Global ocean surface and subsurface temperature forecast skill over subseasonal to seasonal timescales

被引:1
作者
Smith, Grant A. [1 ]
Spillman, Claire M. [1 ]
机构
[1] Bur Meteorol, GPO Box 1289, Melbourne, Vic 3008, Australia
关键词
ACCESS-S; heat content; marine heatwave; mixed layer depth; model skill; sea surface temperature; seasonal prediction; validation; TUNA HABITAT; SEA-ICE; MODEL; SYSTEM; VARIABILITY; MANAGEMENT; IMPACT;
D O I
10.1071/ES23020
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Subseasonal to seasonal forecasts of ocean temperatures, including extreme events such as marine heatwaves, have demonstrated utility in informing operational decision-making by marine end users and managing climate risk. Verification is critical for effective communication and uptake of forecast information, together with understanding ocean temperature predictability. The forecast skill of surface and subsurface ocean temperature forecasts from the Bureau of Meteorology's new ACCESS-S2 seasonal prediction system are assessed here over an extended 38-year hindcast period, from 2 weeks to 6 months into the future. Forecasts of sea surface temperature (SST), heat content down to 300 m (HC300), bottom temperatures on continental shelves, and mixed layer depth are compared to both satellite observations and ocean reanalyses for the globe and the Australian region, using a variety of skill metrics. ACCESS-S2 demonstrates increased SST skill over its predecessor ACCESS-S1 at subseasonal timescales for all variables assessed. Heat content skill is particularly high in the tropics but reduced in subtropical regions especially when compared to persistence. Forecast skill for ocean temperature is higher in the austral summer months than winter at lead times up to 2 months in the Western Pacific region. Mixed layer depth is poorly predicted at all lead times, with only limited areas of skill around Australia and in the south-west Pacific region. Probability of exceedance forecasts for the 90th percentile as an indicator for marine heatwave conditions, shows adequate skill for SST, HC300 and bottom temperatures, especially near shelf regions at shorter lead times. This work will underpin the future development of an operational marine heatwave forecast service, which will provide early warning of these events and thus valuable preparation windows for marine stakeholders. The ability of climate models to forecast ocean temperature over weeks to months to seasons underpins various marine applications including fisheries and reef management. Although surface temperatures are often the focus of climate modelling studies, the subsurface can be equally, if not more important, for fisheries and aquaculture stakeholders. Here we take a look at how well the ACCESS-S2 model forecasts ocean temperatures from the surface down to 300 m and show it can be useful for predicting the likelihood of marine heatwaves.
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页数:17
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