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Author Srinivasan, A.; Chassignet, E.P.; Bertino, L.; Brankart, J.M.; Brasseur, P.; Chin, T.M.; Counillon, F.; Cummings, J.A.; Mariano, A.J.; Smedstad, O.M.; Thacker, W.C. url  doi
openurl 
  Title A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances Type $loc['typeJournal Article']
  Year 2011 Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume 37 Issue 3-4 Pages 85-111  
  Keywords Data assimilation; Ocean modeling; Ocean prediction; Twin experiments; Sequential assimilation; MVOI; EnOI; SEEK; ROIF; EnROIF  
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  Series Volume Series Issue Edition  
  ISSN 1463-5003 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 320  
Permanent link to this record
 

 
Author Dombrowsky, E.; Bertino, L.; Brassington, G.; Chassignet, E.; Davidson, F.; Hurlburt, H.; Kamachi, M.; Lee, T.; Martin, M.; Mei, S.; Tonani, M. url  doi
openurl 
  Title GODAE Systems in Operation Type $loc['typeJournal Article']
  Year 2009 Publication Oceanography Abbreviated Journal Oceanog.  
  Volume 22 Issue 3 Pages 80-95  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1042-8275 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 382  
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Author Hernandez, F.; Bertino, L.; Brassington, G.; Chassignet, E.; Cummings, james; Davidson, F.; Drévillon, M.; Garric, G.; Kamachi, M.; Lellouche, J.-M.; Mahdon, R.; Martin, M.; Ratsimandresy, A.; Regnier, C. url  doi
openurl 
  Title Validation and Intercomparison Studies Within GODAE Type $loc['typeJournal Article']
  Year 2009 Publication Oceanography Abbreviated Journal Oceanog.  
  Volume 22 Issue 3 Pages 128-143  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1042-8275 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 383  
Permanent link to this record
 

 
Author Ali, A.; Christensen, K.H.; Breivik, Ø.; Malila, M.; Raj, R.P.; Bertino, L.; Chassignet, E.P.; Bakhoday-Paskyabi, M. url  doi
openurl 
  Title A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans Type $loc['typeJournal Article']
  Year 2019 Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume 137 Issue Pages 76-97  
  Keywords Langmuir mixing parameterization Mixed layer depth Sea surface temperature Ocean heat content Stokes penetration depth  
  Abstract Five different parameterizations of Langmuir turbulence (LT) effect are investigated in a realistic model of the North Atlantic and Arctic using realistic wave forcing from a global wave hindcast. The parameterizations mainly apply an enhancement to the turbulence velocity scale, and/or to the entrainment buoyancy flux in the surface boundary layer. An additional run is also performed with other wave effects to assess the relative importance of Langmuir turbulence, namely the Coriolis-Stokes forcing, Stokes tracer advection and wave-modified momentum fluxes. The default model (without wave effects) underestimates the mixed layer depth in summer and overestimates it at high latitudes in the winter. The results show that adding LT mixing reduces shallow mixed layer depth (MLD) biases, particularly in the subtropics all year-around, and in the Nordic Seas in summer. There is overall a stronger relative impact on the MLD during winter than during summer. In particular, the parameterization with the most vigorous LT effect causes winter MLD increases by more than 50% relative to a control run without Langmuir mixing. On the contrary, the parameterization which assumes LT effects on the entrainment buoyancy flux and accounts for the Stokes penetration depth is able to enhance the mixing in summer more than in winter. This parametrization is also distinct from the others because it restrains the LT mixing in regions of deep MLD biases, so it is the preferred choice for our purpose. The different parameterizations do not change the amplitude or phase of the seasonal cycle of heat content but do influence its long-term trend, which means that the LT can influence the drift of ocean models. The combined impact on water mass properties from the Coriolis-Stokes force, the Stokes drift tracer advection, and the wave-dependent momentum fluxes is negligible compared to the effect from the parameterized Langmuir turbulence.  
  Address  
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  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1463-5003 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1001  
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