Litcius/Paper detail

CCAM: China Catchment Attributes and Meteorology dataset

Zhen Hao, Jin Jin, Runliang Xia, Shimin Tian, Wushuang Yang, Qixing Liu, Min Zhu, Tao Ma, Chengran Jing

2021Zenodo (CERN European Organization for Nuclear Research)12 citationsDOIOpen Access PDF

Abstract

This repository contains the dataset supporting the paper: CCAM: China Catchment Attributes and Meteorology dataset. It consists of two parts: CCAM: China Catchment Attributes and Meteorology dataset and HydroMLYR. The first dataset provides daily meteorological time series and 120+ attributes for 4911 catchments in China. The daily meteorological time series include (i) precipitation, (ii) temperature, (iii) evapotranspiration, (iv) wind speed, (v) ground surface temperature, (vi) pressure, (vii) humidity, (viii) sunshine duration and (ix) potential evapotranspiration. The catchment attributes include properties such as (i) topography, (ii) climate, (iii) hydrology, (iv) land cover, (v) geology, and (vi) soil. HydroMLYR provides daily meteorological time series, standardized weekly averaged streamflow and 120+ attributes for 102 catchments. Accompanying code: https://github.com/haozhen315/CCAM-China-Basin-Attributes-and-Meteorology-dataset The open-source code supports generating 120+ basin attributes for custom basins given a single or several basin boundaries. <em>(9_code_data.zip</em> contains part of the data that the user will need to run the code. Refer to the GitHub repository or paper for details.)

Topics & Concepts

ChinaMeteorologyGeographyDrainage basinClimatologyEnvironmental sciencePhysical geographyCartographyGeologyArchaeologyHydrology and Watershed Management Studies