Results 1 to 10 of about 20,550 (146)
TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019) [PDF]
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
Shuai Li+4 more
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High-resolution gridded streamflow data for Ganges-Brahmaputra-Meghna River Basins in Bangladesh (1951–2023) [PDF]
A 9-km daily gridded streamflow dataset is generated using the Variable Infiltration Capacity-River Routing Model (VIC-RRM) across the Ganges-Brahmaputra-Meghna River basins over 1951–2023, forced by the ERA5-Land reanalysis data for naturalized ...
Byeong-Hee Kim+2 more
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Direct vegetation response to recent CO2 rise shows limited effect on global streamflow [PDF]
Global streamflow, crucial for ecology, agriculture, and human activities, can be influenced by elevated atmospheric CO2 (eCO2) though direct regulation of vegetation physiology and structure, which can either decrease or increase streamflow.
Haoshan Wei+6 more
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A global algorithm for identifying changing streamflow regimes: application to Canadian natural streams (1966–2010) [PDF]
Climate change affects natural streamflow regimes globally. To assess alterations in streamflow regimes, typically temporal variations in one or a few streamflow characteristics are taken into account.
M. Zaerpour+3 more
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A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022) [PDF]
With the booming big data techniques, large-sample hydrological analysis on streamflow regime is becoming feasible, which could derive robust conclusions on hydrological processes from a big-picture perspective.
X. Chen+4 more
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The interpretation of deep learning (DL) hydrological models is a key challenge in data-driven modeling of streamflow, as the DL models are often seen as “black box” models despite often outperforming process-based models in streamflow prediction.
Sam Anderson, Valentina Radić
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This study evaluates the relationship between flow variability of unregulated and regulated streamflow stations and global climate indicators. Mann–Kendall and change-point analysis is applied to investigate the gradual and abrupt changes in streamflow ...
Tarun Pant+2 more
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The spatiotemporal hydrologic variability over different regions of the contiguous United States poses the risk of droughts and floods. Understanding the historic variations in streamflow can help in accessing future hydrologic conditions.
Balbhadra Thakur+4 more
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Accounting for Temporal Variability of Streamflow in Estimates of Travel Time
Retention, processing, and transport of solutes and particulates in stream corridors are influenced by the travel time of streamflow through stream channels, which varies dynamically with discharge.
Christopher P. Konrad+6 more
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Given the reported increasing trends in high Asian streamflow and rapidly increasing water demand in the Indian subcontinent, it is necessary to understand the long‐term changes and mechanisms of snow- and glacier-melt-driven streamflow in this area ...
Feng Chen+7 more
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