지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 김맹기
- 발행연도
- 2016
- 저작권
- 공주대학교 논문은 저작권에 의해 보호받습니다.
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이 논문의 연구 히스토리 (3)
2016
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초록· 키워드
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In this study new calibration matrix is developed by advancing highly the decision process of convective cloud in order to estimate the COMS based convective rainfall rate using satellite and radar data over the Korea Peninsula for four summer from 2012 to 2015. The estimated convective rainfall rates are also validated by cross validation method using AWS rainfall rate.
Convective cloud boxes are determined by considering the correlation coefficients over 0.8 between auto-estimator and radar rain rate and then convective boxes of radar are displaced to COMS convective boxes with maximum correlation. Threshold value of correlation coefficient of 0.8 is determined by sensitivity test of threshold on POD and FAR in this study. Final convective boxes are determined by selecting only boxes where the contrast between maximum and minimum rain rate in radar is over 9 mm per hour. As a final step, new calibration matrix is produced by applying statistical method using convective boxes determined by the decision process of convective cloud.
The new calibration matrix is quantitatively compared with the old one estimated from Spain regions for the convective cloud cases. Results show that the maximum rain rate from the old calibration matrix is 23 mm per hour while the maximum rain rate from the new calibration matrix is 70 mm per hour, indicating that new method is superior to the old method, especially in heavy convective rainfall cases. Moreover the cross validation shows that there are some improvements of about 15.5% on POD and reduction of 2.4 mm per hour on RMS error. Some discussions are also suggested for future study.
Convective cloud boxes are determined by considering the correlation coefficients over 0.8 between auto-estimator and radar rain rate and then convective boxes of radar are displaced to COMS convective boxes with maximum correlation. Threshold value of correlation coefficient of 0.8 is determined by sensitivity test of threshold on POD and FAR in this study. Final convective boxes are determined by selecting only boxes where the contrast between maximum and minimum rain rate in radar is over 9 mm per hour. As a final step, new calibration matrix is produced by applying statistical method using convective boxes determined by the decision process of convective cloud.
The new calibration matrix is quantitatively compared with the old one estimated from Spain regions for the convective cloud cases. Results show that the maximum rain rate from the old calibration matrix is 23 mm per hour while the maximum rain rate from the new calibration matrix is 70 mm per hour, indicating that new method is superior to the old method, especially in heavy convective rainfall cases. Moreover the cross validation shows that there are some improvements of about 15.5% on POD and reduction of 2.4 mm per hour on RMS error. Some discussions are also suggested for future study.
목차
1. 서 론 12. 자료 및 방법 32.1 자료 32.1.1 천리안위성자료 32.1.2 레이더자료 52.2 연구방법 92.2.1 대류운 판별 과정 92.2.2 조견표 산출 과정 162.3 검증방법 192.3.1 시공간 일치 방법 192.3.2 검증 방법 213. 연구 결과 233.1 최대상관계수 민감도분석 결과 233.2 조견표 산출 결과 273.3 사례 분석 결과 343.3.1 2015년 6월 19일 21UTC 강수사례 343.3.2 2013년 8월 29일 23UTC 강수사례 363.3.3 2013년 8월 22일 21UTC 강수사례 393.4 정량적 검증 결과 424. 요약 및 결론 48참고문헌 50ABSTRACT 52
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