Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification
المؤلفون المشاركون
Yang, Yi
Yang, Lili
Liu, Peng
Wang, Lina
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-11-24
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
A method for improving radar-derived quantitative precipitation estimation is proposed.
Tropical vertical profiles of reflectivity (VPRs) are first determined from multiple VPRs.
Upon identifying a tropical VPR, the event can be further classified as either tropical-stratiform or tropical-convective rainfall by a fuzzy logic (FL) algorithm.
Based on the precipitation-type fields, the reflectivity values are converted into rainfall rate using a Z-R relationship.
In order to evaluate the performance of this rainfall classification scheme, three experiments were conducted using three months of data and two study cases.
In Experiment I, the Weather Surveillance Radar-1988 Doppler (WSR-88D) default Z-R relationship was applied.
In Experiment II, the precipitation regime was separated into convective and stratiform rainfall using the FL algorithm, and corresponding Z-R relationships were used.
In Experiment III, the precipitation regime was separated into convective, stratiform, and tropical rainfall, and the corresponding Z-R relationships were applied.
The results show that the rainfall rates obtained from all three experiments match closely with the gauge observations, although Experiment II could solve the underestimation, when compared to Experiment I.
Experiment III significantly reduced this underestimation and generated the most accurate radar estimates of rain rate among the three experiments.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Lili& Yang, Yi& Liu, Peng& Wang, Lina. 2016. Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095394
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Lili…[et al.]. Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1095394
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Lili& Yang, Yi& Liu, Peng& Wang, Lina. Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095394
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095394
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