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revision 1.23 by dimitri, Wed Nov 11 00:08:35 2015 UTC revision 1.25 by dimitri, Tue Jan 19 18:51:00 2016 UTC
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 <ul><li>  
 Forget, G., D. Ferreira, and X. Liang, 2015: On the observability of  
 turbulent transport rates by argo: supporting evidence from an  
 inversion experiment. Ocean Science, 11, 839-853, doi:10.5194/os-11-839-2015.  
 </li></ul>  
   
 <ul><li>  
 Piecuch, C. G., P. Heimbach, R. M. Ponte, and G. Forget, 2015: Sensitivity  
 of contemporary sea level trends in a global ocean state estimate to effects  
 of geothermal fluxes, Ocean Model., in press.  
 </li></ul>  
   
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 21  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 52  J. Mar. Syst., 145, 69-90. Line 39  J. Mar. Syst., 145, 69-90.
39  <ul><li>  <ul><li>
40  I. Fenty, D. Menemenlis, and H. Zhang, 2015:  I. Fenty, D. Menemenlis, and H. Zhang, 2015:
41  <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
42  Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn., in press.  Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
43    doi:10.1007/s00382-015-2796-6
44  </li></ul>  </li></ul>
45    
46  <ul><li>  <ul><li>
# Line 63  Weddell-Scotia Confluence.</a> J. Geophy Line 51  Weddell-Scotia Confluence.</a> J. Geophy
51  </li></ul>  </li></ul>
52    
53  <ul><li>  <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>
58    
59    <ul><li>
60  G. Forget and R.M. Ponte, 2015:  G. Forget and R.M. Ponte, 2015:
61  <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">  <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
62  The partition of regional sea level variability.</a> Prog. Oceanogr.,  The partition of regional sea level variability.</a> Prog. Oceanogr.,
# Line 149  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  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
166  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
167  Climate Dynamics, 1-17, doi:10.1007/s00382-015-2762-3.  syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
168  </li></ul>  </li></ul>
169    
170  <ul><li>  <ul><li>
171  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
172  layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,  mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
173  doi:10.1007/s00382-015-2637-7.  doi:10.1007/s00382-015-2637-7
174  </li></ul>  </li></ul>
175    
176  <ul><li>  <ul><li>
# Line 187  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>
   
 <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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