| Home | << 1 2 3 4 5 6 7 >> |
|
| Records | |||||
|---|---|---|---|---|---|
| Author | Brolley, J. M. | ||||
| Title | Effects of ENSO, NAO (PVO), and PDO on Monthly Extreme Temperatures and Precipitation | Type | $loc['typeManuscript'] | ||
| Year | 2007 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | NAO, PDO, ENSO, Climate Variability, Extremes, Stochastic | ||||
| Abstract | The El Nino-Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO), the Pacific Decadal Oscillation (PDO), and the Polar Vortex Oscillation (PVO) produce conditions favorable for monthly extreme temperatures and precipitation. These climate modes produce upper-level teleconnection patterns that favor regional droughts, floods, heat waves, and cold spells, and these extremes impact agriculture, energy, forestry, and transportation. The above sectors prefer the knowledge of the worst (and sometimes the best) case scenarios. This study examines the extreme scenarios for each phase and the combination of phases that produce the greatest monthly extremes. Data from Canada, Mexico, and the United States are gathered from the Historical Climatology Network (HCN). Monthly data are simulated by the utilization of a Monte Carlo model. This Monte Carlo method simulates monthly data by the stochastic selection of daily data with identical ENSO, PDO, and PVO (NAO) characteristics. In order to test the quality of the Monte Carlo simulation, the simulations are compared with the observations using only PDO and PVO. It has been found that temperatures and precipitation in the simulation are similar to the model. Statistics tests have favored similarities between simulations and observations in most cases. Daily data are selected in blocks of four to eight days in order to conserve temporal correlation. Because the polar vortex occurs only during the cold season, the PVO is used during January, and the NAO is used during other months. The simulated data are arranged, and the tenth and ninetieth percentiles are analyzed. The magnitudes of temperature and precipitation anomalies are the greatest in the western Canada and the southeastern United States during winter, and these anomalies are located near the Pacific North American (PNA) extrema. Western Canada has its coldest (warmest) Januaries when the PDO and PVO are low (high). The southeastern United States has its coldest Januaries with high PDO and low PVO and warmest Januaries with low PDO and high PVO. Although extremes occur during El Nino or La Nina, many stations have the highest or lowest temperatures during neutral ENSO. In California and the Gulf Coast, the driest (wettest) Januaries tend to occur during low (high) PDO, and the reverse occurs in Tennessee, Kentucky, Ohio, and Indiana. Summertime anomalies, on the other hand, are weak because temperature variance is low. Phase combinations that form the wettest (driest) Julies form spatially incoherent patterns. The magnitudes of the temperature and precipitation anomalies and the corresponding phase combinations vary regionally and seasonally. Composite maps of geopotential heights across North America are plot for low, median, and high temperatures at six selected sites and for low, median, and high precipitation at the same sites. The greatest fluctuations occur near the six sites and over some of the loci of the PNA pattern. Geopotential heights tend to decrease (increase) over the target stations during the cold (warm) cases, and the results for precipitation are variable. | ||||
| 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 | 587 | ||
| Permanent link to this record | |||||
| Author | Goto, Y. | ||||
| Title | Improved Vegetation Characterization and Freeze Statistics in a Regional Spectral Model for the Florida Citrus Farming Region | Type | $loc['typeManuscript'] | ||
| Year | 2008 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Ensemble Forecast, Climate Model | ||||
| Abstract | This study focused on the effective use of a numerical climate model for agriculture in Florida, especially in the citrus farming region of the Florida peninsula, because of the impact of agriculture to Florida's economy. For the analyses of the ensemble, the climate models used in this study were the FSU/COAPS Global Spectral Model and FSU/COAPS Regional Spectral Model (FSU/COAPS RSM) coupled with a land-surface model. The multi-convective scheme method and variable initial conditions were used for the ensembles. Severe freezes impacting agriculture in Florida were associated with some major climate patterns, such as El Niño and Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO). In the first part of this study, seasonal ensemble integrations of the regional model were examined for the tendencies of freezes in the Florida peninsula during each ENSO or NAO phase is examined. Mean excess values of minimum temperatures from thresholds on the basis of the Generalized Pareto Distribution (GPD), which represents the extreme data in a dataset, were used to analyze the freezes in the regional model. According to some previous studies, El Niño winters obtain fewer freezes than the other ENSO phases. Although the ensemble comprised only 19 winters, the ensemble found variability patterns in minimum temperatures in each climate phase similar to the findings in the previous studies which were based on the observed data. The FSU/COAPS RSM was coupled with Community Land Model 2.0 (CLM2), to represent the land-surface conditions. Although the coupling improved the temperature forecast of the RSM, it still has a cold bias and simulates smaller diurnal temperature changes than actually occur in southern Florida. Among the prescribed surface data, Leaf Area Index (LAI) for southern Florida in the CLM2 is lower than those observed by MODIS (Moderate Resolution Imaging Spectroradiometer). In the first experiment of this part, the sensitivity of the temperature forecast to the LAI in the climate models was investigated, by modifying the LAI data in the CLM2 based on the monthly MODIS observations. In the second experiment, newly created prescribed datasets of LAI and plant functional types for the CLM2 based on the MODIS observations were applied to the RSM. The substitution increased the diurnal temperature change in southern Florida slightly but almost consistently. | ||||
| 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 | 586 | ||
| Permanent link to this record | |||||
| Author | Frumkin, A | ||||
