Future changes and uncertainty in decision-relevant measures of East African climate

dc.creatorBornemann, F.J.
dc.creatorRowell, D.P.
dc.creatorEvans, B.
dc.creatorLapworth, D.J.
dc.creatorLwiza, K.
dc.creatorMacdonald, D.M.J.
dc.creatorMarsham, J.H.
dc.creatorFantaye, K. T.
dc.creatorAscott, M.J.
dc.creatorWay, C.
dc.date2019-12-11T01:15:15Z
dc.date2019-12-11T01:15:15Z
dc.date2019
dc.date.accessioned2023-07-17T20:05:05Z
dc.date.available2023-07-17T20:05:05Z
dc.identifier0165-0009 (Print)
dc.identifierhttps://hdl.handle.net/10883/20501
dc.identifier10.1007/s10584-019-02499-2
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7512313
dc.descriptionThe need for the development of adaptation strategies for climate change in Africa is becoming critical. For example, infrastructure with a long lifespan now needs to be designed or adapted to account for a future climate that will be different from the past or present. There is a growing necessity for the climate information used in decision making to change from traditional science-driven metrics to decision-driven metrics. This is particularly relevant in East Africa, where limited adaptation and socio-economic capacity make this region acutely vulnerable to climate change. Here, we employ an interdisciplinary consultation process to define and analyse a number of such decision-oriented metrics. These metrics take a holistic approach, addressing the key East African sectors of agriculture, water supply, fisheries, flood management, urban infrastructure and urban health. A multifaceted analysis of multimodel climate projections then provides a repository of user-focused information on climate change and its uncertainties, for all metrics and seasons and two future time horizons. The spatial character and large intermodel uncertainty of changes in temperature and rainfall metrics are described, as well as those of other relevant metrics such as evaporation and solar radiation. Intermodel relationships amongst metrics are also explored, with two clear clusters forming around rainfall and temperature metrics. This latter analysis determines the extent to which model weights could, or could not, be applied across multiple climate metrics. Further work must now focus on maximising the utility of model projections, and developing tailored risk-based communication strategies.
dc.description365-384
dc.formatPDF
dc.languageEnglish
dc.publisherSpringer
dc.relationhttps://static-content.springer.com/esm/art%3A10.1007%2Fs10584-019-02499-2/MediaObjects/10584_2019_2499_MOESM1_ESM.zip
dc.relationhttps://static-content.springer.com/esm/art%3A10.1007%2Fs10584-019-02499-2/MediaObjects/10584_2019_2499_MOESM2_ESM.zip
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
dc.rightsOpen Access
dc.source3
dc.source156
dc.sourceClimatic Change
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectCLIMATE CHANGE ADAPTATION
dc.subjectDECISION MAKING
dc.titleFuture changes and uncertainty in decision-relevant measures of East African climate
dc.typeArticle
dc.typePublished Version
dc.coverageEAST AFRICA
dc.coverageAmsterdam (Netherlands)


Este ítem pertenece a la siguiente institución