Enhancing Food Security in Africa with a Predictive Early Warning System on Extreme Weather Phenomena

Domaine:

climateagriculture

Type de record:

datasetpaper

Créateur:

Éditeur:

Hôte:

The raw data attached are the RCM models obtained from the CORDEX GCM and that use the RCP85 (Regional Concentration Pathway since it is the best for) for the data past 2015 to the year 2021.

The data attached is for the whole of Africa.

The precipitation data Ahero contains the combined data for all the precipitation data for Ahero (CHRIPS and TAMSAT as the satellite data used in the study)

MastaT002/Drought-Food-Security-Early-Warning-System

ML-powered early warning system for predicting high food insecurity risk across Kenya ASAL counties.

Oginaz/Food-Security-Early-Warning-System-Kenya-Case-Study

This project aims to predict food crises before they occur, enabling timely interventions that reduc

duleab/Africa-Food-Crisis-Early-Warning-System

This ML pipeline predicts severe food crises in 14 African nations 90 days in advance. By combining

A Drought Monitoring and Early Warning Service for Food Security in South Africa

Effects of extreme weather events on agriculture and women's food security in Cameroon

This study evaluates the socioeconomic and gendered impacts of extreme weather events

Extreme heat impacts on food security in Africa

<p>Extreme hot-humid heat impacts both urban and rural livelihoods, reducing labor out