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Observed trends and future projections of extreme heat events in Sonora, Mexico

机译:观察到墨西哥索诺拉极端热情事件的趋势和未来预测

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According to the Intergovernmental Panel on Climate Change (IPCC), global temperatures have risen at an alarming pace since the early 20th century and this warming has been more pronounced since the 1970s. Temperature variations are significant because of their relation with thermal comfort and public health. In this study, we characterize the impacts of increasing maximum air temperatures in Sonora, Mexico. Heat days (HDs) and heat waves (HWs) were used as indicators to investigate historical trends in extreme heat. Furthermore, HDs were represented using a generalized linear regression model during the observed period (1966-2015) to generate future scenarios related to extreme heat and subsequently compared with six downscaled general circulation models (CNRM-CM5, CSIRO Mk3.6.0, HadGEM2-CC, HadGEM2-ES, IPSL-CM5A-LR and IPSL-CM5A-MR) under low and high radiative scenarios (RCP4.5 and RCP8.5). Results of this work indicate that climate stations in Sonora have exhibited increases in the number of HDs and HWs in the historical record that can be associated to physical factors such as elevation, urban land cover and the percent of annual rainfall during the summer. Statistical and model-based projections indicate that these trends will continue in the future up to 2060, with less moderate increases and high uncertainty noted for the difference scenarios of the downscaled models. These observed and projected trends in extreme heat are important for identifying adaptation strategies in the public and environmental health sectors in Sonora.
机译:根据政府间气候变化小组(IPCC),自20世纪初以来,全球气温令人震惊的速度上升,自20世纪70年代以来,这种变暖已经更加明显。温度变化是显着的,因为它们与热舒适和公共卫生的关系。在这项研究中,我们表征了增加最大气温在墨西哥的最大空气温度的影响。热日(HDS)和热波(HWS)被用作调查极端热量历史趋势的指标。此外,在观察期间(1966-2015)期间使用广义线性回归模型表示HDS,以产生与极端热量相关的未来情景,随后与六个较低的通用循环模型(CNRM-CM5,CSIRO MK3.6.0,HADGEM2-CC)进行比较。 ,低辐射方案(RCP4.5和RCP8.5)下,HADGEM2-ES,IPSL-CM5A-LR和IPSL-CM5A-MR)。这项工作的结果表明,索诺拉的气候局在历史记录中的HDS和HW数量的增加会随着夏季海拔,城市土地覆盖率和年降雨量的百分比而相关的历史记录。基于统计和模型的预测表明,这些趋势将在未来持续到2060年,由于缩小模型的差异方案,不太温和的增加和高不确定性。这些观察到的和预测的极端趋势对于识别索诺拉公共和环境卫生部门的适应策略非常重要。

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