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Enhancement of a global lake and reservoir database to aid climate studies and resource monitoring utilizing satellite radar altimetryHere, we describe the expansion and enhancement of a large (surface area ≥100 sq. km) lake and reservoir database (1.GREALD). These efforts have also resulted in the spin-off of two additional databases, one containing lakes and reservoirs (2.GREALD, area 10–99 sq. km), and the other containing ephemeral lakes (3.GELD, area ≥100 sq. km). These databases are unique sources for projects that utilize satellite radar altimeter data to monitor surface water levels. While 1.GREALD aims to be a complete catalog, 2.GREALD focuses on reservoirs in response to applied sciences programs that monitor water and energy resources. The creation of 3.GELD has climate change objectives as well as water resources and ecosystem conservation applications. The recording of information pertaining to the potential overpasses (waterbody crossings) of the current and archive satellite altimeters is a primary objective as is the need to highlight any form of controlled water level variation. The permanent water databases now contain 6282 entries, half experience some form of anthropogenic influence and ∼430 have been identified as potential climatically sensitive terminal lakes. The revised integral surface area distribution is a power law with exponent −1.016. Statistics reveal that with altimetric repeat visit times of 10-day to monthly, at least 80% of the permanent water bodies (≥10 sq. km) have been overflown at some period since the 1990s. Current information on water use and reservoir formation date show that the primary use of the reservoir class is hydroelectric power, and that China, Brazil, India, Turkey, and Vietnam dominate the dam building in recent decades.
Document ID
20220002107
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Charon M. Birkett
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Katherine O'Brien
(University of Maryland, College Park College Park, Maryland, United States)
Scott Kinsey
(University of Maryland, College Park College Park, Maryland, United States)
Martina Ricko
(Stinger Ghaffarian Technologies (United States) Greenbelt, Maryland, United States)
Yuanjie Li
(University of Maryland, College Park College Park, Maryland, United States)
Date Acquired
February 7, 2022
Publication Date
January 28, 2022
Publication Information
Publication: Journal of Great Lakes Research
Publisher: Elsevier
Volume: 48
Issue: 1
Issue Publication Date: February 1, 2022
ISSN: 0380-1330
Subject Category
Earth Resources And Remote Sensing
Meteorology And Climatology
Funding Number(s)
WBS: 389018.02.10.03.60
WBS: 389018.02.10.03.58
WBS: 066344.02.01.02.99
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Professional Review
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