Compound Extremes and Resilience in Ken-Betwa River Catchments, Central India

Ken and Betwa River catchments in Central India are the focus of this study on hydroclimatic hazards. The dataset, authored by Amit Kumar and last updated in April 2026, examines the spatio-temporal variability of compound extreme events like warm-dry conditions over four decades. It includes a Composite Resilience Index (CRI) developed at the district level to assess socio-economic vulnerability.

Use Cases

• Analyze trends in compound warm-dry extremes based on rainfall and temperature variability mentioned in the description
• Model the drivers of compound events based on factors like wind patterns and convective inhibition energy (CIN)
• Assess district-level socio-economic resilience based on the Composite Resilience Index (CRI) integrating HDI, MPI, and literacy rates
• Investigate correlations between rainfall suppression and rising temperatures in semi-arid catchments

Strengths

• Analysis spans four decades of climate data for two river catchments
• Includes a Composite Resilience Index (CRI) with multiple socio-economic indicators at the district level
• Released under a CC-BY-4.0 license for open use

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is contained within a 5.8 MB PDF, which may require extraction

Provenance

Source

figshare

Collection Method

Likely contains analysis of observed climate data and derived socio-economic indices, as described in the study.

Time Range

Analysis covers the past four decades, with a noted post-2000 drying trend.

Freshness

Last updated 2026-04-13 09:10:00; freshness should be verified

Geography

Semi-arid Ken and Betwa River catchments in Central India, with district-level analysis for Ashoknagar, Shivpuri, Lalitpur, Chhatarpur, Bhopal, Sagar, Jhansi, and Hamirpur.