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revision 1.17 by dimitri, Fri Jun 5 15:33:31 2015 UTC revision 1.25 by dimitri, Tue Jan 19 18:51:00 2016 UTC
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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
# 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>
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>  </li></ul>
58    
59  <ul><li>  <ul><li>
60  G. Forget and R.M. Ponte, 2015: The partition of regional sea level  G. Forget and R.M. Ponte, 2015:
61  variability.  Prog. Oceanogr., accepted.  <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>  </ul></li>
82    
83  <ul><li>  <ul><li>
84  G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,  McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
85  2015: ECCO version 4: an integrated framework for non-linear inverse modeling  Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
86  and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.  Floats. JPO, 45, 1773-1793.
87  </ul></li>  </ul></li>
88    
89  <ul><li>  <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  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  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,  basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
# Line 86  Dagstuhl Reports, 4, 14-16. Line 124  Dagstuhl Reports, 4, 14-16.
124    
125  <ul><li>  <ul><li>
126  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
127  Vertical redistribution of oceanic heat. 28, 3821-3833,  Vertical redistribution of oceanic heat. 28, 3821-3833.
128  </ul></li>  </ul></li>
129    
130  <ul><li>  <ul><li>
# Line 105  satellite-gravimetric observations. J. A Line 143  satellite-gravimetric observations. J. A
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.
149  </li></ul>  </li></ul>
150    
151  <ul><li>  <ul><li>
152  T. Van der Stocken, 2015:  T. Van der Stocken, 2015:
153  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
154  environmental drivers of mangrove propagule dispersal: A field and modeling  environmental drivers of mangrove propagule dispersal: A field and modeling
155  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.  
156  </li></ul>  </li></ul>
157    
158  <ul><li>  <ul><li>
159  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
160  ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,  ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
161  doi:10.1007/s00382-015-2554-9  doi:10.1007/s00382-015-2554-9
162  </li></ul>  </li></ul>
163    
164  <ul><li>  <ul><li>
165  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
166  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
167  doi:10.1007/s00382-015-2637-7.  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>  </li></ul>
175    
176  <ul><li>  <ul><li>
# Line 137  Loading Effects.  J. Phys. Oceanogr., 45 Line 180  Loading Effects.  J. Phys. Oceanogr., 45
180  </li></ul>  </li></ul>
181    
182  <ul><li>  <ul><li>
183  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
184  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
185  river discharge and river temperature climatology data set for the  Regional ocean forecasting systems and their applications: Design
186  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.  consideration of such a system for the South China Sea.</a> Aquatic
187    Ecosystem Health & Management, 18, 443-453.
188  </li></ul>  </li></ul>
189    
190  <ul><li>  <ul><li>
191  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
192  I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
193  vertical mixing using seasonally averaged observations from the  river discharge and river temperature climatology data set for the
194  TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  pan-Arctic region.</a> Ocean Model., 88, 1-15.
195  </li></ul>  </li></ul>
196    
197  <ul><li>  <ul><li>
198  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
199  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
200  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
201  </li></ul>  </li></ul>
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