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revision 1.6 by dimitri, Sun Mar 30 06:22:46 2008 UTC revision 1.19 by dimitri, Thu Dec 4 20:51:32 2008 UTC
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1    
2  <ul><li>  <ul><li>
3  G. Boezio, D. Menemenlis, and C. Mechoso, 2008: <a  G. Boezio, D. Menemenlis, and C. Mechoso, 2008: <a
4  href="http://ecco2.org/manuscripts/2008/ecco_cgcm.pdf">Impact of ECCO  href="http://ecco2.org/manuscripts/2008/CazesJCL08.pdf">Impact of ECCO
5  Ocean State Estimates on the Initialization of Seasonal Climate Forecasts.</a>  Ocean State Estimates on the Initialization of Seasonal Climate Forecasts.</a>
6  J. Climate, in press.  J. Climate, 21, 1929-1947.
7  </li></ul>  </li></ul>
8    
9  <ul><li>  <ul><li>
10  J. Campin, J. Marshall, and D. Ferreira, 2008: <a  J. Campin, J. Marshall, and D. Ferreira, 2008: <a
11  href="http://mitgcm.org/~jmc/iceLoading.pdf"> Sea-ice ocean coupling using a  href="http://mitgcm.org/~jmc/iceLoading_accept.pdf"> Sea-ice ocean coupling using a
12  rescaled vertical coordinate z*</a>, Ocean Modeling, in press.  rescaled vertical coordinate z*</a>, Ocean Modeling, 24, 1-14.
13  </li></ul>  </li></ul>
14    
15  <ul><li>  <ul><li>
# Line 16  J. Campin and J. Marshall, 2008: Implici Line 17  J. Campin and J. Marshall, 2008: Implici
17  in the MIT general circulation model, in preparation.  in the MIT general circulation model, in preparation.
18  </li></ul>  </li></ul>
19    
20  <ul><li>  <ul><li> A. Condron, P. Winsor, C. Hill, and D. Menemenlis, 2008: <a
21  A. Condron, P. Winsor, C. Hill, and D. Menemenlis, 2008: Response of  href="http://ecco2.org/manuscripts/2008/CondronJCL08.pdf"> Response of
22  the Arctic freshwater budget to extreme NAO forcing. In preparation.  the Arctic freshwater budget to extreme NAO forcing.</a> J. Climate,
23  </li></ul>  submitted.  </li></ul>
24    
25  <ul><li>  <ul><li>
26  G. Danabasoglu, R. Ferrari, and J. McWilliams, 2008: Sensitivity of an ocean  G. Danabasoglu, R. Ferrari, and J. McWilliams, 2008: Sensitivity of an ocean
27  general circulation model to a parameterization of near-surface eddy  general circulation model to a parameterization of near-surface eddy
28  fluxes. J. Climate, submitted.  fluxes. J. Climate, 21, 1192-1208.
29    </li></ul>
30    
31    <ul><li>
32    X. Davis, 2008: <a
33    href="http://ecco2.org/manuscripts/2008/DavisThesis.pdf"> Numerical
34    and theoretical investigations of North Pacific Subtropical Mode Water
35    with implications to Pacific climate variability.</a> Ph.D. thesis,
36    University of Rhode Island, Kingston, RI.
37  </li></ul>  </li></ul>
38    
39  <ul><li>  <ul><li>
# Line 33  B. Cornuelle, M. Dzieciuch, W. Munk, T. Line 42  B. Cornuelle, M. Dzieciuch, W. Munk, T.
42  D. Menemenlis, and C. Wunsch, 2007: A decade of acoustic thermometry  D. Menemenlis, and C. Wunsch, 2007: A decade of acoustic thermometry
43  in the North Pacific Ocean: using long-range acoustic travel times to  in the North Pacific Ocean: using long-range acoustic travel times to
44  test gyre-scale temperature variability derived from other  test gyre-scale temperature variability derived from other
45  observations and ocean models. J. Geophys. Res., in preparation.  observations and ocean models. J. Geophys. Res., submitted.
46  </li></ul>  </li></ul>
47    
48  <ul><li>  <ul><li>
# Line 46  synthesis. J. Phys.  Oceanogr., in prepa Line 55  synthesis. J. Phys.  Oceanogr., in prepa
55  B. Fox-Kemper and D. Menemenlis, 2008: <a  B. Fox-Kemper and D. Menemenlis, 2008: <a
56  href="http://ecco2.org/manuscripts/2008/FoxKemperMenemenlis08.pdf">  href="http://ecco2.org/manuscripts/2008/FoxKemperMenemenlis08.pdf">
57  Can Large Eddy Simulation Techniques Improve Mesoscale Rich Ocean  Can Large Eddy Simulation Techniques Improve Mesoscale Rich Ocean
58  Models?</a> Eddy-Resolving Ocean Modeling, ed. Matthew Hecht &  Models?</a> Ocean Modeling in an Eddying Regime, ed. Matthew Hecht &
59  Hiroyasu Hasumi, in press.  Hiroyasu Hasumi, American Geophysical Union, 319-338.
60  </li></ul>  </li></ul>
61    
62  <ul><li>  <ul><li>
# Line 55  N. Gruber, M. Gloor, S. Fletcher, S. Don Line 64  N. Gruber, M. Gloor, S. Fletcher, S. Don
64  M. Follows, M. Gerber, A. Jacobson, F. Joos, K. Lindsay, D. Menemenlis,  M. Follows, M. Gerber, A. Jacobson, F. Joos, K. Lindsay, D. Menemenlis,
65  A. Mouchet, J. Sarmiento, and T. Takahashi, 2008: <a  A. Mouchet, J. Sarmiento, and T. Takahashi, 2008: <a
66  href="http://quercus.igpp.ucla.edu/publication/pdf_files/co2_source-sink_galley.pdf">  href="http://quercus.igpp.ucla.edu/publication/pdf_files/co2_source-sink_galley.pdf">
67  Oceanic sources and sinks of atmospheric CO2.</a> Global Biogeochem. Cycles,  Oceanic sources and sinks of atmospheric CO2.</a> Global Biogeochem. Cycles, in press.
 submitted.  
