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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-46', Anonymous Referee #1, 03 Jul 2023
    • AC2: 'Reply on RC1', Gopi Goteti, 15 Jul 2023
  • RC2: 'Comment on essd-2023-46', Anonymous Referee #2, 04 Jul 2023
    • AC1: 'Reply on RC2', Gopi Goteti, 15 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Gopi Goteti on behalf of the Authors (23 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Aug 2023) by Yuanzhi Yao
AR by Gopi Goteti on behalf of the Authors (03 Sep 2023)  Manuscript 
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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.
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