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revision 1.2 by dimitri, Mon Jan 12 19:48:15 2015 UTC revision 1.13 by heimbach, Mon Mar 30 15:55:50 2015 UTC
# Line 15  submitted. Line 15  submitted.
15  <ul><li>  <ul><li>
16  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the
17  origins of advective heat transport variability in the North Atlantic. J.  origins of advective heat transport variability in the North Atlantic. J.
18  Clim., in revision.  Clim., in press, doi:10.1175/JCLI-D-14-00579.1.
19    </li></ul>
20    
21    <ul><li>
22    K. Childers, 2015:
23    <a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
24    Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
25    Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
26    </li></ul>
27    
28    <ul><li>
29    P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
30    2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
31    importance of vertical resolution in sea ice algae production models.</a>
32    J. Mar. Syst., 145, 69-90.
33  </li></ul>  </li></ul>
34    
35  <ul><li>  <ul><li>
# Line 31  variability.  Prog. Oceanogr., submitted Line 45  variability.  Prog. Oceanogr., submitted
45  </ul></li>  </ul></li>
46    
47  <ul><li>  <ul><li>
48  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2015:  Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015:
49  Quantifying the processes controlling intraseasonal mixed-layer  ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation.
50  temperature variability in the tropical Indian  Geoscientific Model Development, submitted.
51  Ocean. J. Geophys. Res., in press.  </ul></li>
52    
53    <ul><li>
54    D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
55    2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
56    Quantifying the processes controlling intraseasonal mixed-layer temperature
57    variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
58  </li></ul>  </li></ul>
59    
60  <ul><li>  <ul><li>
# Line 46  Tech., 32, 131-143. Line 66  Tech., 32, 131-143.
66  </li></ul>  </li></ul>
67    
68  <ul><li>  <ul><li>
69  I. Hoteit, T. Hoar, G. Gopalakrishnan, N. Collins, J. Anderson,  Heimbach, P., 2015: Application of derivative code in climate modeling.
70  B. Cornuelle, A. Koehl, and P. Heimbach, 2013: A MITgcm/DART ensemble  in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
71  analysis and prediction system: Development and application to the  Adjoint Methods in Computational Science, Engineering, and Finance.
72  Gulf of Mexico. Dynamics of Atmospheres and Oceans, in press.  Dagstuhl Reports, 4(9), 14-16, doi:10.4230/DagRep.4.9.1
73  </li></ul>  </li></ul>
74    
75  <ul><li>  <ul><li>
76  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:  X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
77  Vertical redistribution of oceanic heat. Submitted.  Vertical redistribution of oceanic heat. in press,
78    in press, doi:10.1175/JCLI-D-14-00550.1.
79  </ul></li>  </ul></li>
80    
81  <ul><li>  <ul><li>
82  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,
83  C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
84  2015: Quantifying the observability of CO2 flux uncertainty in  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
85  atmospheric CO2 records using products from NASA's Carbon Monitoring  magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
86  Flux Pilot Project. J. Geophys. Res., in press.  from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
87    734-765.
88  </li></ul>  </li></ul>
89    
90  <ul><li>  <ul><li>
91  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical  C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
92  structure  of ocean pressure fluctuations with application  structure  of ocean pressure fluctuations with application to
93  to satellite-gravimetric observations. J. Atmos. Oce. Tech., in revision.  satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
94  </li></ul>  </li></ul>
95    
96  <ul><li>  <ul><li>
# Line 80  sensing data. J. Geophys. Res., submitte Line 102  sensing data. J. Geophys. Res., submitte
102  <ul><li>  <ul><li>
103  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,
104  and J. Davis, 2015: Dynamic adjustment of the ocean circulation to  and J. Davis, 2015: Dynamic adjustment of the ocean circulation to
105  self-attraction and loading effects, J. Phys. Oceanogr., in revision.  self-attraction and loading effects, J. Phys. Oceanogr., in press.
106  </li></ul>  </li></ul>
107    
108  <ul><li>  <ul><li>
109  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis, 2015: A new river  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
110  discharge and river temperature data set for the pan-Arctic region. Ocean  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
111  Modelling, in press.  river discharge and river temperature climatology data set for the
112    pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
113  </li></ul>  </li></ul>
114    
115  <ul><li>  <ul><li>

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