Identifying climate shocks in Young Lives communities: Estimating weather conditions using a global gridded time series

Details the process of selecting, preparing and matching external data for climate variables to the locations of communities.

Abstract

This technical note details the process of selecting, preparing and matching external data for climate variables to the locations of the communities the Young Lives study participants live in. The authors select specific data on monthly total precipitation and average air temperature, using a global gridded terrestrial time series dataset. The authors go on to detail the structure and content of the publicly archived dataset and how it may be used.

This note is part of the Young Lives at Work programme.

Citation

McQuade G and Favara M. ‘Identifying climate shocks in Young Lives communities: Estimating weather conditions using a global gridded time series’ Young Lives Technical Note 57, March 2024

Identifying climate shocks in Young Lives communities: Estimating weather conditions using a global gridded time series

Updates to this page

Published 27 March 2024