| Title | Predictability of Dry Season Reforecasts over the Tropical South American Region | Type | $loc['typeManuscript'] | ||
| Year | 2011 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | RSM; CFS; Anomaly Nesting; Climate Model | ||||
| Abstract | |||||
| Address | Department of Earth Ocean and Atmospheric Sciences | ||||
| Corporate Author | Thesis | $loc['Master's 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 | 333 | ||
| Permanent link to this record | |||||
| Author | Seitz, C. | ||||
| Title | Estimating the Effects of Climate Change on Tropical Cyclone Activity | Type | $loc['typeManuscript'] | ||
| Year | 2014 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Climate Change, Tropical Cyclone | ||||
| Abstract | |||||
| Address | Department of Earth, Ocean, and Atmospheric Scienc | ||||
| Corporate Author | Thesis | $loc['Master's 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 | 168 | ||
| Permanent link to this record | |||||
| Author | Selman, C. M. | ||||
| Title | Simulating the Impacts and Sensitivity of the Southeastern United States Climatology to Irrigation | Type | $loc['typeManuscript'] | ||
| Year | 2015 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | climate; irrigation; precipitation; regional model; temperature | ||||
| Abstract | |||||
| Address | Department of Earth, Ocean, and Atmospheric Science | ||||
| 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 | 111 | ||
| Permanent link to this record | |||||
| Author | McNaught, C. | ||||
| Title | The Increasing Intensity and Frequency of ENSO and its Impacts to the Southeast U.S. | Type | $loc['typeManuscript'] | ||
| Year | 2014 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | ENSO; El-Nino; climate; meteorology; southeast climate; weather; time series; sea-surface temperatures; La-Nina | ||||
| Abstract | |||||
| Address | Department of Earth, Ocean and Atmospheric Science | ||||
| Corporate Author | Thesis | $loc['Bachelor's 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 | 165 | ||
| Permanent link to this record | |||||
| Author | Baigorria, G.; Jones, J.; Shin, D.; Mishra, A.; Ingram, K. T., Jones, J. W., O'Brien, J. J., Roncoli, M. C., Fraisse, C., Breuer, N. E., Bartels, W.-L., Zierden, D. F., Letson, D. | ||||
| Title | Assessing uncertainties in crop model simulations using daily bias-corrected Regional Circulation Model outputs | Type | $loc['typeJournal Article'] | ||
| Year | 2007 | Publication | Climate Research | Abbreviated Journal | Clim. Res. |
| Volume | 34 | Issue | Pages | 211-222 | |
| Keywords | crop yield forecasts; regional circulation models; crop models; bias correction; seasonal climate forecasts | ||||
| 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 | 0936-577X | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 421 | ||
| Permanent link to this record | |||||
| Author | Proshutinsky, A.; Dukhovskoy, D.; Timmermans, M.-L.; Krishfield, R.; Bamber, J.L. | ||||
| Title | Arctic circulation regimes | Type | $loc['typeJournal Article'] | ||
| Year | 2015 | Publication | Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences | Abbreviated Journal | Philos Trans A Math Phys Eng Sci |
| Volume | 373 | Issue | 2052 | Pages | |
| Keywords | arctic climate variability; circulation regimes; freshwater and heat content | ||||
| Abstract | Between 1948 and 1996, mean annual environmental parameters in the Arctic experienced a well-pronounced decadal variability with two basic circulation patterns: cyclonic and anticyclonic alternating at 5 to 7 year intervals. During cyclonic regimes, low sea-level atmospheric pressure (SLP) dominated over the Arctic Ocean driving sea ice and the upper ocean counterclockwise; the Arctic atmosphere was relatively warm and humid, and freshwater flux from the Arctic Ocean towards the subarctic seas was intensified. By contrast, during anticylonic circulation regimes, high SLP dominated driving sea ice and the upper ocean clockwise. Meanwhile, the atmosphere was cold and dry and the freshwater flux from the Arctic to the subarctic seas was reduced. Since 1997, however, the Arctic system has been under the influence of an anticyclonic circulation regime (17 years) with a set of environmental parameters that are atypical for this regime. We discuss a hypothesis explaining the causes and mechanisms regulating the intensity and duration of Arctic circulation regimes, and speculate how changes in freshwater fluxes from the Arctic Ocean and Greenland impact environmental conditions and interrupt their decadal variability. | ||||
| Address | School of Geographical Sciences, University of Bristol, Bristol, UK | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1364-503X | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | PMID:26347536; PMCID:PMC4607701 | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 109 | ||
| Permanent link to this record | |||||
| Author | Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. | ||||
| Title | Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health | Type | $loc['typeJournal Article'] | ||
| Year | 2016 | Publication | International Journal of Environmental Research and Public Health | Abbreviated Journal | Int J Environ Res Public Health |
| Volume | 13 | Issue | 8 | Pages | |
| Keywords | *Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health | ||||
| Abstract | There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida. | ||||
| Address | Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA. konrad@unc.edu | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1660-4601 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | PMID:27517942; PMCID:PMC4997490 | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 73 | ||
| Permanent link to this record | |||||
| 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 | Abbreviated Journal | |
| Volume | Issue | Pages | 511-532 | ||
| Keywords | Multi-model ensembles; Regional climate prediction; Dynamical downscaling; Statistical downscaling | ||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Florida Climate Institute | Place of Publication | Gainesville, FL | Editor | Chassignet, E. P.; Jones, J. W.; Misra, V.; Obeysekera, J. |
| 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 | 850 | ||
| Permanent link to this record | |||||
2000 Levy Avenue
Building A, Suite 292
Tallahassee, FL 32306-2741
Phone: (850) 644-4581
Fax: (850) 644-4841
contact@coaps.fsu.edu
