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1  <ul><li>  <ul><li>
2    P. Bender and C. Betts, 2016: Ocean calibration approach for data from the
3    GRACE Follow-On mission. J. Geophys. Res, 121, 1218-1235.
4    </li></ul>
5    
6    <ul><li>
7    A. Chaudhuri, R. Ponte, and G. Forget, 2016:
8    <a href="http://www.sciencedirect.com/science/article/pii/S1463500316000226">
9    Impact of uncertainties in atmospheric boundary conditions on ocean model
10    solutions.</a> Ocean Model., 100, 96-108.
11    </li></ul>
12    
13    <ul><li>
14    M. Chevallier, et al., 2016:
15    <a href="http://link.springer.com/article/10.1007/s00382-016-2985-y">
16    Intercomparison of the Arctic sea ice cover in global ocean-sea ice reanalyses
17    from the ORA-IP project.</a> Clim.Dyn., doi:10.1007/s00382-016-2985-y
18    </li></ul>
19    
20    <ul><li>
21    H. Danabasoglu, et al., 2016:
22    <a href="http://www.sciencedirect.com/science/article/pii/S1463500315002231">
23    North Atlantic simulations in Coordinated Ocean-ice Reference Experiments
24    phase II (CORE-II). Part II: Inter-annual to decadal variability.
25    </a> Ocean Model., 97, 65-90.
26    </li></ul>
27    
28    <ul><li>
29    N. Ngeve, T. Van der Stocken, D. Menemenlis, N. Koedam, and L. Triest, 2016:
30    <a href="http://ecco2.org/manuscripts/2016/Ngeve2016.pdf">
31    Contrasting effects of historical sea level rise and contemporary ocean
32    currents on regional gene flow of Rhizophora racemosa in Eastern Atlantic
33    mangroves.</a> PLoS ONE 11(3): e0150950.
34    </li></ul>
35    
36    <ul><li>
37    V. Ocana, E. Zorita, and P. Heimbach, 2016: Stochastic secular trends in sea
38    level rise. J. Geophys. Res, 121, 2183-2202.
39    </li></ul>
40    
41    <ul><li>
42    C. Piecuch, S. Dangendorf, R. Ponte, and M. Marcos, 2016: Annual
43    sea level changes on the North American northeast coast: influence of local
44    winds and barotropic motions. J. Clim., 29, 4801-4816.
45    </li></ul>
46    
47    <ul><li>
48    H. Pillar, P. Heimbach, H. Johnson, and D. Marshall, 2016: Dynamical
49    attribution of recent variability in Atlantic overturning. J. Clim., 29,
50    3339-3352.
51    </li></ul>
52    
53    <ul><li>
54    R. Ponte and N. Vinogradova, 2016: An assessment of basic
55    processes controlling mean surface salinity over the global
56    ocean. Geophys. Res. Lett., 10.1002/2016GL069857
57    </li></ul>
58    
59    <ul><li>
60    E. Rignot, Y. Xu, D. Menemenlis, J. Mouginot, B. Scheuchl, X. Li,
61    M. Morlighem, H. Seroussi, M. van den Broeke, I. Fenty, C. Cai, L. An, and
62    B. de Fleurian, 2016:
63    <a href="http://onlinelibrary.wiley.com/doi/10.1002/2016GL068784/full">
64    Modeling of ocean-induced icemelt rates of five west Greenland glaciers over
65    the past two decades.</a> Geophys. Res. Lett., 43, 6374-6382.
66    </li></ul>
67    
68    <ul><li>
69  C. Rocha, T. Chereskin, S. Gille, and D. Menemenlis, 2016:  C. Rocha, T. Chereskin, S. Gille, and D. Menemenlis, 2016:
70  <a href="http://ecco2.org/manuscripts/2016/Rocha2016.pdf"> Mesoscale to  <a href="http://ecco2.org/manuscripts/2016/Rocha2016.pdf"> Mesoscale to
71  submesoscale wavenumber spectra in Drake Passage.</a> J. Phys. Oceanogr.,  submesoscale wavenumber spectra in Drake Passage.</a> J. Phys. Oceanogr., 46,
72  doi:10.1175/JPO-D-15-0087.1  601-620.
73  </li></ul>  </li></ul>
74    
75  <ul><li>  <ul><li>
76  M. Schodlok, D. Menemenlis, and E. J. Rignots, 2016:  M. Schodlok, D. Menemenlis, and E. J. Rignot, 2016:
77  <a href="http://ecco2.org/manuscripts/2016/Schodlok2016.pdf"> Ice shelf basal  <a href="http://ecco2.org/manuscripts/2016/Schodlok2016.pdf"> Ice shelf basal
78  melt rates around Antarctica from simulations and observations.</a>  melt rates around Antarctica from simulations and observations.</a>
79  J. Geophys. Res., doi:10.1002/2015JC011117  J. Geophys. Res., 121, 1085-1109.
80    </li></ul>
81    
82    <ul><li>
83    H. Song, Marshall, J., Follows, M., Dutkiewicz, S., and G. Forget, 2016:
84    <a href="http://www.sciencedirect.com/science/article/pii/S0924796316000452">
85    Source waters for the highly productive Patagonian shelf in the southwestern Atlantic.
86    </a> J. Mar. Syst., 158, 120-128.
87  </li></ul>  </li></ul>
88    
89  <ul><li>  <ul><li>
90  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen,  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen,
91  2016: </a href="http://www.the-cryosphere-discuss.net/tc-2016-13/">  2016: <a href="http://www.the-cryosphere-discuss.net/tc-2016-13/">
92  Sea ice deformation in a coupled ocean-sea ice model and in satellite  Sea ice deformation in a coupled ocean-sea ice model and in satellite
93  remote sensing data.</a> The Cryosphere, submitted.  remote sensing data.</a> The Cryosphere, 10.5194/tc-2016-13
94    </li></ul>
95    
96    <ul><li>
97    D. Stammer, M. Balmaseda, P. Heimbach, A.Koehl, and A. Weaver, 2016: Ocean
98    Data Assimilation in Support of Climate Applications: Status and
99    Perspectives. Ann. Rev. Mar. Sci., 8, 491-518.
100  </li></ul>  </li></ul>
101    
102  <ul><li>  <ul><li>
103  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and  C. Wunsch, 2016: Global Ocean Integrals and Means, with Trend
104  I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent  Implications. Ann. Rev. Mar. Sci., 8, 1-33.
 vertical mixing using seasonally averaged observations from the  
 TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  
105  </li></ul>  </li></ul>
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