CCAM: China Catchment Attributes and Meteorology dataset
Authors/Creators
- 1. Yellow River Institute of Hydraulic Research
- 2. School of Computer Science, Northwestern Polytechnical University
Description
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
It supports generating 120+ basin attributes for each basin given a single or several basin boundaries.
######################################################################
Files
0_catchment_boundary.zip
Files
(3.7 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:d625954b076e21851770223b79191637
|
18.1 MB | Preview Download |
|
md5:7a78c33fb5d1d7ad66ca6c47adad817f
|
3.6 GB | Preview Download |
|
md5:32022e09d25a5ad8f7ce00eb54f70ff3
|
1.0 MB | Preview Download |
|
md5:1ca4fa2ba101a6ec7836191a540cca98
|
1.3 MB | Preview Download |
|
md5:a2e654ef01ba3c1c6cd2089c21550e02
|
841.2 kB | Preview Download |
|
md5:1dd758bf180778a5bca1ad5e42cc3074
|
1.5 MB | Preview Download |
|
md5:fd34372124e8ad606a5a0f93eedb391e
|
4.8 MB | Preview Download |
|
md5:b0e1b8e356849bf30366fb9f0e2c55b3
|
86.1 MB | Preview Download |
|
md5:3f9a82980b54ed87d8ac84cbe53f2461
|
14.7 kB | Download |
|
md5:c95ad1caf26805f3b86ed471d363a1fe
|
1.8 kB | Preview Download |