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# Line 9  K. Bowman, and H. Zhang, 2015: Line 9  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 Modelling,
12  submitted.  in press.
13    </li></ul>
14    
15    <ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
16    the origins of advective heat transport variability in the North Atlantic. J.
17    Clim., 18, 3943-3956.
18  </li></ul>  </li></ul>
19    
20  <ul><li>  <ul><li>
21  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the  R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
22  origins of advective heat transport variability in the North Atlantic. J.  Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
23  Clim., in revision.  45, 387-406.
24  </li></ul>  </li></ul>
25    
26  <ul><li>  <ul><li>
# Line 33  J. Mar. Syst., 145, 69-90. Line 38  J. Mar. Syst., 145, 69-90.
38  </li></ul>  </li></ul>
39    
40  <ul><li>  <ul><li>
41    I. Fenty, D. Menemenlis, and H. Zhang, 2015:
42    <a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
43    Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn., in press.
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., submitted.  Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
51  </li></ul>  </li></ul>
52    
53  <ul><li>  <ul><li>
54  G. Forget and R.M. Ponte, 2015: The partition of regional sea level  G. Forget and R.M. Ponte, 2015: The partition of regional sea level
55  variability.  Prog. Oceanogr., submitted.  variability.  Prog. Oceanogr., accepted.
56    </ul></li>
57    
58    <ul><li>
59    G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,
60    2015: ECCO version 4: an integrated framework for non-linear inverse modeling
61    and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.
62  </ul></li>  </ul></li>
63    
64  <ul><li>  <ul><li>
65  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2015:  V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
66  Quantifying the processes controlling intraseasonal mixed-layer  <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
67  temperature variability in the tropical Indian  Modeling the impact of riverine DON removal by marine bacterioplankton on
68  Ocean. J. Geophys. Res., in press.  primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
69    </li></ul>
70    
71    <ul><li>
72    I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
73    fluctuation of ocean bottom pressure and sea level across the deep ocean
74    basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
75    152-172.
76    </ul></li>
77    
78    <ul><li>
79    D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
80    2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
81    Quantifying the processes controlling intraseasonal mixed-layer temperature
82    variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
83  </li></ul>  </li></ul>
84    
85  <ul><li>  <ul><li>
# Line 60  Tech., 32, 131-143. Line 91  Tech., 32, 131-143.
91  </li></ul>  </li></ul>
92    
93  <ul><li>  <ul><li>
94  I. Hoteit, T. Hoar, G. Gopalakrishnan, N. Collins, J. Anderson,  P. Heimbach, 2015: Application of derivative code in climate modeling.
95  B. Cornuelle, A. Koehl, and P. Heimbach, 2013: A MITgcm/DART ensemble  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
96  analysis and prediction system: Development and application to the  Adjoint Methods in Computational Science, Engineering, and Finance.
97  Gulf of Mexico. Dynamics of Atmospheres and Oceans, in press.  Dagstuhl Reports, 4, 14-16.
98  </li></ul>  </li></ul>
99    
100  <ul><li>  <ul><li>
101  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
102  Vertical redistribution of oceanic heat. Submitted.  Vertical redistribution of oceanic heat. 28, 3821-3833,
103  </ul></li>  </ul></li>
104    
105  <ul><li>  <ul><li>
106  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,
107  C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
108  2015: Quantifying the observability of CO2 flux uncertainty in  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
109  atmospheric CO2 records using products from NASA's Carbon Monitoring  magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
110  Flux Pilot Project. J. Geophys. Res., in press.  from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
111    734-765.
112  </li></ul>  </li></ul>
113    
114  <ul><li>  <ul><li>
# Line 92  sensing data. J. Geophys. Res., submitte Line 124  sensing data. J. Geophys. Res., submitte
124  </li></ul>  </li></ul>
125    
126  <ul><li>  <ul><li>
127  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  T. Van der Stocken, 2015:
128  and J. Davis, 2015: Dynamic adjustment of the ocean circulation to  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
129  self-attraction and loading effects, J. Phys. Oceanogr., in press.  environmental drivers of mangrove propagule dispersal: A field and modeling
130    approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Université
131    Libre de Bruxelles.
132    </li></ul>
133    
134    <ul><li>
135    A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
136    ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,
137    doi:10.1007/s00382-015-2554-9
138    </li></ul>
139    
140    <ul><li>
141    T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed
142    layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,
143    doi:10.1007/s00382-015-2637-7.
144    </li></ul>
145    
146    <ul><li>
147    N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
148    2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
149    Loading Effects.  J. Phys. Oceanogr., 45, 678-689.
150  </li></ul>  </li></ul>
151    
152  <ul><li>  <ul><li>
153  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis, 2015: A new river  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
154  discharge and river temperature data set for the pan-Arctic region. Ocean  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
155  Modelling, in press.  river discharge and river temperature climatology data set for the
156    pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
157  </li></ul>  </li></ul>
158    
159  <ul><li>  <ul><li>
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