Mon Oct 13, F. Flechtner
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Satish Kumar, Kuruva, AnandRaj, Pallakury, Sreelatha, Koppala, Bisht, Deepak Singh, and Sridhar, Venkataramana, 2021. Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins. Climate, 9(4):56, doi:10.3390/cli9040056.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2021Clim....9...56S,
author = {{Satish Kumar}, Kuruva and {AnandRaj}, Pallakury and {Sreelatha}, Koppala and {Bisht}, Deepak Singh and {Sridhar}, Venkataramana},
title = "{Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins}",
journal = {Climate},
keywords = {GRACE, GGDI, drought, wavelet coherence, teleconnections},
year = 2021,
month = apr,
volume = {9},
number = {4},
eid = {56},
pages = {56},
abstract = "{Traditional drought monitoring is based on observed data from both
meteorological and hydrological stations. Due to the scarcity of
station observation data, it is difficult to obtain accurate
drought distribution characteristics, and also tedious to
replicate the large-scale information of drought. Thus, Gravity
Recovery and Climate Experiment (GRACE) data are utilized in
monitoring and characterizing regional droughts where ground
station data is limited. In this study, we analyzed and assessed
the drought characteristics utilizing the GRACE Groundwater
Drought Index (GGDI) over four major river basins in India
during the period of 2003-2016. The spatial distribution,
temporal evolution of drought, and trend characteristics were
analyzed using GGDI. Then, the relationship between GGDI and
climate factors were evaluated by the method of wavelet
coherence. The results indicate the following points: GRACE's
quantitative results were consistent and robust for drought
assessment; out of the four basins, severe drought was noticed
in the Cauvery river basin between 2012 and 2015, with severity
of -27 and duration of 42 months; other than Godavari river
basin, the remaining three basins displayed significant negative
trends at monthly and seasonal scales; the wavelet coherence
method revealed that climate factors had a substantial effect on
GGDI, and the impact of Southern Oscillation Index (SOI) on
drought was significantly high, followed by Sea Surface
Temperature (SST) Index (namely, NINO3.4) and Multivariate El
Ni{\~n}o-Southern Oscillation Index (MEI) in all the basins.
This study provides reliable and robust quantitative result of
GRACE water storage variations that shares new insights for
further drought investigation.}",
doi = {10.3390/cli9040056},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021Clim....9...56S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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