Filling Streamflow Data Gaps in Indian Catchments Using Machine Learning and K-means Clustering

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Hiren Solanki, Vimal Mishra
DOI: 10.5281/zenodo.18613692
Cited by: 0

Abstract

This repository contains the dataset used to generate the main figures and analyses for our manuscript titled "Filling Streamflow Data Gaps in Indian Catchments Using Machine Learning and K-means Clustering", currently under revision at Water Resources Research (WRR). Additionally, we have included the raw streamflow and water level data downloaded from India-WRIS (https://indiawris.gov.in/wris/#/timeseriesdata). These are provided due to frequent domain changes and instability on the India-WRIS website, ensuring long-term accessibility for reproducibility.

Fields of Study & Subjects

Hydrological Forecasting Using AI Hydrology and Watershed Management Studies Environmental Monitoring and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN
Document type
Dataset