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revision 1.18 by dimitri, Mon Jul 20 13:45:19 2015 UTC revision 1.26 by heimbach, Mon May 2 18:54:30 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.
 in press.  
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
15  the origins of advective heat transport variability in the North Atlantic. J.  the origins of advective heat transport variability in the North Atlantic. J.
16  Clim., 18, 3943-3956.  Clim., 18, 3943-3956. doi:10.1175/JCLI-D-14-00579.1.
17  </li></ul>  </li></ul>
18    
19  <ul><li>  <ul><li>
# 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. doi:10.5194/gmd-8-3071-2015.
73    </ul></li>
74    
75    <ul><li>
76    The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
77    <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
78    Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
79    CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
80  </ul></li>  </ul></li>
81    
82  <ul><li>  <ul><li>
83  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
84  2015: ECCO version 4: an integrated framework for non-linear inverse modeling  Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
85  and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.  Floats. JPO, 45, 1773-1793.
86  </ul></li>  </ul></li>
87    
88  <ul><li>  <ul><li>
# Line 93  Dagstuhl Reports, 4, 14-16. Line 123  Dagstuhl Reports, 4, 14-16.
123    
124  <ul><li>  <ul><li>
125  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
126  Vertical redistribution of oceanic heat. 28, 3821-3833,  Vertical redistribution of oceanic heat. 28, 3821-3833.
127    doi:10.1175/JCLI-D-14-00550.1.
128  </ul></li>  </ul></li>
129    
130  <ul><li>  <ul><li>
# Line 108  from NASA's Carbon Monitoring Flux Pilot Line 139  from NASA's Carbon Monitoring Flux Pilot
139  <ul><li>  <ul><li>
140  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
141  structure  of ocean pressure fluctuations with application to  structure  of ocean pressure fluctuations with application to
142  satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.  satellite-gravimetric observations. J. Atmos. Oce. Tech., 32, 603-613.
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. doi:10.1016/j.ocemod.2015.10.008.
149    </li></ul>
150    
151    <ul><li>
152    K. J. Quinn, R. M. Ponte, and M. E. Tamisiea, 2015: Impact of self-attraction and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
153  </li></ul>  </li></ul>
154    
155  <ul><li>  <ul><li>
156  T. Van der Stocken, 2015:  T. Van der Stocken, 2015:
157  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
158  environmental drivers of mangrove propagule dispersal: A field and modeling  environmental drivers of mangrove propagule dispersal: A field and modeling
159  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.  
160  </li></ul>  </li></ul>
161    
162  <ul><li>  <ul><li>
163  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
164  ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,  ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
165  doi:10.1007/s00382-015-2554-9  doi:10.1007/s00382-015-2554-9
166  </li></ul>  </li></ul>
167    
168  <ul><li>  <ul><li>
169  T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
170  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
171  doi:10.1007/s00382-015-2637-7.  syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
172    </li></ul>
173    
174    <ul><li>
175    T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
176    mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
177    doi:10.1007/s00382-015-2637-7
178  </li></ul>  </li></ul>
179    
180  <ul><li>  <ul><li>
# Line 144  Loading Effects.  J. Phys. Oceanogr., 45 Line 184  Loading Effects.  J. Phys. Oceanogr., 45
184  </li></ul>  </li></ul>
185    
186  <ul><li>  <ul><li>
187  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
188  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  <a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
189  river discharge and river temperature climatology data set for the  Regional ocean forecasting systems and their applications: Design
190  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.  consideration of such a system for the South China Sea.</a> Aquatic
191    Ecosystem Health & Management, 18, 443-453.
192  </li></ul>  </li></ul>
193    
194  <ul><li>  <ul><li>
195  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
196  I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
197  vertical mixing using seasonally averaged observations from the  river discharge and river temperature climatology data set for the
198  TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  pan-Arctic region.</a> Ocean Model., 88, 1-15.
199  </li></ul>  </li></ul>
200    
201  <ul><li>  <ul><li>
202  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy  V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
203  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
204  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
205  </li></ul>  </li></ul>
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