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1
2 <ul><li>
3 Forget, G., D. Ferreira, and X. Liang, 2015: On the observability of
4 turbulent transport rates by argo: supporting evidence from an
5 inversion experiment. Ocean Science, 11, 839-853, doi:10.5194/os-11-839-2015.
6 </li></ul>
7
8 <ul><li>
9 Piecuch, C. G., P. Heimbach, R. M. Ponte, and G. Forget, 2015: Sensitivity
10 of contemporary sea level trends in a global ocean state estimate to effects
11 of geothermal fluxes, Ocean Model., in press.
12 </li></ul>
13
14 <ul><li>
15 R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy
16 mixing in a circumpolar channel. Ocean Modelling, submitted.
17 </li></ul>
18
19 <ul><li>
20 H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
21 K. Bowman, and H. Zhang, 2015:
22 <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
23 Green's Functions to initialize and adjust a global, eddying ocean
24 biogeochemistry general circulation model.</a> Ocean Modelling,
25 in press.
26 </li></ul>
27
28 <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
29 the origins of advective heat transport variability in the North Atlantic. J.
30 Clim., 18, 3943-3956.
31 </li></ul>
32
33 <ul><li>
34 R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
35 Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
36 45, 387-406.
37 </li></ul>
38
39 <ul><li>
40 K. Childers, 2015:
41 <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
42 Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
43 Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
44 </li></ul>
45
46 <ul><li>
47 P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
48 2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
49 importance of vertical resolution in sea ice algae production models.</a>
50 J. Mar. Syst., 145, 69-90.
51 </li></ul>
52
53 <ul><li>
54 I. Fenty, D. Menemenlis, and H. Zhang, 2015:
55 <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
56 Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn., in press.
57 </li></ul>
58
59 <ul><li>
60 M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
61 <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
62 Role of tides on the formation of the Antarctic Slope Front at the
63 Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
64 </li></ul>
65
66 <ul><li>
67 G. Forget and R.M. Ponte, 2015: The partition of regional sea level
68 variability. Prog. Oceanogr., (137), 173-195, doi:10.1016/j.pocean.2015.06.002.
69 </ul></li>
70
71 <ul><li>
72 G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,
73 2015: ECCO version 4: an integrated framework for non-linear inverse modeling
74 and global ocean state estimation. Geoscientific Model Development, 8,
75 3071-3104, doi:10.5194/gmd-8-3071-2015.
76 </ul></li>
77
78 <ul><li>
79 McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
80 Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
81 Floats. JPO, 45, 1773-1793.
82 </ul></li>
83
84 <ul><li>
85 V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
86 <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
87 Modeling the impact of riverine DON removal by marine bacterioplankton on
88 primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
89 </li></ul>
90
91 <ul><li>
92 I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
93 fluctuation of ocean bottom pressure and sea level across the deep ocean
94 basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134,
95 152-172.
96 </ul></li>
97
98 <ul><li>
99 D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
100 2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
101 Quantifying the processes controlling intraseasonal mixed-layer temperature
102 variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
103 </li></ul>
104
105 <ul><li>
106 D. Halpern, D. Menemenlis, and X. Wang,
107 2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
108 Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
109 Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
110 Tech., 32, 131-143.
111 </li></ul>
112
113 <ul><li>
114 P. Heimbach, 2015: Application of derivative code in climate modeling.
115 in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
116 Adjoint Methods in Computational Science, Engineering, and Finance.
117 Dagstuhl Reports, 4, 14-16.
118 </li></ul>
119
120 <ul><li>
121 X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
122 Vertical redistribution of oceanic heat. 28, 3821-3833.
123 </ul></li>
124
125 <ul><li>
126 L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
127 K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
128 2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
129 magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
130 from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
131 734-765.
132 </li></ul>
133
134 <ul><li>
135 C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
136 structure of ocean pressure fluctuations with application to
137 satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
138 </li></ul>
139
140 <ul><li>
141 G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice
142 deformation in a coupled ocean-sea ice model and in satellite remote
143 sensing data. J. Geophys. Res., submitted.
144 </li></ul>
145
146 <ul><li>
147 T. Van der Stocken, 2015:
148 <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
149 environmental drivers of mangrove propagule dispersal: A field and modeling
150 approach.</a> Ph.D. Thesis, Vrije Universiteit Brussel and the Université
151 Libre de Bruxelles.
152 </li></ul>
153
154 <ul><li>
155 A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
156 ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,
157 doi:10.1007/s00382-015-2554-9
158 </li></ul>
159
160 <ul><li>
161 Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
162 mixed layer depths in the north pacific detected by an ensemble of ocean syntheses.
163 Climate Dynamics, 1-17, doi:10.1007/s00382-015-2762-3.
164 </li></ul>
165
166 <ul><li>
167 T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed
168 layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,
169 doi:10.1007/s00382-015-2637-7.
170 </li></ul>
171
172 <ul><li>
173 N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
174 2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
175 Loading Effects. J. Phys. Oceanogr., 45, 678-689.
176 </li></ul>
177
178 <ul><li>
179 J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
180 2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
181 river discharge and river temperature climatology data set for the
182 pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
183 </li></ul>
184
185 <ul><li>
186 S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
187 I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent
188 vertical mixing using seasonally averaged observations from the
189 TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
190 </li></ul>
191
192 <ul><li>
193 V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
194 and the general circulation: Partitioning wind, buoyancy forcing, and
195 irreversible mixing. J. Phys. Oceanogr., submitted.
196 </li></ul>
197
198 <ul><li>
199 Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
200 (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97,
201 doi:10.1080/1755876X.2015.1022329.
202 </li></ul>
203

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