| Records |
| Author |
Cintra, R.; Campos Velho, H.; Cocke, S. |
| Title |
Multilayer Perceptron on data assimilation system applied to FSU global model |
Type |
$loc['typeConference Article'] |
| Year |
2016 |
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| Keywords |
data assimilation; artificial neural networks; numerical weather prediction; inverse problem |
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3rd International Symposium on Uncertainty Quantification and Stochastic Modeling Maresias, Brazil: 15/2/2016 to 19/2/2016 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
88 |
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| Author |
Kirtman, B. P.; Misra, V.; Anandhi, A.; Palko, D.; Infanti, J. |
| Title |
Future Climate Change Scenarios for Florida |
Type |
$loc['typeBook Chapter'] |
| Year |
2017 |
Publication |
Florida's climate: Changes, variations, & impacts |
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Issue |
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Pages |
533-555 |
| Keywords |
Anthropogenically forced climate change; Decadal climate prediction; Climate projection; Climate scenario; Mitigation; Adaptation |
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Florida Climate Institute |
Place of Publication |
Gainesville, FL |
Editor |
Chassignet, E. P.; Jones, J. W.; Misra, V.; Obeysekera, J. |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
851 |
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| Author |
Kirtman, B. P.; Misra, V.; Burgman, R. J.; Infanti, J.; Obeysekera, J. |
| Title |
Florida Climate Variability and Prediction |
Type |
$loc['typeBook Chapter'] |
| Year |
2017 |
Publication |
Florida's climate: Changes, variations, & impacts |
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Pages |
511-532 |
| Keywords |
Multi-model ensembles; Regional climate prediction; Dynamical downscaling; Statistical downscaling |
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| Publisher |
Florida Climate Institute |
Place of Publication |
Gainesville, FL |
Editor |
Chassignet, E. P.; Jones, J. W.; Misra, V.; Obeysekera, J. |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
850 |
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| Author |
Engelman, M. B. |
| Title |
A Validation of the FSU/COAPS Climate Model |
Type |
$loc['typeManuscript'] |
| Year |
2008 |
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| Keywords |
Crop Models, Skill Scores, Seasonal Prediction, Extreme Events |
| Abstract |
This study examines the predictability of the Florida State University/Center for Oceanic and Atmospheric Prediction Studies (FSU/COAPS) climate model, and is motivated by the model's potential use in crop modeling. The study also compares real-time ensemble runs (created using persisted SST anomalies) to hindcast ensemble runs (created using weekly updated SST) to asses the effect of SST anomalies on forecast error. Wintertime (DJF, 2 month lead time) surface temperature and precipitation forecasts over the southeastern United States (Georgia, Alabama, and Florida) are evaluated because of the documented links between tropical Pacific SST anomalies and climate in the southeastern United States during the winter season. The global spectral model (GSM) runs at a T63 resolution and then is dynamically downscaled to a 20 x 20 km grid over the southeastern United States using the FSU regional spectral model (RSM). Seasonal, monthly, and daily events from the October 2004 and 2005 model runs are assessed. Seasonal (DJF) plots of real-time forecasts indicate the model is capable of predicting wintertime maximum and minimum temperatures over the southeastern United States. The October 2004 and 2005 real-time model runs both produce temperature forecasts with anomaly errors below 3°C, correlations close to one, and standard deviations similar to observations. Real-time precipitation forecasts are inconsistent. Error in the percent of normal precipitation vary from greater than 100% in the 2004/2005 forecasts to less than 35% error in the 2005/2006 forecasts. Comparing hindcast runs to real-time runs reveals some skill is lost in precipitation forecasts when using a method of SST anomaly persistence if the SST anomalies in the equatorial Pacific change early in the forecast period, as they did for the October 2004 model runs. Further analysis involving monthly and daily model data as well as Brier scores (BS), relative operating characteristics (ROC), and equitable threat scores (ETS), are also examined to confirm these results. |
| 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 |
607 |
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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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Marine Boundary Layer; Numerical Weather Prediction; Sea Surface Temperature |
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Department of Earth, Ocean, and Atmospheric Science |
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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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| 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. |
| 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 |
$loc['typeJournal Article'] |
| Year |
2011 |
Publication |
Ocean Modelling |
Abbreviated Journal |
Ocean Modelling |
| Volume |
37 |
Issue |
3-4 |
Pages |
85-111 |
| Keywords |
Data assimilation; Ocean modeling; Ocean prediction; Twin experiments; Sequential assimilation; MVOI; EnOI; SEEK; ROIF; EnROIF |
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1463-5003 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
320 |
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| Author |
Goff, J.A.; Arbic, B.K. |
| Title |
Global prediction of abyssal hill roughness statistics for use in ocean models from digital maps of paleo-spreading rate, paleo-ridge orientation, and sediment thickness |
Type |
$loc['typeJournal Article'] |
| Year |
2010 |
Publication |
Ocean Modelling |
Abbreviated Journal |
Ocean Modelling |
| Volume |
32 |
Issue |
1-2 |
Pages |
36-43 |
| Keywords |
Abyssal hills; Roughness; Prediction; Ocean modeling |
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1463-5003 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
345 |
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| Author |
Smedstad, O.M.; Hurlburt, H.E.; Metzger, E.J.; Rhodes, R.C.; Shriver, J.F.; Wallcraft, A.J.; Kara, A.B. |
| Title |
An operational Eddy resolving 1/16° global ocean nowcast/forecast system |
Type |
$loc['typeJournal Article'] |
| Year |
2003 |
Publication |
Journal of Marine Systems |
Abbreviated Journal |
Journal of Marine Systems |
| Volume |
40-41 |
Issue |
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Pages |
341-361 |
| Keywords |
global ocean prediction; prediction of mesoscale variability; data assimilation; ocean forecast verification |
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0924-7963 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
481 |
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Jagtap, S.S.; Jones, J.W.; Hildebrand, P.; Letson, D.; O'Brien, J.J.; Podestá, G.; Zierden, D.; Zazueta, F. |
| Title |
Responding to stakeholder's demands for climate information: from research to applications in Florida |
Type |
$loc['typeJournal Article'] |
| Year |
2002 |
Publication |
Agricultural Systems |
Abbreviated Journal |
Agricultural Systems |
| Volume |
74 |
Issue |
3 |
Pages |
415-430 |
| Keywords |
ENSO; El Niño; Climate prediction; Agricultural decisions; Research framework |
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0308521X |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
824 |
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| Author |
Kelly, D.L.; Letson, D.; Nelson, F.; Nolan, D.S.; Solís, D. |
| Title |
Evolution of subjective hurricane risk perceptions: A Bayesian approach |
Type |
$loc['typeJournal Article'] |
| Year |
2012 |
Publication |
Journal of Economic Behavior & Organization |
Abbreviated Journal |
Journal of Economic Behavior & Organization |
| Volume |
81 |
Issue |
2 |
Pages |
644-663 |
| Keywords |
Risk perceptions; Correlated information; Bayesian learning; Event markets; Prediction markets; Favorite-longshot bias; Hurricanes |
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0167-2681 |
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$loc['no'] |
| Call Number |
COAPS @ mfield @ |
Serial |
329 |
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