Assessment of mean precipitation and precipitation extremes in Iran as simulated by dynamically downscaled RegCM4

IF 1.9 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Dynamics of Atmospheres and Oceans Pub Date : 2024-02-23 DOI:10.1016/j.dynatmoce.2024.101452
Azar Zarrin, Abbasali Dadashi-Roudbari
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Abstract

This paper aims to assess the mean precipitation and precipitation extremes over Iran as simulated by the Regional Climate Model (RegCM4). A simulation spanning 20 years (1991–2010) at a horizontal resolution of 20 Km is driven by the NCEP / NCAR reanalysis. We evaluated the model by comparing simulated precipitation with observations using Bias, Root-Mean-Square Error, and Index of Agreement metrics. We examined the extreme precipitations based on a set of extreme indices recommended by the Expert Team on Climate Change Detection and Indices (ETCCDI) in three categories of intensity (Rx1day and SDII), duration (CDD and CWD), and frequency (R10mm and R20mm). The linear trends are calculated using the Theil–Sen estimator method, and the statistical significance (95% confidence level) is determined by using a modified Mann-Kendall (MMK) trend test. The RegCM4 model satisfactory captured the spatial distribution of precipitation and precipitation extremes, although high bias remained in small parts of Iran, including the northwest and southeast. The northwest bias is due to spring convectional precipitation and the southeast bias could be caused by precipitation from the Asian summer monsoon system, which both of them may not be well simulated by the applied Grell convective scheme. Results indicate that the model reasonably captures Rx1day, SDII, CWD, R10mm, and R20mm Indices over Iran. In good agreement with precipitation observations, the southern coast of the Caspian Sea represents the second-highest extreme precipitation, except for SDII, which is probably due to the high frequency of rainy days in this region. The highest CDD of more than 200 days is found in the arid and semi-arid regions of the southeast. In general, precipitation decreased in most regions of Iran, especially the western, southern, and interior regions. In addition, the results reveal that heavy (R10mm) and very heavy (R20mm) precipitation events have also decreased in the same regions. Results also emphasize an increase in consecutive dry days (CDD) in most parts, especially in the southeast, which deserves more attention in future research. The decreasing trend of precipitation and the increasing trend of CDD show that Iran has become drier in the 2000 s compared to the 1990 s

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伊朗平均降水量和极端降水量的评估(RegCM4动态降尺度模拟结果
本文旨在评估区域气候模式(RegCM4)模拟的伊朗平均降水量和极端降水量。模拟时间跨度为 20 年(1991-2010 年),水平分辨率为 20 千米,由 NCEP / NCAR 再分析驱动。我们使用偏差、均方根误差和一致指数指标对模型的模拟降水量和观测数据进行了比较评估。我们根据气候变化探测和指数专家组(ETCCDI)推荐的一套极端指数,从强度(Rx1 天和 SDII)、持续时间(CDD 和 CWD)和频率(R10 毫米和 R20 毫米)三个类别对极端降水进行了研究。线性趋势采用 Theil-Sen 估算法计算,统计显著性(95% 置信度)采用修正的 Mann-Kendall (MMK) 趋势检验法确定。RegCM4 模型令人满意地捕捉到了降水和极端降水的空间分布,但在伊朗西北部和东南部等小部分地区仍存在较高偏差。西北部偏差是由于春季对流降水造成的,东南部偏差可能是由亚洲夏季季风系统降水造成的,而应用的 Grell 对流方案可能无法很好地模拟这两种降水。结果表明,该模式合理地捕捉了伊朗上空的 Rx1day、SDII、CWD、R10mm 和 R20mm 指数。与降水观测结果非常吻合的是,里海南部沿岸的极端降水量位居第二,但 SDII 除外,这可能是由于该地区的雨日频率较高。东南部干旱和半干旱地区的 CDD 最高,超过 200 天。总体而言,伊朗大部分地区降水量减少,尤其是西部、南部和内陆地区。此外,研究结果还显示,这些地区的暴雨(10 毫米)和特大暴雨(20 毫米)也有所减少。结果还显示,大部分地区的连续干旱日(CDD)有所增加,尤其是东南部地区,这值得在今后的研究中给予更多关注。降水量的减少趋势和连续干旱日的增加趋势表明,与 1990 年代相比,伊朗在 2000 年代变得更加干旱。
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来源期刊
Dynamics of Atmospheres and Oceans
Dynamics of Atmospheres and Oceans 地学-地球化学与地球物理
CiteScore
3.10
自引率
5.90%
发文量
43
审稿时长
>12 weeks
期刊介绍: Dynamics of Atmospheres and Oceans is an international journal for research related to the dynamical and physical processes governing atmospheres, oceans and climate. Authors are invited to submit articles, short contributions or scholarly reviews in the following areas: •Dynamic meteorology •Physical oceanography •Geophysical fluid dynamics •Climate variability and climate change •Atmosphere-ocean-biosphere-cryosphere interactions •Prediction and predictability •Scale interactions Papers of theoretical, computational, experimental and observational investigations are invited, particularly those that explore the fundamental nature - or bring together the interdisciplinary and multidisciplinary aspects - of dynamical and physical processes at all scales. Papers that explore air-sea interactions and the coupling between atmospheres, oceans, and other components of the climate system are particularly welcome.
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