Arizona Large Sample Hydrology Data (1950–2023)

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Authors: Kshitij Dahal, Saurav Kumar
Cited by: 0

Abstract

Arizona Large Sample Hydrology Data provides daily hydrometeorological time series derived from ERA5-Land, observed streamflow, static basin attributes, and basin shapefiles for 315 Arizona basins spanning 1950–2023. The dataset is designed for large-sample hydrology and deep learning–based streamflow modeling, including LSTM and Transformer architectures.

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
5 February 2026
Document type
Dataset