eCite Digital Repository

Providing seasonal-to-interannual climate information for risk management and decision making


Goddard, L and Aitchellouche, Y and Baethgen, W and Dettinger, M and Graham, R and Hayman, P and Kadi, M and Martinez, R and Meinke, H, Providing seasonal-to-interannual climate information for risk management and decision making, Procedia Environmental Sciences, 1 pp. 81-101. ISSN 1878-0296 (2010) [Refereed Article]

Restricted - Request a copy

Copyright Statement

The definitive version is available at

Official URL:

DOI: doi:10.1016/j.proenv.2010.09.007


Much has been learned in the interpretation and use of climate information since the 1997/1998 El Niño event that garnered so much attention. Seasonal-to-interannual forecasts are now produced around the world. However, mismatches in their scales, specificity or communication (of forecast content and uncertainties) with decision-maker needs still hinder their use. More work is needed to improve a) the utility of models, b) access to observational and model/forecast data, c) understanding and communication of the opportunities and limitations of forecasts, and d) methods by which decision systems use climate predictions – both through modifications of decision systems and more tailored forecast information. This white paper discusses these issues and recent advances in providing climate information needed in effective climate risk management. The paper advocates for the establishment and/or strengthening of "chains of experts and communications" to better enable appropriate and effective dissemination,assimilation and further use and application of climate information.

Item Details

Item Type:Refereed Article
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Agriculture, land and farm management
Research Field:Farm management, rural management and agribusiness
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Adaptation to climate change
Objective Field:Climate change adaptation measures (excl. ecosystem)
UTAS Author:Meinke, H (Professor Holger Meinke)
ID Code:70779
Year Published:2010
Web of Science® Times Cited:54
Deposited By:Agricultural Science
Deposited On:2011-07-03
Last Modified:2011-10-06
Downloads:3 View Download Statistics

Repository Staff Only: item control page