Data from the publication: Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya

doi:10.4121/19620357.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19620357
Datacite citation style:
Lam, Marleen; Odongo, Rhoda (2022): Data from the publication: Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19620357.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Wageningen University and Research logo
usage stats
924
views
1
citations
569
downloads
geolocation
Kenya, specifically the following counties: Baringo, Kitui, Kwale, Marsabit, Narok, Nyeri
time coverage
07/2013 - 12/2020
licence
cc-by.png logo CC BY 4.0

This dataset have been used to assess the relation between reported drought impacts, drought indices, water scarcity, and aridity across several counties in Kenya. We have collected monthly county-specific drought impact data from county-specific bulletins (County Early Warning Bulletins) of the National Drought Management Authority (NDMA) in Kenya. The following drought impact categories were considered: pasture, livestock deaths, milk production, crop losses, food insecurity, trekking distance for water, and malnutrition. Only days with drought impacts are considered in this datafile. In addition, the datafile contains information about several drought indicators (SPI, SPEI, SSMI and SSI), water scarcity information (Classification) and Drought_phase and Rainfall information (according to the NDMA). 

history
  • 2022-06-10 first online, published, posted
publisher
4TU.ResearchData
format
csv
organizations
Hydrology and Quantitative Water Management, Wageningen University
Department of Water and Climate Risk of the Institute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam

DATA

files (3)