Nguyen, An T. , D. Menemenlis, R

Slides:



Advertisements
Similar presentations
1 ICES/NAFO Symposium Santander May Seasonal to interannual variability of temperature and salinity in the Nordic Seas: heat and freshwater budgets.
Advertisements

The ocean and the global hydrologic cycle Jim Carton (University of Maryland) Paulo Nobre (INPE) São Paulo Summer School on Global Climate Modeling October,
Salt rejection, advection, and mixing in the MITgcm coupled ocean and sea-ice model AOMIP/(C)ARCMIP / SEARCH for DAMOCLES Workshop, Paris Oct 29-31, 2007.
1 Evaluation of two global HYCOM 1/12º hindcasts in the Mediterranean Sea Cedric Sommen 1 In collaboration with Alexandra Bozec 2 and Eric Chassignet 2.
AS Year 13 SCIENCE. Ocean systems – course topics 1. Ocean composition 2. Ocean circulation 3. The carbon cycle 4. Transport matter, energy – heat,
Preliminary results on Formation and variability of North Atlantic sea surface salinity maximum in a global GCM Tangdong Qu International Pacific Research.
Chukchi/Beaufort Seas Surface Wind Climatology, Variability, and Extremes from Reanalysis Data: Xiangdong Zhang, Jeremy Krieger, Paula Moreira,
Summary from last class… Importance of large-scale ocean circulation –climate, biogeochemistry, marine resources Characteristic “Types” of Ocean Circulation.
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
The Role of Surface Freshwater Flux Boundary Conditions in Arctic Ocean/Sea-Ice Models EGU General Assembly, Nice, April 2004 Matthias Prange and Rüdiger.
Nordic Seas Region Water mass transformation and production of high-density water in the Barents Sea through cooling and brine rejection during ice freezing.
EGU 2012, Kristine S. Madsen, High resolution modelling of the decreasing Arctic sea ice Kristine S. Madsen, T.A.S. Rasmussen, J. Blüthgen and.
Sea Ice Deformation Studies and Model Development
The Large-Scale Energy Budget of the Arctic Mark C. Serreze National Snow and Ice Data Center (NSIDC) Cooperative Institute for Research in Environmental.
Snow, Ice & Polar Environmental Change for K-12 Classrooms
1.Introduction 2.Description of model 3.Experimental design 4.Ocean ciruculation on an aquaplanet represented in the model depth latitude depth latitude.
Some logistics: meeting web site will eventually include presentations coffee will be served outside meeting.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
P. N. Vinayachandran Centre for Atmospheric and Oceanic Sciences (CAOS) Indian Institute of Science (IISc) Bangalore Summer.
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.
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.
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,
AOMIP workshop #12 Jan 14-16, 2009 WHOI Improved modeling of the Arctic halocline with a sub-grid-scale brine rejection parameterization Nguyen, An T.,
The dynamic-thermodynamic sea ice module in the Bergen Climate Model Helge Drange and Mats Bentsen Nansen Environmental and Remote Sensing Center Bjerknes.
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.
1 Xujing Jia Davis Graduate School of Oceanography, University of Rhode Island Lewis M. Rothstein Graduate School of Oceanography, University of Rhode.
Typical Distributions of Water Characteristics in the Oceans.
Summary of January 2007 ECCO2 meeting Overview and Motivation ECCO, ECCO-GODAE, ECCO2 (Wunsch, MIT) The only way to understand the complete, global,
National Aeronautics and Space Administration The Large Scale Salinity Budget in the North Atlantic and a First Look at ENSO from Aquarius Josh Willis.
Mixing and Entrainment in the Orkney Passage Judy Twedt University of Washington Dept. of Physics NOAA, Geophysical Fluid Dynamics Lab Dr. Sonya Legg Dr.
