Records |
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 |
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Volume |
|
Issue |
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Pages |
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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 |
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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 |
586 |
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Author |
Frumkin, A |
Title |
Predictability of Dry Season Reforecasts over the Tropical South American Region |
Type |
$loc['typeManuscript'] |
Year |
2011 |
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 |
RSM; CFS; Anomaly Nesting; Climate Model |
Abstract |
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Address |
Department of Earth Ocean and Atmospheric Sciences |
Corporate Author |
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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 |
333 |
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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 |
Publication |
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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'] |
Call Number |
COAPS @ mfield @ |
Serial |
161 |
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Author |
Ahern, K. K. |
Title |
Analysis of Polar Mesocyclonic Surface Turbulent Fluxes in the Arctic System Reanalysis (ASRv1) Dataset |
Type |
$loc['typeManuscript'] |
Year |
2015 |
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Pages |
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Keywords |
arctic; cyclone; low; model; polar; reanalysis |
Abstract |
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Address |
Department of Earth, Ocean, and Atmospheric Science |
Corporate Author |
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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 |
93 |
Permanent link to this record |
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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 |
Publication |
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Abbreviated Journal |
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Issue |
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Pages |
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Keywords |
climate; irrigation; precipitation; regional model; temperature |
Abstract |
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Address |
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 |
111 |
Permanent link to this record |
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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 |
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Pages |
211-222 |
Keywords |
crop yield forecasts; regional circulation models; crop models; bias correction; seasonal climate forecasts |
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Series Editor |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0936-577X |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
421 |
Permanent link to this record |
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Author |
Zeng, H.; Chambers, J.Q.; Negron-Juarez, R.I.; Hurtt, G.C.; Baker, D.B.; Powell, M.D. |
Title |
Impacts of tropical cyclones on U.S. forest tree mortality and carbon flux from 1851 to 2000 |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Proceedings of the National Academy of Sciences of the United States of America |
Abbreviated Journal |
Proc Natl Acad Sci U S A |
Volume |
106 |
Issue |
19 |
Pages |
7888-7892 |
Keywords |
Biodiversity; Biomass; Carbon; *Cyclonic Storms; Ecosystem; Greenhouse Effect; Models, Statistical; Southeastern United States; *Trees; United States |
Abstract |
Tropical cyclones cause extensive tree mortality and damage to forested ecosystems. A number of patterns in tropical cyclone frequency and intensity have been identified. There exist, however, few studies on the dynamic impacts of historical tropical cyclones at a continental scale. Here, we synthesized field measurements, satellite image analyses, and empirical models to evaluate forest and carbon cycle impacts for historical tropical cyclones from 1851 to 2000 over the continental U.S. Results demonstrated an average of 97 million trees affected each year over the entire United States, with a 53-Tg annual biomass loss, and an average carbon release of 25 Tg y(-1). Over the period 1980-1990, released CO(2) potentially offset the carbon sink in forest trees by 9-18% over the entire United States. U.S. forests also experienced twice the impact before 1900 than after 1900 because of more active tropical cyclones and a larger extent of forested areas. Forest impacts were primarily located in Gulf Coast areas, particularly southern Texas and Louisiana and south Florida, while significant impacts also occurred in eastern North Carolina. Results serve as an important baseline for evaluating how potential future changes in hurricane frequency and intensity will impact forest tree mortality and carbon balance. |
Address |
Department of Ecology and Evolutionary Biology, Tulane University, 400 Boggs Center, New Orleans, LA 70118, USA. hzeng@tulane.edu |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Edition |
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ISSN |
0027-8424 |
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Funding |
PMID:19416842; PMCID:PMC2683102 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
658 |
Permanent link to this record |
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Author |
Harris, R.; Pollman, C.; Hutchinson, D.; Landing, W.; Axelrad, D.; Morey, S.L.; Dukhovskoy, D.; Vijayaraghavan, K. |
Title |
A screening model analysis of mercury sources, fate and bioaccumulation in the Gulf of Mexico |
Type |
$loc['typeJournal Article'] |
Year |
2012 |
Publication |
Environmental Research |
Abbreviated Journal |
Environ Res |
Volume |
119 |
Issue |
|
Pages |
53-63 |
Keywords |
Animals; Calibration; Environmental Exposure; Fishes/metabolism; Humans; Mercury/*chemistry/metabolism; *Models, Theoretical; Seawater/*chemistry; Water Pollutants, Chemical/*chemistry/metabolism |
Abstract |
A mass balance model of mercury (Hg) cycling and bioaccumulation was applied to the Gulf of Mexico (Gulf), coupled with outputs from hydrodynamic and atmospheric Hg deposition models. The dominant overall source of Hg to the Gulf is the Atlantic Ocean. Gulf waters do not mix fully however, resulting in predicted spatial differences in the relative importance of external Hg sources to Hg levels in water, sediments and biota. Direct atmospheric Hg deposition, riverine inputs, and Atlantic inputs were each predicted to be the most important source of Hg to at least one of the modeled regions in the Gulf. While incomplete, mixing of Gulf waters is predicted to be sufficient that fish Hg levels in any given location are affected by Hg entering other regions of the Gulf. This suggests that a Gulf-wide approach is warranted to reduce Hg loading and elevated Hg concentrations currently observed in some fish species. Basic data to characterize Hg concentrations and cycling in the Gulf are lacking but needed to adequately understand the relationship between Hg sources and fish Hg concentrations. |
Address |
Reed Harris Environmental Ltd., 180 Forestwood Drive, Oakville, Ontario L6J4E6, Canada. reed@reed-harris.com |
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English |
Summary Language |
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Series Editor |
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Edition |
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ISSN |
0013-9351 |
ISBN |
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Funding |
PMID:23102631 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
234 |
Permanent link to this record |
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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 |
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English |
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ISSN |
1660-4601 |
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Funding |
PMID:27517942; PMCID:PMC4997490 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
73 |
Permanent link to this record |
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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 |
Permanent link to this record |