A Computer Wind Model for Predicting Smoke Movement

1994 ◽  
Vol 18 (2) ◽  
pp. 60-64 ◽  
Author(s):  
Gary L. Achtemeier ◽  
James T. Paul

Abstract We are developing a numerical wind model to simulate airflow near the ground at night over terrain typical of the Piedmont of the southeastern United States. The purpose is to improve understanding of night winds and provide more accurate prediction of smoke movement when wind speed is low and wind direction is highly variable. These conditions often prevail when fog or a combination of smoke and fog produce low visibility. The model was tested with a weather event that produced local dense fog implicated as a factor in a highway accident. The model provides insight into drainage winds and valley flows and hence promises to be useful for predicting smoke movement at night. South. J. Appl. For. 18(2):60-64.

2013 ◽  
Vol 45 (3) ◽  
pp. 519-522
Author(s):  
Kelly Lange

The three articles in this invited paper session investigate challenges and opportunities for agricultural producers in the southeastern United States. Two of the articles focus on the increasing demand for locally produced food and offer insight into potential marketing opportunities that this growing demand may provide for beginning or young farmers. The third article centers on financing options that are available to beginning farmers and evaluates the use of Aggie Bonds as a financing source for beginning farmers.


2013 ◽  
Vol 45 (3) ◽  
pp. 509-518 ◽  
Author(s):  
McKenzie Maples ◽  
Kimberly L. Morgan ◽  
Matthew G. Interis ◽  
Ardian Harri

To capitalize on potential opportunities presented by growing consumer demand for locally grown foods, farmers need insight into significant motivations and behavioral characteristics of consumers in their region. This article aims to evaluate the characteristics of southeastern urban consumers who purchased food directly from producers. Novel study findings include the impact of disease incidences that occurred in respondent and related family members, a more accurate understanding of U.S. agriculture, relatively higher levels of concern about U.S. food safety, and greater physical activity levels, which are significant motivators of increased likelihood to purchase direct from producers.


2018 ◽  
Vol 18 (4) ◽  
pp. 1261-1277 ◽  
Author(s):  
Paul W. Miller ◽  
Thomas L. Mote

Abstract. Weakly forced thunderstorms (WFTs), short-lived convection forming in synoptically quiescent regimes, are a contemporary forecasting challenge. The convective environments that support severe WFTs are often similar to those that yield only non-severe WFTs and, additionally, only a small proportion of individual WFTs will ultimately produce severe weather. The purpose of this study is to better characterize the relative severe weather potential in these settings as a function of the convective environment. Thirty-one near-storm convective parameters for > 200 000 WFTs in the Southeastern United States are calculated from a high-resolution numerical forecasting model, the Rapid Refresh (RAP). For each parameter, the relative odds of WFT days with at least one severe weather event is assessed along a moving threshold. Parameters (and the values of them) that reliably separate severe-weather-supporting from non-severe WFT days are highlighted. Only two convective parameters, vertical totals (VTs) and total totals (TTs), appreciably differentiate severe-wind-supporting and severe-hail-supporting days from non-severe WFT days. When VTs exceeded values between 24.6 and 25.1 ∘C or TTs between 46.5 and 47.3 ∘C, odds of severe-wind days were roughly 5× greater. Meanwhile, odds of severe-hail days became roughly 10× greater when VTs exceeded 24.4–26.0 ∘C or TTs exceeded 46.3–49.2 ∘C. The stronger performance of VT and TT is partly attributed to the more accurate representation of these parameters in the numerical model. Under-reporting of severe weather and model error are posited to exacerbate the forecasting challenge by obscuring the subtle convective environmental differences enhancing storm severity.


Eos ◽  
2016 ◽  
Vol 97 ◽  
Author(s):  
David Shultz

A new modeling study gives insight into how tropical cyclones affected ecosystems in the southeastern United States between 2002 and 2012.


2019 ◽  
Author(s):  
Jorge Noguera

This study was conducted to determine the effectiveness of a novel mind perception manipulation. Mind perception is currently theorized to be an essential aspect of a number of human social psychological processes. Thus, a successful manipulation would allow for the causal study of those processes. This manipulation was created in an attempt to explore the downstream impact of mind perception on the endorsement of conspiracy theories. Conspiracy theories are steadily becoming more and more prominent in social discourse. Endorsement of conspiracy theories are beginning to show real world ramifications such as a danger to human health (e.g., in the anti-vaccination movement). A sample of college students (valid N = 53) from a large rural institution in the southeastern United States participated for course credit. These participants completed a mind perception pretest, were randomly assigned to either the manipulation in question (in which participants are asked to consider the ‘mind’ of several targets and write their thoughts about them) or the control condition, and then they completed a posttest. The mixed ANOVA revealed that the interaction term between Time and Condition was not significant. Because the manipulation did not work, other analyses were aborted, in accord with the pre-registration. My Discussion focuses on the procedures and potential shortcomings of this manipulation, in an effort to lay the groundwork for a successful one.


Sign in / Sign up

Export Citation Format

Share Document