CCAM: China Catchment Attributes and Meteorology dataset

<p>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 cov...

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Autores principales:	Z. Hao, J. Jin, R. Xia, S. Tian, W. Yang, Q. Liu, M. Zhu, T. Ma, C. Jing, Y. Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Environmental sciences GE1-350 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/593454c9e9c14ca2a1b8a3a48b125049
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spelling	oai:doaj.org-article:593454c9e9c14ca2a1b8a3a48b1250492021-12-03T15:49:15ZCCAM: China Catchment Attributes and Meteorology dataset10.5194/essd-13-5591-20211866-35081866-3516https://doaj.org/article/593454c9e9c14ca2a1b8a3a48b1250492021-12-01T00:00:00Zhttps://essd.copernicus.org/articles/13/5591/2021/essd-13-5591-2021.pdfhttps://doaj.org/toc/1866-3508https://doaj.org/toc/1866-3516<p>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 <a href="https://doi.org/10.5281/zenodo.5729444">https://doi.org/10.5281/zenodo.5729444</a> (Zhen et al., 2021). In addition, the accompanying code used to generate the dataset is freely available at <span class="uri">https://github.com/haozhen315/CCAM-China-Catchment-Attributes-and-Meteorology-dataset</span> (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.</p>Z. HaoJ. JinJ. JinR. XiaS. TianW. YangQ. LiuM. ZhuT. MaC. JingY. ZhangCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENEarth System Science Data, Vol 13, Pp 5591-5616 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Geology QE1-996.5
spellingShingle	Environmental sciences GE1-350 Geology QE1-996.5 Z. Hao J. Jin J. Jin R. Xia S. Tian W. Yang Q. Liu M. Zhu T. Ma C. Jing Y. Zhang CCAM: China Catchment Attributes and Meteorology dataset
description	<p>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 <a href="https://doi.org/10.5281/zenodo.5729444">https://doi.org/10.5281/zenodo.5729444</a> (Zhen et al., 2021). In addition, the accompanying code used to generate the dataset is freely available at <span class="uri">https://github.com/haozhen315/CCAM-China-Catchment-Attributes-and-Meteorology-dataset</span> (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.</p>
format	article
author	Z. Hao J. Jin J. Jin R. Xia S. Tian W. Yang Q. Liu M. Zhu T. Ma C. Jing Y. Zhang
author_facet	Z. Hao J. Jin J. Jin R. Xia S. Tian W. Yang Q. Liu M. Zhu T. Ma C. Jing Y. Zhang
author_sort	Z. Hao
title	CCAM: China Catchment Attributes and Meteorology dataset
title_short	CCAM: China Catchment Attributes and Meteorology dataset
title_full	CCAM: China Catchment Attributes and Meteorology dataset
title_fullStr	CCAM: China Catchment Attributes and Meteorology dataset
title_full_unstemmed	CCAM: China Catchment Attributes and Meteorology dataset
title_sort	ccam: china catchment attributes and meteorology dataset
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/593454c9e9c14ca2a1b8a3a48b125049
work_keys_str_mv	AT zhao ccamchinacatchmentattributesandmeteorologydataset AT jjin ccamchinacatchmentattributesandmeteorologydataset AT jjin ccamchinacatchmentattributesandmeteorologydataset AT rxia ccamchinacatchmentattributesandmeteorologydataset AT stian ccamchinacatchmentattributesandmeteorologydataset AT wyang ccamchinacatchmentattributesandmeteorologydataset AT qliu ccamchinacatchmentattributesandmeteorologydataset AT mzhu ccamchinacatchmentattributesandmeteorologydataset AT tma ccamchinacatchmentattributesandmeteorologydataset AT cjing ccamchinacatchmentattributesandmeteorologydataset AT yzhang ccamchinacatchmentattributesandmeteorologydataset
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CCAM: China Catchment Attributes and Meteorology dataset

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