Abstract
This paper reviews long-range climate prediction with a focus on experiences in southern Africa from 1990 to 2005 and statistical techniques based on historical replication. The initial growth and use of climate predictions in southern Africa created an understanding of tropical Atlantic and Indian Ocean coupling with Pacific El Nino and the African monsoon, and fostered extensions of the global observing system as a key outcome. An intercomparison of forecast errors highlights optimal scales for model aggregation. Cases of forecast development are analyzed and a tendency for neutral messages is found. South African maize yield exhibits an uptrend (+0.26 T ha−1/year) since 1992 that may be related to the increased use of Internet and uptake of long-range forecasts.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
