Observing Convective Aggregation.

Convective self-aggregation, the spontaneous organization of initially scattered convection into isolated convective clusters despite spatially homogeneous boundary conditions and forcing, was first recognized and studied in idealized numerical simulations. While there is a rich history of observational work on convective clustering and organization, there have been only a few studies that have analyzed observations to look specifically for processes related to self-aggregation in models. Here we review observational work in both of these categories and motivate the need for more of this work. We acknowledge that self-aggregation may appear to be far-removed from observed convective organization in terms of time scales, initial conditions, initiation processes, and mean state extremes, but we argue that these differences vary greatly across the diverse range of model simulations in the literature and that these comparisons are already offering important insights into real tropical phenomena. Some preliminary new findings are presented, including results showing that a self-aggregation simulation with square geometry has too broad distribution of humidity and is too dry in the driest regions when compared with radiosonde records from Nauru, while an elongated channel simulation has realistic representations of atmospheric humidity and its variability. We discuss recent work increasing our understanding of how organized convection and climate change may interact, and how model discrepancies related to this question are prompting interest in observational comparisons. We also propose possible future directions for observational work related to convective aggregation, including novel satellite approaches and a ground-based observational network.

Mission, physical, and war stressors' impact on aircrew psychological strain.

BACKGROUND: Little is known about the relative impact of the organization of missions on aircrew well-being. Using an occupational stress model we investigate a previously little studied concept of mission stressors and determine its relative impact in comparison to physical and war stressors in the prediction of four strains in deployed aircrews. METHOD: Questionnaires were completed by 272 deployed in-aircraft crewmembers. Three new stressors were developed for this study: mission stressors, physical stressors, and war stressors. In addition, four strains were measured: PTSD, depression, sleepiness, and nervousness. Regression analyses were used to examine the relative impact of each stressor on the four strain measures while controlling for age and occupation. RESULTS: All three stressors played a significant role in the prediction strains with the total explained variance in the analyses ranging from 15% and 39%. Interestingly, mission stressors played the most important role in the prediction of strains possessing the largest partial eta squared in each analysis. The second most important stressor was physical stressors followed by war stressors. CONCLUSION: The importance of mission stressors may be because current training is designed to inoculate crewmembers to stressors such as the physical/environmental conditions and violent war actions, but there is no training or acknowledgment of the importance of dealing with mission stressors. Our findings suggest it might be beneficial for commanders to address these stressors, as it may improve short-term psychological well-being, which may ultimately impact mission success and safety.

The effectiveness of technology-enhanced relaxation techniques for military medical warriors.

Combat zones can be very stressful for those in the area. Even in the battlefield, military medical personnel are expected to save others, while also staying alive. In this study, half of a sample of deployed military medical warriors (total n = 60) participated in technology-assisted relaxation training. Learning relaxation skills with a video clip of virtual reality relaxing scenes showed a statistically significant impact on the anxiety levels of the Experimental Group.

Simultaneous analog and photon counting detection for Raman lidar.

The Atmospheric Radiation Measurement program Raman lidar was upgraded in 2004 with a new data system that provides simultaneous measurements of both the photomultiplier analog output voltage and photon counts. We describe recent improvements to the algorithm used to merge these two signals into a single signal with improved dynamic range. The effect of modifications to the algorithm are evaluated by comparing profiles of water vapor mixing ratio from the lidar with radiosonde measurements over a six month period. The modifications that were implemented resulted in a reduction of the mean bias in the daytime water vapor mixing ratio from a 3% dry bias to well within 1%. This improvement was obtained by ignoring the temporal variation of the glue coefficients and using only the nighttime average glue coefficients throughout the entire diurnal cycle.