulf of Maine Model Local forcing: meso-scale surface wind stress and heat flux; Remote-forcing: upstream open boundary on the Scotian Shelf; Assimilated with the satellite-derived SST, hydrographic and current data;

Short-wave Long-wave Latent Sensible

The TOGA/COARE (TC) heat flux algorithm developed by Fairall et al. (1996, 2001): More accurate skin water temperature; Better paramterization of surface roughness; More realistic vertical profiles for stable and unstable weather conditions Accountable wind gustiness

Observed MRF-TC

Years:

Years:

March on the Scotian Shelf Boundary

March on the Scotian Shelf Boundary

No boundary T/S forcewith boundary T/S force August 95

RMS [Data - OA] Miss Fit Objective Analysis of SST: GOM ( ) Results for 1996 and 1997 Time series results at three locations:

SST OA time series Shelf Break Direct estimate of spatial correlation grid cells = 270km 3 OI iteration-reach the convergence

SST OA time series Georges Bank Direct estimate of spatial correlation

SST OA time series Gulf of Maine Direct estimate of spatial correlation

Annual Net Heat Flux

Mean Net Heat Flux for January-March

March 1998 March 1999

March 1998 March 1999

FVCOM Model Validation: Comparison with CMO Observations Time Frame: Aug 1996 to Jun 1997 Location: New England Shelf, SW of Nantucket # Moorings: 4 (Central, Alongshore, Inshore, Offshore) Oceanic Variables: velocity, temp, conductivity, bottom pressure, bottom stress. Atmospheric Variables: wind stress, heat flux, buoyancy flux. Steve Lentz’s data Cowles and Lentz’s work

Temperature (Celsius) during CMO Period at Central Site August June 1997 Observed FVCOM

Subtidal Surface Current During CMO: Observed (red) FVCOM (black) Along Isobath (Above, ~east) and Cross Isobath (Below, ~north)

On-going Physical Model Works Conducted the assimilation experiments using the OI and Ensemble Kalman Filters: [Rizzoli (MIT), Beardsley (WHOI) and Chen (UMASS)] Reduced Rank Kalman Filter (RRKF) Ensemble Kalman Filter (EnKF) Ensemble Square-Root Kalman Filter (EnSKF) Ensemble Transform Kalman Filter (EnTKF) Upgrade the model to the third generation version and include the monthly volume transport on the Scotia slope: Generalized topographic coordinate FVCOM to have uniform-thickness lay ers in the upper mixed layer and bottom slope.

Test problem 1: Tidal oscillations in a flat-bottom circular basin Conditions: Linear, 2-D, no friction, shallow water R (radius) = 50 km Forcing: M 2 tidal elevation at the open boundary Case 1: Normal oscillation H= 10 m, M 2 tidal elevation at OB = 1 m Open boundary Case 2: Near-resonance oscillation H= 1 m, M 2 tidal elevation at OB = 1 mm

Sensitivity Experiments for Measurement Sites (  10 4 ) e5 e4 e3 e2 e1 Surface elevation experiment (  10 4 ) (  10 4 ) c10 c9 c8 c7 c6 Current experiment (  10 4 )

RRKF: RMS error analysis of the elevation experiment Forecast innovation based on previous analysisAnalysis innovation Full Forecast based on previous analysisFull Analysis

RRKF: RMS error analysis of the current experiment Forecast innovation based on previous analysisAnalysis innovation Full Forecast based on previous analysisFull Analysis

EnKF: Near-resonance case: 1 current meter mooring at #1 site Forecast error at the observational site Analysis error at the observational site Forecast RMS errorAnalysis RMS error

Ship-tracking (e.g. ADCP) True Model RMS