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1  <ul><li>  <ul><li>
2  R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy  M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
3  mixing in a circumpolar channel. Ocean Modelling, submitted.  (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97.
4  </li></ul>  </li></ul>
5    
6  <ul><li>  <ul><li>
# Line 8  H. Brix, D. Menemenlis, C. Hill, S. Dutk Line 8  H. Brix, D. Menemenlis, C. Hill, S. Dutk
8  K. Bowman, and H. Zhang, 2015:  K. Bowman, and H. Zhang, 2015:
9  <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using  <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
10  Green's Functions to initialize and adjust a global, eddying ocean  Green's Functions to initialize and adjust a global, eddying ocean
11  biogeochemistry general circulation model.</a> Ocean Modelling,  biogeochemistry general circulation model.</a> Ocean Model., 95, 1-14.
12  submitted.  </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. doi:10.1175/JCLI-D-14-00579.1.
17  </li></ul>  </li></ul>
18    
19  <ul><li>  <ul><li>
20  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the  R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
21  origins of advective heat transport variability in the North Atlantic. J.  Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
22  Clim., in press, doi:10.1175/JCLI-D-14-00579.1.  45, 387-406.
23  </li></ul>  </li></ul>
24    
25  <ul><li>  <ul><li>
# Line 33  J. Mar. Syst., 145, 69-90. Line 37  J. Mar. Syst., 145, 69-90.
37  </li></ul>  </li></ul>
38    
39  <ul><li>  <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:  M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
48  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
49  Role of tides on the formation of the Antarctic Slope Front at the  Role of tides on the formation of the Antarctic Slope Front at the
50  Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.  Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
51  </li></ul>  </li></ul>
52    
53  <ul><li>  <ul><li>
54  G. Forget and R.M. Ponte, 2015: The partition of regional sea level  G. Forget, D. Ferreira, and X. Liang, 2015: On the observability of
55  variability.  Prog. Oceanogr., submitted.  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. doi:10.5194/gmd-8-3071-2015.
73  </ul></li>  </ul></li>
74    
75  <ul><li>  <ul><li>
76  Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015:  The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
77  ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation.  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
78  Geoscientific Model Development, submitted.  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
79    CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
80    </ul></li>
81    
82    <ul><li>
83    McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
84    Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
85    Floats. JPO, 45, 1773-1793.
86    </ul></li>
87    
88    <ul><li>
89    V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
90    <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
91    Modeling the impact of riverine DON removal by marine bacterioplankton on
92    primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
93    </li></ul>
94    
95    <ul><li>
96    I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
97    fluctuation of ocean bottom pressure and sea level across the deep ocean
98    basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
99    152-172.
100  </ul></li>  </ul></li>
101    
102  <ul><li>  <ul><li>
# Line 66  Tech., 32, 131-143. Line 115  Tech., 32, 131-143.
115  </li></ul>  </li></ul>
116    
117  <ul><li>  <ul><li>
118  Heimbach, P., 2015: Application of derivative code in climate modeling.  P. Heimbach, 2015: Application of derivative code in climate modeling.
119  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
120  Adjoint Methods in Computational Science, Engineering, and Finance.  Adjoint Methods in Computational Science, Engineering, and Finance.
121  Dagstuhl Reports, 4(9), 14-16, doi:10.4230/DagRep.4.9.1  Dagstuhl Reports, 4, 14-16.
122  </li></ul>  </li></ul>
123    
124  <ul><li>  <ul><li>
125  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
126  Vertical redistribution of oceanic heat. in press,  Vertical redistribution of oceanic heat. 28, 3821-3833.
127  in press, doi:10.1175/JCLI-D-14-00550.1.  doi:10.1175/JCLI-D-14-00550.1.
128  </ul></li>  </ul></li>
129    
130  <ul><li>  <ul><li>
# Line 90  from NASA's Carbon Monitoring Flux Pilot Line 139  from NASA's Carbon Monitoring Flux Pilot
139  <ul><li>  <ul><li>
140  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
141  structure  of ocean pressure fluctuations with application to  structure  of ocean pressure fluctuations with application to
142  satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.  satellite-gravimetric observations. J. Atmos. Oce. Tech., 32, 603-613.
143  </li></ul>  </li></ul>
144    
145  <ul><li>  <ul><li>
146  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice  C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
147  deformation in a coupled ocean-sea ice model and in satellite remote  of contemporary sea level trends in a global ocean state estimate to effects
148  sensing data. J. Geophys. Res., submitted.  of geothermal fluxes, Ocean Model., 96, 214-220. doi:10.1016/j.ocemod.2015.10.008.
149  </li></ul>  </li></ul>
150    
151  <ul><li>  <ul><li>
152  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  K. J. Quinn, R. M. Ponte, and M. E. Tamisiea, 2015: Impact of self-attraction and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
 and J. Davis, 2015: Dynamic adjustment of the ocean circulation to  
 self-attraction and loading effects, J. Phys. Oceanogr., in press.  
153  </li></ul>  </li></ul>
154    
155  <ul><li>  <ul><li>
156  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  T. Van der Stocken, 2015:
157  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
158  river discharge and river temperature climatology data set for the  environmental drivers of mangrove propagule dispersal: A field and modeling
159  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.  approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
160    </li></ul>
161    
162    <ul><li>
163    A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
164    ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
165    doi:10.1007/s00382-015-2554-9
166    </li></ul>
167    
168    <ul><li>
169    Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
170    mixed layer depths in the north pacific detected by an ensemble of ocean
171    syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
172    </li></ul>
173    
174    <ul><li>
175    T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
176    mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
177    doi:10.1007/s00382-015-2637-7
178    </li></ul>
179    
180    <ul><li>
181    N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
182    2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
183    Loading Effects.  J. Phys. Oceanogr., 45, 678-689.
184    </li></ul>
185    
186    <ul><li>
187    X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
188    <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
189    Regional ocean forecasting systems and their applications: Design
190    consideration of such a system for the South China Sea.</a> Aquatic
191    Ecosystem Health & Management, 18, 443-453.
192  </li></ul>  </li></ul>
193    
194  <ul><li>  <ul><li>
195  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
196  I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
197  vertical mixing using seasonally averaged observations from the  river discharge and river temperature climatology data set for the
198  TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  pan-Arctic region.</a> Ocean Model., 88, 1-15.
199  </li></ul>  </li></ul>
200    
201  <ul><li>  <ul><li>
202  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
203  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
204  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
205  </li></ul>  </li></ul>
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