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revision 1.4 by dimitri, Tue Feb 3 16:51:38 2015 UTC revision 1.22 by dimitri, Thu Nov 5 01:09:22 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 9  K. Bowman, and H. Zhang, 2015: Line 22  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,
25  submitted.  in press.
26    </li></ul>
27    
28    <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
29    the origins of advective heat transport variability in the North Atlantic. J.
30    Clim., 18, 3943-3956.
31    </li></ul>
32    
33    <ul><li>
34    R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
35    Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
36    45, 387-406.
37  </li></ul>  </li></ul>
38    
39  <ul><li>  <ul><li>
40  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the  K. Childers, 2015:
41  origins of advective heat transport variability in the North Atlantic. J.  <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
42  Clim., in revision.  Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
43    Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
44  </li></ul>  </li></ul>
45    
46  <ul><li>  <ul><li>
# Line 26  J. Mar. Syst., 145, 69-90. Line 51  J. Mar. Syst., 145, 69-90.
51  </li></ul>  </li></ul>
52    
53  <ul><li>  <ul><li>
54    I. Fenty, D. Menemenlis, and H. Zhang, 2015:
55    <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
56    Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn., in press.
57    </li></ul>
58    
59    <ul><li>
60  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:
61  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
62  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
63  Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.  Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
64    </li></ul>
65    
66    <ul><li>
67    G. Forget and R.M. Ponte, 2015:
68    <a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
69    The partition of regional sea level variability.</a> Prog. Oceanogr.,
70    137, 173-195.
71    </ul></li>
72    
73    <ul><li>
74    G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
75    C. Wunsch, 2015:
76    <a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
77    ECCO version 4: an integrated framework for non-linear inverse
78    modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
79    3071-3104.
80    </ul></li>
81    
82    <ul><li>
83    G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and
84    R.M. Ponte, 2015:
85    <a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
86    Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
87    CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
88    </ul></li>
89    
90    <ul><li>
91    McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
92    Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
93    Floats. JPO, 45, 1773-1793.
94    </ul></li>
95    
96    <ul><li>
97    V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
98    <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
99    Modeling the impact of riverine DON removal by marine bacterioplankton on
100    primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
101  </li></ul>  </li></ul>
102    
103  <ul><li>  <ul><li>
104  G. Forget and R.M. Ponte, 2015: The partition of regional sea level  I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
105  variability.  Prog. Oceanogr., submitted.  fluctuation of ocean bottom pressure and sea level across the deep ocean
106    basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
107    152-172.
108  </ul></li>  </ul></li>
109    
110  <ul><li>  <ul><li>
111  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2015:  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
112  Quantifying the processes controlling intraseasonal mixed-layer  2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
113  temperature variability in the tropical Indian  Quantifying the processes controlling intraseasonal mixed-layer temperature
114  Ocean. J. Geophys. Res., in press.  variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
115  </li></ul>  </li></ul>
116    
117  <ul><li>  <ul><li>
# Line 53  Tech., 32, 131-143. Line 123  Tech., 32, 131-143.
123  </li></ul>  </li></ul>
124    
125  <ul><li>  <ul><li>
126  I. Hoteit, T. Hoar, G. Gopalakrishnan, N. Collins, J. Anderson,  P. Heimbach, 2015: Application of derivative code in climate modeling.
127  B. Cornuelle, A. Koehl, and P. Heimbach, 2013: A MITgcm/DART ensemble  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
128  analysis and prediction system: Development and application to the  Adjoint Methods in Computational Science, Engineering, and Finance.
129  Gulf of Mexico. Dynamics of Atmospheres and Oceans, in press.  Dagstuhl Reports, 4, 14-16.
130  </li></ul>  </li></ul>
131    
132  <ul><li>  <ul><li>
133  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
134  Vertical redistribution of oceanic heat. Submitted.  Vertical redistribution of oceanic heat. 28, 3821-3833.
135  </ul></li>  </ul></li>
136    
137  <ul><li>  <ul><li>
138  L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,  L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
139  C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
140  2015: Quantifying the observability of CO2 flux uncertainty in  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
141  atmospheric CO2 records using products from NASA's Carbon Monitoring  magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
142  Flux Pilot Project. J. Geophys. Res., in press.  from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
143    734-765.
144  </li></ul>  </li></ul>
145    
146  <ul><li>  <ul><li>
# Line 85  sensing data. J. Geophys. Res., submitte Line 156  sensing data. J. Geophys. Res., submitte
156  </li></ul>  </li></ul>
157    
158  <ul><li>  <ul><li>
159  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  T. Van der Stocken, 2015:
160  and J. Davis, 2015: Dynamic adjustment of the ocean circulation to  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
161  self-attraction and loading effects, J. Phys. Oceanogr., in press.  environmental drivers of mangrove propagule dispersal: A field and modeling
162    approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Université
163    Libre de Bruxelles.
164    </li></ul>
165    
166    <ul><li>
167    A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
168    ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,
169    doi:10.1007/s00382-015-2554-9
170  </li></ul>  </li></ul>
171    
172  <ul><li>  <ul><li>
173  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis, 2015: A new river  Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
174  discharge and river temperature data set for the pan-Arctic region. Ocean  mixed layer depths in the north pacific detected by an ensemble of ocean syntheses.
175  Modelling, in press.  Climate Dynamics, 1-17, doi:10.1007/s00382-015-2762-3.
176    </li></ul>
177    
178    <ul><li>
179    T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed
180    layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,
181    doi:10.1007/s00382-015-2637-7.
182    </li></ul>
183    
184    <ul><li>
185    N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
186    2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
187    Loading Effects.  J. Phys. Oceanogr., 45, 678-689.
188    </li></ul>
189    
190    <ul><li>
191    J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
192    2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
193    river discharge and river temperature climatology data set for the
194    pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
195  </li></ul>  </li></ul>
196    
197  <ul><li>  <ul><li>
# Line 108  V. Zemskova, B. White, and A. Scotti, 20 Line 206  V. Zemskova, B. White, and A. Scotti, 20
206  and the general circulation: Partitioning wind, buoyancy forcing, and  and the general circulation: Partitioning wind, buoyancy forcing, and
207  irreversible mixing. J. Phys. Oceanogr., submitted.  irreversible mixing. J. Phys. Oceanogr., submitted.
208  </li></ul>  </li></ul>
209    
210    <ul><li>
211    Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
212    (ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97,
213    doi:10.1080/1755876X.2015.1022329.
214    </li></ul>
215    
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