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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>
19    
20    <ul><li>
21    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  Danabasoglu, G., 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, doi:10.1016/j.ocemod.2013.10.005.  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>  </li></ul>
38    
39  <ul><li>  <ul><li>
40  Dansereau, V., P. Heimbach, and M. Losch, 2014: Simulation of sub-ice shelf melt rates in a general circulation model: velocity-dependent transfer and the role of friction. J. Geophys. Res., accepted.  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>
62  B. Dushaw and D. Menemenlis, 2014:  B. Dushaw and D. Menemenlis, 2014:
63  <a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">  <a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
64  Antipodal acoustic thermometry: 1960, 2004.</a>  Antipodal acoustic thermometry: 1960, 2004.</a>
65  Deep-Sea Res. I, in press.  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>  </li></ul>
79    
80  <ul><li>  <ul><li>
81  M. Morlighem, E. Rignot, J. Mouginot, X. Wu, H. Seroussi, E. Larour, and  V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin,
82  J. Paden, 2014: Bed topography of Russell Glacier, Greenland, inferred from  2014: <a href="http://ecco2.org/manuscripts/2014/Fouest2014.pdf"> Modeling the
83  mass conservation using Operation IceBridge data. J. Glaciol., submitted.  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  M. Morlighem, H. Seroussi, E. Larour and E. Rignot, 2014: Inversion of basal  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
89  friction in Antarctica using exact and incomplete adjoints of a higher-order  G. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
90  model, J. Geophys. Res., submitted.  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
91    Carbon monitoring system flux estimation and attribution: Impact of
92    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>
97  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice  M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
98  deformation in a coupled ocean-sea ice model and in satellite remote  <a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
99  sensing data. J. Geophys. Res., submitted.  Ocean state estimation from hydrography and velocity observations
100    during EIFEX with a regional biogeochemical ocean circulation
101    model.</a> J. Mar. Syst., 129, 437-451.
102  </li></ul>  </li></ul>
103    
104  <ul><li>  <ul><li>
105  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
106  ocean variability, submitted.  level change.  J. Clim., 27, 824-834.
107  </li></ul>  </li></ul>
108    
109  <ul><li>  <ul><li>
110  Wunsch, C., G. Forget, and P. Heimbach, 2013: Bidecadal Thermal Changes in the Abyssal Ocean. J. Phys. Oceanogr., submitted.  R. Ponte, and C. Piecuch, 2014: Interannual bottom pressure signals
111    in the Australian-Antarctic and Bellingshausen Basins. J. Phys. Oceanogr.,
112    44, 1456-1465.
113    </li></ul>
114    
115    <ul><li>
116    R. Sciascia, C. Cenedese, D. Nicoli, P. Heimbach, and F. Straneo, 2014: Impact
117    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  Zedler, S., C.S. Jackson, F. Yao, P. Heimbach, A. Koehl, R.B. 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., submitted.  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>
137    C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
138    ocean variability, J. Phys. Oceanogr., 44, 944-966.
139    </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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