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1 <ul><li>
2 R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy
3 mixing in a circumpolar channel. Ocean Modelling, submitted.
4 </li></ul>
5
6 <ul><li>
7 H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
8 K. Bowman, and H. Zhang, 2015:
9 <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
10 Green's Functions to initialize and adjust a global, eddying ocean
11 biogeochemistry general circulation model.</a> Ocean Modelling,
12 submitted.
13 </li></ul>
14
15 <ul><li>
16 M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the
17 origins of advective heat transport variability in the North Atlantic. J.
18 Clim., 18(10), 3943-3956, doi:10.1175/JCLI-D-14-00579.1.
19 </li></ul>
20
21 <ul><li>
22 K. Childers, 2015:
23 <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
24 Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
25 Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
26 </li></ul>
27
28 <ul><li>
29 P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
30 2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
31 importance of vertical resolution in sea ice algae production models.</a>
32 J. Mar. Syst., 145, 69-90.
33 </li></ul>
34
35 <ul><li>
36 M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
37 <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
38 Role of tides on the formation of the Antarctic Slope Front at the
39 Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
40 </li></ul>
41
42 <ul><li>
43 G. Forget and R.M. Ponte, 2015: The partition of regional sea level
44 variability. Prog. Oceanogr., n revision.
45 </ul></li>
46
47 <ul><li>
48 Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743, doi:10.5194/gmdd-8-3653-2015.
49 </ul></li>
50
51 <ul><li>
52 D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
53 2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
54 Quantifying the processes controlling intraseasonal mixed-layer temperature
55 variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
56 </li></ul>
57
58 <ul><li>
59 D. Halpern, D. Menemenlis, and X. Wang,
60 2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
61 Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
62 Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
63 Tech., 32, 131-143.
64 </li></ul>
65
66 <ul><li>
67 Heimbach, P., 2015: Application of derivative code in climate modeling.
68 in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
69 Adjoint Methods in Computational Science, Engineering, and Finance.
70 Dagstuhl Reports, 4(9), 14-16, doi:10.4230/DagRep.4.9.1
71 </li></ul>
72
73 <ul><li>
74 X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
75 Vertical redistribution of oceanic heat. 28(9), 3821-3833,
76 doi:10.1175/JCLI-D-14-00550.1.
77 </ul></li>
78
79 <ul><li>
80 L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
81 K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
82 2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
83 magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
84 from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
85 734-765.
86 </li></ul>
87
88 <ul><li>
89 C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
90 structure of ocean pressure fluctuations with application to
91 satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
92 </li></ul>
93
94 <ul><li>
95 G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice
96 deformation in a coupled ocean-sea ice model and in satellite remote
97 sensing data. J. Geophys. Res., submitted.
98 </li></ul>
99
100 <ul><li>
101 Storto, A., and 36 others, 2015: Steric sea level variability (1993-2010) in an ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press, doi:10.1007/s00382-015-2554-9
102 </li></ul>
103
104 <ul><li>
105 Vinogradova, N. T., Ponte, R. M., Quinn, K. J., Tamisiea, M. E., Campin, J.-M., and Davis, J. L., 2015:
106 Dynamic Adjustment of the Ocean Circulation to Self-Attraction and Loading Effects.
107 J. Phys. Oceanogr., 45(3), 678–689, doi:10.1175/JPO-D-14-0150.1
108 </li></ul>
109
110 <ul><li>
111 J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
112 2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
113 river discharge and river temperature climatology data set for the
114 pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
115 </li></ul>
116
117 <ul><li>
118 S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
119 I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent
120 vertical mixing using seasonally averaged observations from the
121 TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
122 </li></ul>
123
124 <ul><li>
125 V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
126 and the general circulation: Partitioning wind, buoyancy forcing, and
127 irreversible mixing. J. Phys. Oceanogr., submitted.
128 </li></ul>

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