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1  <ul><li>  <ul><li>
2  R. Abernathey, D. Ferreira, and A. Klocker, 2014: Diagnostics of eddy  M. Azaneu, R. Kerr, and M. Mata,
3  mixing in a circumpolar channel. Ocean Modelling, submitted.  2014: <a href="http://www.ocean-sci.net/10/923/2014/os-10-923-2014.html">
4    Assessment of the representation of Antarctic Bottom Water properties in the
5    ECCO2 reanalysis.</a> Ocean Sci., 10, 923-946.
6  </li></ul>  </li></ul>
7    
8  <ul><li>  <ul><li>
9  M. Azaneu, R. Kerr, and M. Mata,  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
10  2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">  Low-frequency SST and upper-ocean heat content variability in the North
11  Assessment of the ECCO2 reanalysis on the representation of Antarctic  Atlantic. J. Clim., 27, 4996-5018.
 Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.  
12  </li></ul>  </li></ul>
13    
14  <ul><li>  <ul><li>
15  H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
16  K. Bowman, and H. Zhang, 2014:  atmospheric reanalysis products for the Arctic Ocean and implications
17  <a href="http://ecco2.org/manuscripts/2014/Brix2014.pdf"> Using  for uncertainties in air-sea fluxes, J. Clim., 27, 5411-5421.
 Green's Functions to initialize and adjust a global, eddying ocean  
 biogeochemistry general circulation model.</a> Ocean Modelling,  
 submitted.  
18  </li></ul>  </li></ul>
19    
20  <ul><li>  <ul><li>
21  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:  R. Chen, G. Flerl, and C. Wunsch, 2014:
22  Low-frequency SST and upper-ocean heat content variability in the North  <a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
23  Atlantic. J. Clim., in revision.  description of local and nonlocal eddy-mean flow interaction in a
24    global eddy-permitting state estimate. </a> J. Phys. Oceanogr., 44,
25    2336-2352.
26  </li></ul>  </li></ul>
27    
28  <ul><li>  <ul><li>
29  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of  K. Childers, 2014:
30  atmospheric reanalysis products for the Arctic Ocean and implications  <a href="http://ecco2.org/manuscripts/2015/Childers2014.pdf">
31  for uncertainties in air-sea fluxes, Journal of Climate, in revision.  Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
32    Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
33  </li></ul>  </li></ul>
34    
35  <ul><li>  <ul><li>
36  G. Danabasoglu, et al., 2014: North Atlantic simulations in  H. Dail and C. Wunsch, 2014: Dynamical Reconstruction of Upper-Ocean
37  Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part  Conditions in the Last Glacial Maximum Atlantic.  J. Clim., 27, 807–823.
38  I: Mean states. Ocean Modelling, 73, 76-107.  </ul></li>
39    
40    <ul><li>
41    G. Danabasoglu, et al., 2014: North Atlantic simulations in Coordinated
42    Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean
43    states. Ocean Modelling, 73, 76-107.
44    </li></ul>
45    
46    <ul><li>
47    G. Danabasoglu, R. Curry, P. Heimbach, Y. Kushnir, C. Meinen, R. Msadek,
48    M. Patterson, L. Thompson, S. Yeager, and R. Zhang, 2014: 2013 US AMOC Science
49    Team Annual Report on Progress and Priorities. 162 pp. <a
50    href="https://usclivar.org/sites/default/files/amoc/2014/USAMOC_2013AnnualReport_final.pdf">
51    US CLIVAR Report 2014-4</a>, US CLIVAR Project Office, Washington D.C., 20006.
52    </ul></li>
53    
54    <ul><li>
55    V. Dansereau, P. Heimbach, and M. Losch, 2014: Simulation of sub-ice shelf
56    melt rates in a general circulation model: velocity-dependent transfer and the
57    role of friction.  J. Geophys. Res., 119, 1765-1790.
58    </ul></li>
59    
60    <ul><li>
61    T. Dotto, R. Kerr, M. Mata, M. Azaneu, I. Wainer, E. Fahrbach, and G. Rohardt,
62    2014: <a href="http://www.ocean-sci.net/10/523/2014/os-10-523-2014.html">
63    Assessment of the structure and variability of Weddell Sea water masses in
64    distinct ocean reanalysis products.</a> Ocean Sci., 10, 523-546.
65  </li></ul>  </li></ul>
66    
67  <ul><li>  <ul><li>
# Line 53  Deep-Sea Res. I, 86, 1-20. Line 80  Deep-Sea Res. I, 86, 1-20.
80  </li></ul>  </li></ul>
81    
82  <ul><li>  <ul><li>
83  M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:  S. Gao, T. Qu, and X. Nie, 2014: Mixed layer salinity budget in the tropical
84  <a href="http://ecco2.org/manuscripts/2014/Flexas2014.pdf">  Pacific Ocean estimated by a global GCM. J. Geophys. Res., 119, 8255-8270.
 Role of tides on the formation of the Antarctic Slope Front at the  
 Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.  
