Seasonal climate forecasting for better irrigation system management in Lombok, Indonesia

Project report


McClymont, David, Zhang, Xike, Dutta, Sunil, White, Simon, Yasin, Ismail, Idris, Husni, Yakin, Addinul, Ma'shum, Mansur, Suriadi, Ahmad and Surana, Ir.. 2009. Seasonal climate forecasting for better irrigation system management in Lombok, Indonesia. Canberra, Australia. Australian Centre for International Agricultural Research.
Title

Seasonal climate forecasting for better irrigation system management in Lombok, Indonesia

Report TypeProject report
AuthorsMcClymont, David (Author), Zhang, Xike (Author), Dutta, Sunil (Author), White, Simon (Author), Yasin, Ismail (Author), Idris, Husni (Author), Yakin, Addinul (Author), Ma'shum, Mansur (Author), Suriadi, Ahmad (Author) and Surana, Ir. (Author)
Institution of OriginUniversity of Southern Queensland
Number of Pages209
Year2009
PublisherAustralian Centre for International Agricultural Research
Place of PublicationCanberra, Australia
ISBN9781921615535
Web Address (URL)http://aciar.gov.au/publication/FR2009-44
Abstract

This project aimed to develop, customise and promote seasonal climate forecast (SCF) technologies to improve the management of irrigated agricultural production systems in Lombok, Indonesia. The climate of Lombok is highly variable being significantly influenced by the El Niño Southern Oscillation (ENSO) phenomenon, which greatly affects the productivity of the predominantly rice-based local agriculture. By customising ENSO-based SCF technologies for use in regional agricultural management and planning, there is significant potential to increase Lombok's agricultural productivity and revenue in favourable seasons and reduce the risk of crop losses in dry years and prolonged droughts. To achieve this, the objectives of the project embodied a range of decision support and 'systems modelling' development, capacity-building and information dissemination components including:
• Collecting, synthesising, modelling and collating hydrologic and climatic data for integration into a climate-based decision support system.
• Developing decision support tools for optimising choice of crop, crop area and irrigation water allocation based on seasonal climate information.
• Promoting SCF-based planning amongst irrigators, government officials and community leaders.
• Building local capacity in the development and operational use of decision support systems.

KeywordsSOI; southern oscillation index; El Nino; meteorological information; forecasts; irrigation practices; droughts; floods
ANZSRC Field of Research 2020300210. Sustainable agricultural development
370108. Meteorology
300201. Agricultural hydrology
Public Notes

Project no: SMCN/2002/033. Final report no. FR2009-44. Copyright - Commonwealth of Australia 2009. Open access copy is available from link provided.

Byline AffiliationsQueensland Environmental Protection Agency, Australia
University of Mataram, Indonesia
Indonesian Agency for Agricultural Research and Development, Indonesia
Public Works Department, Indonesia
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