...
首页> 外文期刊>Weather and Climate Extremes >Historical and projected trends in temperature and precipitation extremes in Australia in observations and CMIP5
【24h】

Historical and projected trends in temperature and precipitation extremes in Australia in observations and CMIP5

机译:观测和CMIP5中澳大利亚极端温度和降水的历史和预计趋势

获取原文

摘要

This study expands previous work on climate extremes in Australia by investigating the simulation of a large number of extremes indices in the CMIP5 multi-model dataset and comparing them to multiple observational datasets over a century of observed data using consistent methods. We calculate 24 indices representing extremes of temperature and precipitation from 1911 to 2010 over Australia and show that there have been significant observed trends in temperature extremes associated with warming while there have been few significant observed trends in precipitation extremes. We compare the observed indices calculated from two mostly independent datasets with 22 CMIP5 models to determine how well global climate models are able to simulate observed climatologies, variability and trends. We find that generally temperature extremes are reasonably well simulated (climatology, variability and trend patterns) although the models tend to overestimate minimum temperature extremes and underestimate maximum temperature extremes. Some models stand out as being outliers and we exclude one model (INMCM4) entirely from the multi-model analysis as it simulates unrealistic minimum temperature extremes over the historical period. There is more spread between models for precipitation than temperature extremes but in most cases the observations sit within the model spread. Exceptions are consecutive wet days (CWD) where nearly all models overestimate the actual number of annual wet days and simple daily intensity (SDII) and one day precipitation maxima (Rx1day) where the models tend to underestimate precipitation intensity. However, some of these differences likely lie in observational uncertainty. Most models including the multi-model mean indicate that precipitation intensity has increased over the last century but the two observational datasets analysed disagree on the sign of change of precipitation intensity, one of them indicating a significant decrease. We use the CMIP5 simulations for two future Representative Concentration Pathway (RCP) scenarios (RCP4.5 and RCP8.5) to project changes in temperature and precipitation extremes across Australia. By the end of the century the number of cold temperature extremes substantially reduces and the number of warm temperature extremes substantially increases; changes scaling relative to the strength of emissions scenario. Changes in temperature extremes are often greatest in the tropics. While the results for precipitation extremes are less marked, simulations for the end of the century compared to present day indicate more periods of dryness while the most intense precipitation extremes increase substantially, with a separation becoming clear between emissions scenarios.
机译:这项研究通过调查CMIP5多模型数据集中大量极端指数的模拟,并使用一致的方法将它们与一个世纪的观测数据中的多个观测数据集进行比较,从而扩展了澳大利亚在极端气候方面的先前工作。我们计算了24个代表1911年至2010年澳大利亚全境温度和降水极端值的指数,结果表明与变暖相关的极端温度趋势已观察到,而极端降水中的观测趋势却很少。我们将使用22个CMIP5模型从两个主要独立的数据集计算得到的观测指标进行比较,以确定全球气候模型能够如何很好地模拟观测到的气候,变化和趋势。我们发现,尽管模型倾向于高估最低温度极限,而低估最高温度极限,但通常可以很好地模拟温度极限(气候,变化和趋势模式)。一些模型与众不同,我们从多模型分析中完全排除了一个模型(INMCM4),因为它模拟了历史时期内不切实际的最低温度极限。降水模型之间的差异比极端温度要大,但在大多数情况下,观测值位于模型差异之内。连续的湿日(CWD)例外,几乎所有模型都高估了实际的年度湿日数和单日强度(SDII)以及一日降水最大值(Rx1day),其中模型往往低估了降水强度。但是,其中一些差异可能在于观测不确定性。包括多模型均值在内的大多数模型都表明,上个世纪的降水强度有所增加,但所分析的两个观测数据集在降水强度变化的迹象上并不一致,其中一个表明显着下降。我们将CMIP5模拟用于两个未来的代表性浓度通道(RCP)场景(RCP4.5和RCP8.5),以预测澳大利亚各地气温和极端降水的变化。到本世纪末,极端温度的数量大大减少,而极端温度的数量大大增加。更改相对于排放强度情景的缩放比例。在热带地区,极端温度的变化通常最大。尽管极端降水的结果没有那么明显,但与本世纪末相比,与今天相比,模拟显示了更多的干旱时期,而最强烈的极端降水却大大增加,并且排放情景之间的分隔变得清晰。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号