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Author Selman, C.; Misra, V.
Title The impact of an extreme case of irrigation on the southeastern United States climate Type $loc['typeJournal Article']
Year 2017 Publication Climate Dynamics Abbreviated Journal Clim Dyn
Volume 48 Issue 3-4 Pages 1309-1327
Keywords Regional climate modeling; Irrigation; Diurnal climatology; Diurnal; Southeast United States; Southeast US; Regional model; Agriculture; Anthropogenic influences; Anthropogenic; Climate; Climate change; Regional; Impact; Southeast; Model; Parametrization
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 0930-7575 ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 22
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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 Publication Abbreviated Journal
Volume Issue Pages
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
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 612
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Author Smith, S.R.; Lopez, N.; Bourassa, M.A.
Title SAMOS air-sea fluxes: 2005-2014 Type $loc['typeJournal Article']
Year 2016 Publication Geoscience Data Journal Abbreviated Journal Geosci. Data J.
Volume 3 Issue 1 Pages 9-19
Keywords air-sea flux; marine meteorology; marine climatology; heat flux; wind stress
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 2049-6060 ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 52
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Author Wei, J.; Dirmeyer, P.A.; Guo, Z.; Zhang, L.; Misra, V.
Title How Much Do Different Land Models Matter for Climate Simulation? Part I: Climatology and Variability Type $loc['typeJournal Article']
Year 2010 Publication Journal of Climate Abbreviated Journal J. Climate
Volume 23 Issue 11 Pages 3120-3134
Keywords Land surface model; Climatology; Surface fluxes; Climate variability; Model comparison; Precipitation
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 0894-8755 ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 370
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