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  • Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed
Title: Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed
Award ID(s):
1748653
PAR ID:
10313239
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ;
Date Published:
Journal Name:
Water Resources Research
Volume:
57
Issue:
3
ISSN:
0043-1397
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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