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020 ▼a 9780438175303
035 ▼a (MiAaPQ)AAI10827092
035 ▼a (MiAaPQ)washington:18631
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 624
1001 ▼a Sikder, S.
24510 ▼a Advancing Precipitation and Transboundary Flood Forecasting in Monsoon Climates.
260 ▼a [S.l.]: ▼b University of Washington., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 180 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Faisal Hossain.
5021 ▼a Thesis (Ph.D.)--University of Washington, 2018.
520 ▼a About a billion people are directly or indirectly affected by annual monsoon flooding in South and Southeast Asia. Skillful flood forecasting is crucial in this densely populated part of the world, where most of the countries share large interna
520 ▼a Due to the current lack of structured guidance for operational users of weather and climate data for flood forecasting, performance of the general circulation model (GCM), regional NWP model (Weather Research and Forecasting), and global NWP mod
520 ▼a Finally, the most user-ready element of this study was derived from a comparison between the regional NWP model (WRF) and global NWP model (GFS) forecasted flow. The results indicate that the improvement due to the use of a regional NWP model li
590 ▼a School code: 0250.
650 4 ▼a Civil engineering.
650 4 ▼a Water resources management.
650 4 ▼a Hydrologic sciences.
690 ▼a 0543
690 ▼a 0595
690 ▼a 0388
71020 ▼a University of Washington. ▼b Civil and Environmental Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0250
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998982 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033