Quality Control for Surface Hourly Temperature Observations via An Improved SRT Method

DOI

10.2991/iceep-17.2017.105How to use a DOI?

Keywords

surface hourly temperature, quality control, RH-SRT, RH, SRT.

Abstract

The article aims to discuss the quality control methods for the surface hourly temperature observations. A new quality control method (RH-SRT) based on the spatial regression test (SRT) was adopted to identify potential outliers in the surface hourly temperature observations. The proposed method is an extension of SRT, which takes the relationship between relative humidity and temperature as the explaining variable to obtain the estimated value of surface temperature. In order to evaluate the proposed method, RH-SRT was applied to an annual temperature dataset with seeded errors for different regions in Jiangsu Province during 2007. Compared with the traditional SRT method, the results demonstrate that RH-SRT outperforms SRT for all cases. Moreover, comparison results demonstrate that the RH-SRT method is an effective version of SRT, which could be used to improve the quality of surface hourly temperature observations.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Qidong Zhang
AU  - Xiong Xiong
PY  - 2017/06
DA  - 2017/06
TI  - Quality Control for Surface Hourly Temperature Observations via An Improved SRT Method
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 591
EP  - 596
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.105
DO  - 10.2991/iceep-17.2017.105
ID  - Zhang2017/06
ER  -