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revision 1.7 by dimitri, Wed Feb 11 18:54:08 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>  </li></ul>
20    
21  <ul><li>  <ul><li>
# Line 45  variability.  Prog. Oceanogr., submitted Line 45  variability.  Prog. Oceanogr., submitted
45  </ul></li>  </ul></li>
46    
47  <ul><li>  <ul><li>
48    Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015:
49    ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation.
50    Geoscientific Model Development, submitted.
51    </ul></li>
52    
53    <ul><li>
54  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,  D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
55  2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">  2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
56  Quantifying the processes controlling intraseasonal mixed-layer temperature  Quantifying the processes controlling intraseasonal mixed-layer temperature
57  variability in the tropical Indian Ocean. J. Geophys. Res., doi:  variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
 10.1002/2014JC010139.  
58  </li></ul>  </li></ul>
59    
60  <ul><li>  <ul><li>
# Line 61  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, C. Rousseaux,  L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
83  K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
84  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the  2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
85  magnitude of {CO2} flux uncertainty in atmospheric {CO}2 records using  magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
86  products from {NASA's Carbon Monitoring Flux Pilot Project}.</a>  from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
87  J. Geophys. Res., 120, doi:10.1002/2014JD022411.  734-765.
88  </li></ul>  </li></ul>
89    
90  <ul><li>  <ul><li>
# Line 103  self-attraction and loading effects, J. Line 109  self-attraction and loading effects, J.
109  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,  J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
110  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new  2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
111  river discharge and river temperature climatology data set for the  river discharge and river temperature climatology data set for the
112  pan-{Arctic} region.</a> Ocean Modelling, doi:10.1016/j.ocemod.2014.12.012.  pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
113  </li></ul>  </li></ul>
114    
115  <ul><li>  <ul><li>
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