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Downscaling and extrapolating dynamic seasonal marine forecasts for coastal ocean users


Vanhatalo, J and Hobday, AJ and Little, LR and Spillman, CM, Downscaling and extrapolating dynamic seasonal marine forecasts for coastal ocean users, Ocean Modelling, 100 pp. 20-30. ISSN 1463-5003 (2016) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier Ltd.

DOI: doi:10.1016/j.ocemod.2016.01.004


Marine weather and climate forecasts are essential in planning strategies and activities on a range of temporal and spatial scales. However, seasonal dynamical forecast models, that provide forecasts in monthly scale, often have low offshore resolution and limited information for inshore coastal areas. Hence, there is increasing demand for methods capable of fine scale seasonal forecasts covering coastal waters. Here, we have developed a method to combine observational data with dynamical forecasts from POAMA (Predictive Ocean Atmosphere Model for Australia; Australian Bureau of Meteorology) in order to produce seasonal downscaled, corrected forecasts, extrapolated to include inshore regions that POAMA does not cover. We demonstrate the method in forecasting the monthly sea surface temperature anomalies in the Great Australian Bight (GAB) region. The resolution of POAMA in the GAB is approximately 2 1 (lon. lat.) and the resolution of our downscaled forecast is approximately 1 0.25. We use data and model hindcasts for the period 19942010 for forecast validation. The predictive performance of our statistical downscaling model improves on the original POAMA forecast. Additionally, this statistical downscaling model extrapolates forecasts to coastal regions not covered by POAMA and its forecasts are probabilistic which allows straightforward assessment of uncertainty in downscaling and prediction. A range of marine users will benefit from access to downscaled and nearshore forecasts at seasonal timescales.

Item Details

Item Type:Refereed Article
Keywords:POAMA, seasonal forecast, statistical downscaling, coastal extrapolation, Great Australian Bight, Gaussian process
Research Division:Earth Sciences
Research Group:Atmospheric sciences
Research Field:Meteorology
Objective Division:Environmental Management
Objective Group:Air quality, atmosphere and weather
Objective Field:Weather
UTAS Author:Hobday, AJ (Dr Alistair Hobday)
UTAS Author:Little, LR (Dr Richard Little)
ID Code:118407
Year Published:2016
Web of Science® Times Cited:2
Deposited By:Directorate
Deposited On:2017-07-11
Last Modified:2018-05-09

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