Forecasting local climate for policy analysis : a pilot application for Ethiopia
AbstractThis paper describes an approach to forecasting future climate at the local level using historical weather station and satellite data and future projections of climate data from global climate models (GCMs) that is easily understandable by policymakers and planners. It describes an approach to synthesize the myriad climate projections, often with conflicting messages, into an easily-interpreted set of graphical displays that summarizes the basic implications of the ensemble of available climate models. The method described in the paper can be applied to publicly-available data for any country and for any number of climate models. It does not depend on geographic scale and can be applied at the subnational, national, or regional level. The paper illustrates the results for future climate for Ethiopia using future climate scenarios projects by 8 global climate models. The graphical displays of nine possible future climate regimes (average temperature, precipitation and their seasonal distribution) for each grid-cell about 50km X 50 km). It also provides the probability associated with each of the nine-climate regimes.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by The World Bank in its series Policy Research Working Paper Series with number 5004.
Date of creation: 01 Jul 2009
Date of revision:
Science of Climate Change; Climate Change Mitigation and Green House Gases; Global Environment Facility; Water Conservation; Information Security&Privacy;
This paper has been announced in the following NEP Reports:
- NEP-AFR-2009-08-02 (Africa)
- NEP-ALL-2009-08-02 (All new papers)
- NEP-ENE-2009-08-02 (Energy Economics)
- NEP-ENV-2009-08-02 (Environmental Economics)
- NEP-FOR-2009-08-02 (Forecasting)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roula I. Yazigi).
If references are entirely missing, you can add them using this form.