Records |
Author |
Ali, A.; Christensen, K.H.; Breivik, Ø.; Malila, M.; Raj, R.P.; Bertino, L.; Chassignet, E.P.; Bakhoday-Paskyabi, M. |
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. |
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ISSN |
1463-5003 |
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$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1001 |
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Author |
Huang, N.E.; Wu, Z.; Pinzón, J.E.; Parkinson, C.L.; Long, S.R.; Blank, K.; Gloersen, P.; Chen, X. |
Title |
Reductions Of Noise And Uncertainty In Annual Global Surface Temperature Anomaly Data |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Advances in Adaptive Data Analysis |
Abbreviated Journal |
Adv. Adapt. Data Anal. |
Volume |
01 |
Issue |
03 |
Pages |
447-460 |
Keywords |
Global temperature change; down sampling; HHT filtering |
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1793-5369 |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
671 |
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Author |
Zavala-Hidalgo, J; Pares-Sierra, A; Ochoa, J |
Title |
Seasonal variability of the temperature and heat fluxes in the Gulf of Mexico |
Type |
$loc['typeJournal Article'] |
Year |
2002 |
Publication |
Atmosfera |
Abbreviated Journal |
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Volume |
15 |
Issue |
2 |
Pages |
81-104 |
Keywords |
Gulf of Mexico; heat fluxes; numerical model; sea surface temperature; seasonal variability |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
498 |
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Author |
Zuromski, L. |
Title |
Investigating Relationships Between Rising Temperatures and Heavy Rainfall Events in the Southeastern U.S. Using Analog Methods |
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$loc['typeManuscript'] |
Year |
2015 |
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Keywords |
precipitation; temperature |
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Department of Earth, Ocean, and Atmospheric Science |
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Thesis |
$loc['Bachelor's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
117 |
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Author |
McNaught, C. |
Title |
The Increasing Intensity and Frequency of ENSO and its Impacts to the Southeast U.S. |
Type |
$loc['typeManuscript'] |
Year |
2014 |
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Keywords |
ENSO; El-Nino; climate; meteorology; southeast climate; weather; time series; sea-surface temperatures; La-Nina |
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Address |
Department of Earth, Ocean and Atmospheric Science |
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Thesis |
$loc['Bachelor's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
165 |
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Author |
Selman, C. M. |
Title |
Simulating the Impacts and Sensitivity of the Southeastern United States Climatology to Irrigation |
Type |
$loc['typeManuscript'] |
Year |
2015 |
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Keywords |
climate; irrigation; precipitation; regional model; temperature |
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Department of Earth, Ocean, and Atmospheric Science |
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$loc['Ph.D. thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
111 |
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Author |
Glazer, R. H. |
Title |
The Influence of Mesoscale Sea Surface Temperature Gradients on Tropical Cyclones |
Type |
$loc['typeManuscript'] |
Year |
2014 |
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Keywords |
Air-Sea Interaction; Numerical Modeling; Sea Surface Temperature; Tropical Cyclones; Tropical Meteorology |
Abstract |
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Address |
Department of Earth, Ocean, and Atmospheric Science |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
161 |
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Author |
Hughes, P. J. |
Title |
The Influence of Small-Scale Sea Surface Temperature Gradients on Surface Vector Winds and Subsequent Impacts on Oceanic Ekman Pumping |
Type |
$loc['typeManuscript'] |
Year |
2014 |
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Keywords |
Air-Sea Interaction; Sea Surface Temperature Gradients; SST-wind relationship; Surface Vector Winds |
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Department of Earth, Ocean and Atmospheric Science |
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Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
162 |
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Author |
Smith, R. A. |
Title |
Trends in Maximum and Minimum Temperature Deciles in Select Regions of the United States |
Type |
$loc['typeManuscript'] |
Year |
2007 |
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Keywords |
Long term temperature trends, Climate change, Statistical analysis, Climatology |
Abstract |
Daily maximum and minimum temperature data from 758 COOP stations in nineteen states are used to create temperature decile maps. All stations used contain records from 1948 through 2004 and could not be missing more than 5 consecutive years of data. Missing data are replaced using a multiple linear regression technique from surrounding stations. For each station, the maximum and minimum temperatures are first sorted in ascending order for every two years (to reduce annual variability) and divided into ten equal parts (or deciles). The first decile represents the coldest temperatures, and the last decile contains the warmest temperatures. Patterns and trends in these deciles can be examined for the 57-year period. A linear least-squares regression method is used to calculate best-fit lines for each decile to determine the long-term trends at each station. Significant warming or cooling is determined using the Student's t-test, and bootstrapping the decile data will further examine the validity of significance. Two stations are closely examined. Apalachicola, Florida shows significant warming in its maximum deciles and significant cooling in its minimum deciles. The maximum deciles seem to be affected by some localized change. The minimum deciles are discontinuous, and the trends are a result of a minor station move. Columbus, Georgia has experienced significant warming in its minimum deciles, and this appears to be the result of an urban heat-island effect. The discontinuities seen in the Apalachicola case study illustrate the need for a quality control method. This method will eliminate stations from the regional analysis that experience large changes in the ten-year standard deviations within their time series. The regional analysis shows that most of the region is dominated by significant cooling in the maximum deciles and significant warming in the minimum deciles, with more variability in the lower deciles. Field significance testing is performed on subregions (based on USGS 2000 land cover data) and supports the findings from the regional analysis; it also isolates regions, such as the Florida peninsula and the Maryland/Delaware region, that appear to be affected by more local forcings. |
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'] |
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COAPS @ mfield @ |
Serial |
612 |
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Author |
Weihs, R |
Title |
Surface and Atmospheric Boundary Layer Responses to Diurnal Variations of Sea Surface Temperature in an NWP Model |
Type |
$loc['typeManuscript'] |
Year |
2016 |
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Abbreviated Journal |
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Issue |
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Keywords |
Marine Boundary Layer; Numerical Weather Prediction; Sea Surface Temperature |
Abstract |
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Department of Earth, Ocean, and Atmospheric Science |
Corporate Author |
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Thesis |
$loc['Ph.D. thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
339 |
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