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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://ecco2.org/manuscripts/2014/Azaneu2014.pdf">
4    Assessment of the ECCO2 reanalysis on the representation of Antarctic
5    Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.
6  </li></ul>  </li></ul>
7    
8  <ul><li>  <ul><li>
9  H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang, K. Bowman,  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
10  and H. Zhang, 2014: Using Green's Functions to initialize and adjust a global,  Low-frequency SST and upper-ocean heat content variability in the North
11  eddying ocean biogeochemistry general circulation model. Ocean Modelling,  Atlantic. J. Clim., 27, 4996-5018.
 submitted.  
12  </li></ul>  </li></ul>
13    
14  <ul><li>  <ul><li>
15  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
16  Low-frequency SST and upper-ocean heat content variability in the North  atmospheric reanalysis products for the Arctic Ocean and implications
17  Atlantic. J. Clim., in revision.  for uncertainties in air-sea fluxes, J. Clim., 27, 5411-5421.
18  </li></ul>  </li></ul>
19    
20  <ul><li>  <ul><li>
21  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of atmospheric reanalysis products for the Arctic Ocean and implications for uncertainties in air-sea fluxes, Journal of Climate, in revision.  R. Chen, G. Flerl, and C. Wunsch, 2014:
22    <a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
23    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  G. Danabasoglu, et al., 2014: North Atlantic simulations in Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean states. Ocean Modelling, 73, 76-107.  H. Dail and C. Wunsch, 2014: Dynamical Reconstruction of Upper-Ocean
30    Conditions in the Last Glacial Maximum Atlantic.  J. Clim., 27, 807–823.
31    </ul></li>
32    
33    <ul><li>
34    G. Danabasoglu, et al., 2014: North Atlantic simulations in Coordinated
35    Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean
36    states. Ocean Modelling, 73, 76-107.
37    </li></ul>
38    
39    <ul><li>
40    G. Danabasoglu, R. Curry, P. Heimbach, Y. Kushnir, C. Meinen, R. Msadek,
41    M. Patterson, L. Thompson, S. Yeager, and R. Zhang, 2014: 2013 US AMOC Science
42    Team Annual Report on Progress and Priorities. 162 pp. <a
43    href="https://usclivar.org/sites/default/files/amoc/2014/USAMOC_2013AnnualReport_final.pdf">
44    US CLIVAR Report 2014-4</a>, US CLIVAR Project Office, Washington D.C., 20006.
45    </ul></li>
46    
47    <ul><li>
48    V. Dansereau, P. Heimbach, and M. Losch, 2014: Simulation of sub-ice shelf
49    melt rates in a general circulation model: velocity-dependent transfer and the
50    role of friction.  J. Geophys. Res., 119, 1765-1790.
51    </ul></li>
52    
53    <ul><li>
54    B. Dushaw, 2014:
55    <a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
56    Assessing the horizontal refraction of ocean acoustic tomography
57    signals using high-resolution ocean state estimates.</a>
58    Acoust. Soc. Am., 136, 122.
59  </li></ul>  </li></ul>
60    
61  <ul><li>  <ul><li>
# Line 32  Deep-Sea Res. I, 86, 1-20. Line 66  Deep-Sea Res. I, 86, 1-20.
66  </li></ul>  </li></ul>
67    
68  <ul><li>  <ul><li>
69    P. Heimbach, F. Straneo, O. Sergienko, and G. Hamilton, 2014:
70    International workshop on understanding the response of Greenlands marine-terminating glaciers to oceanic and atmospheric forcing: Challenges to improving observations, process understanding and modeling. June 4-7, 2013, Beverly, MA, USA.
71    <a href="http://www.usclivar.org/sites/default/files/documents/2014/2013GRISOWorkshopReport_v2_0.pdf">US CLIVAR Report 2014-1</a>, US CLIVAR Project Office, Washington DC, 20006.
72    </ul></li>
73    
74    <ul><li>
75  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
76  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
77  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), 36, S267–S295.
78    </li></ul>
79    
80    <ul><li>
81    V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin,
82    2014: <a href="http://ecco2.org/manuscripts/2014/Fouest2014.pdf"> Modeling the
83    impact of riverine DON removal by marine bacterioplankton on primary
84    production in the Arctic Ocean.</a> Biogeosciences Discuss., 11, 16953–16992.
85  </li></ul>  </li></ul>
86    
87  <ul><li>  <ul><li>
88  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
89  D. Menemenlis, L. Ott, S. Pawson, R. Nassar, D. Jones, and J. Collatz,  G. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
90  Carbon Monitoring System Flux estimation and attribution (CMS-Flux):  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
91  Impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial  Carbon monitoring system flux estimation and attribution: Impact of
92  biospheric sources and sinks, Tellus B, in press.  ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
93    sources and sinks.</a> Tellus B, 66, 22486.
94  </li></ul>  </li></ul>
95    
96  <ul><li>  <ul><li>
# Line 54  model.</a> J. Mar. Syst., 129, 437-451. Line 102  model.</a> J. Mar. Syst., 129, 437-451.
102  </li></ul>  </li></ul>
103    
104  <ul><li>  <ul><li>
105  C. Piecuch and R. Ponte, 2014:  Mechanisms of global mean steric sea level change.  J. Clim., in press.  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
106    level change.  J. Clim., 27, 824-834.
107  </li></ul>  </li></ul>
108    
109  <ul><li>  <ul><li>
110  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice  R. Ponte, and C. Piecuch, 2014: Interannual bottom pressure signals
111  deformation in a coupled ocean-sea ice model and in satellite remote  in the Australian-Antarctic and Bellingshausen Basins. J. Phys. Oceanogr.,
112  sensing data. J. Geophys. Res., submitted.  44, 1456-1465.
113  </li></ul>  </li></ul>
114    
115  <ul><li>  <ul><li>
116  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
117  ocean variability, J. Phys. Oceanogr., 44, 944-966.  of periodic intermediary flows on submarine melting of a Greenland glacier.
118    J. Geophys. Res., 119, 7078-7098.
119    </ul></li>
120    
121    <ul><li>
122    H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
123    M. Schodlok, and A. Khazendar,
124    2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
125    Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
126    to climate forcing for the next 50 years.</a> The Cryosphere, 8,
127    1699-1710.
128  </li></ul>  </li></ul>
129    
130  <ul><li>  <ul><li>
131  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the Abyssal Ocean. J. Phys. Oceanogr., in press.  N. Vinogradova,  R. Ponte, I. Fukumori, and O. Wang, 2014:
132    Estimating satellite salinity errors for assimilation of Aquarius and SMOS
133    data into climate models. J. Geophys. Res., 119.
134  </li></ul>  </li></ul>
135    
136  <ul><li>  <ul><li>
137  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent vertical mixing using seasonally averaged observations from the TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
138    ocean variability, J. Phys. Oceanogr., 44, 944-966.
139  </li></ul>  </li></ul>
140    
141    <ul><li>
142    C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
143    Abyssal Ocean. J. Phys. Oceanogr., 44, 2013-2030.
144    </li></ul>

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