Summer Rainfall Scenarios and Climate Change Factor Projections over Wanzhou County, China

This dataset consists of rainfall scenarios and ensemble projections of extreme daily rainfall and mean summer season rainfall over Wanzhou County, China.

Precipitation Reference Period (1979-2018)

The reference scenario rainfall covers the period of 1979-2018, and is derived from the China Meteorological Forcing Dataset (https://data.tpdc.ac.cn/en/data/8028b944-daaa-4511-8769-965612652c49/). The extreme daily rainfall (in mm/day) is derived from Gumbel distributions fitted to monthly maximum daily rainfall covering the months of June to August. A spatial distribution of return periods from 2, 5, 10 20, 50 and 100 years for this scenario were derived and included in this dataset. The mean seasonal rainfall scenario covers the average daily rainfall (in mm/day) for the months of May to July to represent antecedent rainfall conditions of that could trigger shallow landslides during the summer season.

Spatial extent: Wanzhou County, China

Spatial Resolution: 0.1 degrees x 0.1 degrees

Time period: 1979-2018

Data Format: .csv files (.xyz file extensions)

Variable: Rainfall (pr)

Units: mm/day 

Ensemble Projections and Climate Change Factors

The ensemble climate change projections cover two periods: Mid-21st Century (2021-2060) and Late-21st Century (2061-2100). The influence of climate change is assessed through climate change factors that represent a multiplicative factor of change between present and future climate model outputs. The ensemble projections are the mean climate change factor derived from four bias-corrected Regional Climate Model outputs. The ensemble consisted of the results REMO2015 and RegCM4 models that dynamically downscaled HadGEM2-ES, MPI-ESM-ML, and MPI-ESM-MR model outputs (https://esgf-data.dkrz.de/search/cordex-dkrz/). The bias correction was performed using the quantile delta method. An empirical transfer function for daily rainfall was used to derive the mean seasonal rainfall scenario, while a parametric (Gumbel distribution) transfer function was used to derive on the monthly maxima for the extreme daily rainfall scenarios.

Spatial extent: Wanzhou County, China

Spatial Resolution: 0.22 degrees x 0.22 degrees

Time periods: Mid-21st Century (2021-2060) & Late-21st Century (2061-2100)

Data Format: .csv files

Variable: Climate Change Factor (ccf)

Unit: Dimensionless

Included ensemble projection statistics:

Standard deviation (sd)

Coefficient of Variation (cv)