人为温室气体直接影响下的 2021 年 7 月底/8 月初希腊极端热浪

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2023-10-05 DOI:10.1002/asl.1191
Christos Giannaros, Stavros Dafis, Vassiliki Kotroni, Konstantinos Lagouvardos
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引用次数: 0

摘要

近几十年来,希腊气候呈明显变暖趋势,伴随而来的是热浪(HWs)的频率、强度和持续时间不断增加。2021 年 7 月底/8 月初的热浪(JA2021HW)对希腊的影响尤为严重,持续了 9 天(7 月 28 日至 8 月 5 日)。本研究利用模型再分析数据和雅典国家天文台(NOA)气象单位运行的密集地面气象站网络中长达 11 年的观测数据,重点研究了该事件中最热的一天(8 月 3 日),并介绍了 JA2021HW 的主要特征。该分析凸显了 JA2021HW 的严重性,尤其是在希腊中部和最南部地区。最重要的是,通过采用基于气象研究和预报(WRF)模式的区域 31 成员集合(ENS)建模方法,从强度和发生概率方面研究了人为温室气体对所研究的极端事件的直接影响。首先,WRF 在当前温室气体(GHG)浓度(GHG_2021 ENS)的 7 天提前期 ENS 模拟下进行了验证,结果表明该模式在复制 8 月 3 日 JA2021HW 的强度方面表现出色。然后,进行了将温室气体浓度降低到工业化前(1854 年)水平的 7 天提前期 ENS 模拟(GHG_1854 ENS),并与 GHG_2021 ENS 试验进行了比较。结果表明,由于温室气体浓度的增加,导致希腊西部和南部大陆及岛屿地区的 JA2021HW 强度增加,这对极端气温对人类健康的影响具有重要意义。对于该事件的发生概率,无法得出任何变化的有力证据。由于只研究了几天时间尺度上的温室气体直接影响,因此这些说法受到了部分限制。
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The extreme heat wave of late July/early August 2021 in Greece under the context of the direct effect of anthropogenic greenhouse gases

Greece is characterized by a significant warming trend in recent decades, accompanied by increasing frequency, intensity, and duration of heat waves (HWs). A particularly devastating HW that affected the country was the late July/early August 2021 event (JA2021HW), which lasted for 9 days (July 28–August 5). Focusing on the hottest day of the event (August 3), the main characteristics of JA2021HW are presented in the current study, using model reanalysis data and up to 11-year observations derived from the dense network of ground-based weather stations operated by the Meteo Unit at the National Observatory of Athens (NOA). This analysis highlights the severity of JA2021HW, especially in the central and southernmost regions of Greece. Most importantly, the impact of the direct effect of anthropogenic greenhouse gases to the examined extreme event, in terms of intensity and probability of occurrence, is examined by employing a regional 31-member ensemble (ENS) modeling approach based on Weather Research and Forecasting (WRF) model, which is operationally used by NOA/Meteo. Firstly, WRF is validated under 7-day lead-time ENS simulations with current-state greenhouse gas (GHG) concentrations (GHG_2021 ENS), showing a robust model performance in replicating the JA2021HW's magnitude on August 3rd. Then, 7-day lead-time ENS simulations with the GHG concentrations reduced to the pre-industrial (1854) levels (GHG_1854 ENS) are performed and compared to the GHG_2021 ENS experiment. The results reveal a contribution of the immediate anthropogenic warming due to the increased GHG concentrations to the JA2021HW intensity in West and South continental and insular Greece, which can be important in the framework of the human health impacts of extreme temperatures. For the event's occurrence probability, no robust evidence of any change could be derived. These statements are partially constrained by the fact that only the direct GHG effect on the timescale of a few days was examined.

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来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
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