loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yunha Kim ; Nooree Min ; Hannah Lee ; Mi-Lim Ou ; Sanghyeon Jeon and Myung-jin Hyun

Affiliation: National Climate Data Center, Korea Meteorological Administration and South Korea

Keyword(s): Temperature, Cluster Analysis, Meteorological Observation, Quality Control, Spatial Checking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Information Quality ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.237.65.102

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - DATA; ISBN 978-989-758-377-3; ISSN 2184-285X, SciTePress, pages 364-368. DOI: 10.5220/0007965703640368

@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 - DATA},
year={2019},
pages={364-368},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007965703640368},
isbn={978-989-758-377-3},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA
TI - Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis
SN - 978-989-758-377-3
IS - 2184-285X
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
PB - SciTePress