Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins

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....

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Main Authors: K Satish Kumar, P AnandRaj, K Sreelatha, Deepak Singh Bisht, Venkataramana Sridhar
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Climate
Subjects:
Online Access:https://www.mdpi.com/2225-1154/9/4/56
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spelling doaj-f7d94cb67f8c41748852d66afc39f9912021-04-03T23:02:37ZengMDPI AGClimate2225-11542021-04-019565610.3390/cli9040056Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River BasinsK Satish Kumar0P AnandRaj1K Sreelatha2Deepak Singh Bisht3Venkataramana Sridhar4Department of Civil Engineering, National Institute of Technology, Warangal 506002, IndiaDepartment of Civil Engineering, National Institute of Technology, Warangal 506002, IndiaDepartment of Civil Engineering, National Institute of Technology, Warangal 506002, IndiaNational Institute of Hydrology, Roorkee 247667, IndiaDepartment of Biological Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USATraditional 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 Niño–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.https://www.mdpi.com/2225-1154/9/4/56GRACEGGDIdroughtwavelet coherenceteleconnections
collection DOAJ
language English
format Article
sources DOAJ
author K Satish Kumar
P AnandRaj
K Sreelatha
Deepak Singh Bisht
Venkataramana Sridhar
spellingShingle K Satish Kumar
P AnandRaj
K Sreelatha
Deepak Singh Bisht
Venkataramana Sridhar
Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins
Climate
GRACE
GGDI
drought
wavelet coherence
teleconnections
author_facet K Satish Kumar
P AnandRaj
K Sreelatha
Deepak Singh Bisht
Venkataramana Sridhar
author_sort K Satish Kumar
title Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins
title_short Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins
title_full Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins
title_fullStr Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins
title_full_unstemmed Monthly and Seasonal Drought Characterization Using GRACE-Based Groundwater Drought Index and Its Link to Teleconnections across South Indian River Basins
title_sort monthly and seasonal drought characterization using grace-based groundwater drought index and its link to teleconnections across south indian river basins
publisher MDPI AG
series Climate
issn 2225-1154
publishDate 2021-04-01
description 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 Niño–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.
topic GRACE
GGDI
drought
wavelet coherence
teleconnections
url https://www.mdpi.com/2225-1154/9/4/56
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