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revision 1.6 by dimitri, Wed Feb 11 18:48:02 2015 UTC revision 1.18 by dimitri, Mon Jul 20 13:45:19 2015 UTC
# 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 36  J. Mar. Syst., 145, 69-90. Line 41  J. Mar. Syst., 145, 69-90.
41  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:
42  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">  <a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
43  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
44  Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.  Weddell-Scotia Confluence.</a> J. Geophys. Res., in press.
45  </li></ul>  </li></ul>
46    
47  <ul><li>  <ul><li>
48  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
49  variability.  Prog. Oceanogr., submitted.  variability.  Prog. Oceanogr., accepted.
50    </ul></li>
51    
52    <ul><li>
53    G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch,
54    2015: ECCO version 4: an integrated framework for non-linear inverse modeling
55    and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743.
56    </ul></li>
57    
58    <ul><li>
59    V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
60    <a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
61    Modeling the impact of riverine DON removal by marine bacterioplankton on
62    primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
63    </li></ul>
64    
65    <ul><li>
66    I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
67    fluctuation of ocean bottom pressure and sea level across the deep ocean
68    basins of the Arctic Ocean and the Nordic Seas.  Prog. Oceanogr., 134,
69    152-172.
70  </ul></li>  </ul></li>
71    
72  <ul><li>  <ul><li>
73  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2015:  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
74  Quantifying the processes controlling intraseasonal mixed-layer  2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
75  temperature variability in the tropical Indian  Quantifying the processes controlling intraseasonal mixed-layer temperature
76  Ocean. J. Geophys. Res., doi: 10.1002/2014JC010139.  variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
77  </li></ul>  </li></ul>
78    
79  <ul><li>  <ul><li>
# Line 60  Tech., 32, 131-143. Line 85  Tech., 32, 131-143.
85  </li></ul>  </li></ul>
86    
87  <ul><li>  <ul><li>
88  I. Hoteit, T. Hoar, G. Gopalakrishnan, N. Collins, J. Anderson,  P. Heimbach, 2015: Application of derivative code in climate modeling.
89  B. Cornuelle, A. Koehl, and P. Heimbach, 2013: A MITgcm/DART ensemble  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
90  analysis and prediction system: Development and application to the  Adjoint Methods in Computational Science, Engineering, and Finance.
91  Gulf of Mexico. Dynamics of Atmospheres and Oceans, in press.  Dagstuhl Reports, 4, 14-16.
92  </li></ul>  </li></ul>
93    
94  <ul><li>  <ul><li>
95  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
96  Vertical redistribution of oceanic heat. Submitted.  Vertical redistribution of oceanic heat. 28, 3821-3833,
97  </ul></li>  </ul></li>
98    
99  <ul><li>  <ul><li>
100  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,
101  K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
102  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
103  magnitude of {CO2} flux uncertainty in atmospheric {CO}2 records using  magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
104  products from {NASA's Carbon Monitoring Flux Pilot Project}.</a>  from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
105  J. Geophys. Res., 120, doi:10.1002/2014JD022411.  734-765.
106  </li></ul>  </li></ul>
107    
108  <ul><li>  <ul><li>
# Line 93  sensing data. J. Geophys. Res., submitte Line 118  sensing data. J. Geophys. Res., submitte
118  </li></ul>  </li></ul>
119    
120  <ul><li>  <ul><li>
121  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  T. Van der Stocken, 2015:
122  and J. Davis, 2015: Dynamic adjustment of the ocean circulation to  <a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
123  self-attraction and loading effects, J. Phys. Oceanogr., in press.  environmental drivers of mangrove propagule dispersal: A field and modeling
124    approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Université
125    Libre de Bruxelles.
126    </li></ul>
127    
128    <ul><li>
129    A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
130    ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press,
131    doi:10.1007/s00382-015-2554-9
132    </li></ul>
133    
134    <ul><li>
135    T. Toyoda, and 32 others, 2015: Intercomparison and validation of the mixed
136    layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press,
137    doi:10.1007/s00382-015-2637-7.
138    </li></ul>
139    
140    <ul><li>
141    N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
142    2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
143    Loading Effects.  J. Phys. Oceanogr., 45, 678-689.
144  </li></ul>  </li></ul>
145    
146  <ul><li>  <ul><li>
147  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
148  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
149  river discharge and river temperature climatology data set for the  river discharge and river temperature climatology data set for the
150  pan-{Arctic} region.</a> Ocean Modelling, doi:10.1016/j.ocemod.2014.12.012.  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
151  </li></ul>  </li></ul>
152    
153  <ul><li>  <ul><li>

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