Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India
Nikunj K. Mangukiya
Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
Kanneganti Bhargav Kumar
Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, Karnataka, India
Pankaj Dey
Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
Shailza Sharma
Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, Karnataka, India
Vijaykumar Bejagam
Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
Pradeep P. Mujumdar
Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, Karnataka, India
Interdisciplinary Centre for Water Research, Indian Institute of Science, Bangalore, 560012, Karnataka, India
Ashutosh Sharma
CORRESPONDING AUTHOR
Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
International Centre of Excellence for Dams, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
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Cited
15 citations as recorded by crossref.
- Agricultural catchments exhibit enhanced climate and drought resilience compared to forested catchments in Peninsular India A. Singh & A. Sharma
- A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al.
- CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al.
- Hydrologically driven coordination of transboundary floods C. Cheng et al.
- Past and future change in global river flows L. Gudmundsson et al.
- Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al.
- Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics F. Clerc-Schwarzenbach & T. do Nascimento
- CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS V. Tran et al.
- Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany C. Lei et al.
- Multi-scenario assessment of climate change impacts on water resources (runoff and recharge) in the periyar river basin and their implications for sustainable water management A. Joseph et al.
- Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al.
- Does MC-LSTM model improve the reliability of streamflow prediction in human-influenced watersheds? G. Sahu et al.
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
- CAMELS-AUS v2: updated hydrometeorological time series and landscape attributes for an enlarged set of catchments in Australia K. Fowler et al.
- Season-Ahead Flood Quantile Forecasting with Climate-Informed Models for Indian Catchments A. Ganapathy et al.
15 citations as recorded by crossref.
- Agricultural catchments exhibit enhanced climate and drought resilience compared to forested catchments in Peninsular India A. Singh & A. Sharma
- A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al.
- CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al.
- Hydrologically driven coordination of transboundary floods C. Cheng et al.
- Past and future change in global river flows L. Gudmundsson et al.
- Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al.
- Evaluating E-OBS forcing data for large-sample hydrology using model performance diagnostics F. Clerc-Schwarzenbach & T. do Nascimento
- CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS V. Tran et al.
- Discharge-based classifications of spatio-temporal patterns of potentially gaining and losing subcatchments in the Bode River catchment, Central Germany C. Lei et al.
- Multi-scenario assessment of climate change impacts on water resources (runoff and recharge) in the periyar river basin and their implications for sustainable water management A. Joseph et al.
- Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al.
- Does MC-LSTM model improve the reliability of streamflow prediction in human-influenced watersheds? G. Sahu et al.
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
- CAMELS-AUS v2: updated hydrometeorological time series and landscape attributes for an enlarged set of catchments in Australia K. Fowler et al.
- Season-Ahead Flood Quantile Forecasting with Climate-Informed Models for Indian Catchments A. Ganapathy et al.
Saved (final revised paper)
Latest update: 10 May 2026
Short summary
We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), which provides daily hydrometeorological time series and static catchment attributes representing the location, topography, climate, hydrological signatures, land use, land cover, soil, geology, and anthropogenic influences for 472 catchments in Peninsular India to foster large-sample hydrological studies in India and promote the inclusion of Indian catchments in global hydrological research.
We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India),...
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