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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). J. Oper. Oceanogr., 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
# Line 24  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 38  J. Mar. Syst., 145, 69-90. Line 30  J. Mar. Syst., 145, 69-90.
30  </li></ul>  </li></ul>
31    
32  <ul><li>  <ul><li>
33    I. Fenty, D. Menemenlis, and H. Zhang, 2015:
34    <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
35    Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
36    doi:10.1007/s00382-015-2796-6
37    </li></ul>
38    
39    <ul><li>
40  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:
41  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
42  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
43  Weddell-Scotia Confluence.</a> J. Geophys. Res., in press.  Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
44  </li></ul>  </li></ul>
45    
46  <ul><li>  <ul><li>
47  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
48  variability.  Prog. Oceanogr., accepted.  turbulent transport rates by argo: supporting evidence from an
49    inversion experiment. Ocean Science, 11, 839-853.
50    </li></ul>
51    
52    <ul><li>
53    G. Forget and R.M. Ponte, 2015:
54    <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
55    The partition of regional sea level variability.</a> Prog. Oceanogr.,
56    137, 173-195.
57  </ul></li>  </ul></li>
58    
59  <ul><li>  <ul><li>
60  G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,  G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
61  2015: ECCO version 4: an integrated framework for non-linear inverse modeling  C. Wunsch, 2015:
62  and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.  <a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
63    ECCO version 4: an integrated framework for non-linear inverse
64    modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
65    3071-3104.
66  </ul></li>  </ul></li>
67    
68  <ul><li>  <ul><li>
69  I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform  The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
70  fluctuation of ocean bottom pressure and sea level across the deep ocean  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
71  basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
72  152-172.  CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
73  </ul></li>  </ul></li>
74    
75  <ul><li>  <ul><li>
76    I. Fukumori, 2015: Combining models and data in large-scale oceanography:
77    Examples from the Consortium for Estimating the Circulation and Climate of the
78    Ocean (ECCO). Advanced Data Assimilation for Geosciences: Lecture Notes of the
79    Les Houches School of Physics: Special Issue, June 2012.
80    </li></ul>
81    
82    <ul><li>
83    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
85    basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134, 152-172.
86    </li></ul>
87    
88    <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,
90  2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">  2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
91  Quantifying the processes controlling intraseasonal mixed-layer temperature  Quantifying the processes controlling intraseasonal mixed-layer temperature
# Line 85  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 101  from NASA's Carbon Monitoring Flux Pilot Line 137  from NASA's Carbon Monitoring Flux Pilot
137  <ul><li>  <ul><li>
138  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
139  structure  of ocean pressure fluctuations with application to  structure  of ocean pressure fluctuations with application to
140  satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.  satellite-gravimetric observations. J. Atmos. Oce. Tech., 32, 603-613.
141  </li></ul>  </li></ul>
142    
143  <ul><li>  <ul><li>
144  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice  C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
145  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
146  sensing data. J. Geophys. Res., submitted.  of geothermal fluxes, Ocean Model., 96, 214-220.
147  </li></ul>  </li></ul>
148    
149  <ul><li>  <ul><li>
150  T. Van der Stocken, 2015:  K. J. Quinn, R. M. Ponte, and M. E. Tamisiea, 2015: Impact of self-attraction
151  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and  and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
 environmental drivers of mangrove propagule dispersal: A field and modeling  
 approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Université  
 Libre de Bruxelles.  
152  </li></ul>  </li></ul>
153    
154  <ul><li>  <ul><li>
155  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
156  ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,  ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
157  doi:10.1007/s00382-015-2554-9  doi:10.1007/s00382-015-2554-9
158  </li></ul>  </li></ul>
159    
160  <ul><li>  <ul><li>
161  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
162  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
163  doi:10.1007/s00382-015-2637-7.  syntheses. Clim. Dyn., 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
168    mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
169    doi:10.1007/s00382-015-2637-7
170    </li></ul>
171    
172    <ul><li>
173    T. Van der Stocken, 2015:
174    <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
175    environmental drivers of mangrove propagule dispersal: A field and modeling
176    approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
177  </li></ul>  </li></ul>
178    
179  <ul><li>  <ul><li>
# Line 137  Loading Effects.  J. Phys. Oceanogr., 45 Line 183  Loading Effects.  J. Phys. Oceanogr., 45
183  </li></ul>  </li></ul>
184    
185  <ul><li>  <ul><li>
186    X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
187    <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
188    Regional ocean forecasting systems and their applications: Design
189    consideration of such a system for the South China Sea.</a>
190    Aquat. Ecosyst. Health Manag., 18, 443-453.
191    </li></ul>
192    
193    <ul><li>
194  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
195  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
196  river discharge and river temperature climatology data set for the  river discharge and river temperature climatology data set for the
197  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.  pan-Arctic region.</a> Ocean Model., 88, 1-15.
198  </li></ul>  </li></ul>
199    
200  <ul><li>  <ul><li>
201  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
202  I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent  Indian Ocean and west Pacific Ocean. Adv. Atmos. Sci., 32,
203  vertical mixing using seasonally averaged observations from the  1460-1472.
 TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  
204  </li></ul>  </li></ul>
205    
206  <ul><li>  <ul><li>
207  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
208  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
209  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
210    </li></ul>
211    
212    <ul><li>
213    Y. Zhang, D. Jacob, S. Dutkiewicz, H. Amos, M. Long, and E. Sunderland, 2015:
214    Biogeochemical drivers of the fate of riverine mercury discharged to the
215    global and Arctic oceans. Global Biogeochem. Cycles, 29, 854-864.
216  </li></ul>  </li></ul>
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