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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.
 submitted.  
12  </li></ul>  </li></ul>
13    
14  <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining  <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.  the origins of advective heat transport variability in the North Atlantic. J.
16  Clim., 18, 3943-3956.  Clim., 18, 3943-3956. doi:10.1175/JCLI-D-14-00579.1.
17  </li></ul>  </li></ul>
18    
19  <ul><li>  <ul><li>
# Line 38  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., in press.  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., accepted.  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  G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,  The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
77  2015: ECCO version 4: an integrated framework for non-linear inverse modeling  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
78  and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
79    CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
80  </ul></li>  </ul></li>
81    
82  <ul><li>  <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  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  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,  basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
# Line 86  Dagstuhl Reports, 4, 14-16. Line 123  Dagstuhl Reports, 4, 14-16.
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. 28, 3821-3833,  Vertical redistribution of oceanic heat. 28, 3821-3833.
127    doi:10.1175/JCLI-D-14-00550.1.
128  </ul></li>  </ul></li>
129    
130  <ul><li>  <ul><li>
# Line 101  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>
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. doi:10.1016/j.ocemod.2015.10.008.
149  </li></ul>  </li></ul>
150    
151  <ul><li>  <ul><li>
152  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice  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.
 deformation in a coupled ocean-sea ice model and in satellite remote  
 sensing data. J. Geophys. Res., submitted.  
153  </li></ul>  </li></ul>
154    
155  <ul><li>  <ul><li>
156  T. Van der Stocken, 2015:  T. Van der Stocken, 2015:
157  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
158  environmental drivers of mangrove propagule dispersal: A field and modeling  environmental drivers of mangrove propagule dispersal: A field and modeling
159  approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Université  approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
 Libre de Bruxelles.  
160  </li></ul>  </li></ul>
161    
162  <ul><li>  <ul><li>
163  A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an  A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
164  ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,  ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
165  doi:10.1007/s00382-015-2554-9  doi:10.1007/s00382-015-2554-9
166  </li></ul>  </li></ul>
167    
168  <ul><li>  <ul><li>
169  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
170  layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,  mixed layer depths in the north pacific detected by an ensemble of ocean
171  doi:10.1007/s00382-015-2637-7.  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>  </li></ul>
179    
180  <ul><li>  <ul><li>
# Line 137  Loading Effects.  J. Phys. Oceanogr., 45 Line 184  Loading Effects.  J. Phys. Oceanogr., 45
184  </li></ul>  </li></ul>
185    
186  <ul><li>  <ul><li>
187  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
188  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
189  river discharge and river temperature climatology data set for the  Regional ocean forecasting systems and their applications: Design
190  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.  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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