Climate Risk Management

Summary of research outputs used in this review.

Systematic review protocol and search strings used in this study.

Information on frequency, magnitude and seasonality of damage-inducing torrential flooding events from steep, alpine headwater catchments (torrents) in Austria, for the period from 1962 to 2017. The datasets are based on information from the Austrian torrential event catalogue. The frequency data set is complemented with information on the number of functional torrential structures (technical mitigation measures), the number of exposed buildings as well as a multitude of climate indices related to precipitation, snow melt and the sum of precipitation plus snowmelt. Annual aggregates are derived by using area-weighted means across all catchments.

Data set for paper titled "Spatial variability in regional scale drought index insurance viability across Australia’s wheat growing regions"

The objective of organizing this dataset was to measure farmers’ attitudes and assess determinants of adaptation to climate risks in East Africa. This dataset comprises information about farmers’ adaptation strategies to climate risks in four CCAFS sites in east Africa, namely Nyando, Kenya; Hoima, Uganda; Lushoto, Tanzania; and Borana, Ethiopia. Data were collected via personal interviews by trained enumerators using pre-designed and pre-tested questionnaires. The variables contained in the dataset come from a baseline survey that was conducted by the CGIAR program on Climate Change, Agriculture, and Food Security (CCAFS) in 2010 and a follow up survey by the International Center for Tropical Agriculture (CIAT) in 2012. The variables include farmer and household characteristics such as age, education, sex, household size; adaptation strategies, and assets index. The total sample size is 500 farming households.

The dataset includes tables of the 58 indicator datasets (dataset descriptions, data formats, links to publicly available data sources for producing GIS data layers).