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revision 1.6 by dimitri, Wed Feb 11 18:48:02 2015 UTC revision 1.23 by dimitri, Wed Nov 11 00:08:35 2015 UTC
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1    
2    <ul><li>
3    Forget, G., D. Ferreira, and X. Liang, 2015: On the observability of
4    turbulent transport rates by argo: supporting evidence from an
5    inversion experiment. Ocean Science, 11, 839-853, doi:10.5194/os-11-839-2015.
6    </li></ul>
7    
8    <ul><li>
9    Piecuch, C. G., P. Heimbach, R. M. Ponte, and G. Forget, 2015: Sensitivity
10    of contemporary sea level trends in a global ocean state estimate to effects
11    of geothermal fluxes, Ocean Model., in press.
12    </li></ul>
13    
14  <ul><li>  <ul><li>
15  R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy  R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy
16  mixing in a circumpolar channel. Ocean Modelling, submitted.  mixing in a circumpolar channel. Ocean Modelling, submitted.
# Line 8  H. Brix, D. Menemenlis, C. Hill, S. Dutk Line 21  H. Brix, D. Menemenlis, C. Hill, S. Dutk
21  K. Bowman, and H. Zhang, 2015:  K. Bowman, and H. Zhang, 2015:
22  <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using  <a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
23  Green's Functions to initialize and adjust a global, eddying ocean  Green's Functions to initialize and adjust a global, eddying ocean
24  biogeochemistry general circulation model.</a> Ocean Modelling,  biogeochemistry general circulation model.</a> Ocean Modelling, 95, 1-14.
25  submitted.  </li></ul>
26    
27    <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
28    the origins of advective heat transport variability in the North Atlantic. J.
29    Clim., 18, 3943-3956.
30  </li></ul>  </li></ul>
31    
32  <ul><li>  <ul><li>
33  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the  R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
34  origins of advective heat transport variability in the North Atlantic. J.  Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
35  Clim., in revision.  45, 387-406.
36  </li></ul>  </li></ul>
37    
38  <ul><li>  <ul><li>
# Line 33  J. Mar. Syst., 145, 69-90. Line 50  J. Mar. Syst., 145, 69-90.
50  </li></ul>  </li></ul>
51    
52  <ul><li>  <ul><li>
53    I. Fenty, D. Menemenlis, and H. Zhang, 2015:
54    <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
55    Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn., in press.
56    </li></ul>
57    
58    <ul><li>
59  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:
60  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
61  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
62  Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.  Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
63  </li></ul>  </li></ul>
64    
65  <ul><li>  <ul><li>
66  G. Forget and R.M. Ponte, 2015: The partition of regional sea level  G. Forget and R.M. Ponte, 2015:
67  variability.  Prog. Oceanogr., submitted.  <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
68    The partition of regional sea level variability.</a> Prog. Oceanogr.,
69    137, 173-195.
70    </ul></li>
71    
72    <ul><li>
73    G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
74    C. Wunsch, 2015:
75    <a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
76    ECCO version 4: an integrated framework for non-linear inverse
77    modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
78    3071-3104.
79  </ul></li>  </ul></li>
80    
81  <ul><li>  <ul><li>
82  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2015:  G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and
83  Quantifying the processes controlling intraseasonal mixed-layer  R.M. Ponte, 2015:
84  temperature variability in the tropical Indian  <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
85  Ocean. J. Geophys. Res., doi: 10.1002/2014JC010139.  Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
86    CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
87    </ul></li>
88    
89    <ul><li>
90    McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
91    Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
92    Floats. JPO, 45, 1773-1793.
93    </ul></li>
94    
95    <ul><li>
96    V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
97    <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
98    Modeling the impact of riverine DON removal by marine bacterioplankton on
99    primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
100    </li></ul>
101    
102    <ul><li>
103    I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
104    fluctuation of ocean bottom pressure and sea level across the deep ocean
105    basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
106    152-172.
107    </ul></li>
108    
109    <ul><li>
110    D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
111    2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
112    Quantifying the processes controlling intraseasonal mixed-layer temperature
113    variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
114  </li></ul>  </li></ul>
115    
116  <ul><li>  <ul><li>
# Line 60  Tech., 32, 131-143. Line 122  Tech., 32, 131-143.
122  </li></ul>  </li></ul>
123    
124  <ul><li>  <ul><li>
125  I. Hoteit, T. Hoar, G. Gopalakrishnan, N. Collins, J. Anderson,  P. Heimbach, 2015: Application of derivative code in climate modeling.
126  B. Cornuelle, A. Koehl, and P. Heimbach, 2013: A MITgcm/DART ensemble  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
127  analysis and prediction system: Development and application to the  Adjoint Methods in Computational Science, Engineering, and Finance.
128  Gulf of Mexico. Dynamics of Atmospheres and Oceans, in press.  Dagstuhl Reports, 4, 14-16.
129  </li></ul>  </li></ul>
130    
131  <ul><li>  <ul><li>
132  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
133  Vertical redistribution of oceanic heat. Submitted.  Vertical redistribution of oceanic heat. 28, 3821-3833.
134  </ul></li>  </ul></li>
135    
136  <ul><li>  <ul><li>
137  L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,  L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
138  K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
139  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
140  magnitude of {CO2} flux uncertainty in atmospheric {CO}2 records using  magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
141  products from {NASA's Carbon Monitoring Flux Pilot Project}.</a>  from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
142  J. Geophys. Res., 120, doi:10.1002/2014JD022411.  734-765.
143  </li></ul>  </li></ul>
144    
145  <ul><li>  <ul><li>
# Line 93  sensing data. J. Geophys. Res., submitte Line 155  sensing data. J. Geophys. Res., submitte
155  </li></ul>  </li></ul>
156    
157  <ul><li>  <ul><li>
158  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  T. Van der Stocken, 2015:
159  and J. Davis, 2015: Dynamic adjustment of the ocean circulation to  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
160  self-attraction and loading effects, J. Phys. Oceanogr., in press.  environmental drivers of mangrove propagule dispersal: A field and modeling
161    approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Université
162    Libre de Bruxelles.
163    </li></ul>
164    
165    <ul><li>
166    A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
167    ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,
168    doi:10.1007/s00382-015-2554-9
169    </li></ul>
170    
171    <ul><li>
172    Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
173    mixed layer depths in the north pacific detected by an ensemble of ocean syntheses.
174    Climate Dynamics, 1-17, doi:10.1007/s00382-015-2762-3.
175    </li></ul>
176    
177    <ul><li>
178    T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed
179    layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,
180    doi:10.1007/s00382-015-2637-7.
181    </li></ul>
182    
183    <ul><li>
184    N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
185    2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
186    Loading Effects.  J. Phys. Oceanogr., 45, 678-689.
187  </li></ul>  </li></ul>
188    
189  <ul><li>  <ul><li>
190  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
191  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
192  river discharge and river temperature climatology data set for the  river discharge and river temperature climatology data set for the
193  pan-{Arctic} region.</a> Ocean Modelling, doi:10.1016/j.ocemod.2014.12.012.  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
194  </li></ul>  </li></ul>
195    
196  <ul><li>  <ul><li>
# Line 117  V. Zemskova, B. White, and A. Scotti, 20 Line 205  V. Zemskova, B. White, and A. Scotti, 20
205  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
206  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., submitted.
207  </li></ul>  </li></ul>
208    
209    <ul><li>
210    Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
211    (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97,
212    doi:10.1080/1755876X.2015.1022329.
213    </li></ul>
214    
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