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revision 1.11 by dimitri, Mon May 19 19:09:19 2014 UTC revision 1.17 by dimitri, Fri Nov 7 03:23:22 2014 UTC
# Line 4  mixing in a circumpolar channel. Ocean M Line 4  mixing in a circumpolar channel. Ocean M
4  </li></ul>  </li></ul>
5    
6  <ul><li>  <ul><li>
7  H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang, K. Bowman,  M. Azaneu, R. Kerr, and M. Mata,
8  and H. Zhang, 2014: Using Green's Functions to initialize and adjust a global,  2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">
9  eddying ocean biogeochemistry general circulation model. Ocean Modelling,  Assessment of the ECCO2 reanalysis on the representation of Antarctic
10    Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.
11    </li></ul>
12    
13    <ul><li>
14    H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
15    K. Bowman, and H. Zhang, 2014:
16    <a href="http://ecco2.org/manuscripts/2014/Brix2014.pdf"> Using
17    Green's Functions to initialize and adjust a global, eddying ocean
18    biogeochemistry general circulation model.</a> Ocean Modelling,
19  submitted.  submitted.
20  </li></ul>  </li></ul>
21    
# Line 17  Atlantic. J. Clim., in revision. Line 26  Atlantic. J. Clim., in revision.
26  </li></ul>  </li></ul>
27    
28  <ul><li>  <ul><li>
29  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of atmospheric reanalysis products for the Arctic Ocean and implications for uncertainties in air-sea fluxes, Journal of Climate, in revision.  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
30    atmospheric reanalysis products for the Arctic Ocean and implications
31    for uncertainties in air-sea fluxes, Journal of Climate, in revision.
32  </li></ul>  </li></ul>
33    
34  <ul><li>  <ul><li>
35  G. Danabasoglu, et al., 2014: North Atlantic simulations in Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean states. Ocean Modelling, 73, 76-107.  G. Danabasoglu, et al., 2014: North Atlantic simulations in
36    Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part
37    I: Mean states. Ocean Modelling, 73, 76-107.
38    </li></ul>
39    
40    <ul><li>
41    B. Dushaw, 2014:
42    <a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
43    Assessing the horizontal refraction of ocean acoustic tomography
44    signals using high-resolution ocean state estimates.</a>
45    Acoust. Soc. Am., 136, 122.
46  </li></ul>  </li></ul>
47    
48  <ul><li>  <ul><li>
# Line 32  Deep-Sea Res. I, 86, 1-20. Line 53  Deep-Sea Res. I, 86, 1-20.
53  </li></ul>  </li></ul>
54    
55  <ul><li>  <ul><li>
56    M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:
57    <a href="http://ecco2.org/manuscripts/2014/Flexas2014.pdf">
58    Role of tides on the formation of the Antarctic Slope Front at the
59    Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
60    </li></ul>
61    
62    <ul><li>
63    D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:
64    Quantifying the processes controlling intraseasonal mixed-layer
65    temperature variability in the tropical Indian
66    Ocean. J. Geophys. Res., revised.
67    </li></ul>
68    
69    <ul><li>
70    D. Halpern, D. Menemenlis, and X. Wang,
71    2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">
72    Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
73    Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
74    Tech., in press.
75    </li></ul>
76    
77    <ul><li>
78  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
79  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
80  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), submitted.
# Line 55  model.</a> J. Mar. Syst., 129, 437-451. Line 98  model.</a> J. Mar. Syst., 129, 437-451.
98  </li></ul>  </li></ul>
99    
100  <ul><li>  <ul><li>
101  C. Piecuch and R. Ponte, 2014:  Mechanisms of global mean steric sea level change.  J. Clim., in press.  L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,
102    C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,
103    2014: Quantifying the observability of CO2 flux uncertainty in
104    atmospheric CO2 records using products from NASA's Carbon Monitoring
105    Flux Pilot Project. J. Geophys. Res., submitted.
106    </li></ul>
107    
108    <ul><li>
109    C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
110    level change.  J. Clim., in press.
111  </li></ul>  </li></ul>
112    
113  <ul><li>  <ul><li>
# Line 70  ocean variability, J. Phys. Oceanogr., 4 Line 122  ocean variability, J. Phys. Oceanogr., 4
122  </li></ul>  </li></ul>
123    
124  <ul><li>  <ul><li>
125  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the Abyssal Ocean. J. Phys. Oceanogr., in press.  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
126    Abyssal Ocean. J. Phys. Oceanogr., in press.
127  </li></ul>  </li></ul>
128    
129  <ul><li>  <ul><li>
130  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent vertical mixing using seasonally averaged observations from the TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.  S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
131    I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent
132    vertical mixing using seasonally averaged observations from the
133    TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
134  </li></ul>  </li></ul>
135    
136  <ul><li>  <ul><li>
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