Climate Adaptations in the Southeast USA

Author(s):  
Ashley Brosius ◽  
Ernesto Diaz ◽  
Rick Durbrow ◽  
Rhonda Evans ◽  
Stephanie Fauver ◽  
...  
Keyword(s):  
2009 ◽  
Vol 9 (3) ◽  
pp. 13569-13592 ◽  
Author(s):  
M. Penning de Vries ◽  
S. Beirle ◽  
T. Wagner

Abstract. The Absorbing Aerosol Index (AAI) is a useful tool for detecting aerosols that absorb UV radiation – especially in cases where other aerosol retrievals fail, such as over bright surfaces (e.g. desert) and in the presence of clouds. The AAI does not, however, consider contributions from "scattering" (hardly absorbing) aerosols and clouds: they cause negative AAI values and are usually discarded. In this paper, we demonstrate the use of the AAI's negative counterpart, the SCattering Index (SCI) to detect "scattering" aerosols. Maps of seasonally averaged SCI show significantly enhanced values in summer in Southeast USA and Southeast Asia, pointing to high production of "scattering" aerosols (presumably mainly sulphate aerosols and organic aerosols) in this season. The application of a cloud filter makes the presence of "scattering" aerosols even more clear. In a comparison of AOT from AERONET and our Aerosol Indices from SCIAMACHY, good agreement was found for two AERONET stations in Southeast USA, and two stations in Africa. This fact confirms the suitability of SCI as a tool to detect "scattering" aerosols. The combination of the UV Aerosol Indices AAI and SCI provides the unique possibility to characterise absorbing properties of aerosols from space. Accurate knowledge about aerosol absorption is crucial for the correct determination of the contribution of aerosols to the radiative budget.


2019 ◽  
Vol 51 (Supplement) ◽  
pp. 727
Author(s):  
Eugene C. Fitzhugh ◽  
Jerry Everett ◽  
Linda Daugherty

2018 ◽  
Vol 22 (3) ◽  
pp. 383-390 ◽  
Author(s):  
Ruth Wooten ◽  
Marsha Spence ◽  
Sarah Colby ◽  
Elizabeth Anderson Steeves

AbstractObjectiveTo assess rates of food insecurity (FI) among college students enrolled at a large public university system across one US state and identify factors associated with experiencing FI.DesignCross-sectional online survey administered to eligible, enrolled students (n 38 614) across three campuses within the university system, with 5593 students responding (4824 final sample after applying exclusion criteria, 12·5 % response rate). FI was assessed using the US Department of Agriculture’s Adult Food Security Survey Module. Descriptive statistics were conducted to calculate FI status and identify sample characteristics. Associations between FI status and independent variables were assessed using bivariate analyses (χ2 and ANOVA tests) and multivariate logistic regression.SettingLarge public university system, Southeast USA.ParticipantsEnrolled college students (excluding freshman, <18 years of age).ResultsThirty-six per cent of students were classified as FI. After controlling for confounders, factors that were significantly associated with increased likelihood of FI included previous FI (P<0·001; OR=4·78), financial factors and self-reported grade point average ≤3·85. Seniors were significantly more likely experience FI than graduate students (P=0·004, OR=1·41). A significant relationship was not identified between FI and meal plan participation, and no differences in FI were found between graduate students and individuals with sophomore or junior standing.ConclusionsThis research identifies high rates of FI among college students enrolled in a large public university system in the Southeast USA, as well as selected factors related to FI. Programmes to assist college students experiencing FI need to be developed and tested.


2019 ◽  
Vol 11 (5) ◽  
pp. 672-689 ◽  
Author(s):  
Carlos A. Ruiz‐Perez ◽  
Despina Tsementzi ◽  
Janet K. Hatt ◽  
Matthew B. Sullivan ◽  
Konstantinos T. Konstantinidis

2008 ◽  
Vol 56 (3) ◽  
pp. 402-413 ◽  
Author(s):  
Laurie J. Bauer ◽  
Matthew S. Kendall ◽  
Christopher F.G. Jeffrey
Keyword(s):  

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