| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000433649 |
| 005 | | 20200225152010 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781687915009 |
| 035 | |
▼a (MiAaPQ)AAI22588380 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Yoshida, Takuma. |
| 245 | 10 |
▼a Covariance Localization in Strongly Coupled Data Assimilation. |
| 260 | |
▼a [S.l.]:
▼b University of Maryland, College Park.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 219 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
| 500 | |
▼a Advisor: Kalnay, Eugenia |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Maryland, College Park, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a The recent development of accurate coupled models of the Earth system and enhanced computation power have enabled numerical prediction with the coupled models in weather, sub-seasonal, seasonal, and interannual time scales as well as climate projection. In the shorter timescales, the initial condition, or the estimate of the present state of the system, is essential for accurate prediction. Coupled data assimilation (DA) based on an ensemble of forecasts seems to be a promising approach for this state estimate due to its inherent ability to estimate flow-dependent error covariance.Strongly coupled DA tries to incorporate more observations of the other subsystems into an analysis (e.g., ocean observations into the atmospheric analysis) using the coupled error covariances |
| 590 | |
▼a School code: 0117. |
| 650 | 4 |
▼a Atmospheric sciences. |
| 650 | 4 |
▼a Ocean engineering. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0725 |
| 690 | |
▼a 0547 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a University of Maryland, College Park.
▼b Atmospheric and Oceanic Sciences. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0117 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493084
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |