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1 dimitri 1.1 <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 dimitri 1.18 in press.
13 dimitri 1.1 </li></ul>
14    
15 dimitri 1.17 <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
16     the origins of advective heat transport variability in the North Atlantic. J.
17     Clim., 18, 3943-3956.
18 dimitri 1.1 </li></ul>
19    
20     <ul><li>
21 dimitri 1.17 R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
22     Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
23     45, 387-406.
24 heimbach 1.15 </li></ul>
25    
26     <ul><li>
27 dimitri 1.5 K. Childers, 2015:
28     <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
29     Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
30     Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
31     </li></ul>
32    
33     <ul><li>
34 dimitri 1.4 P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
35     2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
36     importance of vertical resolution in sea ice algae production models.</a>
37     J. Mar. Syst., 145, 69-90.
38     </li></ul>
39    
40     <ul><li>
41 dimitri 1.1 M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
42     <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
43     Role of tides on the formation of the Antarctic Slope Front at the
44 dimitri 1.17 Weddell-Scotia Confluence.</a> J. Geophys. Res., in press.
45 dimitri 1.1 </li></ul>
46    
47     <ul><li>
48     G. Forget and R.M. Ponte, 2015: The partition of regional sea level
49 heimbach 1.16 variability. Prog. Oceanogr., accepted.
50 dimitri 1.1 </ul></li>
51    
52     <ul><li>
53 dimitri 1.17 G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,
54     2015: ECCO version 4: an integrated framework for non-linear inverse modeling
55     and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.
56 heimbach 1.13 </ul></li>
57    
58     <ul><li>
59 dimitri 1.18 V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
60     <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
61     Modeling the impact of riverine DON removal by marine bacterioplankton on
62     primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
63     </li></ul>
64    
65     <ul><li>
66 dimitri 1.17 I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
67     fluctuation of ocean bottom pressure and sea level across the deep ocean
68     basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134,
69     152-172.
70 heimbach 1.15 </ul></li>
71    
72     <ul><li>
73 dimitri 1.7 D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
74     2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
75     Quantifying the processes controlling intraseasonal mixed-layer temperature
76 dimitri 1.12 variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
77 dimitri 1.1 </li></ul>
78    
79     <ul><li>
80     D. Halpern, D. Menemenlis, and X. Wang,
81     2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
82     Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
83     Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
84     Tech., 32, 131-143.
85     </li></ul>
86    
87     <ul><li>
88 dimitri 1.17 P. Heimbach, 2015: Application of derivative code in climate modeling.
89 heimbach 1.13 in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
90     Adjoint Methods in Computational Science, Engineering, and Finance.
91 dimitri 1.17 Dagstuhl Reports, 4, 14-16.
92 dimitri 1.2 </li></ul>
93    
94     <ul><li>
95 dimitri 1.1 X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
96 dimitri 1.17 Vertical redistribution of oceanic heat. 28, 3821-3833,
97 dimitri 1.1 </ul></li>
98    
99     <ul><li>
100 dimitri 1.9 L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
101     K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
102 dimitri 1.6 2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
103 dimitri 1.9 magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
104     from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
105 dimitri 1.10 734-765.
106 dimitri 1.1 </li></ul>
107    
108     <ul><li>
109     C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
110 dimitri 1.3 structure of ocean pressure fluctuations with application to
111     satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
112 dimitri 1.1 </li></ul>
113    
114     <ul><li>
115     G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice
116     deformation in a coupled ocean-sea ice model and in satellite remote
117     sensing data. J. Geophys. Res., submitted.
118     </li></ul>
119    
120     <ul><li>
121 dimitri 1.17 T. Van der Stocken, 2015:
122     <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
123     environmental drivers of mangrove propagule dispersal: A field and modeling
124     approach.</a> Ph.D. Thesis, Vrije Universiteit Brussel and the Université
125     Libre de Bruxelles.
126     </li></ul>
127    
128     <ul><li>
129     A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
130     ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,
131     doi:10.1007/s00382-015-2554-9
132 heimbach 1.14 </li></ul>
133    
134     <ul><li>
135 dimitri 1.17 T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed
136     layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,
137     doi:10.1007/s00382-015-2637-7.
138 heimbach 1.15 </li></ul>
139    
140     <ul><li>
141 dimitri 1.17 N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
142     2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
143     Loading Effects. J. Phys. Oceanogr., 45, 678-689.
144 dimitri 1.1 </li></ul>
145    
146     <ul><li>
147 dimitri 1.6 J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
148     2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
149     river discharge and river temperature climatology data set for the
150 dimitri 1.11 pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
151 dimitri 1.1 </li></ul>
152    
153     <ul><li>
154     S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
155     I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent
156     vertical mixing using seasonally averaged observations from the
157     TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
158     </li></ul>
159    
160     <ul><li>
161     V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
162     and the general circulation: Partitioning wind, buoyancy forcing, and
163     irreversible mixing. J. Phys. Oceanogr., submitted.
164     </li></ul>

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