Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis

Yunha Kim, Nooree Min, Hannah Lee, Mi-Lim Ou, Sanghyeon Jeon, Myung-jin Hyun

Abstract

In the National Climate Data Center of Korea Meteorological Administration, quality control methods of meteorological observations are applied to identify erroneous observation values. The type of quality control methods we have been using is to check the value from one station, either instantly or temporally. The spatial checking methods that find errors by comparing values of several stations at a time are difficult to apply because calculating the threshold using a large amount of observations is time consuming and various conditions for applying are required. In this study, we develop a new spatial checking method for temperature observation data using cluster analysis for meteorological observations that can be performed fast and effective in clarifying errors that have not been discovered.

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Paper Citation


in Harvard Style

Kim Y., Min N., Lee H., Ou M., Jeon S. and Hyun M. (2019). Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 364-368. DOI: 10.5220/0007965703640368


in Bibtex Style

@conference{data19,
author={Yunha Kim and Nooree Min and Hannah Lee and Mi-Lim Ou and Sanghyeon Jeon and Myung-jin Hyun},
title={Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={364-368},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007965703640368},
isbn={978-989-758-377-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis
SN - 978-989-758-377-3
AU - Kim Y.
AU - Min N.
AU - Lee H.
AU - Ou M.
AU - Jeon S.
AU - Hyun M.
PY - 2019
SP - 364
EP - 368
DO - 10.5220/0007965703640368