TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019) DOI Creative Commons
Shuai Li, Wei Wei, Yaning Chen

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 29, 2025

Due to scarcity of data and complex hydrological conditions in the Tianshan region, long-term complete streamflow are lacking. This study produced a multi-basin dataset, named watershed (TSWS) by comparing results Hydrologiska Byråns Vattenavdelning Long Short-Term Memory models, analyzed spatiotemporal variation streamflow.TSWS dataset provides daily for 56 watersheds monthly 89 Mountains 1901-2019. The simulations 40 (daily scale) 70 (monthly passed S-tests (Nash-Sutcliffe efficiency ≥0.5, percent bias ≤25%, ratio root-mean-square error standard deviation measured ≤0.7). showed an overall increasing trend streamflow, especially from 1990 2019; spatially, it higher west south, lower east north. first comprehensive simulation its long time series will provide important reference climatic studies.

Language: Английский

TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019) DOI Creative Commons
Shuai Li, Wei Wei, Yaning Chen

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 29, 2025

Due to scarcity of data and complex hydrological conditions in the Tianshan region, long-term complete streamflow are lacking. This study produced a multi-basin dataset, named watershed (TSWS) by comparing results Hydrologiska Byråns Vattenavdelning Long Short-Term Memory models, analyzed spatiotemporal variation streamflow.TSWS dataset provides daily for 56 watersheds monthly 89 Mountains 1901-2019. The simulations 40 (daily scale) 70 (monthly passed S-tests (Nash-Sutcliffe efficiency ≥0.5, percent bias ≤25%, ratio root-mean-square error standard deviation measured ≤0.7). showed an overall increasing trend streamflow, especially from 1990 2019; spatially, it higher west south, lower east north. first comprehensive simulation its long time series will provide important reference climatic studies.

Language: Английский

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