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020 ▼a 9780438309883
035 ▼a (MiAaPQ)AAI10970747
035 ▼a (MiAaPQ)OhioLINK:osu1468028060
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 628
1001 ▼a Li, Dongyue.
24510 ▼a Estimating Snow Water Resources From Space: A Passive Microwave Remote Sensing Data Assimilation Study in the Sierra Nevada, USA.
260 ▼a [S.l.] : ▼b The Ohio State University., ▼c 2016
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2016
300 ▼a 203 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Michael Durand.
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2016.
520 ▼a Improving the estimation of snow water equivalent (SWE) in the Sierra Nevada is critical for the water resources management in California. In this study, we carried out an experiment to estimate SWE in the Upper Kern Basin, Sierra Nevada, by ass
520 ▼a The modeling was at a very high resolution (90m) and spanned a range of mountain environmental factors to better characterize the effects of the mountain environment on snow distribution and radiance emission. We have developed a dynamic snow gr
520 ▼a We found the posterior SWE estimates showed improved accuracy and robustness. During the study period of 2003 to 2008, at point-scale, the average bias of the six-year April 1st SWE was reduced from -0.17 m to -0.02m, the average temporal SWE RM
590 ▼a School code: 0168.
650 4 ▼a Environmental engineering.
650 4 ▼a Hydrologic sciences.
650 4 ▼a Geology.
650 4 ▼a Remote sensing.
690 ▼a 0775
690 ▼a 0388
690 ▼a 0372
690 ▼a 0799
71020 ▼a The Ohio State University. ▼b Geodetic Science and Surveying.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001346 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자