Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm
المؤلفون المشاركون
Wang, Hao
Chen, Gangyi
Lei, Huanhuan
Wang, Yongqian
Tang, Shunxian
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-07-19
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Strong, local convective weather events are capable of causing extensive damage, but weather observation systems with limited resolution and radar monitoring can typically provide only a few minutes to hours of prior warning time.
This paper presents a comprehensive case study of the cumulative evolution of several characteristic quantities during one extremely severe convective weather process.
The research results indicate that the main feature of strong convective weather is the uneven distribution of thermal energy in the atmosphere, and the structure of this heat distribution determines the level of instability in the atmosphere.
A vertical “clockwise rolling current” occurs in the wind field structure at the beginning of the process, and this is accompanied by a rapid drop in temperature at the top of the troposphere.
When these signs occurred in the case study, radar technology was used to refine the precipitation region and spatial characteristics of the approaching storm.
The height and vertical evolution of radar echoes were indicative of the characteristics of the system’s movement through space.
Such findings may be useful for improving the forecasting times for strong convective weather.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Hao& Chen, Gangyi& Lei, Huanhuan& Wang, Yongqian& Tang, Shunxian. 2016. Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095674
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Hao…[et al.]. Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm. Advances in Meteorology No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1095674
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Hao& Chen, Gangyi& Lei, Huanhuan& Wang, Yongqian& Tang, Shunxian. Improving the Predictability of Severe Convective Weather Processes by Using Wind Vectors and Potential Temperature Changes: A Case Study of a Severe Thunderstorm. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095674
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095674
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر