A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations
Joint Authors
Xiong, Xiong
Ye, XiaoLing
Kan, Yajin
Zhang, Yingchao
Chen, Xin
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-13
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
An improved kernel regression (IKR) method based on an adaptive algorithm and particle swarm optimization is proposed.
Considering the limitations of current quality control methods in different regions and on multiple time scales, the kernel regression algorithm is applied to the quality control of surface air temperature observations.
Observations of 12 reference stations in Jiangsu from 1961 to 2008 and of 14 regions in China from 2010 to 2014 were selected.
The analysis of surface air temperature observations was performed in terms of the mean absolute error (MAE), root mean square error (RMSE), consistency indicator (IOA), and Nash–Sutcliffe model efficiency coefficient (NSC).
The results indicate that compared with the traditional IDW and SRT methods, the IKR method has a high error detection rate.
Furthermore, the IKR method achieves better predictions and fitting in the single-station and multistation regression experiments in Jiangsu and in the national multistation regression prediction experiment.
American Psychological Association (APA)
Ye, XiaoLing& Kan, Yajin& Xiong, Xiong& Zhang, Yingchao& Chen, Xin. 2020. A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1126911
Modern Language Association (MLA)
Ye, XiaoLing…[et al.]. A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations. Advances in Meteorology No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1126911
American Medical Association (AMA)
Ye, XiaoLing& Kan, Yajin& Xiong, Xiong& Zhang, Yingchao& Chen, Xin. A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1126911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126911