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20 km resolution regional climate model experiments over Australia: experimental design and simulations of current climate

机译:在澳大利亚进行20 km分辨率的区域气候模型实验:当前气候的实验设计和模拟

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摘要

As part of an Australia-China climate change bilateral project, in this study we report on a regional model, RegCM3, high-resolution climate simulation over the whole Australian continent. A 30-year model integration with a 20 km horizontal resolution is performed. As the model uses completely different configurations to the model being used in Australia for climate change studies, this study provides a complementary approach for exploring and assessing the skill of dynamical downscaling for this country. In the analysis, we explore model skill in three areas: how well the model simulates the observed surface climatology and if it captures some locally driven features; how skilful the model is in simulating climate variability in the region and the spatial coherence seen from observations; and whether the model has skill in simulating daily climate statistics. Despite some model deficiencies, such as an overestimation of monsoon rainfall, the overall results are encouraging. Detailed features in observed rainfall, temperature and surface evaporation are well simulated, including the extent of summer monsoon rainfall, the winter rainfall maximum in the southwest of Western Australia (SWWA) and the topographically driven high rainfall belt along the Great Dividing Range. The model gives reasonable skill in capturing the observed climate variability in the region, with about 10 per cent error of observed magnitudes. Over SWWA and the Murray-Darling Basin (MDB), it is skilful in reproducing the observed probability distribution functions or rainfall, maximum and minimum temperatures, except that the model tends to show lower probability of producing light rain events, and biases in rainfall and temperature.
机译:作为澳中气候变化双边项目的一部分,在这项研究中,我们报告了整个澳大利亚大陆的区域模型RegCM3,即高分辨率气候模拟。进行了30年的水平分辨率为20 km的模型集成。由于该模型使用与澳大利亚用于气候变化研究的模型完全不同的配置,因此该研究为探索和评估该国家动态降尺度的技巧提供了一种补充方法。在分析中,我们在三个方面探讨了模型技巧:模型对观测到的表面气候的模拟效果如何以及是否捕获了一些局部驱动的特征;该模型在模拟该区域的气候变化和从观测中看到的空间连贯性方面的技巧如何;以及该模型是否具有模拟每日气候统计数据的技能。尽管存在一些模型缺陷,例如高估了季风降雨,但总体结果令人鼓舞。很好地模拟了观测到的降雨,温度和地表蒸发的详细特征,包括夏季季风降雨的程度,西澳大利亚州西南部(SWWA)的冬季降雨最大值以及大分水岭沿地形的高降雨带。该模型提供了捕获该地区观测到的气候变化的合理技巧,观测值的误差约为10%。在SWWA和Murray-Darling盆地(MDB)上,它能熟练地再现观测到的概率分布函数或降雨,最高和最低温度,但该模型倾向于显示出产生小雨事件的概率较低,并且降雨和温度。

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