85  </li></ul>  </li></ul>
86    
87  <ul><li>  <ul><li>
88  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:  P. Heimbach, F. Straneo, O. Sergienko, and G. Hamilton, 2014:
89  Quantifying the processes controlling intraseasonal mixed-layer  International workshop on understanding the response of Greenlands
90  temperature variability in the tropical Indian  marine-terminating glaciers to oceanic and atmospheric forcing: Challenges to
91  Ocean. J. Geophys. Res., revised.  improving observations, process understanding and modeling. June 4-7, 2013,
92  </li></ul>  Beverly, MA, USA.
93    <a href="http://www.usclivar.org/sites/default/files/documents/2014/2013GRISOWorkshopReport_v2_0.pdf">US
94  <ul><li>  CLIVAR Report 2014-1</a>, US CLIVAR Project Office, Washington DC, 20006.
95  D. Halpern, D. Menemenlis, and X. Wang,  </ul></li>
 2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">  
 Impact of data assimilation on ECCO2 Equatorial Undercurrent and North  
 Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean  
 Tech., in press.  
 </li></ul>  
96    
97  <ul><li>  <ul><li>
98  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
99  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
100  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), 36, S267–S295.
101  </li></ul>  </li></ul>
102    
103  <ul><li>  <ul><li>
104  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
105  J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,  G. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
106  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
107  Carbon monitoring system flux estimation and attribution: Impact of  Carbon monitoring system flux estimation and attribution: Impact of
108  ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric  ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
# Line 98  model.</a> J. Mar. Syst., 129, 437-451. Line 118  model.</a> J. Mar. Syst., 129, 437-451.
118  </li></ul>  </li></ul>
119    
120  <ul><li>  <ul><li>
121  L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,  C. Piecuch, I. Fukumori, R. Ponte and O. Wang, 2014: Vertical Structure of
122  C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  Ocean Pressure Variations with Application to Satellite-Gravimetric
123  2014: Quantifying the observability of CO2 flux uncertainty in  Observations. Journal of Atmospheric and Oceanic Technology, 32, 603-613.
 atmospheric CO2 records using products from NASA's Carbon Monitoring  
 Flux Pilot Project. J. Geophys. Res., submitted.  
124  </li></ul>  </li></ul>
125    
126  <ul><li>  <ul><li>
127  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
128  level change.  J. Clim., in press.  level change.  J. Clim., 27, 824-834.
129  </li></ul>  </li></ul>
130    
131  <ul><li>  <ul><li>
132  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice  R. Ponte, and C. Piecuch, 2014: Interannual bottom pressure signals
133  deformation in a coupled ocean-sea ice model and in satellite remote  in the Australian-Antarctic and Bellingshausen Basins. J. Phys. Oceanogr.,
134  sensing data. J. Geophys. Res., submitted.  44, 1456-1465.
135  </li></ul>  </li></ul>
136    
137  <ul><li>  <ul><li>
138  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of  R. Sciascia, C. Cenedese, D. Nicoli, P. Heimbach, and F. Straneo, 2014: Impact
139  ocean variability, J. Phys. Oceanogr., 44, 944-966.  of periodic intermediary flows on submarine melting of a Greenland glacier.
140    J. Geophys. Res., 119, 7078-7098.
141    </ul></li>
142    
143    <ul><li>
144    H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
145    M. Schodlok, and A. Khazendar,
146    2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
147    Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
148    to climate forcing for the next 50 years.</a> The Cryosphere, 8,
149    1699-1710.
150  </li></ul>  </li></ul>
151    
152  <ul><li>  <ul><li>
153  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the  S. Tett, T. Sherwin, A. Shravat, and O. Browne, 2014: How Much Has the North
154  Abyssal Ocean. J. Phys. Oceanogr., in press.  Atlantic Ocean Overturning Circulation Changed in the Last 50 Years? Journal
155    of Climate, 27, 6325-6342.
156    </ul></li>
157    
158    <ul><li>
159    N. Vinogradova,  R. Ponte, I. Fukumori, and O. Wang, 2014:
160    Estimating satellite salinity errors for assimilation of Aquarius and SMOS
161    data into climate models. J. Geophys. Res., 119, 4732-4744.
162  </li></ul>  </li></ul>
163    
164  <ul><li>  <ul><li>
165  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and  B. Webber, A. Matthews, K. Heywood, J. Kaiser and S. Schmidtko, 2014:
166  I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent  Seaglider observations of equatorial Indian Ocean Rossby waves associated with
167  vertical mixing using seasonally averaged observations from the  the Madden-Julian Oscillation. J. Geophys. Res., 119, 3714-3731.
 TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  
168  </li></ul>  </li></ul>
169    
170  <ul><li>  <ul><li>
171  V. Zemskova, B. White, and A. Scotti, 2014: Available potential energy  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
172  and the general circulation: Partitioning wind, buoyancy forcing, and  ocean variability, J. Phys. Oceanogr., 44, 944-966.
173  irreversible mixing. J. Phys. Oceanogr., submitted.  </li></ul>
174    
175    <ul><li>
176    C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
177    Abyssal Ocean. J. Phys. Oceanogr., 44, 2013-2030.
178  </li></ul>  </li></ul>
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