Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4389-2023
https://doi.org/10.5194/essd-15-4389-2023
Data description paper
 | 
05 Oct 2023
Data description paper |  | 05 Oct 2023

Geospatial dataset for hydrologic analyses in India (GHI): a quality-controlled dataset on river gauges, catchment boundaries and hydrometeorological time series

Gopi Goteti

Viewed

Total article views: 1,414 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,024 334 56 1,414 31 43
  • HTML: 1,024
  • PDF: 334
  • XML: 56
  • Total: 1,414
  • BibTeX: 31
  • EndNote: 43
Views and downloads (calculated since 13 Jun 2023)
Cumulative views and downloads (calculated since 13 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,414 (including HTML, PDF, and XML) Thereof 1,386 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Altmetrics
Final-revised paper
Preprint