/[MITgcm]/www.ecco-group.org/ecco_2014_pub.html
ViewVC logotype

Diff of /www.ecco-group.org/ecco_2014_pub.html

Parent Directory Parent Directory | Revision Log Revision Log | View Revision Graph Revision Graph | View Patch Patch

revision 1.19 by dimitri, Wed Nov 19 06:49:32 2014 UTC revision 1.27 by dimitri, Mon Jul 20 13:45:19 2015 UTC
# Line 1  Line 1 
1  <ul><li>  <ul><li>
 R. Abernathey, D. Ferreira, and A. Klocker, 2014: Diagnostics of eddy  
 mixing in a circumpolar channel. Ocean Modelling, submitted.  
 </li></ul>  
   
 <ul><li>  
2  M. Azaneu, R. Kerr, and M. Mata,  M. Azaneu, R. Kerr, and M. Mata,
3  2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">  2014: <a href="http://www.ocean-sci.net/10/923/2014/os-10-923-2014.html">
4  Assessment of the ECCO2 reanalysis on the representation of Antarctic  Assessment of the representation of Antarctic Bottom Water properties in the
5  Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.  ECCO2 reanalysis.</a> Ocean Sci., 10, 923-946.
 </li></ul>  
   
 <ul><li>  
 H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,  
 K. Bowman, and H. Zhang, 2014:  
 <a href="http://ecco2.org/manuscripts/2014/Brix2014.pdf"> Using  
 Green's Functions to initialize and adjust a global, eddying ocean  
 biogeochemistry general circulation model.</a> Ocean Modelling,  
 submitted.  
6  </li></ul>  </li></ul>
7    
8  <ul><li>  <ul><li>
# Line 26  Atlantic. J. Clim., 27, 4996-5018. Line 12  Atlantic. J. Clim., 27, 4996-5018.
12  </li></ul>  </li></ul>
13    
14  <ul><li>  <ul><li>
 M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014: Determining the  
 origins of advective heat transport variability in the North Atlantic. J.  
 Clim., in revision.  
 </li></ul>  
   
 <ul><li>  
15  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
16  atmospheric reanalysis products for the Arctic Ocean and implications  atmospheric reanalysis products for the Arctic Ocean and implications
17  for uncertainties in air-sea fluxes, J. Clim., 27, 5411-5421.  for uncertainties in air-sea fluxes, J. Clim., 27, 5411-5421.
# Line 46  global eddy-permitting state estimate. < Line 26  global eddy-permitting state estimate. <
26  </li></ul>  </li></ul>
27    
28  <ul><li>  <ul><li>
29  G. Danabasoglu, et al., 2014: North Atlantic simulations in  H. Dail and C. Wunsch, 2014: Dynamical Reconstruction of Upper-Ocean
30  Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part  Conditions in the Last Glacial Maximum Atlantic.  J. Clim., 27, 807–823.
31  I: Mean states. Ocean Modelling, 73, 76-107.  </ul></li>
32    
33    <ul><li>
34    G. Danabasoglu, et al., 2014: North Atlantic simulations in Coordinated
35    Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean
36    states. Ocean Modelling, 73, 76-107.
37    </li></ul>
38    
39    <ul><li>
40    G. Danabasoglu, R. Curry, P. Heimbach, Y. Kushnir, C. Meinen, R. Msadek,
41    M. Patterson, L. Thompson, S. Yeager, and R. Zhang, 2014: 2013 US AMOC Science
42    Team Annual Report on Progress and Priorities. 162 pp. <a
43    href="https://usclivar.org/sites/default/files/amoc/2014/USAMOC_2013AnnualReport_final.pdf">
44    US CLIVAR Report 2014-4</a>, US CLIVAR Project Office, Washington D.C., 20006.
45    </ul></li>
46    
47    <ul><li>
48    V. Dansereau, P. Heimbach, and M. Losch, 2014: Simulation of sub-ice shelf
49    melt rates in a general circulation model: velocity-dependent transfer and the
50    role of friction.  J. Geophys. Res., 119, 1765-1790.
51    </ul></li>
52    
53    <ul><li>
54    
55    T. Dotto, R. Kerr, M. Mata, M. Azaneu, I. Wainer, E. Fahrbach, and G. Rohardt,
56    2014: <a href="http://www.ocean-sci.net/10/523/2014/os-10-523-2014.html">
57    Assessment of the structure and variability of Weddell Sea water masses in
58    distinct ocean reanalysis products.</a> Ocean Sci., 10, 523-546.
59  </li></ul>  </li></ul>
60    
61  <ul><li>  <ul><li>
# Line 67  Deep-Sea Res. I, 86, 1-20. Line 74  Deep-Sea Res. I, 86, 1-20.
74  </li></ul>  </li></ul>
75    
76  <ul><li>  <ul><li>
77  M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:  P. Heimbach, F. Straneo, O. Sergienko, and G. Hamilton, 2014:
78  <a href="http://ecco2.org/manuscripts/2014/Flexas2014.pdf">  International workshop on understanding the response of Greenlands marine-terminating glaciers to oceanic and atmospheric forcing: Challenges to improving observations, process understanding and modeling. June 4-7, 2013, Beverly, MA, USA.
79  Role of tides on the formation of the Antarctic Slope Front at the  <a href="http://www.usclivar.org/sites/default/files/documents/2014/2013GRISOWorkshopReport_v2_0.pdf">US CLIVAR Report 2014-1</a>, US CLIVAR Project Office, Washington DC, 20006.
80  Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.  </ul></li>
 </li></ul>  
   
