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020 ▼a 9780438301030
035 ▼a (MiAaPQ)AAI10842409
035 ▼a (MiAaPQ)arizona:16477
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 551.4
1001 ▼a Williams, Zachary C.
24510 ▼a Stochastic Modeling and Analysis of Earth Surface Systems: Lakes, Oceans, and Rivers.
260 ▼a [S.l.] : ▼b The University of Arizona., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 161 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Jon D. Pelletier.
5021 ▼a Thesis (Ph.D.)--The University of Arizona, 2018.
520 ▼a Observational records of natural processes are typically characterized by multiscale spatial and temporal variability. In this dissertation, variability inherent in three disparate Earth surface systems are studied
590 ▼a School code: 0009.
650 4 ▼a Geomorphology.
650 4 ▼a Physical oceanography.
650 4 ▼a Applied mathematics.
690 ▼a 0484
690 ▼a 0415
690 ▼a 0364
71020 ▼a The University of Arizona. ▼b Geosciences.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0009
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999848 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자