Records |
Author |
Fox-Kemper, B.; Adcroft, A.; Böning, C.W.; Chassignet, E.P.; Curchitser, E.; Danabasoglu, G.; Eden, C.; England, M.H.; Gerdes, R.; Greatbatch, R.J.; Griffies, S.M.; Hallberg, R.W.; Hanert, E.; Heimbach, P.; Hewitt, H.T.; Hill, C.N.; Komuro, Y.; Legg, S.; Le Sommer, J.; Masina, S.; Marsland, S.J.; Penny, S.G.; Qiao, F.; Ringler, T.D.; Treguier, A.M.; Tsujino, H.; Uotila, P.; Yeager, S.G. |
Title |
Challenges and Prospects in Ocean Circulation Models |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Frontiers in Marine Science |
Abbreviated Journal |
Front. Mar. Sci. |
Volume |
6 |
Issue |
|
Pages |
|
Keywords |
Southern Ocean; Overturning Circulation: Regional sea level; submesoscale; ice shelves; turbulence |
Abstract |
We revisit the challenges and prospects for ocean circulation models following Griffies et al. (2010). Over the past decade, ocean circulation models evolved through improved understanding, numerics, spatial discretization, grid configurations, parameterizations, data assimilation, environmental monitoring, and process-level observations and modeling. Important large scale applications over the last decade are simulations of the Southern Ocean, the Meridional Overturning Circulation and its variability, and regional sea level change. Submesoscale variability is now routinely resolved in process models and permitted in a few global models, and submesoscale effects are parameterized in most global models. The scales where nonhydrostatic effects become important are beginning to be resolved in regional and process models. Coupling to sea ice, ice shelves, and high-resolution atmospheric models has stimulated new ideas and driven improvements in numerics. Observations have provided insight into turbulence and mixing around the globe and its consequences are assessed through perturbed physics models. Relatedly, parameterizations of the mixing and overturning processes in boundary layers and the ocean interior have improved. New diagnostics being used for evaluating models alongside present and novel observations are briefly referenced. The overall goal is summarizing new developments in ocean modeling, including how new and existing observations can be used, what modeling challenges remain, and how simulations can be used to support observations. |
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Edition |
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ISSN |
2296-7745 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1011 |
Permanent link to this record |
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Author |
Subrahmanyam, S.; Robinson, S. |
Title |
Sea Surface Height Variability in the Indian Ocean from TOPEX/POSEIDON Altimetry and Model Simulations |
Type |
$loc['typeJournal Article'] |
Year |
2000 |
Publication |
Marine Geodesy |
Abbreviated Journal |
Marine Geodesy |
Volume |
23 |
Issue |
3 |
Pages |
167-195 |
Keywords |
Kelvin And Rossby Waves; Eddies; Sea Level Variability |
Abstract |
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Original Title |
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Series Editor |
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Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0149-0419 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
792 |
Permanent link to this record |
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Author |
Briggs, K. |
Title |
ENSO Event Reproduction: A Comparison of an EOF vs. A Cyclostationary (CSEOF) Approach |
Type |
$loc['typeManuscript'] |
Year |
2006 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
EOF, Autoregression, Wind Stress, Sea Level Height, SST, ENSO, Regression, CSEOF, Cyclostationary |
Abstract |
In past studies, El Niño-Southern Oscillation (ENSO) events have been linked to devastating weather extremes. Climate modeling of ENSO is often dependent on limited records of the pertinent physical variables, thus longer records of these variables is desirable. Noisy signals, such as monthly sea surface temperature, are good candidates for reproduction by several existing auto-regression techniques. Through auto-regression, influential principal component modes are broken down into a series of time points that are each dependent upon an optimal weighting of the surrounding points. Using these unique numerical relationships, a noisy signal can be reproduced by thus processing the leading modes and adding an artificial record of properly distributed noise. Statistical measures of important ENSO regions suggest that the nature of oceanic and atmospheric anomalous events is cyclic with respect to certain timescales; for example, the monthly timescale. To detect ENSO signals in the presence of a varying background noise field, the detection method should take into account the signal's strong phase-locking with this nested variation. Cyclostationary Emperical Orthogonal Functions (CSEOFs) are built upon the idea of nested cycles, unlike traditional EOFs, which incorporate a design that is better detailed for stationary processes. In this study, both EOF and CSEOF modes of a 50-year Pacific SST record are processed using an auto-regression technique, and several sets of artificial SST records are constructed. Appropriate statistical indices are applied to these artificial time series to ensure an acceptable consistency with the real record, and then artificial data is produced using the artificial time series. In all cases, the cyclostationary approach produces more realistic warm ENSO events with respect to timing, strength, and other traits than does the stationary approach. However, both methods produce only a fair representation of cold events, suggesting that further study is necessary for improvement of La Niña modeling. Shorter records of variables such as sea level height and Pacific wind stress anomalies can hinder the usefulness of auto-regression, owing to time point dependence on surrounding points. Using a regression technique to find an evolutionary consistency (i.e. physically consistent patterns) between one of these variables and a variable with a longer record (such as SST) can eliminate this