The CHIME coupled climate model Alex Megann, SOC 26 January 2005 (with Adrian New, Bablu Sinha, SOC; Shan Sun, NASA GISS; Rainer Bleck, LANL)  Introduction.
Assimilation of Sea Ice Concentration Observations in a Coupled Ocean-Sea Ice Model using the Adjoint Method.
Adjoint modeling in cryosphere Patrick Heimbach MIT/EAPS, Cambridge, MA, USA
Validation of ORCA05 regional configuration of the Arctic North Atlantic Christophe HERBAUT and Marie-Noëlle HOUSSAIS Charles DELTEL LOCEAN, Université.
Nansen Environmental and Remote Sensing Center Modifications of the MICOM version used in the Bergen Climate Model Mats Bentsen and Helge Drange Nansen.
SPURS Synthesis Research Objectives: Budget calculations Resolve important terms of the freshwater and heat budgets of the upper 1000 m on temporal scales.
Atmospheric Circulation Response to Future Arctic Sea Ice Loss Clara Deser, Michael Alexander and Robert Tomas.
15 Annual AOMIP Meeting. WHOI, 1- 4 November 2011 Numerical modeling of the Atlantic Water distribution in the upper Arctic Ocean: Sensitivity studies.
1 Atlantic Water in the Arctic Ocean – can we estimate the heat supplied through its inflow? Ursula Schauer + Agnieszka Beszczynska-Möller, Eberhard Fahrbach,
Toward improved understanding of mass and property fluxes through Bering Strait Jaclyn Clement Kinney 1, Wieslaw Maslowski 1, Mike Steele 2, Jinlun Zhang.
A template for business people (you can use this PPT and modify it for your needs) Date, author, subject/ theme, etc. „Baltic Sea Region Challenges and.
Impact of sea ice dynamics on the Arctic climate variability – a model study H.E. Markus Meier, Sebastian Mårtensson and Per Pemberton Swedish.
Michael Steele Polar Science Center / APL University of Washington Jan 14, 2009 AOMIP WHOI Mechanisms of Upper Ocean Warming in the Arctic and the Effect.
On (in)correctness of estimating heat flux across a single section Wieslaw Maslowski Naval Postgraduate School AOMIP Workshop, Woods Hole, MA, October,
Brines and Frazil ice formation by Jean-Claude Gascard UPMC/LOCEAN/CNRS/IPSL.
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
The Emergence of Surface-Based Arctic Amplification
Preliminary Results from the Global Ocean Simulations with the Baringer-Price-Yang Marginal Sea Boundary Condition Model Wanli Wu, William Large and Gokhan.
Samuel SOMOT1 and Michel CREPON2
Mesoscale eddies and shelf-basin exchange in the western Arctic Ocean
On the Flow Through Bering Strait:
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,
Evaluation of sea ice thickness reproduction in AOMIP models
Marie-Noëlle HOUSSAIS
The ACCIMA Project - Coupled Modeling of the High Southern Latitudes
Shelf-basin exchange in the Western Arctic Ocean
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing
October 23-26, 2012: AOMIP/FAMOS meetings
Weather forecasting in a coupled world
Climate Dynamics 11:670:461 Alan Robock
John (Qiang) Wang, Paul G. Myers, Xianmin Hu, Andrew B.G. Bush
Heat Transport by the Atmosphere and ocean
Xuezhu Wang, Qiang Wang, Sergey Danilov, Thomas Jung,
An Approach to Enhance Credibility of Decadal-Century Scale Arctic
Numerical Mixing in the COSIMA Models
Supervisor: Eric Chassignet
ROMS+WRF+Budgell Jeff Willison1, Ruoying He1, Michael S. Dinniman2, Xiaojun Yuan3 1North Carolina State University 2Old Dominion University 3Lamont-Doherty.
Presentation transcript:

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

Motivation Questions: Source of Upper Halocline Water? [Nguyen et al., 2009] [Holloway, 2007] Svalbard Questions: Source of Upper Halocline Water? Volume budget of source water? WHOI -- AOMIP 10/20/2009

