ROMS+WRF+Budgell Jeff Willison1, Ruoying He1, Michael S. Dinniman2, Xiaojun Yuan3 1North Carolina State University 2Old Dominion University 3Lamont-Doherty.

Slides:

Advertisements

Similar presentations

Meteorologisk Institutt met.no OPNet, Oslo, May 2011 Do we need fine scale ocean prediction ?!... and if so, do we have the right tools ? Lars-Anders Breivik.

Advertisements

A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.

John J. Cassano, Matthew Higgins, Alice DuVivier University of Colorado Wieslaw Maslowski, William Gutowski, Dennis Lettenmaier, Andrew Roberts.

Modeling circulation and ice in the Chukchi and Beaufort Seas

Dynamical Downscaling of CCSM Using WRF Yang Gao 1, Joshua S. Fu 1, Yun-Fat Lam 1, John Drake 1, Kate Evans 2 1 University of Tennessee, USA 2 Oak Ridge.

Climate Forcing and Physical Climate Responses Theory of Climate Climate Change (continued)

A Coupled Ice-Ocean Model Based on ROMS/TOMS 2.0 W. Paul Budgell Institute of Marine Research and Bjerknes Centre for Climate Research Bergen, Norway Terrain-Following.

John J. Cassano - University of Colorado Wieslaw Maslowski -Naval Postgraduate School William Gutowski - Iowa State University Dennis Lettenmaier – University.

2005 ROMS Users Meeting Monday, October 24, 2005 Coupled sea-ice/ocean numerical simulations of the Bering Sea for the period 1996-present Enrique Curchitser.

Sea-ice & the cryosphere

Hector simulation We found simulation largely depending on: Model initialization scheme Lateral boundary conditions Physical processes represented in the.

Thermohaline Circulation

A Regional Ice-Ocean Simulation Of the Barents and Kara Seas W. Paul Budgell Institute of Marine Research and Bjerknes Centre for Climate Research Bergen,

Kate Hedstrom, UAF Paul Budgell, Bergen Enrique Curchitser, LDEO

Xingren Wu and Robert Grumbine

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.

Wind effects on Circumpolar Deep Water intrusions on the West Antarctic Peninsula continental shelf Mike Dinniman John Klinck Center for Coastal Physical.

Numerical Modeling of ocean circulation over the continental shelf and beneath the ice shelves in the Amundsen Sea, Antarctica WAIS September 28, 2006.

Dale haidvogel Nested Modeling Studies on the Northeast U.S. Continental Shelves Dale B. Haidvogel John Wilkin, Katja Fennel, Hernan.

Coupling of the Common Land Model (CLM) to RegCM in a Simulation over East Asia Allison Steiner, Bill Chameides, Bob Dickinson Georgia Institute of Technology.

Tropical Instability Waves and Ocean-Atmosphere Feedback; Coupled Modeling Study Hyodae Seo, Art Miller, John Roads (Scripps Institution of Oceanography)

A High Resolution Coupled Sea-Ice/Ocean Model for the Antarctic Peninsula Region Michael S. Dinniman John M. Klinck Andrea Piñones Center for Coastal Physical.

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.

Production and Export of High Salinity Shelf Water in a Model of the Ross Sea Michael S. Dinniman Y. Sinan Hüsrevoğlu John M. Klinck Center for Coastal.

Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Regional Modeling using MODIS SST composites Prepared.

WHOI -- AOMIP 10/20/2009 Formation of the Arctic Upper Halocline in a Coupled Ocean and Sea-ice Model Nguyen, An T., D. Menemenlis, R. Kwok, Jet Propulsion.

Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,

ROMS in Alaska Waters Kate Hedstrom, ARSC/UAF Enrique Curchitser, IMCS/Rutgers August, 2007.

Icebergs, Ice Shelves and Sea Ice: A ROMS Study of the Southwestern Ross Sea for Michael S. Dinniman John M. Klinck Center for Coastal Physical.

Investigation of Mixed Layer Depth in the Southern Ocean by using a 1-D mixed layer model Chin-Ying Chien & Kevin Speer Geophysical Fluid Dynamics Institute,

Autonomous Polar Atmospheric Observations John J. Cassano University of Colorado.

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

Sea ice modeling at met.no Keguang Wang Norwegian Meteorological Institute.

OEAS 604: Introduction to Physical Oceanography Surface heat balance and flux Chapters 2,3 – Knauss Chapter 5 – Talley et al. 1.

Katja Friedrich Associate Professor Dept. of Atmospheric and Oceanic Sciences, U. of Colorado Science Plan & Experimental Design.

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.

NUMERICAL STUDY OF THE MEDITERRANEAN OUTFLOW WITH A SIMPLIFIED TOPOGRAPHY Sergio Ramírez-Garrido, Jordi Solé, Antonio García-Olivares, Josep L. Pelegrí.

Page 1© Crown copyright 2005 Met Office plans for sea ice model development within a flexible modelling framework Helene Banks Martin Best, Ann Keen and.

CFSRR: 11/7/2007Xingren Wu: The Sea-Ice Model The Sea-Ice Model Xingren Wu EMC/NCEP/NOAA Acknowledgements: all EMC/NCEP members, in particular, Dave Behringer,

The Arctic boundary layer: Characteristics and properties Steven Cavallo June 1, 2006 Boundary layer meteorology.

Adjoint modeling in cryosphere Patrick Heimbach MIT/EAPS, Cambridge, MA, USA

1 Xiaoyan Jiang, Guo-Yue Niu and Zong-Liang Yang The Jackson School of Geosciences The University of Texas at Austin 03/20/2007 Feedback between the atmosphere,

Atmospheric Circulation Response to Future Arctic Sea Ice Loss Clara Deser, Michael Alexander and Robert Tomas.

