Severe Convective Wind Environments

Nontornadic thunderstorm winds from long-lived, widespread convective windstorms can have a tremendous impact on human lives and property. To examine environments that support damaging wind producing convection, sounding parameters from Rapid Update Cycle model analyses (at 3-hourly intervals) from 2003 were compared with 7055 reports of damaging winds and 377 081 occurrences of lightning. Ground- relative wind velocity was the most effective at discriminating between damaging and nondamaging wind convective environments. Steep surface-based lapse rates (a traditional damaging wind parameter) gener- ally did not discriminate between damaging and nondamaging wind convective environments. Other pa- rameters, such as convective available potential energy, humidity aloft, and lapse rates aloft were moder- ately discriminating. This paper presents a composite damaging wind algorithm in which the two most discriminatory parameters were combined, yielding more skill than any individual parameter. Damaging wind environments are then examined further through a selection of cases that highlight common severe wind ingredients and failure modes. A primary result is that, even in seemingly favorable environments, when the winds at the top of the inflow layer were either parallel to the convective line or blowing from warm to cold over a front, damaging winds were less likely. In the former case, it appears that the downdraft winds and the cold pool’s gust-front-normal flow are not additive. In the latter case, it appears that convection becomes elevated and does not produce downdrafts that reach the surface. Combining the most discriminatory severe wind parameters with knowledge of these severe wind failure modes may help to improve the situational awareness of forecasters

Improving Outpatient Pneumococcal Vaccination Rates in Patients age \u3c65

Objectives To increase pneumococcal vaccination rates for patients 19-64 at JHAP to reach 70% over 3 months. To increase resident knowledge of indications for pneumococcal vaccination in patients 19-64 by 25% over 3 month

Data Assimilation Enhancements to Air Force Weathers Land Information System

The United States Air Force (USAF) has a proud and storied tradition of enabling significant advancements in the area of characterizing and modeling land state information. 557th Weather Wing (557 WW; DoDs Executive Agent for Land Information) provides routine geospatial intelligence information to warfighters, planners, and decision makers at all echelons and services of the U.S. military, government and intelligence community. 557 WW and its predecessors have been home to the DoDs only operational regional and global land data analysis systems since January 1958. As a trusted partner since 2005, Air Force Weather (AFW) has relied on the Hydrological Sciences Laboratory at NASA/GSFC to lead the interagency scientific collaboration known as the Land Information System (LIS). LIS is an advanced software framework for high performance land surface modeling and data assimilation of geospatial intelligence (GEOINT) information

Severe Convective Wind Environments

Nontornadic thunderstorm winds from long-lived, widespread convective windstorms can have a tremendous impact on human lives and property. To examine environments that support damaging wind producing convection, sounding parameters from Rapid Update Cycle model analyses (at 3-hourly intervals) from 2003 were compared with 7055 reports of damaging winds and 377 081 occurrences of lightning. Ground- relative wind velocity was the most effective at discriminating between damaging and nondamaging wind convective environments. Steep surface-based lapse rates (a traditional damaging wind parameter) gener- ally did not discriminate between damaging and nondamaging wind convective environments. Other pa- rameters, such as convective available potential energy, humidity aloft, and lapse rates aloft were moder- ately discriminating. This paper presents a composite damaging wind algorithm in which the two most discriminatory parameters were combined, yielding more skill than any individual parameter. Damaging wind environments are then examined further through a selection of cases that highlight common severe wind ingredients and failure modes. A primary result is that, even in seemingly favorable environments, when the winds at the top of the inflow layer were either parallel to the convective line or blowing from warm to cold over a front, damaging winds were less likely. In the former case, it appears that the downdraft winds and the cold pool’s gust-front-normal flow are not additive. In the latter case, it appears that convection becomes elevated and does not produce downdrafts that reach the surface. Combining the most discriminatory severe wind parameters with knowledge of these severe wind failure modes may help to improve the situational awareness of forecasters

A Review of Operational Ensemble Forecasting Efforts in the United States Air Force

United States Air Force (USAF) operations are greatly influenced and impacted by environmental conditions. Since 2004, USAF has researched, developed, operationalized, and refined numerical weather prediction ensembles to provide improved environmental information for mission success and safety. This article reviews how and why USAF capabilities evolved in the context of USAF requirements and limitations. The convergence of time-lagged convection-allowing ensembles with inline diagnostics, algorithms to estimate the sub-grid scale uncertainty of critical forecasting variables, and the distillation of large quantities of ensemble information into decision-relevant products has led to the acceptance of probabilistic environmental forecast information and widespread reliance on ensembles in USAF operations worldwide

See No Evil, Hear No Evil, Speak No Evil: How Collegiate Players Define, Experience and Cope with Toxicity

Toxicity in online environments is a complex and a systemic issue. Collegiate esports communities seem to be particularly vulnerable to toxic behaviors. In esports games, negative behavior, such as harassment, can create barriers to players achieving high performance and can reduce enjoyment which may cause them to leave the game. The aim of this study is to investigate how players define, experience and deal with toxicity in esports games that they play. Our findings from an interview study and five monthly follow ups with 19 participants from a university esports club show that players define toxicity as behaviors disrupt their morale and team dynamics, and are inclined to normalize negative behaviors, rationalize it as part of the competitive game culture akin to traditional sports, and participate a form of gamer classism, believing that toxicity is more common in lower level play than in professional and collegiate esports. There are many coping mechanisms employed by collegiate esports players, including ignoring offenders, deescalating tense encounters, and using tools to mute offenders. Understanding the motivations behind collegiate esports players' engagement with toxicity may help the growing sport plot a positive trajectory towards healthy pla