| YANG Chansu,KIM Sunhwa. 2016. Quality control methods for KOOS operational sea surface temperature products. Acta Oceanologica Sinica, 35(2):11－18 |
| Quality control methods for KOOS operational sea surface temperature products |
| Quality control methods for KOOS operational sea surface temperature products |
| Received:July 20, 2015 Revised:September 21, 2015 |
| DOI：10.1007/s13131-016-0807-z |
| Key words:SST quality control diurnal effect bias error standard deviation |
| 中文关键词: SST quality control diurnal effect bias error standard deviation |
| 基金项目:A part of the projects titled “Development of Korea Operational Oceanographic System (KOOS), Phase 2”, “Construction of Ocean Research Stations and their Application Studies”, “Development of Environmental Information System for NSR Navigation” funded by the Ministry of Oceans and Fisheries, Korea, and "Development of fundamental technology for coastal erosion control" of KIOST. |
| Author Name | Affiliation | E-mail | | YANG Chansu | Korea Ocean Satellite Research Center, Korea Institute of Ocean Science and Technology, Ansan 426-744, Republic of Korea
Ocean Science and Technology School, Korea Maritime and Ocean University, Busan 606-791, Republic of Korea
Marine Environmental System Science, Korea University of Science and Technology, Daejeon 305-350, Republic of Korea | | | KIM Sunhwa | Korea Ocean Satellite Research Center, Korea Institute of Ocean Science and Technology, Ansan 426-744, Republic of Korea | scorpio96@kiost.ac.kr |
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| Abstract: |
| Sea surface temperature SST obtained from the initial version of the Korea Operational Oceanographic System (KOOS) SST satellite have low accuracy during summer and daytime. This is attributed to the diurnal warming effect. Error estimation of SST data must be carried out to use the real-time forecasting numerical model of the KOOS. This study suggests two quality control methods for the KOOS SST system. To minimize the diurnal warming effect, SSTs of areas where wind speed is higher than 5 m/s were used. Depending on the wind threshold value, KOOS SST data for August 2014 were reduced by 0.15℃. Errors in SST data are considered to be a combination of random, sampling, and bias errors. To estimate bias error, the standard deviation of bias between KOOS SSTs and climatology SSTs were used. KOOS SST data yielded an analysis error standard deviation value similar to OSTIA and NOAA NCDC (OISST) data. The KOOS SST shows lower random and sampling errors with increasing number of observations using six satellite datasets. In further studies, the proposed quality control methods for the KOOS SST system will be applied through more long-term case studies and comparisons with other SST systems. |
| 中文摘要: |
| Sea surface temperature SST obtained from the initial version of the Korea Operational Oceanographic System (KOOS) SST satellite have low accuracy during summer and daytime. This is attributed to the diurnal warming effect. Error estimation of SST data must be carried out to use the real-time forecasting numerical model of the KOOS. This study suggests two quality control methods for the KOOS SST system. To minimize the diurnal warming effect, SSTs of areas where wind speed is higher than 5 m/s were used. Depending on the wind threshold value, KOOS SST data for August 2014 were reduced by 0.15℃. Errors in SST data are considered to be a combination of random, sampling, and bias errors. To estimate bias error, the standard deviation of bias between KOOS SSTs and climatology SSTs were used. KOOS SST data yielded an analysis error standard deviation value similar to OSTIA and NOAA NCDC (OISST) data. The KOOS SST shows lower random and sampling errors with increasing number of observations using six satellite datasets. In further studies, the proposed quality control methods for the KOOS SST system will be applied through more long-term case studies and comparisons with other SST systems. |
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