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

This technical note describes the process of selecting, preparing and matching external climate data to Young Lives respondents’ locations to derive ex-post estimates of climate conditions at a community level in regions which traditionally have poor climate data collection capacity. The note also d...

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Main Authors: McQuade, G, Favara, M
Format: Report
Language:English
Published: Young Lives 2024
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author McQuade, G
Favara, M
author_facet McQuade, G
Favara, M
author_sort McQuade, G
collection OXFORD
description This technical note describes the process of selecting, preparing and matching external climate data to Young Lives respondents’ locations to derive ex-post estimates of climate conditions at a community level in regions which traditionally have poor climate data collection capacity. The note also details how to use these matched data, specifically precipitation records, to assess experiences of anomalous conditions relative to historical mean conditions for each community. Finally, it briefly details the structure and content of the publicly archived dataset, and how this dataset may be used for further research.
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spelling oxford-uuid:19dc5e0b-f715-4cdc-bddb-e01b739a617a2024-04-04T12:01:36ZIdentifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time seriesReporthttp://purl.org/coar/resource_type/c_93fcuuid:19dc5e0b-f715-4cdc-bddb-e01b739a617aEnglishSymplectic ElementsYoung Lives2024McQuade, GFavara, MThis technical note describes the process of selecting, preparing and matching external climate data to Young Lives respondents’ locations to derive ex-post estimates of climate conditions at a community level in regions which traditionally have poor climate data collection capacity. The note also details how to use these matched data, specifically precipitation records, to assess experiences of anomalous conditions relative to historical mean conditions for each community. Finally, it briefly details the structure and content of the publicly archived dataset, and how this dataset may be used for further research.
spellingShingle McQuade, G
Favara, M
Identifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time series
title Identifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time series
title_full Identifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time series
title_fullStr Identifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time series
title_full_unstemmed Identifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time series
title_short Identifying climate shocks in Young Lives communities: estimating weather conditions using a global gridded time series
title_sort identifying climate shocks in young lives communities estimating weather conditions using a global gridded time series
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AT favaram identifyingclimateshocksinyounglivescommunitiesestimatingweatherconditionsusingaglobalgriddedtimeseries