Comment on visuals and color maps Article Swipe
Zhen Hao
,
Jin Jin
,
Runliang Xia
,
Shimin Tian
,
Wushuang Yang
,
Qixing Liu
,
Min Zhu
,
Tao Ma
,
Chengran Jing
,
Yanning Zhang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5194/essd-2021-71-cc1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5194/essd-2021-71-cc1
Abstract. The absence of a compiled large-scale catchment characteristics dataset is a key obstacle limiting the development of large-sample hydrology research in China. We introduce the first large-scale catchment attribute dataset in China. We compiled diverse data sources, including soil, land cover, climate, topography, and geology, to develop the dataset. The dataset also includes catchment-scale 31-year meteorological time series from 1990 to 2020 for each basin. Potential evapotranspiration time series based on Penman's equation are derived for each basin. The 4911 catchments included in the dataset cover all of China. We introduced several new indicators that describe the catchment geography and the underlying surface differently from previously proposed datasets. The resulting dataset has a total of 125 catchment attributes and includes a separate HydroMLYR (hydrology dataset for machine learning in the Yellow River Basin) dataset containing standardized weekly averaged streamflow for 102 basins in the Yellow River Basin. The standardized streamflow data should be able to support machine learning hydrology research in the Yellow River Basin. The dataset is freely available at https://doi.org/10.5281/zenodo.5729444 (Zhen et al., 2021). In addition, the accompanying code used to generate the dataset is freely available at https://github.com/haozhen315/CCAM-China-Catchment-Attributes-and-Meteorology-dataset (last access: 26 November 2021) and supports the generation of catchment characteristics for any custom basin boundaries. Compiled data for the 4911 basins covering all of China and the open-source code should be able to support the study of any selected basins rather than being limited to only a few basins.
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Metadata
- Type
- peer-review
- Language
- en
- Landing Page
- https://doi.org/10.5194/essd-2021-71-cc1
- OA Status
- gold
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4255534652
All OpenAlex metadata
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https://openalex.org/W4255534652Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/essd-2021-71-cc1Digital Object Identifier
- Title
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Comment on visuals and color mapsWork title
- Type
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peer-reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-05-04Full publication date if available
- Authors
-
Zhen Hao, Jin Jin, Runliang Xia, Shimin Tian, Wushuang Yang, Qixing Liu, Min Zhu, Tao Ma, Chengran Jing, Yanning ZhangList of authors in order
- Landing page
-
https://doi.org/10.5194/essd-2021-71-cc1Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/essd-2021-71-cc1Direct OA link when available
- Concepts
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Drainage basin, Streamflow, Structural basin, Evapotranspiration, China, Land cover, Scale (ratio), Hydrology (agriculture), Physical geography, Environmental science, Geography, Geology, Cartography, Land use, Geomorphology, Archaeology, Civil engineering, Engineering, Biology, Ecology, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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47Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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