THE BEST OF BOTH WORLDS: A DECISION-MAKING FRAMEWORK FOR COMBINING TRADITIONAL AND CONTEMPORARY FORECAST SYSTEMS

THE BEST OF BOTH WORLDS: A DECISION-MAKING FRAMEWORK FOR COMBINING TRADITIONAL AND CONTEMPORARY... AbstractIn most countries, national meteorological services (NMSs) either generate or have access to seasonal climate forecasts. However, in a number of regions the uptake of these forecasts by local communities can be limited with the locals instead relying on traditional knowledge (TK) to make their climate forecasts. Both approaches to seasonal climate forecasting have benefits and the incorporation of traditional forecast methods into contemporary forecast systems can lead to forecasts that are locally relevant and better trusted by the users. This in turn could significantly improve the communication and application of climate information, especially to remote communities. A number of different methodologies have been proposed for combining these forecasts. Through considering the benefits and limitations of each approach, practical recommendations are provided on selecting a method, in the form of a decision framework, that takes into consideration both user and provider needs. The framework comprises of four main decision points: 1) consideration of the level of involvement of traditional knowledge experts or the community that is required; 2) existing levels of traditional knowledge of climate forecasting and its level of cultural sensitivity; 3) the availability of long-term data – both TK and contemporary forecast components; 4) the level of resourcing available. No one method is suitable for everyone and every situation, however, the decision framework helps to select the most appropriate method for a given situation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Meteorology and Climatology American Meteorological Society

THE BEST OF BOTH WORLDS: A DECISION-MAKING FRAMEWORK FOR COMBINING TRADITIONAL AND CONTEMPORARY FORECAST SYSTEMS

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1558-8432
D.O.I.
10.1175/JAMC-D-17-0012.1
Publisher site
See Article on Publisher Site

Abstract

AbstractIn most countries, national meteorological services (NMSs) either generate or have access to seasonal climate forecasts. However, in a number of regions the uptake of these forecasts by local communities can be limited with the locals instead relying on traditional knowledge (TK) to make their climate forecasts. Both approaches to seasonal climate forecasting have benefits and the incorporation of traditional forecast methods into contemporary forecast systems can lead to forecasts that are locally relevant and better trusted by the users. This in turn could significantly improve the communication and application of climate information, especially to remote communities. A number of different methodologies have been proposed for combining these forecasts. Through considering the benefits and limitations of each approach, practical recommendations are provided on selecting a method, in the form of a decision framework, that takes into consideration both user and provider needs. The framework comprises of four main decision points: 1) consideration of the level of involvement of traditional knowledge experts or the community that is required; 2) existing levels of traditional knowledge of climate forecasting and its level of cultural sensitivity; 3) the availability of long-term data – both TK and contemporary forecast components; 4) the level of resourcing available. No one method is suitable for everyone and every situation, however, the decision framework helps to select the most appropriate method for a given situation.

Journal

Journal of Applied Meteorology and ClimatologyAmerican Meteorological Society

Published: Jul 12, 2017

References

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