| Year of Publication | 2015 | Division | Applied Meteorology Research Division |
|---|---|---|---|
| Title | Quality Control of Agro-meteorological Data Measured at Suwon Weather Station of Korea Meteorological Administration | ||
| Author | 오규림 | ||
| Coauthor | 이승재, 최병철, 김준, 김규랑, 최성원, 이병렬 | ||
| ISBN(ISSN) | 1229-5671 | Name of Journal | 한국농림기상학회지 |
| Category (International/Domestic) | 국내 | Vol. No. | 17 |
| Research Project Title | 응용기상기술개발연구 (2015년) | Publication Date | 2015-03-31 |
| Keywords | Quality control, Agro-meteorological data, RQMOD, ISMN, Suwon | ||
In this research, we applied a procedure of quality control (QC) to the agro-meteorological data
measured at the Suwon weather station of Korea Meteorological Administration (KMA). The QC was
conducted through six steps based on the KMA Real-time Quality control system for Meteorological
Observation Data (RQMOD) and four steps based on the International Soil Moisture Network
(ISMN) QC modules. In addition, we set up our own empirical method to remove erroneous data
which could not be filtered by the RQMOD and ISMN methods. After all these QC procedures, a
well-refined agro-meteorological dataset was complied at both air and soil temperatures. Our research
suggests that soil moisture requires more detailed and reliable grounds to remove doubtful data,
especially in winter with its abnormal variations. The raw data and the data after QC are now
available at the NCAM website (http://ncam.kr/page/req/agri_weather.php).
measured at the Suwon weather station of Korea Meteorological Administration (KMA). The QC was
conducted through six steps based on the KMA Real-time Quality control system for Meteorological
Observation Data (RQMOD) and four steps based on the International Soil Moisture Network
(ISMN) QC modules. In addition, we set up our own empirical method to remove erroneous data
which could not be filtered by the RQMOD and ISMN methods. After all these QC procedures, a
well-refined agro-meteorological dataset was complied at both air and soil temperatures. Our research
suggests that soil moisture requires more detailed and reliable grounds to remove doubtful data,
especially in winter with its abnormal variations. The raw data and the data after QC are now
available at the NCAM website (http://ncam.kr/page/req/agri_weather.php).
