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Seasonal coastal sea level prediction using a dynamical model

Citation

McIntosh, PC and Church, JA and Miles, ER and Ridgway, K and Spillman, CM, Seasonal coastal sea level prediction using a dynamical model, Geophysical Research Letters, 42, (16) pp. 6747-6753. ISSN 0094-8276 (2015) [Refereed Article]


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Copyright Statement

Copyright 2015 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/

DOI: doi:10.1002/2015GL065091

Abstract

Sea level varies on a range of time scales from tidal to decadal and centennial change. To date, little attention has been focussed on the prediction of interannual sea level anomalies. Here we demonstrate that forecasts of coastal sea level anomalies from the dynamical Predictive Ocean Atmosphere Model for Australia (POAMA) have significant skill throughout the equatorial Pacific and along the eastern boundaries of the Pacific and Indian Oceans at lead times out to 8 months. POAMA forecasts for the western Pacific generally have greater skill than persistence, particularly at longer lead times. POAMA also has comparable or greater skill than previously published statistical forecasts from both a Markov model and canonical correlation analysis. Our results indicate the capability of physically based models to address the challenge of providing skillful forecasts of seasonal sea level fluctuations for coastal communities over a broad area and at a range of lead times.

Item Details

Item Type:Refereed Article
Keywords:sea level, seasonal, coastal sea level, modelling, Predictive Ocean Atmosphere Model for Australia, POAMA, coastal sea level fluctuation
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical Oceanography
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate Change Models
Author:McIntosh, PC (Dr Peter McIntosh)
Author:Church, JA (Dr John Church)
ID Code:118536
Year Published:2015
Web of Science® Times Cited:4
Deposited By:IMAS - Directorate
Deposited On:2017-07-13
Last Modified:2017-10-16
Downloads:3 View Download Statistics

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