Introducing CAMELS-IND: A Hydrometeorological and Catchment Attributes Dataset for Peninsular India

Event

Side Event

Introducing CAMELS-IND: A Hydrometeorological and Catchment Attributes Dataset for Peninsular India

About Event:

Monday October 06, 2025 (18:00-19:30) Timing (IST)

This side event will introduce the CAMELS-IND dataset, a comprehensive hydrometeorological time series and catchment attribute resource from catchments in Peninsular India, with a focus on the 228 catchments containing observed streamflow records for more than 30% of the period 1980–2020. CAMELS-IND provides 19 meteorological variables, 211 catchment attributes, and incorporates both observed and LSTM-predicted streamflow data, making it a valuable asset for large-scale hydrological studies, water management, and climate impact assessments in India.

The session will cover:
  • Overview and motivation behind the creation of CAMELS-IND dataset.
  • Illustration of the data structure of CAMELS-IND
  • Hands-on analyses enabled by CAMELS-IND, including regional hydrology, human influences, and benchmarking models
  • Live demonstration: accessing and visualizing the data
  • Q&A and discussion on future research possibilities and collaborations
Prerequisites:
  • Basic knowledge of hydrology, hydrometeorology, or water resources
  • Familiarity with data analysis tools (e.g., Python/R) is helpful but not mandatory
Focus Group:
  • Hydrologists, water resources engineers, and researchers
  • Climate scientists and environmental data analysts
  • Graduate students and early-career researchers in related fields
  • Policymakers and practitioners interested in Indian hydrology and water management
Expert Name:
  • Prof. Ashutosh Sharma, Department of Hydrology, Indian Institute of Technology Roorkee, Email: ashutosh.sharma@hy.iitr.ac.in
  • Dr. Pankaj Dey, Department of Hydrology, Indian Institute of Technology Roorkee, Email: pankaj.hy@sric.iitr.ac.in
  • Nikunj K. Mangukiya, Department of Hydrology, Indian Institute of Technology Roorkee, Email: nikunj_m@hy.iitr.ac.in

Event organizer

Ashutosh

Prof. Ashutosh Sharma

Department of Hydrology, Indian Institute of Technology Roorkee

Event organizer

pankaj

Dr. Pankaj Dey

Department of Hydrology, Indian Institute of Technology Roorkee
Guidelines, if any:
  • Participants are encouraged to bring laptops for hands-on exploration of the dataset
  • Prior registration is recommended due to limited seats
  • No prior coding experience required, but familiarity with datasets and basic statistics will be beneficial
Any Other Relevant Information:

Maximum Number of Participants: 40