7月至9月连续干旱日的情景依赖未来趋势:以匈牙利为例研究

IF 2.8 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Anna Kis, Rita Pongrácz
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引用次数: 0

摘要

利用日降水量3毫米(CDD3)的阈值分析了2004-2100年期间匈牙利7月至9月的最大连续干旱日数。夏季是匈牙利最潮湿的季节,在植物生长过程中起着关键作用;因此,预测这几个月潜在干旱条件的增加是非常重要的。本研究的一个新颖之处是分析CDD3,它很好地代表了极端干旱,并且具有从日降水量计算的优势。HuClim数据集用于调查过去(即1971-2023年),而对于未来(2041-2100年),考虑到三种不同的RCP情景(RCP2.6, RCP4.5和RCP8.5),分析了六个区域气候模式模拟的多模式平均值。为了消除气候模式模拟的系统误差,对计算指数进行了简单的偏校正。根据我们的研究结果,2004-2023年CDD3的平均值为21天,到2081-2100年,如果考虑RCP8.5情景,CDD3的平均值可能超过25天。中等长的CDD3可能发生的频率较低,但在RCP8.5的情况下,预计在21世纪末的20年期间内,匈牙利中部地区将在4年以上的时间内发生极端长的CDD3。与目前的条件相比,RCP2.6情景没有显示出实质性的变化,而在RCP4.5情景中,最大的干燥趋势是在2061-2080期间模拟的。总体而言,在RCP4.5和RCP8.5的情况下,预计未来几十年将出现更频繁和更强烈的干旱期。这可能对农业产生不利影响(例如,产量损失),这突出了适应战略的重要性,因为粮食安全是一个关键问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Scenario-Dependent Future Trends of Consecutive Dry Days From July to September: A Case Study for Hungary

Scenario-Dependent Future Trends of Consecutive Dry Days From July to September: A Case Study for Hungary

Scenario-Dependent Future Trends of Consecutive Dry Days From July to September: A Case Study for Hungary

Scenario-Dependent Future Trends of Consecutive Dry Days From July to September: A Case Study for Hungary

Scenario-Dependent Future Trends of Consecutive Dry Days From July to September: A Case Study for Hungary

The maximum number of consecutive dry days using the threshold of 3 mm (CDD3) of daily precipitation is analysed for Hungary from July to September for the period 2004–2100. Summer is the wettest season in Hungary and has a key role in the growing processes of plants; therefore, the projected increase of potential drought conditions in these months is highly important. One of the novelties of the present study is analysing CDD3, which represents extreme drought well and has the advantage of being calculated from daily precipitation. The HuClim dataset is used for investigating the past (i.e., 1971–2023), while for the future (2041–2100) the multi-model mean of six regional climate model simulations is analysed, taking into account three different RCP scenarios (RCP2.6, RCP4.5 and RCP8.5). In order to eliminate the systematic errors of climate model simulations, a simple bias-correction was applied to the calculated index. According to our results, the average value of CDD3 was 21 days in 2004–2023, and by 2081–2100 it can exceed 25 days if the RCP8.5 scenario is taken into account. Moderate long CDD3 is likely to occur less frequently, but extreme long CDD3 is projected to occur in more than 4 years within a 20-year-long period by the end of the 21st century in the central parts of Hungary, in the case of RCP8.5. The RCP2.6 scenario does not show substantial changes compared to the present conditions, while in the case of RCP4.5 the greatest drying trend is simulated for the period 2061–2080. Overall, more frequent and more intense drought periods are projected for the next decades in the case of RCP4.5 and RCP8.5. This may induce adverse effects on agriculture (e.g., yield loss), which highlights the importance of adaptation strategies, as food security is a key issue.

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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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