Academic Journal

CCAM: China Catchment Attributes and Meteorology dataset

التفاصيل البيبلوغرافية
العنوان: CCAM: China Catchment Attributes and Meteorology dataset
المؤلفون: Z. Hao, J. Jin, R. Xia, S. Tian, W. Yang, Q. Liu, M. Zhu, T. Ma, C. Jing, Y. Zhang
المصدر: Earth System Science Data, Vol 13, Pp 5591-5616 (2021)
بيانات النشر: Copernicus Publications, 2021.
سنة النشر: 2021
المجموعة: LCC:Environmental sciences
LCC:Geology
مصطلحات موضوعية: Environmental sciences, GE1-350, Geology, QE1-996.5
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1866-3508
1866-3516
Relation: https://essd.copernicus.org/articles/13/5591/2021/essd-13-5591-2021.pdf; https://doaj.org/toc/1866-3508; https://doaj.org/toc/1866-3516
DOI: 10.5194/essd-13-5591-2021
URL الوصول: https://doaj.org/article/593454c9e9c14ca2a1b8a3a48b125049
رقم الانضمام: edsdoj.593454c9e9c14ca2a1b8a3a48b125049
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18663508
18663516
DOI:10.5194/essd-13-5591-2021