Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China
المؤلفون المشاركون
Li, Li
Wu, Suqin
Wang, Xiaoming
Tian, Ying
He, Changyong
Zhang, Kefei
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-03-02
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
In this study, radiosonde observations during the period of 2012-2013 from three stations in the Hunan region, China, were used to establish regional Tm models (RTMs) that are a fitting function of multiple meteorological factors (Ts, Es, and Ps).
One-factor, two-factor, and three-factor RTMs were assessed by comparing their Tm against the radiosonde-derived Tm (as the truth) during the period of 2013-2014.
Statistical results showed that the bias and RMS of the one-factor RTM, in comparison to the BTM result, were reduced by 88% and 28%, respectively.
The two-factor and three-factor RTMs showed similar accuracy and both outperformed the one-factor RTM, with an improvement of 7% in RMS.
The bias and RMS of all the four seasonal two-factor RTMs were smaller than the yearly two-factor RTM, with the improvements of 3%, 10%, 2%, and 3% in RMS.
The improvement of the conversion factors in mean bias and RMS resulting from the seasonal two-factor RTM is 92% and 31%.
The bias and RMS of the PWV resulting from the seasonal two-factor RTM are improved by 37% and 12%, respectively.
Therefore, the seasonal two-factor RTMs are recommended for the research and applications of GNSS meteorology in the Hunan region, China.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Li& Wu, Suqin& Wang, Xiaoming& Tian, Ying& He, Changyong& Zhang, Kefei. 2017. Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122632
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Li…[et al.]. Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China. Advances in Meteorology No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1122632
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Li& Wu, Suqin& Wang, Xiaoming& Tian, Ying& He, Changyong& Zhang, Kefei. Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122632
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1122632
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