Preprints
https://doi.org/10.5194/essd-2021-71
https://doi.org/10.5194/essd-2021-71

  21 Apr 2021

21 Apr 2021

Review status: this preprint is currently under review for the journal ESSD.

Catchment attributes and meteorology for large sample study in contiguous China

Zhen Hao2, Jin Jin1,2, Runliang Xia2, Shimin Tian2, Wushuang Yang2, Qixing Liu2, Min Zhu2, Tao Ma2, and Chengran Jing2 Zhen Hao et al.
  • 1School of Computer Science, Northwestern Polytechnical University, Xi’an, China, 710072
  • 2Yellow River Institute of Hydraulic Research, Zhengzhou, China, 450003

Abstract. We introduce the first large-scale catchment attributes and meteorological time series dataset of contiguous China. To develop the dataset, we compiled diverse data sources to generate basin-oriented features describing the characteristics of the catchment related to hydrological processes. The proposed dataset consists of catchment characteristics including soil, land cover, climate, topography, geology, and 29-year meteorological time series (from 1990 to 2018). The meteorological variables include precipitation, temperature, evapotranspiration, wind speed, ground surface temperature, pressure, humidity and sunshine duration. We also derived a daily potential evapotranspiration time series based on a modified Penman’s equation. The studied catchments are 4875 catchments within contiguous China derived from digital elevation models. The spatial variations of catchment characteristics are analysed and organized into a series of maps; the correlation analysis between attributes was conducted. Compared to the previously proposed datasets, we derived more catchment characteristics resulting in a total of 127 attributes, providing a complete description of the catchments. Besides, we propose Normal-Camels-YR, a hydrological dataset covering 102 basins of the Yellow River basin with normalized streamflow observations. The proposed dataset provides numerous opportunities for comparative hydrological research, such as examining the difference in hydrological behaviours across different catchments and building general rainfall-runoff modelling frameworks for many catchments instead of limited to a few. The dataset is freely available via http://doi.org/10.5281/zenodo.4704017 for community use. We will open-source the complement code for generating the dataset such that the user can generate meteorological series and catchment attributes for any watershed
within contiguous China.

Zhen Hao et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on visuals and color maps', Michael Stoelzle, 04 May 2021
    • AC2: 'Reply on CC1', Zhen Hao, 01 Jun 2021
  • RC1: 'Comment on essd-2021-71', Anonymous Referee #1, 01 Jun 2021
    • AC1: 'Reply on RC1', Zhen Hao, 01 Jun 2021
    • AC6: 'Point-by-point reply to Referee 1', Zhen Hao, 16 Aug 2021
  • AC3: 'Comment on essd-2021-71', Zhen Hao, 21 Jun 2021
    • AC4: 'Reply on AC3', Zhen Hao, 22 Jun 2021
  • RC2: 'Comment on essd-2021-71', Anonymous Referee #2, 07 Jul 2021
    • AC7: 'Point-by-point reply to Referee 2', Zhen Hao, 16 Aug 2021
  • AC5: 'Author's general response', Zhen Hao, 10 Aug 2021
  • AC8: 'Update on SURF_CLI_CHN_MUL_DAY', Zhen Hao, 06 Sep 2021

Zhen Hao et al.

Data sets

Catchment attributes and meteorology for large sample study in contiguous China (Version 1.5) Zhen Hao, Jin Jin, Runliang Xia, Shimin Tian, & Wushuang Yang http://doi.org/10.5281/zenodo.4704017

Zhen Hao et al.

Viewed

Total article views: 808 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
586 192 30 808 40 10 9
  • HTML: 586
  • PDF: 192
  • XML: 30
  • Total: 808
  • Supplement: 40
  • BibTeX: 10
  • EndNote: 9
Views and downloads (calculated since 21 Apr 2021)
Cumulative views and downloads (calculated since 21 Apr 2021)

Viewed (geographical distribution)

Total article views: 690 (including HTML, PDF, and XML) Thereof 690 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Oct 2021
Download
Short summary
Our work has two main contributions: First, we propose the first catchment attributes and meteorological time series dataset of contiguous China, the meteorological variables include precipitation, temperature, evapotranspiration, etc.; Second, we offer Normal-Camels-YR, a hydrological dataset covering 102 basins of the Yellow River basin with normalized streamflow observations. The proposed two datasets should be able to support numerous hydrological research of China and the Yellow River.