Table of Contents Author Guidelines Submit a Manuscript
Advances in Meteorology
Volume 2017, Article ID 8601296, 15 pages
https://doi.org/10.1155/2017/8601296
Research Article

A Quality Control Method Based on an Improved Random Forest Algorithm for Surface Air Temperature Observations

1School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, China
2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China

Correspondence should be addressed to Xing Yang; moc.liamg@xgnayyrrah

Received 14 March 2017; Accepted 6 June 2017; Published 10 July 2017

Academic Editor: Peng Yu

Copyright © 2017 Xiaoling Ye et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xiaoling Ye, Xing Yang, Xiong Xiong, Yunpei Shen, Man Hao, and Rong Gu, “A Quality Control Method Based on an Improved Random Forest Algorithm for Surface Air Temperature Observations,” Advances in Meteorology, vol. 2017, Article ID 8601296, 15 pages, 2017. https://doi.org/10.1155/2017/8601296.