• Sorted by Date • Sorted by Last Name of First Author •
Nawaz, Ayesha, Alfio, Maria Rosaria, Casarci, Maurizio, DanieleFiorese, Gaetano, Hoteit, Hussein, and Balacco, Gabriella, 2026. Integrating Meteorological and GRACE–Based Indices to Assess Groundwater Drought Under Climate Change in Data–Scarce Mediterranean Basins. Earth Systems and Environment, .
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026ESE...tmp...83N,
author = {{Nawaz}, Ayesha and {Alfio}, Maria Rosaria and {Casarci}, Maurizio and {DanieleFiorese}, Gaetano and {Hoteit}, Hussein and {Balacco}, Gabriella},
title = "{Integrating Meteorological and GRACE-Based Indices to Assess Groundwater Drought Under Climate Change in Data-Scarce Mediterranean Basins}",
journal = {Earth Systems and Environment},
keywords = {Precipitation, Temperature, SPI, SPEI, GRACE, Future projection},
year = 2026,
month = feb,
abstract = "{Groundwater is a vital resource for socio-economic sustainability ye is
increasingly threatened by climate change and rising
anthropogenic pressures. Lebanon, and particularly the Al Assi
River Basin (ARB), experiences recurrent droughts, but limited
meteorological and groundwater observations hinder effective
water resources monitoring and management. This study employs
satellite-derived datasets to investigate the relationship
between hydrological and hydrogeological drought indicators
across Lebanon, with emphasis on the ARB. The Standardized
Precipitation Index (SPI) and the Standardized Precipitation and
Evapotranspiration Index (SPEI) were computed from CHIRPS
precipitation and CHIRTS-ERA5 temperature data at multiple
accumulation periods. Groundwater drought was quantified using
the Groundwater Drought Index (GGDI), derived from GRACE
terrestrial water storage anomalies. SPI, SPEI, and GGDI were
harmonized at a 10 km resolution, and correlation analyses,
including lagged correlations, were conducted to examine their
temporal relationship. Results show that SPEI at 18-month
accumulation exhibits the highest correlation with GGDI (R
{\ensuremath{\approx}} 0.70) at zero lag, reflecting the
response of the multi-layered ARB aquifer system. Future SPEI
projections were derived using bias-corrected outputs from the
CNRM-ALADIN53 regional climate model under RCP 4.5 and RCP 8.5
scenarios. Using the regression model resulting from the
strongest correlation, future GGDI projections were generated,
highlighting a progressive increase in drought-affected areas,
with the most severe groundwater deficits expected under RCP 8.5
by the late 21st century. These findings underscore the need for
integrated water-resource management that combines climate-
informed planning, satellite-based monitoring, and strengthened
in-situ hydrogeological networks to improve resilience to future
climatic extremes in data-scarce regions.}",
doi = {10.1007/s41748-026-01085-8},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026ESE...tmp...83N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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