Fakhruddin, Shamsul2018-10-122016-05-03https://hdl.handle.net/2292/41201Seasonal forecasting techniques today are far more advanced than they were 40 years ago, enabling ensembles of seasonal forecast simulations with state-of-the-art climate models that produce a probability distribution of possible outcomes at various lead times for slightly different initial conditions. This is thanks to the development of complex coupled ocean–atmosphere–land numerical models, modern statistical forecasting tools, sophisticated data assimilation systems and global observing systems that provide real-time data for forecast initialization. The forecast ensembles nowadays are able to detect the predictable signal from ocean initial conditions as well as the unpredictable, chaotic elements of the climate system.Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htmInternet PublicationCopyright: The authorhttp://purl.org/eprint/accessRights/RestrictedAccess