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1  <ul><li>  <ul><li>
 R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy  
 mixing in a circumpolar channel. Ocean Modelling, submitted.  
 </li></ul>  
   
 <ul><li>  
2  M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project  M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
3  (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97.  (ora-ip). J. Oper. Oceanogr., 8 (sup1), s80-s97.
4  </li></ul>  </li></ul>
5    
6  <ul><li>  <ul><li>
# Line 13  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, 95, 1-14.  biogeochemistry general circulation model.</a> Ocean Model., 95, 1-14.
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
# Line 28  Striations in a Subtropical Gyre: A Spec Line 23  Striations in a Subtropical Gyre: A Spec
23  </li></ul>  </li></ul>
24    
25  <ul><li>  <ul><li>
 K. Childers, 2015:  
 <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">  
 Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>  
 Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.  
 </li></ul>  
   
 <ul><li>  
26  P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,  P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
27  2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The  2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
28  importance of vertical resolution in sea ice algae production models.</a>  importance of vertical resolution in sea ice algae production models.</a>
# Line 44  J. Mar. Syst., 145, 69-90. Line 32  J. Mar. Syst., 145, 69-90.
32  <ul><li>  <ul><li>
33  I. Fenty, D. Menemenlis, and H. Zhang, 2015:  I. Fenty, D. Menemenlis, and H. Zhang, 2015:
34  <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
35  Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn., in press.  Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
36    doi:10.1007/s00382-015-2796-6
37  </li></ul>  </li></ul>
38    
39  <ul><li>  <ul><li>
# Line 77  modeling and global ocean state estimati Line 66  modeling and global ocean state estimati
66  </ul></li>  </ul></li>
67    
68  <ul><li>  <ul><li>
69  G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and  The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
 R.M. Ponte, 2015:  
70  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
71  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
72  CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.  CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
73  </ul></li>  </ul></li>
74    
75  <ul><li>  <ul><li>
76  McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean  I. Fukumori, 2015: Combining models and data in large-scale oceanography:
77  Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling  Examples from the Consortium for Estimating the Circulation and Climate of the
78  Floats. JPO, 45, 1773-1793.  Ocean (ECCO). Advanced Data Assimilation for Geosciences: Lecture Notes of the
79  </ul></li>  Les Houches School of Physics: Special Issue, June 2012.
   
 <ul><li>  
 V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:  
 <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">  
 Modeling the impact of riverine DON removal by marine bacterioplankton on  
 primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.  
80  </li></ul>  </li></ul>
81    
82  <ul><li>  <ul><li>
83  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
84  fluctuation of ocean bottom pressure and sea level across the deep ocean  fluctuation of ocean bottom pressure and sea level across the deep ocean
85  basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,  basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134, 152-172.
86  152-172.  </li></ul>
 </ul></li>  
87    
88  <ul><li>  <ul><li>
89  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
# Line 127  Dagstuhl Reports, 4, 14-16. Line 108  Dagstuhl Reports, 4, 14-16.
108  </li></ul>  </li></ul>
109    
110  <ul><li>  <ul><li>
111    V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
112    <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
113    Modeling the impact of riverine DON removal by marine bacterioplankton on
114    primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
115    </li></ul>
116    
117    <ul><li>
118  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
119  Vertical redistribution of oceanic heat. 28, 3821-3833.  Vertical redistribution of oceanic heat. J. Clim., 28, 3821-3833.
120    </ul></li>
121    
122    <ul><li>
123    K. McCaffrey, B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
124    Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
125    Floats. J. Phys. Oceanogr., 45, 1773-1793.
126  </ul></li>  </ul></li>
127    
128  <ul><li>  <ul><li>
# Line 141  from NASA's Carbon Monitoring Flux Pilot Line 135  from NASA's Carbon Monitoring Flux Pilot
135  </li></ul>  </li></ul>
136    
137  <ul><li>  <ul><li>
138    C. Piecuch, 2015: Bottom-pressure signature of annual baroclinic
139    Rossby waves in the northeast tropical Pacific Ocean. J. Geophys.
140    Res., 120, 2449-2459.
141    </li></ul>
142    
143    <ul><li>
144  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
145  structure  of ocean pressure fluctuations with application to  structure  of ocean pressure fluctuations with application to
146  satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.  satellite-gravimetric observations. J. Atmos. Oce. Tech., 32, 603-613.
147  </li></ul>  </li></ul>
148    
149  <ul><li>  <ul><li>
150  C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity  C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
151  of contemporary sea level trends in a global ocean state estimate to effects  of contemporary sea level trends in a global ocean state estimate to effects
152  of geothermal fluxes, Ocean Model., in press.  of geothermal fluxes, Ocean Model., 96, 214-220.
153  </li></ul>  </li></ul>
154    
155  <ul><li>  <ul><li>
156  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
157  deformation in a coupled ocean-sea ice model and in satellite remote  and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
 sensing data. J. Geophys. Res., submitted.  
 </li></ul>  
   
