TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019)

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

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Publication Details

Journal
Scientific Data
Published
2025-04-29
DOI
https://doi.org/10.1038/s41597-025-05046-0
Citations
4
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
3.27
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article

TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019)

Gonghuan Fang, Weili Duan, Wei Wei, Shuai Li et al.
4 citations
Scientific Data
Hydrology and Watershed Management Studies
3.27
article

TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019)

Gonghuan Fang, Weili Duan, Wei Wei, Shuai Li, Yaning Chen
article en
4 citations

Abstract

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

Scientific DataVol. 12(1)
Barcelona Supercomputing Center (ES), Institute of Ecology and Geography (MD), Xinjiang Institute of Ecology and Geography (CN), University of Chinese Academy of Sciences (CN), Universitat Politècnica de Catalunya (ES)
Climate action
Openalex Percentile: Top 9%
Hydrology and Watershed Management Studies
3.27
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