Matthew J. Hoffman CEAFM/Burgers Symposium May 8, 2009 Johns Hopkins University Courtesy NOAA/AVHRR Courtesy NASA Earth Observatory.

Coupled HYCOM in CESM and ESPC Alexandra Bozec, Eric P. Chassignet.

Simulations of the snow covered sea ice surface temperature and microwave effective temperature at L-band Rasmus Tonboe Danish Meteorological Institute.

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

Development of the Regional Arctic Climate System Model (RACM) --- Department of Civil and Environmental Engineering University of Washington May, 2010.

IC2_I Scenarios of future changes in the occurrence of extreme storm surges Nilima Natoo A. Paul, M. Schulz (University of Bremen) M.

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

THE ACCIMA PROJECT – COUPLED MODELING OF THE HIGH SOUTHERN LATITUDES

Seasonal Forecast of Antarctic Sea Ice

Tropical Convection and MJO

Mesoscale eddies and shelf-basin exchange in the western Arctic Ocean

Nguyen, An T. , D. Menemenlis, R

A sensitivity study of the sea ice simulation in the global coupled climate model, HadGEM3 Jamie Rae, Helene Hewitt, Ann Keen, Jeff Ridley, John Edwards,

THE ACCIMA PROJECT – COUPLED MODELING OF THE HIGH SOUTHERN LATITUDES

Coupled atmosphere-ocean simulation on hurricane forecast

The ACCIMA Project - Coupled Modeling of the High Southern Latitudes

Shuyi S. Chen, Ben Barr, Milan Curcic and Brandon Kerns

Mark A. Bourassa and Qi Shi

Performance of the VIC land surface model in coupled simulations

Initial Implementation of VIC within CCSM System through CPL7

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

What controls the time scale of Circumpolar Deep Water intrusions onto Antarctic continental shelves? Michael S. Dinniman Pierre St-Laurent John M. Klinck.

Michael S. Dinniman John M. Klinck

J.T. Kiehl National Center for Atmospheric Research

TFMM – Trends Available Meteorological Forcing

A Coastal Forecasting System

Presentation transcript:

ROMS+WRF+Budgell Jeff Willison1, Ruoying He1, Michael S. Dinniman2, Xiaojun Yuan3 1North Carolina State University 2Old Dominion University 3Lamont-Doherty Earth Observatory of Columbia University

Project Objectives 1) Couple sea ice, WRF, ROMS, and ice shelf models using COAWST framework 2) Use coupled model output along with obs from field campaign to study Prydz Bay in Antarctica NSF AWARD #1443491

Polynyas Credit: Céline Heuzé

Polynyas Liu et al. (2017) NASA

Sea ice model options Community Ice CodE Budgell aka Los Alamos Sea Ice Model aka CICE4 Easier to pronounce “Melt ponds” Not suitable for multi-year ice Already fully coupled to ROMS Less sophisticated Good enough for Antarctica Not easier to pronounce Melt ponds Pancake ice/Multi-year ice Coupled version somewhat available? More sophisticated and popular (CESM) Good for either polar region https://slideplayer.com/slide/5010565/ https://github.com/CICE-Consortium/CICE/wiki https://fimex.met.no/sparse/The%20coupled%20ROMS-CICE%20system.pdf “Multiyear ice contains much less brine and more air pockets than first-year ice. Less brine means "stiffer" ice that is more difficult for icebreakers to navigate and clear.”

Budgell cont. Dynamics: Elastic-viscous-plastic (EVP) rheology [Hunke and Dukowicz (1997), Hunke (1991), Hunke and Dukowicz (1992)] Thermodynamics: Mellor and Kantha (1989) and Ha*kkinene and Mellor (1992). 3-level, single layer ice; single snow layer Molecular sublayer under ice; Prandtl-type ice-ocean boundary layer Surface “melt ponds” Snow depth = precipitation*20 Shortwave, longwave, sensible, latent heat fluxes into ice “The sea-ice component of ROMS is a combination of the elastic-viscous-plastic (EVP) rheology (Hunke and Dukowicz, Hunke) and simple one-layer ice and snow thermodynamics with a molecular sublayer under the ice (Mellor and Kantha). “

Budgell cont. Hedstrom ROMS manual “The sea-ice component of ROMS is a combination of the elastic-viscous-plastic (EVP) rheology (Hunke and Dukowicz, Hunke) and simple one-layer ice and snow thermodynamics with a molecular sublayer under the ice (Mellor and Kantha). “ Hedstrom ROMS manual

Coupled-Ocean-Atmosphere-Wave- Sediment Transport (COAWST) out of the box No communication between atmosphere and sea ice models

Previous attempt at coupling Use temperature, humidity, wind from WRF to calculate fluxes over ice on ROMS side (similar to Warner et al. 2010) Concerns about long-term stability

We separate the ocean and ice components inside WRF and pass to appropriate model

ROMS model configuration 10 km circumpolar domain (Dinniman et al. 2015) Daily boundary conditions for 4 km Prydz Bay domain taken from 10 km simulation Outer model domain 4 km domain and bathymetry

Ice thickness

Summary New capability on an old COAWST WRF + ROMS + Budgell + ice shelves Not the state of the art sea ice model Can test some hypotheses with this tool Potential to get right answers for right reasons Very Sensitive system; easy to get rapidly diverging solutions Potential to get right answers for right reasons! If you have an extra 20 Wm-2 you can’t just dump it into the ocean/atmosphere anymore because it will come back to get you.