 <ul><li>  
 T. Van der Stocken, 2015:  
 <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and  
 environmental drivers of mangrove propagule dispersal: A field and modeling  
 approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.  
158  </li></ul>  </li></ul>
159    
160  <ul><li>  <ul><li>
161  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
162  ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,  ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
163  doi:10.1007/s00382-015-2554-9  doi:10.1007/s00382-015-2554-9
164  </li></ul>  </li></ul>
165    
166  <ul><li>  <ul><li>
167  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
168  mixed layer depths in the north pacific detected by an ensemble of ocean syntheses.  mixed layer depths in the north pacific detected by an ensemble of ocean
169  Climate Dynamics, 1-17.  syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
170  </li></ul>  </li></ul>
171    
172  <ul><li>  <ul><li>
173  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
174  layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,  mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
175  doi:10.1007/s00382-015-2637-7.  doi:10.1007/s00382-015-2637-7
176    </li></ul>
177    
178    <ul><li>
179    T. Van der Stocken, 2015:
180    <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
181    environmental drivers of mangrove propagule dispersal: A field and modeling
182    approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Universite
183    Libre de Bruxelles.
184    </li></ul>
185    
186    <ul><li>
187    E. Villar, G. Farrant, M. Follows, et al, 2015, Environmental characteristics
188    of Agulhas rings affect interocean plankton transport, Science, Vol. 348,
189    6237.
190  </li></ul>  </li></ul>
191    
192  <ul><li>  <ul><li>
# Line 193  Loading Effects.  J. Phys. Oceanogr., 45 Line 199  Loading Effects.  J. Phys. Oceanogr., 45
199  X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:  X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
200  <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
201  Regional ocean forecasting systems and their applications: Design  Regional ocean forecasting systems and their applications: Design
202  consideration of such a system for the South China Sea.</a> Aquatic  consideration of such a system for the South China Sea.</a>
203  Ecosystem Health & Management, in press,  Aquat. Ecosyst. Health Manag., 18, 443-453.
 doi10.1080/14634988.2015.1112123.  
204  </li></ul>  </li></ul>
205    
206  <ul><li>  <ul><li>
207  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
208  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
209  river discharge and river temperature climatology data set for the  river discharge and river temperature climatology data set for the
210  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.  pan-Arctic region.</a> Ocean Model., 88, 1-15.
211  </li></ul>  </li></ul>
212    
213  <ul><li>  <ul><li>
214  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and  C. Yan, J. Zhu, and J. Xie, 2015: An ocean data assimilation system in the
215  I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent  Indian Ocean and west Pacific Ocean. Adv. Atmos. Sci., 32,
216  vertical mixing using seasonally averaged observations from the  1460-1472.
 TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  
217  </li></ul>  </li></ul>
218    
219  <ul><li>  <ul><li>
220  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
221  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
222  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
223    </li></ul>
224    
225    <ul><li>
226    Y. Zhang, D. Jacob, S. Dutkiewicz, H. Amos, M. Long, and E. Sunderland, 2015:
227    Biogeochemical drivers of the fate of riverine mercury discharged to the
228    global and Arctic oceans. Global Biogeochem. Cycles, 29, 854-864.
229  </li></ul>  </li></ul>

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