한국형수치예보모델 자료동화에서위성 복사자료 관측오차 진단 및 영향 평가
Diagnostics of Observation Error of Satellite Radiance Data in Korean Integrated Model (KIM) Data Assimilation System
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참고문헌
키워드
초록
The observation error of satellite radiation data that assimilated into the KoreanIntegrated Model (KIM) was diagnosed by applying the Hollingsworth and Lönnberg andDesrozier techniques commonly used. The magnitude and correlation of the observation error,and the degree of contribution for the satellite radiance data were calculated. The observationerrors of the similar device, such as Advanced Technology Microwave Sounder (ATMS) andAdvanced Microwave Sounding Unit-A shows different characteristics. The model resolutionaccounts for only 1% of the observation error, and seasonal variation is not significant factor,either. The observation error used in the KIM is amplified by 3–8 times compared to the diagnosedvalue or standard deviation of first-guess departures. The new inflation value was calculatedbased on the correlation between channels and the ratio of background error and observationerror. As a result of performing the model sensitivity evaluation by applying the newlyinflated observation error of ATMS, the error of temperature and water vapor analysis fieldwere decreased. And temperature and water vapor forecast field have been significantly improved,so the accuracy of precipitation prediction has also been increased by 1.7% on averagein Asia especially.
Abstract
The observation error of satellite radiation data that assimilated into the KoreanIntegrated Model (KIM) was diagnosed by applying the Hollingsworth and Lönnberg andDesrozier techniques commonly used. The magnitude and correlation of the observation error,and the degree of contribution for the satellite radiance data were calculated. The observationerrors of the similar device, such as Advanced Technology Microwave Sounder (ATMS) andAdvanced Microwave Sounding Unit-A shows different characteristics. The model resolutionaccounts for only 1% of the observation error, and seasonal variation is not significant factor,either. The observation error used in the KIM is amplified by 3–8 times compared to the diagnosedvalue or standard deviation of first-guess departures. The new inflation value was calculatedbased on the correlation between channels and the ratio of background error and observationerror. As a result of performing the model sensitivity evaluation by applying the newlyinflated observation error of ATMS, the error of temperature and water vapor analysis fieldwere decreased. And temperature and water vapor forecast field have been significantly improved,so the accuracy of precipitation prediction has also been increased by 1.7% on averagein Asia especially.
참고문헌 (21)
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