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1  <ul><li>  <ul><li>
2  R. Abernathey, D. Ferreira, and A. Klocker, 2013: Diagnostics of eddy  R. Abernathey, D. Ferreira, and A. Klocker, 2014: Diagnostics of eddy
3  mixing in a circumpolar channel. Ocean Modelling, submitted.  mixing in a circumpolar channel. Ocean Modelling, submitted.
4  </li></ul>  </li></ul>
5    
6  <ul><li>  <ul><li>
7  H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang, K. Bowman,  M. Azaneu, R. Kerr, and M. Mata,
8  and H. Zhang, 2013: Using Green's Functions to initialize and adjust a global,  2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">
9  eddying ocean biogeochemistry general circulation model. Ocean Modelling,  Assessment of the ECCO2 reanalysis on the representation of Antarctic
10    Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.
11    </li></ul>
12    
13    <ul><li>
14    H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
15    K. Bowman, and H. Zhang, 2014:
16    <a href="http://ecco2.org/manuscripts/2014/Brix2014.pdf"> Using
17    Green's Functions to initialize and adjust a global, eddying ocean
18    biogeochemistry general circulation model.</a> Ocean Modelling,
19  submitted.  submitted.
20  </li></ul>  </li></ul>
21    
22  <ul><li>  <ul><li>
23  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2013:  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
24  Low-frequency SST and upper-ocean heat content variability in the North  Low-frequency SST and upper-ocean heat content variability in the North
25  Atlantic. J. Clim., submitted.  Atlantic. J. Clim., 27, 4996-5018.
26    </li></ul>
27    
28    <ul><li>
29    M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014: Determining the
30    origins of advective heat transport variability in the North Atlantic. J.
31    Clim., in revision.
32    </li></ul>
33    
34    <ul><li>
35    A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
36    atmospheric reanalysis products for the Arctic Ocean and implications
37    for uncertainties in air-sea fluxes, J. Clim., 27, 5411-5421.
38    </li></ul>
39    
40    <ul><li>
41    R. Chen, G. Flerl, and C. Wunsch, 2014:
42    <a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
43    description of local and nonlocal eddy-mean flow interaction in a
44    global eddy-permitting state estimate. </a> J. Phys. Oceanogr., 44,
45    2336-2352.
46  </li></ul>  </li></ul>
47    
48  <ul><li>  <ul><li>
49  G. Danabasoglu, et al., 2013:  G. Danabasoglu, et al., 2014: North Atlantic simulations in
50  North Atlantic simulations in Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean states.  Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part
51  Ocean Modelling, submitted.  I: Mean states. Ocean Modelling, 73, 76-107.
52  </li></ul>  </li></ul>
53    
54  <ul><li>  <ul><li>
55  V. Dansereau, P. Heimbach, and M. Losch, 2013: Simulation of sub-ice shelf  B. Dushaw, 2014:
56  melt rates in a general circulation model: velocity-dependent transfer and the  <a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
57  role of friction. J. Geophys. Res., submitted.  Assessing the horizontal refraction of ocean acoustic tomography
58    signals using high-resolution ocean state estimates.</a>
59    Acoust. Soc. Am., 136, 122.
60  </li></ul>  </li></ul>
61    
62  <ul><li>  <ul><li>
63  B. Dushaw and D. Menemenlis, 2013: Antipodal acoustic thermometry: 1960,  B. Dushaw and D. Menemenlis, 2014:
64  2004. Deep-Sea Rese. I, in press.  <a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
65    Antipodal acoustic thermometry: 1960, 2004.</a>
66    Deep-Sea Res. I, 86, 1-20.
67  </li></ul>  </li></ul>
68    
69  <ul><li>  <ul><li>
70  A. Kalmikov and P. Heimbach, 2013: A Hessian-based method for Uncertainty  M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:
71    <a href="http://ecco2.org/manuscripts/2014/Flexas2014.pdf">
72    Role of tides on the formation of the Antarctic Slope Front at the
73    Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
74    </li></ul>
75    
76    <ul><li>
77    D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:
78    Quantifying the processes controlling intraseasonal mixed-layer
79    temperature variability in the tropical Indian
80    Ocean. J. Geophys. Res., revised.
81    </li></ul>
82    
83    <ul><li>
84    D. Halpern, D. Menemenlis, and X. Wang,
85    2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">
86    Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
87    Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
88    Tech., in press.
89    </li></ul>
90    
91    <ul><li>
92    A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
93  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
94  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), submitted.
