Skip to main content
Skip to main content

COAPS Virtual Library (Publications)

Search within Results:
Display Options:

Select All    Deselect All
 |   | 
Details
   print
  Records Links (down)
Author Le Sommer, Julien; Chassignet, E.P.; Wallcraft, A. J. url  openurl
  Title Ocean Circulation Modeling for Operational Oceanography: Current Status and Future Challenges Type $loc['typeBook Chapter']
  Year 2018 Publication New Frontiers in Operational Oceanography Abbreviated Journal  
  Volume Issue Pages 289-305  
  Keywords OCEAN MODELING; OCEAN CIRCULATION; PARAMETERIZATIONS  
  Abstract This chapter focuses on ocean circulation models used in operational oceanography, physical oceanography and climate science. Ocean circulation models area particular branch of ocean numerical modeling that focuses on the representation of ocean physical properties over spatial scales ranging from the global scale to less than a kilometer and time scales ranging from hours to decades. As such, they are an essential build-ing block for operational oceanography systems and their design receives a lot of attention from operational and research centers.  
  Address  
  Corporate Author Thesis  
  Publisher GODAE OceanView Place of Publication Tallahassee, FL Editor Chassignet, E. P., A. Pascual, J. Tintoré, and J. Verron  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 948  
Permanent link to this record
 

 
Author Winterbottom, H url  openurl
  Title The Development of a High-Resolution Coupled Atmosphere-Ocean Model and Applications Toward Understanding the Limiting Factors for Tropical Cyclone Intensity Prediction Type $loc['typeManuscript']
  Year 2010 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Tropical cyclone vortex initialization, Coupled atmosphere-ocean model  
  Abstract The prediction of tropical cyclone (TC) motion has improved greatly in recent decades. However, similar trends remain absent with respect to TC intensity prediction. Several hypotheses have been proposed attempting to explain why dynamical NWP models struggle to predict TC intensity. The leading candidates are as follows: (1) the lack of an evolving ocean (i.e., sea-surface temperature) boundary condition which responds as a function of the atmosphere (e.g., TC) forcing, (2) inappropriate initial conditions for the TC vortex (e.g., lack of data assimilation methods), (3) NWP model grid-length resolutions which are unable to resolve the temporal and length scale for the features believed responsible for TC vortex intensity. modulations (i.e., eye-wall dynamics, momentum transport, vortex Rossby wave interactions, etc.), and (4) physical parametrization which do not adequately represent the air-sea interactions observed during TC passage. In this study, a coupling algorithm for two independent, high-resolution, and state-of-the-art atmosphere and ocean models is developed. The atmosphere model -- the Advanced Weather Research and Forecasting (WRF-ARW) model is coupled to the HYbrid Coordinate Ocean Model (HYCOM) using a (UNIX) platform independent and innovative coupling methodology. Further, within the WRF-ARW framework, a dynamic initialization algorithm is developed to specify the TC vortex initial condition while preserving the synoptic-scale environment. Each of the tools developed in this study is implemented for a selected case-study: TC Bertha (2008) and TC Gustav (2008) for the coupled-model and TC vortex initialization, respectively. The experiment results suggest that the successful prediction (with respect to the observations) for both the ocean response and the TC intensity cannot be achieved by simply incorporating (i.e., coupling) an ocean model and/or by improving the initial structure for the TC. Rather the physical parametrization governing the air-sea interactions is suggested as the one of the weaknesses for the NWP model. This hypothesis is (indirectly) supported through a diagnostic evaluation of the synoptic-scale features (e.g., sea-level pressure and the deep-layer mean wind beyond the influence of the TC) while the assimilated TC vortex is nudged toward the observed intensity value. It is found -- in the case of TC Gustav (2008) using WRF-ARW, that as the assimilated TC vortex intensity approaches that of the observed, the balance between the mass and momentum states for WRF-ARW is compromised leading to unrealistic features for the environmental sea-level pressure and deep-layer (800- to 200-hPa) mean wind surrounding the TC. Forcing WRF-ARW to assimilate a TC vortex of the observed maximum wind-speed intensity may ultimately compromise the prediction for the TC's motion and subsequently mitigate any gains for the corresponding intensity prediction.Suggestions for additions to the coupled atmosphere-ocean model include a wave-model (WAVEWATCH3), the assimilation of troposphere thermodynamic observations, and modifications to the existing atmospheric boundary-layer parametrization. The current suite of atmosphere model parametrizations do not accurately simulate the observed azimuthal and radial variations for the exchange coefficients (e.g., drag and enthalpy) that have been indicated as potentialpredictor variables for TC intensity modulation. However, these modifications should be implemented only after the limitations for the current coupled-model and TC vortex initialization methods are fully evaluated.  
  Address Department of Meteorology  
  Corporate Author Thesis $loc['Ph.D. thesis']  
  Publisher Florida State University Place of Publication Tallahassee, FL Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 572  
Permanent link to this record
 

