Climate information for humanitarian agencies: some basic principles
Tóm tắt
Since 2005, the International Federation of Red Cross and Red Crescent Societies and the Red Cross Red Crescent Climate Centre have had an ongoing partnership with the International Research Institute for Climate and Society (IRI) to connect end-users with providers of climate information. This partnership has enabled and encouraged the uptake of climate information in the humanitarian sector. From the perspective of the climate service provider, attempts to address problems of salience, credibility and legitimacy have been made by adopting the following set of principles: prioritize immediate user needs; provide only information that is relevant to the user context; provide decision support; right-scale rather than down-scale; and maintain ownership and partnership in design. Examples are presented of how these principles have been applied, highlighting not only the need to improve forecasts and their presentation, but also to address obstacles to the practical use of climate information.
Tài liệu tham khảo
Braman L, Suarez P, van Aalst MK: Climate change adaptation: integrating climate science into humanitarian work. Int Rev Red Cross 2010, 92: 693–712. 10.1017/S1816383110000561
Braman L, van Aalst MK, Mason SJ, Suarez P, Ait-Chellouche Y, Tall A: Climate forecasts in disaster management: Red Cross flood operations in West Africa, 2008. Disasters 2012, 37: 144–164.
Dilling L, Lemos MK: Creating usable science: opportunities and constraints for climate knowledge use and their implications for science policy. Global Env Change 2010, 21: 680–689.
Hansen JW, Mason SJ, Sun LQ, Tall A: Review of seasonal climate forecasting for agriculture in sub-Saharan Africa. Exp Agric 2011, 47: 205–240. 10.1017/S0014479710000876
Hellmuth ME, Mason SJ, Vaughan C, van Aalst MK, Choularton R: A Better Climate for Disaster Risk Management. New York: International Research Institute for Climate and Society (IRI); 2011.
Hewitt C, Mason SJ, Walland D: The global framework for climate services. Nat Clim Change 2012, 2: 831–832. 10.1038/nclimate1745
Intergovernmental Panel on Climate Change: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press; 2012.
Johnston PA, Archer ERM, Vogel CH, Bezuidenhout CN, Tennant WJ, Kuscke R: Review of seasonal forecasting in South Africa: producer to end-user. Clim Res 2004, 28: 67–82.
Kenya Red Cross. Drought (Early Warning Early Action): Drought Appeal. 2011. [https://www.kenyaredcross.org/PDF/humanitarian%20appeals/IFRC%20Drought%20Appeal%20Update%20July%202011.pdf]
Klopper E, Vogel CH, Landman WA: Seasonal climate forecasts – potential agricultural-risk management tools? Clim Change 2006, 76: 73–90. 10.1007/s10584-005-9019-9
McNaught R, Tuimanu V, Braman L: Preparing for ENSO events in the pacific. Climate Serv Partner Case Study 2013. http://www.climate-services.org/sites/default/files/Pacific_La_Nina_Case_Study.pdf
Meinke H, Howden SM, Struik PC: Adaptation science for agriculture and natural resource management – urgency and theoretical basis. Current Options in Env Sust 2009, 1: 69–76. 10.1016/j.cosust.2009.07.007
Moron V, Robertson AW, Ward MN: Spatial coherence of tropical rainfall at regional scale. J Clim 2007, 20: 5244–5263. 10.1175/2007JCLI1623.1
Moron V, Camberlin P, Robertson AW: Extracting subseasonal scenarios: an alternative method to analyze seasonal predictability of regional-scale tropical rainfall. J Clim 2013, 26: 2580–2600. 10.1175/JCLI-D-12-00357.1
Ogallo LJ, Bessemoulin P, Ceron JP, Mason SJ, Connor SJ: Adapting to climate variability and change: the Climate Outlook Forum process. J World Meteor Org 2008, 57: 93–102.
Pascal M, Viso AC, Medina S, Delmas MC, Beaudeau P: How can a climate change perspective be integrated into public health surveillance? Public Health 2012, 126: 660–667. 10.1016/j.puhe.2012.04.013
Robertson AW, Moron V, Swarinoto Y: Seasonal predictability of daily rainfall statistics over Indramayu district, Indonesia. Int J Climatol 2009, 29: 1449–1462. 10.1002/joc.1816
Suarez P, Tall A: Towards forecast-based humanitarian decisions: Climate science to get from early warning to early action. London: Humanitarian Futures Programme, Kings College; 2010.
United Nations International Strategy for Disaster Reduction: 2009 Global Assessment on Disaster Risk Reduction. Risk and Poverty in A Changing Climate. Geneva: United Nations International Strategy for Disaster Reduction; 2009.
Usman M, Archer ERM, Johnston P, Tadross MA: A conceptual framework for improving rainfall forecasting for agriculture in semi-arid and dry sub-humid environments. Nat Hazards 2006, 34: 111–129.
Verbist K, Robertson AW, Cornelis WM, Gabriels D: Seasonal predictability of daily rainfall characteristics in central-northern Chile for dry-land management. J Appl Meteorol Climatol 2010, 49: 1938–1955. 10.1175/2010JAMC2372.1
Vogel C, O’Brien K: Who can eat information? Examining the effectiveness of seasonal climate forecasts and regional climate-risk management strategies. Clim Res 2006, 33: 111–112.
Webster PJ: Improve weather forecasts for the developing world. Nature 2013, 493: 17–19.