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revision 1.10 by dimitri, Fri Apr 25 15:11:38 2014 UTC revision 1.18 by dimitri, Tue Nov 18 17:42:38 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.  R. Chen, G. Flerl, and C. Wunsch, 2014:
36    <a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
37    description of local and nonlocal eddy-mean flow interaction in a
38    global eddy-permitting state estimate. </a> J. Phys. Oceanogr., 44,
39    2336-2352.
40    </li></ul>
41    
42    <ul><li>
43    G. Danabasoglu, et al., 2014: North Atlantic simulations in
44    Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part
45    I: Mean states. Ocean Modelling, 73, 76-107.
46    </li></ul>
47    
48    <ul><li>
49    B. Dushaw, 2014:
50    <a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
51    Assessing the horizontal refraction of ocean acoustic tomography
52    signals using high-resolution ocean state estimates.</a>
53    Acoust. Soc. Am., 136, 122.
54  </li></ul>  </li></ul>
55    
56  <ul><li>  <ul><li>
# Line 32  Deep-Sea Res. I, 86, 1-20. Line 61  Deep-Sea Res. I, 86, 1-20.
61  </li></ul>  </li></ul>
62    
63  <ul><li>  <ul><li>
64    M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:
65    <a href="http://ecco2.org/manuscripts/2014/Flexas2014.pdf">
66    Role of tides on the formation of the Antarctic Slope Front at the
67    Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
68    </li></ul>
69    
70    <ul><li>
71    D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:
72    Quantifying the processes controlling intraseasonal mixed-layer
73    temperature variability in the tropical Indian
74    Ocean. J. Geophys. Res., revised.
75    </li></ul>
76    
77    <ul><li>
78    D. Halpern, D. Menemenlis, and X. Wang,
79    2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">
80    Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
81    Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
82    Tech., in press.
83    </li></ul>
84    
85    <ul><li>
86  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
87  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
88  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), submitted.
# Line 39  Quantification in Global Ocean State Est Line 90  Quantification in Global Ocean State Est
90    
91  <ul><li>  <ul><li>
92  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
93  D. Menemenlis, L. Ott, S. Pawson, R. Nassar, D. Jones, and J. Collatz,  J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
94  Carbon Monitoring System Flux estimation and attribution (CMS-Flux):  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
95  Impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial  Carbon monitoring system flux estimation and attribution: Impact of
96  biospheric sources and sinks, Tellus B, in press.  ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
97    sources and sinks.</a> Tellus B, 66, 22486.
98  </li></ul>  </li></ul>
99    
100  <ul><li>  <ul><li>
# Line 54  model.</a> J. Mar. Syst., 129, 437-451. Line 106  model.</a> J. Mar. Syst., 129, 437-451.
106  </li></ul>  </li></ul>
107    
108  <ul><li>  <ul><li>
109  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,
110    C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,
111    2014: Quantifying the observability of CO2 flux uncertainty in
112    atmospheric CO2 records using products from NASA's Carbon Monitoring
113    Flux Pilot Project. J. Geophys. Res., submitted.
114    </li></ul>
115    
116    <ul><li>
117    C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
118    level change.  J. Clim., in press.
119    </li></ul>
120    
121    <ul><li>
122    H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
123    M. Schodlok, and A. Khazendar,
124    2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
125    Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
126    to climate forcing for the next 50 years.</a> The Cryosphere, 8,
127    1699-1710.
128  </li></ul>  </li></ul>
129    
130  <ul><li>  <ul><li>
# Line 69  ocean variability, J. Phys. Oceanogr., 4 Line 139  ocean variability, J. Phys. Oceanogr., 4
139  </li></ul>  </li></ul>
140    
141  <ul><li>  <ul><li>
142  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
143    Abyssal Ocean. J. Phys. Oceanogr., in press.
144  </li></ul>  </li></ul>
145    
146  <ul><li>  <ul><li>
147  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
148    I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent
149    vertical mixing using seasonally averaged observations from the
150    TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
151  </li></ul>  </li></ul>
152    
153    <ul><li>
154    V. Zemskova, B. White, and A. Scotti, 2014: Available potential energy
155    and the general circulation: Partitioning wind, buoyancy forcing, and
156    irreversible mixing. J. Phys. Oceanogr., submitted.
157    </li></ul>
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