 
Author Yu, P url  openurl
  Title Development of New Techniques for Assimilating Satellite Altimetry Data into Ocean Models Type $loc['typeManuscript']
  Year 2006 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Data Assimilation, Reduced Space, First Baroclinic Mode, Ocean Models, Vertical Normal Mode Decomposition, Variational  
  Abstract State of the art fully three-dimensional ocean models are very computationally expensive and their adjoints are even more resource intensive. However, many features of interest are approximated by the first baroclinic mode over much of the ocean, especially in the lower and mid latitude regions. Based on this dynamical feature, a new type of data assimilation scheme to assimilate sea surface height (SSH) data, a reduced-space adjoint technique, is developed and implemented with a three-dimensional model using vertical normal mode decomposition. The technique is tested with the Navy Coastal Ocean Model (NCOM) configured to simulate the Gulf of Mexico. The assimilation procedure works by minimizing the cost function, which generalizes the misfit between the observations and their counterpart model variables. The “forward” model is integrated for the period during which the data are assimilated. Vertical normal mode decomposition retrieves the first baroclinic mode, and the data misfit between the model outputs and observations is calculated. Adjoint equations based on a one-active-layer reduced gravity model, which approximates the first baroclinic mode, are integrated backward in time to get the gradient of the cost function with respect to the control variables (velocity and SSH of the first baroclinic mode). The gradient is input to an optimization algorithm (the limited memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is used for the cases presented here) to determine the new first baroclinic mode velocity and SSH fields, which are used to update the forward model variables at the initial time. Two main issues in the area of ocean data assimilation are addressed: 1. How can information provided only at the sea surface be transferred dynamically into deep layers? 2. How can information provided only locally, in limited oceanic regions, be horizontally transferred to ocean areas far away from the data-dense regions, but dynamically connected to it? The first problem is solved by the use of vertical normal mode decomposition, through which the vertical dependence of model variables is obtained. Analyses show that the first baroclinic mode SSH represents the full SSH field very closely in the model test domain, with a correlation of 93% in one of the experiments. One common way to solve the second issue is to lengthen the assimilation window in order to allow the dynamic model to propagate information to the data-sparse regions. However, this dramatically increases the computational cost, since many oceanic features move very slowly. An alternative solution to this is developed using a mapping method based on complex empirical orthogonal functions (EOF), which utilizes data from a much longer period than the assimilation cycle and deals with the information in space and time simultaneously. This method is applied to map satellite altimeter data from the ground track observation locations and times onto a regular spatial and temporal grid. Three different experiments are designed for testing the assimilation technique: two experiments assimilate SSH data produced from a model run to evaluate the method, and in the last experiment the technique is applied to TOPEX/Poseidon and Jason-1 altimeter data. The assimilation procedure converges in all experiments and reduces the error in the model fields. Since the adjoint, or “backward”, model is two-dimensional, the method is much more computationally efficient than if it were to use a fully three-dimensional backward model.  
  Address Department of Oceanography  
  Corporate Author Thesis $loc['Ph.D. thesis']  
  Publisher Florida State University Place of Publication Tallahassee, FL Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding NSF, ONR, NASA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 589  
Permanent link to this record
 

 
Author Todd, A.C.; Morey, S.L.; Chassignet, E.P. url  doi
openurl 
  Title Circulation and cross-shelf transport in the Florida Big Bend Type $loc['typeJournal Article']
  Year 2014 Publication Journal of Marine Research Abbreviated Journal J Mar Res  
  Volume 72 Issue 6 Pages 445-475  
  Keywords Coastal circulation; ocean modeling; larval transport; gag grouper; Florida Big Bend  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0022-2402 ISBN Medium  
  Area Expedition Conference  
  Funding BP/Deep-C, NOAA NGI, NASA/JPL/OVWST, ONR Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 148  
Permanent link to this record
 

 
Author Hiester, H.R.; Morey, S.L.; Dukhovskoy, D.S.; Chassignet, E.P.; Kourafalou, V.H.; Hu, C. url  doi
openurl 
  Title A topological approach for quantitative comparisons of ocean model fields to satellite ocean color data Type $loc['typeJournal Article']
  Year 2016 Publication Methods in Oceanography Abbreviated Journal Methods in Oceanography  
  Volume 17 Issue Pages 232-250  
  Keywords Satellite data; Ocean model; Ocean color; Sea surface salinity; Shape comparison; Hausdorff distance  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2211-1220 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 78  
Permanent link to this record
 

