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Bibi, Sadia, Zhu, Tingju, Rateb, Ashraf, Scanlon, Bridget R., Aqeel Kamran, Muhammad, Elnashar, Abdelrazek, Bennour, Ali, and Li, Ci, 2024. Benchmarking Multimodel Terrestrial Water Storage Seasonal Cycle Against Gravity Recovery And Climate Experiment (Grace) Observations Over Major Global River Basins. Hydrology and Earth System Sciences, 28:1725–1750, doi:10.5194/hess-28-1725-2024.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024HESS...28.1725B,
author = {{Bibi}, Sadia and {Zhu}, Tingju and {Rateb}, Ashraf and {Scanlon}, Bridget R. and {Aqeel Kamran}, Muhammad and {Elnashar}, Abdelrazek and {Bennour}, Ali and {Li}, Ci},
title = "{Benchmarking Multimodel Terrestrial Water Storage Seasonal Cycle Against Gravity Recovery And Climate Experiment (Grace) Observations Over Major Global River Basins}",
journal = {Hydrology and Earth System Sciences},
year = 2024,
month = apr,
volume = {28},
pages = {1725-1750},
abstract = "{The increasing reliance on global models for evaluating climate- and
human-induced impacts on the hydrological cycle underscores the
importance of assessing the models' reliability. Hydrological
models provide valuable data on ungauged river basins or basins
with limited gauge networks. The objective of this study was to
evaluate the reliability of 13 global models using the Gravity
Recovery and Climate Experiment (GRACE) satellite's total water
storage (TWS) seasonal cycle for 29 river basins in different
climate zones. Results show that the simulated seasonal total
water storage change (TWSC) does not compare well with GRACE
even in basins within the same climate zone. The models
overestimated the seasonal peak in most boreal basins and
underestimated it in tropical, arid, and temperate zones. In
cold basins, the modeled phase of TWSC precedes that of GRACE by
up to 2-3 months. However, it lagged behind that of GRACE by 1
month over temperate and arid to semi-arid basins. The phase
agreement between GRACE and the models was good in the tropical
zone. In some basins with major underlying aquifers, those
models that incorporate groundwater simulations provide a better
representation of the water storage dynamics. With the findings
and analysis of our study, we concluded that R2 (Water Resource
Reanalysis tier 2 forced with Multi-Source Weighted Ensemble
Precipitation (MSWEP) dataset) models with optimized
parameterizations have a better correlation with GRACE than the
reverse scenario (R1 models are Water Resource Reanalysis tier 1
and tier 2 forced with the ERA-Interim (WFDEI) meteorological
reanalysis dataset). This signifies an enhancement in the
predictive capability of models regarding the variability of
TWSC. The seasonal peak, amplitude, and phase difference
analyses in this study provide new insights into the future
improvement of large-scale hydrological models and TWS
investigations.}",
doi = {10.5194/hess-28-1725-2024},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024HESS...28.1725B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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