problem. Once a regression relationship is found between two variables, the variable with the shorter record can be re-written to match the time evolution of the variable with the longer record. Here regression, both EOF and CSEOF, is performed on both sea surface temperature and sea level height (a 20-year record), and sea surface temperature and wind stress (a 39-year record). Once the regression relationships are found, artificial SST time series are incorporated in place of the original time series to produce several artificial 50-year SLH and wind stress data sets. 5 Pacific regions are chosen, and statistics and behavior of the artificial sets within these regions are compared to those of the original data. Once again the cyclostationary approach fares better than the stationary. In particular the EOF assumption of cross correlational symmetry fails to capture the direction-dependence of ENSO evolution, causing inconsistent ENSO behavior. This renders an EOF method insufficient for climate modeling and prediction, and implies that a better aim is to incorporate physical cyclic features via a cyclostationary method. |
Address |
Department of Meteorology |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
614 |
Permanent link to this record |
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Author |
Morey, S.; Koch, M.; Liu, Y.; Lee, S. -K. |
Title |
Florida's oceans and marine habitats in a changing climate |
Type |
$loc['typeBook Chapter'] |
Year |
2017 |
Publication |
Florida's climate: Changes, variations, & impacts |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
391-425 |
Keywords |
Ocean climate; Sea level rise; Florida climate; Gulf of Mexico; AMOC; Caribbean climate; Florida hydrology; Florida reefs; Global warming |
Abstract |
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Publisher |
Florida Climate Institute |
Place of Publication |
Gainesville, FL |
Editor |
Chassignet, E. P.; Jones, J. W.; Misra, V.; Obeysekera, J. |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
848 |
Permanent link to this record |
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Author |
Griffies, S.M.; Yin, J.; Durack, P.J.; Goddard, P.; Bates, S.C.; Behrens, E.; Bentsen, M.; Bi, D.; Biastoch, A.; Böning, C.W.; Bozec, A.; Chassignet, E.; Danabasoglu, G.; Danilov, S.; Domingues, C.M.; Drange, H.; Farneti, R.; Fernandez, E.; Greatbatch, R.J.; Holland, D.M.; Ilicak, M.; Large, W.G.; Lorbacher, K.; Lu, J.; Marsland, S.J.; Mishra, A.; George Nurser, A.J.; Salas y Mélia, D.; Palter, J.B.; Samuels, B.L.; Schröter, J.; Schwarzkopf, F.U.; Sidorenko, D.; Treguier, A.M.; Tseng, Y.-heng; Tsujino, H.; Uotila, P.; Valcke, S.; Voldoire, A.; Wang, Q.; Winton, M.; Zhang, X. |
Title |
An assessment of global and regional sea level for years 1993-2007 in a suite of interannual CORE-II simulations |
Type |
$loc['typeJournal Article'] |
Year |
2014 |
Publication |
Ocean Modelling |
Abbreviated Journal |
Ocean Modelling |
Volume |
78 |
Issue |
|
Pages |
35-89 |
Keywords |
Sea level; CORE global ocean-ice simulations; Steric sea level; Global sea level; Ocean heat content |
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Edition |
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ISSN |
1463-5003 |
ISBN |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
128 |
Permanent link to this record |
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Author |
Wdowinski, S.; Bray, R.; Kirtman, B.P.; Wu, Z. |
Title |
Increasing flooding hazard in coastal communities due to rising sea level: Case study of Miami Beach, Florida |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Ocean & Coastal Management |
Abbreviated Journal |
Ocean & Coastal Management |
Volume |
126 |
Issue |
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Pages |
1-8 |
Keywords |
Sea level rise; Flooding hazard; Tide gauge record; EEMD; Southeast Florida |
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ISSN |
0964-5691 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
56 |
Permanent link to this record |
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Author |
Yin, J.; Griffies, S.M.; Stouffer, R.J. |
Title |
Spatial Variability of Sea Level Rise in Twenty-First Century Projections |
Type |
$loc['typeJournal Article'] |
Year |
2010 |
Publication |
Journal of Climate |
Abbreviated Journal |
J. Climate |
Volume |
23 |
Issue |
17 |
Pages |
4585-4607 |
Keywords |
Sea level; Climate prediction |
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ISSN |
0894-8755 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
369 |
Permanent link to this record |
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Author |
Woodruff, S.D.; Worley, S.J.; Lubker, S.J.; Ji, Z.; Eric Freeman, J.; Berry, D.I.; Brohan, P.; Kent, E.C.; Reynolds, R.W.; Smith, S.R.; Wilkinson, C. |
Title |
ICOADS Release 2.5: extensions and enhancements to the surface marine meteorological archive |
Type |
$loc['typeConference Article'] |
Year |
2011 |
Publication |
International Journal of Climatology |
Abbreviated Journal |
Int. J. Climatol. |
Volume |
31 |
Issue |
7 |
Pages |
951-967 |
Keywords |
marine meteorological data; ship data; buoy data; data rescue; sea surface temperature; sea level pressure; humidity; metadata |
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Series Issue |
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Edition |
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ISSN |
0899-8418 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
304 |
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Author |
Purna Chand, C.; Rao, M.V.; Ramana, I.V.; Ali, M.M.; Patoux, J.; Bourassa, M.A. |
Title |
Estimation of sea level pressure fields during Cyclone Nilam from Oceansat-2 scatterometer winds |
Type |
$loc['typeJournal Article'] |
Year |
2014 |
Publication |
Atmospheric Science Letters |
Abbreviated Journal |
Atmos. Sci. Lett. |
Volume |
15 |
Issue |
1 |
Pages |
65-71 |
Keywords |
scatterometer; sea level pressure; OSCAT |
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ISSN |
1530261X |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
125 |
Permanent link to this record |