Mon Oct 13, F. Flechtner
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Singh, Vishal, Nagale, Devendra Shashikant, Singh, Japjeet, Jain, Sanjay Kumar, and Dimri, A. P., 2025. Coupling of downscaled GRACE data with SPHY derived hydrological components to generate snow water equivalent in the Himalayan catchment. Advances in Space Research, 76(2):565–591, doi:10.1016/j.asr.2025.04.059.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025AdSpR..76..565S,
author = {{Singh}, Vishal and {Nagale}, Devendra Shashikant and {Singh}, Japjeet and {Jain}, Sanjay Kumar and {Dimri}, A.~P.},
title = "{Coupling of downscaled GRACE data with SPHY derived hydrological components to generate snow water equivalent in the Himalayan catchment}",
journal = {Advances in Space Research},
keywords = {Downscaling of GRACE, Himalayan cryosphere, Snow water equivalent, SPHY modeling, Snowmelt, glacier melt},
year = 2025,
month = jul,
volume = {76},
number = {2},
pages = {565-591},
abstract = "{This study demonstrated the applicability of Gravity Recovery and
Climate Experiment (GRACE) satellite data through the coupling
of multisource datasets in cryospheric and hydrological
assessments over the Himalayan basin. For this purpose, a
coupled modeling framework was developed using the fully
distributed Spatial Process in Hydrology (SPHY) model, forced by
real-time satellite and hydro-observation datasets. To reduce
uncertainty in the outcomes, a two-step calibration approach was
performed: (i) utilizing the observed discharge at two gauges,
namely Maneri and Rishikesh, and (ii) comparing the MODIS-
derived snow cover area (SCA) with the SPHY-derived SCA. The
observed versus modeled discharge was found to be comparable,
with the corresponding coefficient of determination (R$^{2}$)
recorded as 0.64 and 0.66 for Maneri and Rishikesh,
respectively. The seasonal snow cover computed by SPHY was
validated against MODIS snow cover maps, yielding a coefficient
of determination of 0.73 (2015). By analyzing the snow mass
loading and unloading using GRACE Total Water Storage Anomalies
(TWSA) and MODIS snow cover data, sixteen snow seasons (between
2002 and 2020) were identified in the snow-glacier-dominated
sub-basins of the Upper Ganga River. The snow water equivalent
(SWE) was computed after subtracting other hydrological/water-
balance components in these sub-basins. A spatial downscaling of
GRACE TWSA was performed utilizing the GLDAS variables, showing
significant improvement in the GRACE TWSA at a 0.25{\textdegree}
{\texttimes} 0.25{\textdegree} scale. The correlation analysis
showed a good match between GRACE and GLDAS variables (R$^{2}$
up to {\ensuremath{\sim}}0.7). The downscaled GRACE-TWSA was
compared with SPHY-TWSA and other cryospheric-hydrological
components at different stations, with results found to be
comparable. The results show that GRACE + SPHY SWE is comparable
to GLDAS SWE in upstream regions, though some discrepancies
exist downstream. For establishing the relationship between
GRACE TWSA and hydrological components, cryosphere and hydrology
variables such as snowmelt runoff, glacier melt runoff,
baseflow, and rainfall-runoff were successfully separated at
different stations (or sub-basins).}",
doi = {10.1016/j.asr.2025.04.059},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025AdSpR..76..565S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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