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Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning
المؤلفون المشاركون
Yoon, Yourim
Kim, Yong-Hyuk
Kim, Na-Young
Im, Hyo-Hyuc
Sim, Sangjin
Ha, Ji-Hun
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-30
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Severe weather events occur more frequently due to climate change; therefore, accurate weather forecasts are necessary, in addition to the development of numerical weather prediction (NWP) of the past several decades.
A method to improve the accuracy of weather forecasts based on NWP is the collection of more meteorological data by reducing the observation interval.
However, in many areas, it is economically and locally difficult to collect observation data by installing automatic weather stations (AWSs).
We developed a Mini-AWS, much smaller than AWSs, to complement the shortcomings of AWSs.
The installation and maintenance costs of Mini-AWSs are lower than those of AWSs; Mini-AWSs have fewer spatial constraints with respect to the installation than AWSs.
However, it is necessary to correct the data collected with Mini-AWSs because they might be affected by the external environment depending on the installation area.
In this paper, we propose a novel error correction of atmospheric pressure data observed with a Mini-AWS based on machine learning.
Using the proposed method, we obtained corrected atmospheric pressure data, reaching the standard of the World Meteorological Organization (WMO; ±0.1 hPa), and confirmed the potential of corrected atmospheric pressure data as an auxiliary resource for AWSs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ha, Ji-Hun& Kim, Yong-Hyuk& Im, Hyo-Hyuc& Kim, Na-Young& Sim, Sangjin& Yoon, Yourim. 2018. Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1118861
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ha, Ji-Hun…[et al.]. Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning. Advances in Meteorology No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1118861
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ha, Ji-Hun& Kim, Yong-Hyuk& Im, Hyo-Hyuc& Kim, Na-Young& Sim, Sangjin& Yoon, Yourim. Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1118861
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118861
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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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
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