 
Author Danabasoglu, G.; Yeager, S.G.; Kim, W.M.; Behrens, E.; Bentsen, M.; Bi, D.; Biastoch, A.; Bleck, R.; Böning, C.; Bozec, A.; Canuto, V.M.; Cassou, C.; Chassignet, E.; Coward, A.C.; Danilov, S.; Diansky, N.; Drange, H.; Farneti, R.; Fernandez, E.; Fogli, P.G.; Forget, G.; Fujii, Y.; Griffies, S.M.; Gusev, A.; Heimbach, P.; Howard, A.; Ilicak, M.; Jung, T.; Karspeck, A.R.; Kelley, M.; Large, W.G.; Leboissetier, A.; Lu, J.; Madec, G.; Marsland, S.J.; Masina, S.; Navarra, A.; Nurser, A.J.G.; Pirani, A.; Romanou, A.; Salas y Mélia, D.; Samuels, B.L.; Scheinert, M.; Sidorenko, D.; Sun, S.; Treguier, A.-M.; Tsujino, H.; Uotila, P.; Valcke, S.; Voldoire, A.; Wang, Q.; Yashayaev, I. url  doi
openurl 
  Title North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part II: Inter-annual to decadal variability Type $loc['typeJournal Article']
  Year 2016 Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume 97 Issue Pages 65-90  
  Keywords Global ocean – sea-ice modelling; Ocean model comparisons; Atmospheric forcing; Inter-annual to decadal variability and mechanisms; Atlantic meridional overturning circulation variability; Variability in the North Atlantic  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  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 @ mfield @ Serial 34  
Permanent link to this record
 

 
Author Downes, S.M.; Farneti, R.; Uotila, P.; Griffies, S.M.; Marsland, S.J.; Bailey, D.; Behrens, E.; Bentsen, M.; Bi, D.; Biastoch, A.; Böning, C.; Bozec, A.; Canuto, V.M.; Chassignet, E.; Danabasoglu, G.; Danilov, S.; Diansky, N.; Drange, H.; Fogli, P.G.; Gusev, A.; Howard, A.; Ilicak, M.; Jung, T.; Kelley, M.; Large, W.G.; Leboissetier, A.; Long, M.; Lu, J.; Masina, S.; Mishra, A.; Navarra, A.; George Nurser, A.J.; Patara, L.; Samuels, B.L.; Sidorenko, D.; Spence, P.; Tsujino, H.; Wang, Q.; Yeager, S.G. url  doi
openurl 
  Title An assessment of Southern Ocean water masses and sea ice during 1988-2007 in a suite of interannual CORE-II simulations Type $loc['typeJournal Article']
  Year 2015 Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume 94 Issue Pages 67-94  
  Keywords Southern Ocean; CORE-II experiments; Water masses; Sea ice; Ocean model intercomparison  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  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 @ mfield @ Serial 99  
Permanent link to this record
 

 
Author Danabasoglu, G.; Yeager, S.G.; Bailey, D.; Behrens, E.; Bentsen, M.; Bi, D.; Biastoch, A.; Böning, C.; Bozec, A.; Canuto, V.M.; Cassou, C.; Chassignet, E.; Coward, A.C.; Danilov, S.; Diansky, N.; Drange, H.; Farneti, R.; Fernandez, E.; Fogli, P.G.; Forget, G.; Fujii, Y.; Griffies, S.M.; Gusev, A.; Heimbach, P.; Howard, A.; Jung, T.; Kelley, M.; Large, W.G.; Leboissetier, A.; Lu, J.; Madec, G.; Marsland, S.J.; Masina, S.; Navarra, A.; George Nurser, A.J.; Pirani, A.; y Mélia, D.S.; Samuels, B.L.; Scheinert, M.; Sidorenko, D.; Treguier, A.-M.; Tsujino, H.; Uotila, P.; Valcke, S.; Voldoire, A.; Wang, Q. url  doi
openurl 
  Title North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states Type $loc['typeJournal Article']
  Year 2014 Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume 73 Issue Pages 76-107  
  Keywords Global ocean–sea-ice modelling Ocean model comparisons Atmospheric forcing Experimental design Atlantic meridional overturning circulation North Atlantic simulations  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  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 @ mfield @ Serial 159  
Permanent link to this record
 

 
Author Morey, S.L.; Dukhovskoy, D.S. url  doi
openurl 
  Title A downscaling method for simulating deep current interactions with topography – Application to the Sigsbee Escarpment Type $loc['typeJournal Article']
  Year 2013 Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume 69 Issue Pages 50-63  
  Keywords Ocean modeling; Model nesting; Topographic flows; USA; Gulf of Mexico; Sigsbee Escarpment  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1463-5003 ISBN Medium  
  Area Expedition Conference  
  Funding DeepStar, HYCOM Consortium Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 183  
Permanent link to this record
 

 
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  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  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 @ mfield @ Serial 320  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records:

2000 Levy Avenue
Building A, Suite 292
Tallahassee, FL 32306-2741
Phone: (850) 644-4581
Fax: (850) 644-4841
contact@coaps.fsu.edu

© 2024 Center for Ocean-Atmospheric Prediction Studies (COAPS), Florida State University

Center for Ocean-Atmospheric Prediction Studies (COAPS)