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revision 1.21 by gforget, Tue Oct 27 20:21:15 2015 UTC revision 1.24 by dimitri, Wed Dec 2 16:38:00 2015 UTC
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1  <ul><li>  <ul><li>
2  Forget, G., D. Ferreira, and X. Liang, 2015: On the observability of  R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy
3  turbulent transport rates by argo: supporting evidence from an  mixing in a circumpolar channel. Ocean Modelling, submitted.
 inversion experiment. Ocean Science, 11, 839-853, doi:10.5194/os-11-839-2015.  
4  </li></ul>  </li></ul>
5    
6  <ul><li>  <ul><li>
7  Piecuch, C. G., P. Heimbach, R. M. Ponte, and G. Forget, 2015: Sensitivity  M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
8  of contemporary sea level trends in a global ocean state estimate to effects  (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97.
 of geothermal fluxes, Ocean Model., in press.  
 </li></ul>  
   
 <ul><li>  
 R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy  
 mixing in a circumpolar channel. Ocean Modelling, submitted.  
9  </li></ul>  </li></ul>
10    
11  <ul><li>  <ul><li>
# Line 21  H. Brix, D. Menemenlis, C. Hill, S. Dutk Line 13  H. Brix, D. Menemenlis, C. Hill, S. Dutk
13  K. Bowman, and H. Zhang, 2015:  K. Bowman, and H. Zhang, 2015:
14  <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using  <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
15  Green's Functions to initialize and adjust a global, eddying ocean  Green's Functions to initialize and adjust a global, eddying ocean
16  biogeochemistry general circulation model.</a> Ocean Modelling,  biogeochemistry general circulation model.</a> Ocean Modelling, 95, 1-14.
 in press.  
17  </li></ul>  </li></ul>
18    
19  <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 64  Weddell-Scotia Confluence.</a> J. Geophy Line 55  Weddell-Scotia Confluence.</a> J. Geophy
55  </li></ul>  </li></ul>
56    
57  <ul><li>  <ul><li>
58  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
59  variability.  Prog. Oceanogr., (137), 173-195, doi:10.1016/j.pocean.2015.06.002.  turbulent transport rates by argo: supporting evidence from an
60    inversion experiment. Ocean Science, 11, 839-853.
61    </li></ul>
62    
63    <ul><li>
64    G. Forget and R.M. Ponte, 2015:
65    <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
66    The partition of regional sea level variability.</a> Prog. Oceanogr.,
67    137, 173-195.
68    </ul></li>
69    
70    <ul><li>
71    G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
72    C. Wunsch, 2015:
73    <a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
74    ECCO version 4: an integrated framework for non-linear inverse
75    modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
76    3071-3104.
77  </ul></li>  </ul></li>
78    
79  <ul><li>  <ul><li>
80  G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,  G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and
81  2015: ECCO version 4: an integrated framework for non-linear inverse modeling  R.M. Ponte, 2015:
82  and global ocean state estimation. Geoscientific Model Development, 8,  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
83  3071-3104, doi:10.5194/gmd-8-3071-2015.  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
84    CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
85  </ul></li>  </ul></li>
86    
87  <ul><li>  <ul><li>
# Line 138  satellite-gravimetric observations. J. A Line 147  satellite-gravimetric observations. J. A
147  </li></ul>  </li></ul>
148    
149  <ul><li>  <ul><li>
150    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
152    of geothermal fluxes, Ocean Model., in press.
153    </li></ul>
154    
155    <ul><li>
156  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice
157  deformation in a coupled ocean-sea ice model and in satellite remote  deformation in a coupled ocean-sea ice model and in satellite remote
158  sensing data. J. Geophys. Res., submitted.  sensing data. J. Geophys. Res., submitted.
# Line 147  sensing data. J. Geophys. Res., submitte Line 162  sensing data. J. Geophys. Res., submitte
162  T. Van der Stocken, 2015:  T. Van der Stocken, 2015:
163  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
164  environmental drivers of mangrove propagule dispersal: A field and modeling  environmental drivers of mangrove propagule dispersal: A field and modeling
165  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.  
166  </li></ul>  </li></ul>
167    
168  <ul><li>  <ul><li>
# Line 160  doi:10.1007/s00382-015-2554-9 Line 174  doi:10.1007/s00382-015-2554-9
174  <ul><li>  <ul><li>
175  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
176  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 syntheses.
177  Climate Dynamics, 1-17, doi:10.1007/s00382-015-2762-3.  Climate Dynamics, 1-17.
178  </li></ul>  </li></ul>
179    
180  <ul><li>  <ul><li>
# Line 176  Loading Effects.  J. Phys. Oceanogr., 45 Line 190  Loading Effects.  J. Phys. Oceanogr., 45
190  </li></ul>  </li></ul>
191    
192  <ul><li>  <ul><li>
193    X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
194    <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
195    Regional ocean forecasting systems and their applications: Design
196    consideration of such a system for the South China Sea.</a> Aquatic
197    Ecosystem Health & Management, in press,
198    doi10.1080/14634988.2015.1112123.
199    </li></ul>
200    
201    <ul><li>
202  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
203  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
204  river discharge and river temperature climatology data set for the  river discharge and river temperature climatology data set for the
# Line 194  V. Zemskova, B. White, and A. Scotti, 20 Line 217  V. Zemskova, B. White, and A. Scotti, 20
217  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
218  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., submitted.
219  </li></ul>  </li></ul>
   
 <ul><li>  
 Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project  
 (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97,  
 doi:10.1080/1755876X.2015.1022329.  
 </li></ul>  
   
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