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Ensemble Data Assimilation for the Analysis and Prediction of Multiscale Tropical Weather Systems
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Ying, Yue. |
| 단체저자명 | The Pennsylvania State University. Meteorology. |
| 서명/저자사항 | Ensemble Data Assimilation for the Analysis and Prediction of Multiscale Tropical Weather Systems. |
| 발행사항 | [S.l.] : The Pennsylvania State University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 195 p. |
| 소장본 주기 | School code: 0176. |
| ISBN | 9780438136182 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
|
| 요약 | Tropical weather systems are important components of the global circulation that span a wide range of spatial and temporal scales. On the large-scale end of the spectrum, the Madden-Julian Oscillation (MJO) is found to be the dominant mode. Atmo |
| 요약 | Using a convection-permitting numerical model, Weather Research and Forecasting (WRF), an MJO active phase during October 2011 is simulated. The practical predictability limit is estimated from an ensemble forecast with realistic initial and bou |
| 요약 | For ensemble filtering, covariance localization and inflation methods are required to account for sampling errors due to limited ensemble size and unrepresented model errors. Tuning the localization and inflation to achieve optimal filter perfor |
| 일반주제명 | Meteorology. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000750 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025665 | 551 | 가야대학교// | 대출가능 |
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