Scientific Data (Sep 2023)

CA-discharge: Geo-Located Discharge Time Series for Mountainous Rivers in Central Asia

  • Beatrice Marti,
  • Andrey Yakovlev,
  • Dirk Nikolaus Karger,
  • Silvan Ragettli,
  • Aidar Zhumabaev,
  • Abdul Wakil Wakil,
  • Tobias Siegfried

DOI
https://doi.org/10.1038/s41597-023-02474-8
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 21

Abstract

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Abstract We present a collection of 295 gauge locations in mountainous Central Asia with norm discharge as well as time series of river discharge from 135 of these locations collected from hydrological yearbooks in Central Asia. Time series have monthly, 10-day and daily temporal resolution and are available for different duration. A collection of third-party data allows basin characterization for all gauges. The time series data is validated using standard quality checks. Norm discharge is validated against literature values and by using a water balance approach. The novelty of the data consists in the combination of discharge time series and gauge locations for mountainous rivers in Central Asia which is not available anywhere else. The geo-located discharge time series can be used for water balance modelling and training of forecast models for river runoff in mountainous Central Asia.