 <ul><li>  
 D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:  
 Quantifying the processes controlling intraseasonal mixed-layer  
 temperature variability in the tropical Indian  
 Ocean. J. Geophys. Res., revised.  
 </li></ul>  
   
 <ul><li>  
 D. Halpern, D. Menemenlis, and X. Wang,  
 2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">  
 Impact of data assimilation on ECCO2 Equatorial Undercurrent and North  
 Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean  
 Tech., in press.  
 </li></ul>  
81    
82  <ul><li>  <ul><li>
83  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty  A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
84  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
85  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), 36, S267–S295.
86  </li></ul>  </li></ul>
87    
88  <ul><li>  <ul><li>
89  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,  J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
90  J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,  G. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
91  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">  2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
92  Carbon monitoring system flux estimation and attribution: Impact of  Carbon monitoring system flux estimation and attribution: Impact of
93  ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric  ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
# Line 112  model.</a> J. Mar. Syst., 129, 437-451. Line 103  model.</a> J. Mar. Syst., 129, 437-451.
103  </li></ul>  </li></ul>
104    
105  <ul><li>  <ul><li>
 L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,  
 C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,  
 2014: Quantifying the observability of CO2 flux uncertainty in  
 atmospheric CO2 records using products from NASA's Carbon Monitoring  
 Flux Pilot Project. J. Geophys. Res., submitted.  
 </li></ul>  
   
 <ul><li>  
 C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2014: Vertical  
 structure  of ocean pressure fluctuations with application  
 to satellite-gravimetric observations. J. Atmos. Oce. Tech., in revision.  
 </li></ul>  
   
 <ul><li>  
106  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
107  level change.  J. Clim., 27, 824-834.  level change.  J. Clim., 27, 824-834.
108  </li></ul>  </li></ul>
# Line 137  in the Australian-Antarctic and Bellings Line 114  in the Australian-Antarctic and Bellings
114  </li></ul>  </li></ul>
115    
116  <ul><li>  <ul><li>
117    R. Sciascia, C. Cenedese, D. Nicoli, P. Heimbach, and F. Straneo, 2014: Impact
118    of periodic intermediary flows on submarine melting of a Greenland glacier.
119    J. Geophys. Res., 119, 7078-7098.
120    </ul></li>
121    
122    <ul><li>
123  H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,  H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
124  M. Schodlok, and A. Khazendar,  M. Schodlok, and A. Khazendar,
125  2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">  2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
# Line 146  to climate forcing for the next 50 years Line 129  to climate forcing for the next 50 years
129  </li></ul>  </li></ul>
130    
131  <ul><li>  <ul><li>
 G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice  
 deformation in a coupled ocean-sea ice model and in satellite remote  
 sensing data. J. Geophys. Res., submitted.  
 </li></ul>  
   
 <ul><li>  
132  N. Vinogradova,  R. Ponte, I. Fukumori, and O. Wang, 2014:  N. Vinogradova,  R. Ponte, I. Fukumori, and O. Wang, 2014:
133  Estimating satellite salinity errors for assimilation of Aquarius and SMOS  Estimating satellite salinity errors for assimilation of Aquarius and SMOS
134  data into climate models. J. Geophys. Res., 119.  data into climate models. J. Geophys. Res., 119.
135  </li></ul>  </li></ul>
136    
137  <ul><li>  <ul><li>
 N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J. Campin,  
 and J. Davis, 2014: Dynamic adjustment of the ocean circulation to  
 self-attraction and loading effects, J. Phys. Oceanogr., in revision.  
 </li></ul>  
   
 <ul><li>  
138  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
139  ocean variability, J. Phys. Oceanogr., 44, 944-966.  ocean variability, J. Phys. Oceanogr., 44, 944-966.
140  </li></ul>  </li></ul>
141    
142  <ul><li>  <ul><li>
143  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
144  Abyssal Ocean. J. Phys. Oceanogr., in press.  Abyssal Ocean. J. Phys. Oceanogr., 44, 2013-2030.
 </li></ul>  
   
 <ul><li>  
 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.  
 </li></ul>  
   
 <ul><li>  
 V. Zemskova, B. White, and A. Scotti, 2014: Available potential energy  
 and the general circulation: Partitioning wind, buoyancy forcing, and  
 irreversible mixing. J. Phys. Oceanogr., submitted.  
145  </li></ul>  </li></ul>
Legend:
Removed from v.1.19  
changed lines
  Added in v.1.27
  ViewVC Help
Powered by ViewVC 1.1.22