Integrated GRACE and GLDAS for Estimating Groundwater Storage potential in Bankura Distric

Groundwater depletion in India's Bankura district averaged 0.35cm/year from November 2007 to January 2017. The study combines Gravity Recovery and Climate Experiment (GRACE) satellite data with Global Land Data Assimilation Systems (GLDAS) models to estimate groundwater storage changes. Author Srinivas Bankuru reports a correlation coefficient of 0.827 between observed and estimated groundwater changes.

Use Cases

• Modeling regional groundwater depletion trends based on GRACE and GLDAS data integration.
• Validating remote sensing-derived groundwater estimates against observed well data.
• Assessing the impact of irrigation and urbanization on groundwater storage in specific districts.
• Forecasting water sustainability risks using historical satellite-based groundwater time series.

Strengths

• Covers a specific 10-year period from November 2007 to January 2017.
• Integrates two established remote sensing systems: GRACE and GLDAS.
• Reports specific quantitative findings, including an average depletion rate of 0.35cm/year and a correlation coefficient of 0.827.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to a single district (Bankura) in West Bengal, India, which may limit generalizability.

Provenance

Source

paperswithcode

Collection Method

Remote sensing using GRACE satellite data combined with GLDAS land surface models.

Time Range

November 2007 to January 2017

Freshness

Last update date is unknown; freshness unverified.

Geography

Bankura District, West Bengal, India