the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2021)
Xinyu Chen
Yuning Luo
Junguo Liu
Abstract. 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. However, there is not a comprehensive global large-sample dataset for components of the streamflow regime yet. This paper presents a new time series dataset on global streamflow indices calculated from daily streamflow records after data quality control. The dataset contains 79 indices over seven major components of streamflow regime (i.e., magnitude, frequency, duration, changing rate, timing, variability, and recession) of 5548 river reaches globally. The indices time series in the dataset are available until 2021, the lengths of which vary from 30 to 215 years with an average of around 66 years. Restricted-access streamflow data of typical river basins in China are included in the dataset. Compared to existing global datasets, this global dataset covers more indices, especially those characterizing the frequency, duration, changing rate, and recession of streamflow regime. With the dataset, research on streamflow regime will become easier without spending time handling raw streamflow records. This comprehensive dataset will be a valuable resource to the hydrology community to facilitate a wide range of studies, such as studies of hydrological behaviour of a catchment, streamflow regime prediction in data-scarce regions, as well as variations in streamflow regime from a global perspective.
Xinyu Chen et al.
Status: open (until 01 May 2023)
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RC1: 'Comment on essd-2023-49', Ionut Cristi Nicu, 13 Mar 2023
reply
The manuscript essd-2023-49 presents very interesting and up-to-date (2021) streamflow indices for 5548 rivers at a global level. The dataset is highly needed in light of future estimations of hydrological regimes of big rivers, soil erosion, etc. At this stage, I recommend some Minor Revisions. The manuscript needs to be seen by a native English speaker. Below, I highlighted some points to be corrected by the authors:
Abstract: as far as I know, the link to the dataset should be added here
L12-13: correct would be “…there is a lack of a comprehensive…”
L26-27: I think soil erosion could be easily added here
L67: “it is without doubt…” please, rephrase
L187: please, explain why
Fig. 5a. If you could make a zoom on Europe and then add it to the figure, that would be perfect. As many data overlap, would be nice if the reader could see the whole data only for Europe
Section 6 as a whole is more than welcome and could be further developed
L303: a few more details could be offered here, on the direction of future studies that could use this dataset to focus on more specific hydrological issues at a local to regional scale
Citation: https://doi.org/10.5194/essd-2023-49-RC1
Xinyu Chen et al.
Data sets
A global streamflow indices time series dataset Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu https://www.scidb.cn/en/s/2AFfi2
Xinyu Chen et al.
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