Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning
Joint Authors
Yoon, Yourim
Kim, Yong-Hyuk
Kim, Na-Young
Im, Hyo-Hyuc
Sim, Sangjin
Ha, Ji-Hun
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118861