Regional Configuration of MITgcm Integration Period: 1992-2005 Ocean model: 9-km horizontal 50 vertical levels Surface BC’s: JRA25 Initial conditions: WOA05 bathymetry: GEBCO KPP mixing [Large et al., 1994] BC’s: global solution Sea ice model: C-grid, ~ 9km 2-category zero-layer thermodynamics [Hibler, 1980, Hibler & Zhang, 1997] Viscous plastic dynamics [Hibler, 1979] Initial conditions: Polar Science Center Snow simulation: [Zhang et al., 1998] ECCO2: High- Resolution Global- Ocean and Sea-Ice Model WHOI -- AOMIP 10/20/2009

1992-2005 Mean August velocity magnitude (top 100m) m/s WHOI -- AOMIP 10/20/2009

Snap shots winter late spring late summer winter s B B’ WHOI -- AOMIP 10/20/2009

1992-2005 Mean Temperature A A’ oC WHOI -- AOMIP 10/20/2009

Densewater formation on shelves Surface T / S BB’ profile 1 [Woodgate, 2005] contours: S > 33.25, Sea-ice area = 95% WHOI -- AOMIP 10/20/2009

Heat Loss, Ice and Dense-water and Halocline water productions [Cavalieri 1994] Heat Loss: HL = (8.64104) • A • Fnet Ice Production: Vi = (8.64104) • HL / (ri • L) Salt Production: SF = ri • Vi • 0.69 • sw Dense Water: VD = SF / [rese – rw sw] Halocline Water**: VH = VD (se – 32) / (32.85 – 32) , se > 32.85 = SF / [rhsh – rw sw ] , se < 32.85 ** Assumptions: sea-ice production yields enriched water with salinity increases 1.5-2 psu enriched water mixes with mixed-layer water to produce halocline water cold halocline water has an average salinity sh=32.85 psu enriched water has salinity se > sh Variables: Fnet: total ocean-to-atmosphere heat flux A: open-water area L: latent heat of fusion ri,Vi : sea-ice density and volume re, se: enriched water density and salinity rw, sw: background water density and salinity WHOI -- AOMIP 10/20/2009

Ice productions in Region 1 WHOI -- AOMIP 10/20/2009

Densewater transport from shelves into Arctic interior Model Observations C C’ C C’ Summer 2002 [Pickart, 2005] August 1992-2005 WHOI -- AOMIP 10/20/2009

Dense water and Halocline water calculations: B B’ WHOI -- AOMIP 10/20/2009

Net Halocline Water Production Source Period Dense Water Halocline Water Cavalieri, [1994]...1978-1987 0.24 0.04 Sv --- This study……….1992-2005 0.12  0.03 Sv 0.09  0.03 Sv WHOI -- AOMIP 10/20/2009

Numerical Calculation (1) Source Period Dense Water Halocline Water Cavalieri, [1994]...1978-1987 0.24 0.04 Sv --- This study……….1992-2005 0.12  0.03 Sv 0.09  0.03 Sv 1993-2005 0.19  0.05 Sv 0.18  0.09 Sv WHOI -- AOMIP 10/20/2009

Numerical Calculation (2) Source Period Dense Water Halocline Water Cavalieri, [1994]...1978-1987 0.24 0.04 Sv --- This study……….1992-2005 0.12  0.03 Sv 0.09  0.03 Sv 1993-2005 0.19  0.05 Sv 0.18  0.09 Sv 1993-2005 0.15  0.09 Sv WHOI -- AOMIP 10/20/2009

Summary Model: realistic polynyas and ice productions compared to observations Seasonal cycle of dense water in the Chukchi Sea Dense water  supplies water to the Upper Halocline  need to compare with observations Thank You WHOI -- AOMIP 10/20/2009

Extra (1) [Martin 2004, 2005] WHOI -- AOMIP 10/20/2009