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Downscaling the climate change for oceans around Australia

机译:降低澳大利亚周围海洋的气候变化

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At present, global climate models used to project changes in climate poorly resolve mesoscale ocean features such as boundary currents and eddies. These missing features may be important to realistically project the marine impacts of climate change. Here we present a framework for dynamically downscaling coarse climate change projections utilising a near-global ocean model that resolves these features in the Australasian region, with coarser resolution elsewhere. A time-slice projection for a 2060s ocean was obtained by adding climate change anomalies to initial conditions and surface fluxes of a near-global eddy-resolving ocean model. Climate change anomalies are derived from the differences between present and projected climates from a coarse global climate model. These anomalies are added to observed fields, thereby reducing the effect of model bias from the climate model. The downscaling model used here is ocean-only and does not include the effects that changes in the ocean state will have on the atmosphere and air–sea fluxes. We use restoring of the sea surface temperature and salinity to approximate real-ocean feedback on heat flux and to keep the salinity stable. Extra experiments with different feedback parameterisations are run to test the sensitivity of the projection. Consistent spatial differences emerge in sea surface temperature, salinity, stratification and transport between the downscaled projections and those of the climate model. Also, the spatial differences become established rapidly (< 3 yr), indicating the importance of mesoscale resolution. However, the differences in the magnitude of the difference between experiments show that feedback of the ocean onto the air–sea fluxes is still important in determining the state of the ocean in these projections. Until such a time when it is feasible to regularly run a global climate model with eddy resolution, our framework for ocean climate change downscaling provides an attractive way to explore the response of mesoscale ocean features with climate change and their effect on the broader ocean.
机译:目前,用于预测气候变化的全球气候模型很难解决中尺度海洋特征,例如边界流和涡流。这些缺失的特征对于现实地预测气候变化对海洋的影响可能很重要。在这里,我们提出了一个利用近全球海洋模型动态缩小气候变化粗略预测的框架,该模型解决了澳大利亚地区的这些特征,而其他地方的分辨率更高。 获得了2060年代海洋的时间切片预测通过将气候变化异常添加到近似全球解决涡流的海洋模型的初始条件和表面通量中来。气候变化异常是由粗略的全球气候模型得出的当前和预计气候之间的差异得出的。这些异常被添加到观察到的字段中,从而减少了气候模型对模型偏差的影响。 此处使用的缩小模型仅适用于海洋,并且不包括海洋状态变化对海洋的影响。大气和海气通量。我们使用恢复海面温度和盐度的方法来近似真实海洋对热通量的反馈,并保持盐度的稳定。运行具有不同反馈参数设置的额外实验来测试投影的灵敏度。缩小的预估值与气候模型的预估值之间在海表温度,盐度,分层和运输方面出现了一致的空间差异。同样,空间差异迅速建立(<3年),表明中尺度分辨率的重要性。但是,实验之间差异的大小差异表明,在这些投影中确定海洋状态时,海洋对海气通量的反馈仍然很重要。 定期运行具有涡旋分辨率的全球气候模型是可行的,我们的海洋气候变化缩减框架为探索中尺度海洋特征对气候变化的响应及其对更广阔海洋的影响提供了一种有吸引力的方式。

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