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1 <ul><li>
2 M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
3 (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97.
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 Model., 95, 1-14.
12 </li></ul>
13
14 <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
15 the origins of advective heat transport variability in the North Atlantic. J.
16 Clim., 18, 3943-3956.
17 </li></ul>
18
19 <ul><li>
20 R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
21 Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
22 45, 387-406.
23 </li></ul>
24
25 <ul><li>
26 K. Childers, 2015:
27 <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
28 Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
29 Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
30 </li></ul>
31
32 <ul><li>
33 P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
34 2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
35 importance of vertical resolution in sea ice algae production models.</a>
36 J. Mar. Syst., 145, 69-90.
37 </li></ul>
38
39 <ul><li>
40 I. Fenty, D. Menemenlis, and H. Zhang, 2015:
41 <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
42 Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
43 doi:10.1007/s00382-015-2796-6
44 </li></ul>
45
46 <ul><li>
47 M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
48 <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
49 Role of tides on the formation of the Antarctic Slope Front at the
50 Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
51 </li></ul>
52
53 <ul><li>
54 G. Forget, D. Ferreira, and X. Liang, 2015: On the observability of
55 turbulent transport rates by argo: supporting evidence from an
56 inversion experiment. Ocean Science, 11, 839-853.
57 </li></ul>
58
59 <ul><li>
60 G. Forget and R.M. Ponte, 2015:
61 <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
62 The partition of regional sea level variability.</a> Prog. Oceanogr.,
63 137, 173-195.
64 </ul></li>
65
66 <ul><li>
67 G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
68 C. Wunsch, 2015:
69 <a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
70 ECCO version 4: an integrated framework for non-linear inverse
71 modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
72 3071-3104.
73 </ul></li>
74
75 <ul><li>
76 G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and
77 R.M. Ponte, 2015:
78 <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
79 Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
80 CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
81 </ul></li>
82
83 <ul><li>
84 McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
85 Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
86 Floats. JPO, 45, 1773-1793.
87 </ul></li>
88
89 <ul><li>
90 V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
91 <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
92 Modeling the impact of riverine DON removal by marine bacterioplankton on
93 primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
94 </li></ul>
95
96 <ul><li>
97 I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
98 fluctuation of ocean bottom pressure and sea level across the deep ocean
99 basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134,
100 152-172.
101 </ul></li>
102
103 <ul><li>
104 D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
105 2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
106 Quantifying the processes controlling intraseasonal mixed-layer temperature
107 variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
108 </li></ul>
109
110 <ul><li>
111 D. Halpern, D. Menemenlis, and X. Wang,
112 2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
113 Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
114 Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
115 Tech., 32, 131-143.
116 </li></ul>
117
118 <ul><li>
119 P. Heimbach, 2015: Application of derivative code in climate modeling.
120 in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
121 Adjoint Methods in Computational Science, Engineering, and Finance.
122 Dagstuhl Reports, 4, 14-16.
123 </li></ul>
124
125 <ul><li>
126 X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
127 Vertical redistribution of oceanic heat. 28, 3821-3833.
128 </ul></li>
129
130 <ul><li>
131 L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
132 K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
133 2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
134 magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
135 from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
136 734-765.
137 </li></ul>
138
139 <ul><li>
140 C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
141 structure of ocean pressure fluctuations with application to
142 satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
143 </li></ul>
144
145 <ul><li>
146 C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
147 of contemporary sea level trends in a global ocean state estimate to effects
148 of geothermal fluxes, Ocean Model., 96, 214-220.
149 </li></ul>
150
151 <ul><li>
152 T. Van der Stocken, 2015:
153 <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
154 environmental drivers of mangrove propagule dispersal: A field and modeling
155 approach.</a> Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
156 </li></ul>
157
158 <ul><li>
159 A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
160 ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
161 doi:10.1007/s00382-015-2554-9
162 </li></ul>
163
164 <ul><li>
165 Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
166 mixed layer depths in the north pacific detected by an ensemble of ocean
167 syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
168 </li></ul>
169
170 <ul><li>
171 T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
172 mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
173 doi:10.1007/s00382-015-2637-7
174 </li></ul>
175
176 <ul><li>
177 N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
178 2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
179 Loading Effects. J. Phys. Oceanogr., 45, 678-689.
180 </li></ul>
181
182 <ul><li>
183 X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
184 <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
185 Regional ocean forecasting systems and their applications: Design
186 consideration of such a system for the South China Sea.</a> Aquatic
187 Ecosystem Health & Management, 18, 443-453.
188 </li></ul>
189
190 <ul><li>
191 J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
192 2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
193 river discharge and river temperature climatology data set for the
194 pan-Arctic region.</a> Ocean Model., 88, 1-15.
195 </li></ul>
196
197 <ul><li>
198 V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
199 and the general circulation: Partitioning wind, buoyancy forcing, and
200 irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
201 </li></ul>

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