• Sorted by Date • Sorted by Last Name of First Author •
Yoshe, Agegnehu Kitanbo, 2024. Water availability identification from GRACE dataset and GLDAS hydrological model over data-scarce river basins of Ethiopia. Hydrological Sciences Journal, 69(6):721–745, doi:10.1080/02626667.2024.2333852.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024HydSJ..69..721Y,
author = {{Yoshe}, Agegnehu Kitanbo},
title = "{Water availability identification from GRACE dataset and GLDAS hydrological model over data-scarce river basins of Ethiopia}",
journal = {Hydrological Sciences Journal},
keywords = {Liquid water equivalent, terrestrial water storage, climatic variable, spatiotemporal variation, GRACE, GLDAS},
year = 2024,
month = apr,
volume = {69},
number = {6},
pages = {721-745},
abstract = "{The nature of the heterogeneity of terrestrial water storage in the main
river basins of Ethiopia is poorly understood. In river basins,
measurements of terrestrial water storage changes are
exceedingly rare in all temporal dimensions. This study
investigates the spatiotemporal variation of water storage in
the main river basins of Ethiopia using the Gravity Recovery and
Climate Experiment (GRACE) with Global Land Data Assimilation
System (GLDAS). The results revealed significant variation in
liquid water equivalents from GRACE and terrestrial water
storage from GLDAS for each river basin, following a seasonal
pattern. I found that GRACE and GLDAS datasets can be combined
effectively to evaluate the long-term water storage in large-
scale basins with limited hydrological data, and the obtained
result provides a reliable outcome that will be essential for
the establishment of climate change adaptation pathways in the
future for essential water resource management and optimization.}",
doi = {10.1080/02626667.2024.2333852},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024HydSJ..69..721Y},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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