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peersl
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Peer Project Srilanka
Harnessing the power of modern technology for the Environment
Peer Project Srilanka
PEERSL 
Intra-seasonal climate predictions for Sri Lanka and Maldives for water resources management
PI: Lareef Zubair, Foundation for Environment, Climate and Technology, Mahaweli Authority of Sri Lanka
US Partner: Adam H. Sobel, Columbia University
Project Dates: May 2012 – April 2015
Project Overview
Climate fluctuations at intra-seasonal time scales (beyond a few days to a few months) have profound influences on management of water resources to generate hydroelectricity and irrigate agricultural lands. Any ability to anticipate these fluctuations is valuable. Recent, improvements in understanding of intra-seasonal (IS) climate variability and the availability of real-time satellite based observations have led to the emergence of methodologies for IS climate predictions from a few days up to a month. This project aims to bring to bear climate variability insights from a National Science Foundation-sponsored program called DYNAMO focused on the Western Equatorial Indian Ocean. Specifically, the researchers will test IS climate predictions and assess their use for water management in Sri Lanka.
The overall goal of the project is to promote better understanding of IS variability of rainfall around Sri Lanka and Maldives, refine prediction schemes, translate this information to support water management, and upgrade local capcity for climate science and climate services. Even modest improvements in IS predictions can lead significant social and economic consequences from anticipatory water management. Because of the principal investigator’s affiliation with the Mahaweli Authority of Sri Lanka, which is the nation’s coordinating agency for water management, the project has potential for near-term impact as improved prediction models are developed and tested.