Density altitude: Climatology of Daily Maximum Values and Evaluation of Approximations for General Aviation

IF 1.9 4区 地球科学 Q3 ENVIRONMENTAL STUDIES Weather Climate and Society Pub Date : 2022-08-05 DOI:10.1175/wcas-d-22-0026.1
Daniel J. Halperin, Thomas A. Guinn, S. Strazzo, Robert L. Thomas
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引用次数: 1

Abstract

Density altitude (DA) is an aviation parameter that helps determine specific aircraft performance characteristics for the expected atmospheric conditions. However, there are currently no detailed graphical tools for general aviation (GA) pilot education demonstrating the spatial and temporal variation of DA to help improve situational awareness. In this study, the fifth-generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis of the global climate (ERA5) dataset is used to construct a 30-year monthly climatology of DA for the conterminous United States. Several DA characteristics are also investigated, including the effect of water vapor on DA, the determination of reasonable worst-case conditions, and the applicability of two DA rules-of-thumb (ROTs). Maximum values of DA (worst aircraft performance) occur during July reaching 3,600 m over areas with high surface elevations. Humidity, while tertiary to the effects of temperature and pressure, cause the DA to increase from their dry values by more than 140 m as far north as the U.S./Canada border. The dry DA ROT performs well for all conditions outside of strong tropical cyclones, where GA flights would not be expected. The ROT to correct for the effects of water vapor performs well except in high elevations or when the dew point temperatures fall outside the applicable range of ≥5°C. When applied outside this range, in some situations, DA errors can be greater than if no humidity correction were applied. Therefore, a new humidity ROT is introduced here which extends the applicable dew point temperature range to ≥-28°C and reduces DA errors.
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密度高度:日最大值气候学和通用航空近似评价
密度高度(DA)是一个航空参数,有助于确定预期大气条件下的特定飞机性能特征。然而,目前还没有详细的通用航空飞行员教育图形工具来展示DA的空间和时间变化,以帮助提高态势感知能力。在这项研究中,第五代欧洲中期天气预报中心全球气候大气再分析(ERA5)数据集用于构建美国近30年的DA月度气候学。还研究了几个DA特性,包括水蒸气对DA的影响,合理的最坏情况条件的确定,以及两个DA经验法则(ROT)的适用性。DA(最差飞机性能)的最大值出现在7月份,在高海拔地区达到3600米。湿度虽然是温度和压力的三级影响,但会导致DA从其干燥值增加140米以上,远至美国/加拿大边境。干燥的DA ROT在强烈热带气旋以外的所有条件下都表现良好,在这些条件下GA飞行是不可能的。用于校正水蒸气影响的ROT表现良好,除非在高海拔地区或露点温度低于≥5°C的适用范围。当在该范围之外应用时,在某些情况下,DA误差可能比不应用湿度校正时更大。因此,本文引入了一种新的湿度ROT,它将适用的露点温度范围扩展到≥-28°C,并减少了DA误差。
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来源期刊
Weather Climate and Society
Weather Climate and Society METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
3.40
自引率
13.60%
发文量
95
审稿时长
>12 weeks
期刊介绍: Weather, Climate, and Society (WCAS) publishes research that encompasses economics, policy analysis, political science, history, and institutional, social, and behavioral scholarship relating to weather and climate, including climate change. Contributions must include original social science research, evidence-based analysis, and relevance to the interactions of weather and climate with society.
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