95  </li></ul>  </li></ul>
96    
97  <ul><li>  <ul><li>
98  M. Morlighem, E. Rignot, J. Mouginot, X. Wu, H. Seroussi, E. Larour, and  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
99  J. Paden, 2013: Bed topography of Russell Glacier, Greenland, inferred from  J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
100  mass conservation using Operation IceBridge data. J. Glaciol., submitted.  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
101    Carbon monitoring system flux estimation and attribution: Impact of
102    ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
103    sources and sinks.</a> Tellus B, 66, 22486.
104  </li></ul>  </li></ul>
105    
106  <ul><li>  <ul><li>
107  M. Morlighem, H. Seroussi, E. Larour and E. Rignot, 2013: Inversion of basal  M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
108  friction in Antarctica using exact and incomplete adjoints of a higher-order  <a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
109  model, J. Geophys. Res., submitted.  Ocean state estimation from hydrography and velocity observations
110    during EIFEX with a regional biogeochemical ocean circulation
111    model.</a> J. Mar. Syst., 129, 437-451.
112  </li></ul>  </li></ul>
113    
114  <ul><li>  <ul><li>
115  F. Roquet, C. Wunsch, G. Forget, P. Heimbach, et al., 2013:  L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,
116  On the contribution of seal hydrographic data to the Southern Ocean Observing  C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,
117  System. Proc. Natl. Acad. Sci. USA, submitted.  2014: Quantifying the observability of CO2 flux uncertainty in
118    atmospheric CO2 records using products from NASA's Carbon Monitoring
119    Flux Pilot Project. J. Geophys. Res., submitted.
120  </li></ul>  </li></ul>
121    
122  <ul><li>  <ul><li>
123  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2013: Sea ice  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2014: Vertical
124    structure  of ocean pressure fluctuations with application
125    to satellite-gravimetric observations. J. Atmos. Oce. Tech., in revision.
126    </li></ul>
127    
128    <ul><li>
129    C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
130    level change.  J. Clim., 27, 824-834.
131    </li></ul>
132    
133    <ul><li>
134    R. Ponte, and C. Piecuch, 2014: Interannual bottom pressure signals
135    in the Australian-Antarctic and Bellingshausen Basins. J. Phys. Oceanogr.,
136    44, 1456-1465.
137    </li></ul>
138    
139    <ul><li>
140    H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
141    M. Schodlok, and A. Khazendar,
142    2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
143    Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
144    to climate forcing for the next 50 years.</a> The Cryosphere, 8,
145    1699-1710.
146    </li></ul>
147    
148    <ul><li>
149    G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice
150  deformation in a coupled ocean-sea ice model and in satellite remote  deformation in a coupled ocean-sea ice model and in satellite remote
151  sensing data. J. Geophys. Res., submitted.  sensing data. J. Geophys. Res., submitted.
152  </li></ul>  </li></ul>
153    
154  <ul><li>  <ul><li>
155  C. Wortham and C. Wunsch, 2013: A multi-dimensional spectral description of  N. Vinogradova,  R. Ponte, I. Fukumori, and O. Wang, 2014:
156  ocean variability, submitted.  Estimating satellite salinity errors for assimilation of Aquarius and SMOS
157    data into climate models. J. Geophys. Res., 119.
158    </li></ul>
159    
160    <ul><li>
161    N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,
162    and J. Davis, 2014: Dynamic adjustment of the ocean circulation to
163    self-attraction and loading effects, J. Phys. Oceanogr., in revision.
164    </li></ul>
165    
166    <ul><li>
167    C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
168    ocean variability, J. Phys. Oceanogr., 44, 944-966.
169    </li></ul>
170    
171    <ul><li>
172    C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
173    Abyssal Ocean. J. Phys. Oceanogr., in press.
174    </li></ul>
175    
176    <ul><li>
177    S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
178    I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent
179    vertical mixing using seasonally averaged observations from the
180    TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
181  </li></ul>  </li></ul>
182    
183  <ul><li>  <ul><li>
184  C. Wunsch, 2013: Bidecadal thermal changes in the abyssal ocean and the  V. Zemskova, B. White, and A. Scotti, 2014: Available potential energy
185  observational challenge, submitted.  and the general circulation: Partitioning wind, buoyancy forcing, and
186    irreversible mixing. J. Phys. Oceanogr., submitted.
187  </li></ul>  </li></ul>
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