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A Comparative Study of Available Water in the Major River Basins of the WorldNumerous large river basins of the world have few and irregular observations of the components of the terrestrial hydrological cycle with the exception of stream gauges at a few locations and at the outlet along with sparsely distributed rain gauges. Using observations from satellite sensors and output from global land surface models, it is possible to study these under-observed river basins. With populations greater than a billion people, some of these rivers (e.g., the Ganga-Brahmaputra, the Yangtze, the Nile and the Mekong) are the economic engines of the countries they transect, yet thorough assessment of their flow dynamics and variability in regard to water resource management is still lacking. In this paper, we use soil moisture (0-2m) and surface runoff from the NASA Global Land Data Assimilation System (GLDAS), evapotranspiration, and Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and rainfall from the Tropical Rainfall Measuring Mission (TRMM) and total water storage anomaly from the Gravity Recovery and Climate Experiment (GRACE) to examine variability of individual water balance components. To this end, understanding the inter-annual and intra-seasonal variability and the spatial variability of the water balance components in the major river basins of the world will help to plan for improved management of water resources for the future.
Document ID
20190001491
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Venkat Lakshmi
(University of South Carolina, Columbia Columbia, SC, United States)
Jessica Fayne
(University of South Carolina, Columbia Columbia, SC, United States)
John Bolten
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
March 12, 2019
Publication Date
October 19, 2018
Publication Information
Publication: Journal of Hydrology
Publisher: Elsevier
Volume: 567
Issue Publication Date: December 1, 2018
ISSN: 0022-1694
e-ISSN: 1879-2707
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN63098
Funding Number(s)
CONTRACT_GRANT: 80NSSC18K0433
PROJECT: SCMD-EarthScienceSystem_389018
CONTRACT_GRANT: NNX12AP75G
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
GLDAS
global land surface models
rain gauges
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