2021
DOI: 10.1016/j.cliser.2021.100246
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Using co-production to improve the appropriate use of sub-seasonal forecasts in Africa

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Cited by 23 publications
(23 citation statements)
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“…Local community‐focused CIS interventions in different regions in Africa have sought to make climate information accessible and usable through coproduction and supporting users of climate information (e.g. government representatives and local communities) to uptake probabilistic climate information (Ziervogel et al., 2010) as well as sub‐seasonal forecasts (Hirons et al., 2021). Other local community‐focused CIS informs critical aspects of CRM such as early warning for droughts and floods (Hansen et al., 2007; Sheffield et al., 2014).…”
Section: Status Of Holistic Cis In Africamentioning
confidence: 99%
“…Local community‐focused CIS interventions in different regions in Africa have sought to make climate information accessible and usable through coproduction and supporting users of climate information (e.g. government representatives and local communities) to uptake probabilistic climate information (Ziervogel et al., 2010) as well as sub‐seasonal forecasts (Hirons et al., 2021). Other local community‐focused CIS informs critical aspects of CRM such as early warning for droughts and floods (Hansen et al., 2007; Sheffield et al., 2014).…”
Section: Status Of Holistic Cis In Africamentioning
confidence: 99%
“…The GCRF African SWIFT project was a £9 million initiative aimed at delivering a step change in African weather forecasting capability across hourly to seasonal timescales, as well as building capability to continue forecasting improvements (Parker et al, 2022). A major activity within African SWIFT was a two-year sub-seasonal forecasting testbed (Hirons et al, 2021a). A forecasting testbed is a forum where prototype forecast products are operationally trialled The SWIFT sub-seasonal forecasting testbed started with a kick-off workshop in Ngong, Kenya, in November 2019.…”
Section: The African Swift Project and Sub-seasonal Forecasting Testb...mentioning
confidence: 99%
“…The Science for Weather Information and Forecasting Techniques (SWIFT) project aimed to promote sustainable science and capacity building across Africa (Parker et al, 2021). Within the project there was a two-year S2S forecasting testbed (Hirons et al, 2021) which aims to co-produce real-time S2S forecast products to support decision making processes in sectors such as agriculture, energy, health, and disaster risk reduction. The S2S forecasting testbed was a forum where prototype forecast products were co-produced and operationally trialled in realtime.…”
Section: Co-production Approachmentioning
confidence: 99%
“…The SWIFT S2S forecasting testbed took advantage of the S2S Real-time Pilot Project (Vitart and Robertson (2018) and developed a coproduction process to deliver useful, actionable weather and climate information services to key users. The co-production framework allowed country and regional level discussions between forecaster producers, scientists, and forecast users on co-exploring needs, co-developing solutions, co-delivering solutions and forecast evaluation (Carter et al, 2019, Hirons et al, 2021. In this context, ACMAD, a pan-African institution and partner of the SWIFT project promotes the use of these data to deliver real-time climate information to key users.…”
Section: Co-production Approachmentioning
confidence: 99%