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1 <ul><li>
2 M. Azaneu, R. Kerr, and M. Mata,
3 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>
7
8 <ul><li>
9 M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
10 Low-frequency SST and upper-ocean heat content variability in the North
11 Atlantic. J. Clim., 27, 4996-5018.
12 </li></ul>
13
14 <ul><li>
15 A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
16 atmospheric reanalysis products for the Arctic Ocean and implications
17 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>
27
28 <ul><li>
29 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
55 T. Dotto, R. Kerr, M. Mata, M. Azaneu, I. Wainer, E. Fahrbach, and G. Rohardt,
56 2014: <a href="http://www.ocean-sci.net/10/523/2014/os-10-523-2014.html">
57 Assessment of the structure and variability of Weddell Sea water masses in
58 distinct ocean reanalysis products.</a> Ocean Sci., 10, 523-546.
59 </li></ul>
60
61 <ul><li>
62 B. Dushaw, 2014:
63 <a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
64 Assessing the horizontal refraction of ocean acoustic tomography
65 signals using high-resolution ocean state estimates.</a>
66 Acoust. Soc. Am., 136, 122.
67 </li></ul>
68
69 <ul><li>
70 B. Dushaw and D. Menemenlis, 2014:
71 <a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
72 Antipodal acoustic thermometry: 1960, 2004.</a>
73 Deep-Sea Res. I, 86, 1-20.
74 </li></ul>
75
76 <ul><li>
77 P. Heimbach, F. Straneo, O. Sergienko, and G. Hamilton, 2014:
78 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.
79 <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.
80 </ul></li>
81
82 <ul><li>
83 A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
84 Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
85 (Special Section on Planet Earth and Big Data), 36, S267–S295.
86 </li></ul>
87
88 <ul><li>
89 J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
90 G. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
91 2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
92 Carbon monitoring system flux estimation and attribution: Impact of
93 ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
94 sources and sinks.</a> Tellus B, 66, 22486.
95 </li></ul>
96
97 <ul><li>
98 M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
99 <a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
100 Ocean state estimation from hydrography and velocity observations
101 during EIFEX with a regional biogeochemical ocean circulation
102 model.</a> J. Mar. Syst., 129, 437-451.
103 </li></ul>
104
105 <ul><li>
106 C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
107 level change. J. Clim., 27, 824-834.
108 </li></ul>
109
110 <ul><li>
111 R. Ponte, and C. Piecuch, 2014: Interannual bottom pressure signals
112 in the Australian-Antarctic and Bellingshausen Basins. J. Phys. Oceanogr.,
113 44, 1456-1465.
114 </li></ul>
115
116 <ul><li>
117 R. Sciascia, C. Cenedese, D. Nicoli, P. Heimbach, and F. Straneo, 2014: Impact
118 of periodic intermediary flows on submarine melting of a Greenland glacier.
119 J. Geophys. Res., 119, 7078-7098.
120 </ul></li>
121
122 <ul><li>
123 H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
124 M. Schodlok, and A. Khazendar,
125 2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
126 Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
127 to climate forcing for the next 50 years.</a> The Cryosphere, 8,
128 1699-1710.
129 </li></ul>
130
131 <ul><li>
132 N. Vinogradova, R. Ponte, I. Fukumori, and O. Wang, 2014:
133 Estimating satellite salinity errors for assimilation of Aquarius and SMOS
134 data into climate models. J. Geophys. Res., 119.
135 </li></ul>
136
137 <ul><li>
138 C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
139 ocean variability, J. Phys. Oceanogr., 44, 944-966.
140 </li></ul>
141
142 <ul><li>
143 C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
144 Abyssal Ocean. J. Phys. Oceanogr., 44, 2013-2030.
145 </li></ul>

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