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001000000434369
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020 ▼a 9781687962409
035 ▼a (MiAaPQ)AAI22619717
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 551.5
1001 ▼a Leonardo, Nicholas M.
24510 ▼a Ensemble Verification of North Atlantic Tropical Cyclone Track Forecasts and an Analysis of Large Error Cases.
260 ▼a [S.l.]: ▼b State University of New York at Stony Brook., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 210 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
500 ▼a Advisor: Colle, Brian A
5021 ▼a Thesis (Ph.D.)--State University of New York at Stony Brook, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a The investigation of North Atlantic tropical cyclone (TC) track and intensity forecasts has mainly focused on deterministic metrics of individual models over sample periods of one to three years (e.g. Goerss et al. 2004
590 ▼a School code: 0771.
650 4 ▼a Atmospheric sciences.
690 ▼a 0725
71020 ▼a State University of New York at Stony Brook. ▼b Marine and Atmospheric Science.
7730 ▼t Dissertations Abstracts International ▼g 81-05B.
773 ▼t Dissertation Abstract International
790 ▼a 0771
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493650 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK