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
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 254 - 258 (5page)
이용수
초록· 키워드
오류제보하기
Satellite precipitation estimates are widely used to measure global rainfall on monthly, daily, and hourly timescales for studies. Near real-time satellite precipitation estimates are becoming increasingly available to the wider community. These precipitation estimates are potentially very useful for applications such as numerical weather prediction (NWP) data assimilation, now casting and flash flood warning, tropical rainfall potential, and water resources monitoring, etc. As with any observational data, it is important to understand their accuracy and limitations. This is done by verifying the satellite precipitation estimates against independent data from rain gauges. The terms evaluate and verify are used here to mean "to determine or test the truth or accuracy of the QPE (Quantitative Precipitation Estimation) product" (John E.1999)
High resolution rainfall distribution map can be derived from satellite observation, and rain gauges data can give us accurate rainfall measurements at a fixed location .Combined them together, the merging of satellite precipitation estimates and rain gauge measurement is to "calibrate" satellite precipitation estimation with ground observation, so that a more accurate rainfall field can be drawn. In this paper, we use a intellective objective analysis scheme which is brought forward by LU nai-meng (2004) to accomplish the merging or called "fusing".
In this study, the satellite precipitation estimation data we used to fusing is from the National Satellite Meteorological Center (NSMC) which resolution is 0.1 degree. The rain gauge data is from the National Meteorological Information Center (NMIC). Based on the hourly and daily rain gauge precipitation observations of over 30000 rain gauges and the satellite precipitation estimation products, a real-time merging system to get the QPE product is established. At last we have done a series of evaluate and verify job to test the accuracy of the QPE products.
High resolution rainfall distribution map can be derived from satellite observation, and rain gauges data can give us accurate rainfall measurements at a fixed location .Combined them together, the merging of satellite precipitation estimates and rain gauge measurement is to "calibrate" satellite precipitation estimation with ground observation, so that a more accurate rainfall field can be drawn. In this paper, we use a intellective objective analysis scheme which is brought forward by LU nai-meng (2004) to accomplish the merging or called "fusing".
In this study, the satellite precipitation estimation data we used to fusing is from the National Satellite Meteorological Center (NSMC) which resolution is 0.1 degree. The rain gauge data is from the National Meteorological Information Center (NMIC). Based on the hourly and daily rain gauge precipitation observations of over 30000 rain gauges and the satellite precipitation estimation products, a real-time merging system to get the QPE product is established. At last we have done a series of evaluate and verify job to test the accuracy of the QPE products.
목차
1. Introduction
2. Data and method description
3. Evaluation of the QPE products
4. Results and discussion
AcknowledgementS
References
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UCI(KEPA) : I410-ECN-0101-2013-453-000981406