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二十一世纪户外热应激的高分辨率预估:塔斯马尼亚案例研究。

High-resolution projections of outdoor thermal stress in the twenty-first century: a Tasmanian case study.

机构信息

School of Geography, Planning, and Spatial Sciences, University of Tasmania, Sandy Bay, TAS, 7001, Australia.

Climate Futures Research Group, University of Tasmania, Sandy Bay, TAS, 7001, Australia.

出版信息

Int J Biometeorol. 2024 Apr;68(4):777-793. doi: 10.1007/s00484-024-02622-8. Epub 2024 Mar 1.

Abstract

To adapt to Earth's rapidly changing climate, detailed modelling of thermal stress is needed. Dangerous stress levels are becoming more frequent, longer, and more severe. While traditional measurements of thermal stress have focused on air temperature and humidity, modern measures including radiation and wind speed are becoming widespread. However, projecting such indices has presented a challenging problem, due to the need for appropriate bias correction of multiple variables that vary on hourly timescales. In this paper, we aim to provide a detailed understanding of changing thermal stress patterns incorporating modern measurements, bias correction techniques, and hourly projections to assess the impact of climate change on thermal stress at human scales. To achieve these aims, we conduct a case study of projected thermal stress in central Hobart, Australia for 2040-2059, compared to the historical period 1990-2005. We present the first hourly metre-scale projections of thermal stress driven by multivariate bias-corrected data. We bias correct four variables from six dynamically downscaled General Circulation Models. These outputs drive the Solar and LongWave Environmental Irradiance Geometry model at metre scale, calculating mean radiant temperature and the Universal Thermal Climate Index. We demonstrate that multivariate bias correction can correct means on multiple time scales while accurately preserving mean seasonal trends. Changes in mean air temperature and UTCI by hour of the day and month of the year reveal diurnal and annual patterns in both temporal trends and model agreement. We present plots of future median stress values in the context of historical percentiles, revealing trends and patterns not evident in mean data. Our modelling illustrates a future Hobart that experiences higher and more consistent numbers of hours of heat stress arriving earlier in the year and extending further throughout the day.

摘要

为了适应地球快速变化的气候,需要对热应力进行详细建模。危险的压力水平变得越来越频繁、持续时间更长、更严重。虽然传统的热应力测量方法侧重于空气温度和湿度,但包括辐射和风速在内的现代测量方法正在广泛应用。然而,由于需要对随时间变化的多个变量进行适当的偏差校正,因此预测这些指标一直是一个具有挑战性的问题。在本文中,我们旨在详细了解包含现代测量、偏差校正技术和小时预测的变化热应力模式,以评估气候变化对人类尺度热应力的影响。为了实现这些目标,我们对澳大利亚霍巴特市中心 2040-2059 年的预测热应力进行了案例研究,与 1990-2005 年的历史时期进行了比较。我们首次提出了基于多元偏差校正数据的小时米尺度热应力预测。我们对六个动态下推的通用循环模型中的四个变量进行了偏差校正。这些输出驱动太阳能和长波环境辐射几何模型在米尺度上计算平均辐射温度和通用热气候指数。我们证明多元偏差校正可以在多个时间尺度上校正平均值,同时准确地保留平均季节性趋势。一天中不同小时和一年中不同月份的平均空气温度和 UTCI 的变化揭示了昼夜和年度趋势以及模型一致性的变化。我们以历史百分位数为背景展示了未来中值压力值的图,揭示了在平均值数据中不明显的趋势和模式。我们的模型说明了霍巴特未来的情况,即经历更多和更一致的小时热应激,这些应激出现的时间更早,持续时间更长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5e6/10963583/10935868d172/484_2024_2622_Fig1_HTML.jpg

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