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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
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