68  </li></ul>  </li></ul>
69    
70  <ul><li>  <ul><li>
71  P. Heimbach, 2008: The MITgcm/ECCO adjoint modeling infrastructure. CLIVAR  P. Heimbach, 2008: <a
72  Exchanges, January 2008, in press.  href="http://eprints.soton.ac.uk/50120/01/Exch_44.pdf"> The
73    MITgcm/ECCO adjoint modeling infrastructure.</a> CLIVAR Exchanges, 44,
74    13-17.
75  </li></ul>  </li></ul>
76    
77  <ul><li>  <ul><li>
# Line 71  fluid dynamics models. Mon. Weather Rev. Line 81  fluid dynamics models. Mon. Weather Rev.
81  </li></ul>  </li></ul>
82    
83  <ul><li>  <ul><li>
84    R. Kwok, E. Hunke, W. Maslowski, D. Menemenlis, and J. Zhang, 2008: <a
85    href="http://ecco2.org/manuscripts/2008/Kwok.2008c.JGR.pdf">Variability
86    of sea ice simulations assessed with RGPS kinematics.</a>
87    J. Geophys. Res., 131, C11012.
88    </li></ul>
89    
90    <ul><li>
91  M. Losch, D. Menemenlis, P. Heimbach, J.-M. Campin, and C. Hill, 2007:  M. Losch, D. Menemenlis, P. Heimbach, J.-M. Campin, and C. Hill, 2007:
92  A dynamicthermodynamic sea ice model for ocean climate estimation on  A dynamicthermodynamic sea ice model for ocean climate estimation on
93  an Arakawa C-grid. J. Geophys. Res., in preparation.  an Arakawa C-grid. J. Geophys. Res., in preparation.
# Line 78  an Arakawa C-grid. J. Geophys. Res., in Line 95  an Arakawa C-grid. J. Geophys. Res., in
95    
96  <ul><li>  <ul><li>
97  M. Manizza, M. Follows, S. Dutckiewicz, J. McClelland, D. Menemenlis,  M. Manizza, M. Follows, S. Dutckiewicz, J. McClelland, D. Menemenlis,
98  C. Hill, and J. Peterson, 2008: Modeling transport, fate, and lifetime  C. Hill, A. Townsend-Small, and J. Peterson, 2008: <a
99  of riverine DOC in the Arctic Ocean, Global Biogeochem. Cycles, in  href="http://ecco2.org/manuscripts/2008/ManizzaGBC08.pdf"> Modeling
100  preparation.  transport, fate, and lifetime of riverine DOC in the Arctic Ocean.</a>
101    Global Biogeochem. Cycles, submitted.
102  </li></ul>  </li></ul>
103    
104  <ul><li>  <ul><li>
# Line 91  Oceanogr., submitted. Line 109  Oceanogr., submitted.
109  </li></ul>  </li></ul>
110    
111  <ul><li>  <ul><li>
112  D. Volkov and L.-L. Fu, 2008: The role of vorticity fluxes in the  
113  dynamics of the Zapiola Anticyclone. Geophys. Res. Lett., submitted.  M. Mazloff, 2008: <a
114    href="http://web.mit.edu/mmazloff/Public/MazThesis.pdf"> The Southern
115    Ocean meridional overturning circulation as diagnosed from an eddy
116    permitting state estimate.</a> Ph.D. thesis, Massachusetts Institute
117    of Technology and the Woods Hole Oceanographic Institution, Cambridge,
118    MA.
119    </li></ul>
120    
121    <ul><li>
122    D. Volkov and L.-L. Fu, 2008: <a
123    href="http://ecco2.org/manuscripts/2008/VolkovJGR08.pdf"> The role of
124    vorticity fluxes in the dynamics of the Zapiola Anticyclone.</a>
125    J. Geophys. Res., 113, C11015.
126    </li></ul>
127    
128    <ul><li>
129    D. Volkov, T. Lee, and L.-L. Fu, 2008: <a
130    href="http://ecco2.org/manuscripts/2008/VolkovGRL08.pdf"> Eddy-induced
131    meridional heat transport in the ocean.</a> Geophys. Res. Lett., 35,
132    L20601.
133  </li></ul>  </li></ul>
134    
135  <ul><li>  <ul><li>
# Line 100  L. White and A. Adcroft, 2008: <a Line 137  L. White and A. Adcroft, 2008: <a
137  href="http://ecco2.org/manuscripts/2008/white_adcroft_JCP08.pdf">A  href="http://ecco2.org/manuscripts/2008/white_adcroft_JCP08.pdf">A
138  high-order finite volume remapping scheme for nonuniform grids: the  high-order finite volume remapping scheme for nonuniform grids: the
139  piecewise quartic method (PQM).</a> Journal of Computational Physics,  piecewise quartic method (PQM).</a> Journal of Computational Physics,
140  submitted.  revised.
141  </li></ul>  </li></ul>
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