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首页> 外文期刊>American Journal of Climate Change >Assessment of CMIP3-CMIP5 Climate Models Precipitation Projection and Implication of Flood Vulnerability of Bangkok
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Assessment of CMIP3-CMIP5 Climate Models Precipitation Projection and Implication of Flood Vulnerability of Bangkok

机译:CMIP3-CMIP5气候模式降水预测的评估及其对曼谷洪水脆弱性的影响

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Reliable estimates of precipitation are essential for both research and practical applications. CMIP3 and CMIP5 climate simulations provide both historical simulations and future projections of extreme climate. The 2011 monsoon season was one of case studies with exceptionally heavy and led to extensive and long-lasting flooding in the Chao Phraya river basin, Thailand. Flooding was exacerbated by the rapid expansion of urban areas into flood plains and was the costliest natural disaster in the country’s history, with direct damages estimated at US$45 billion. The present paper focuses on the precipitation downscaling of CMIP3 and CMIP5 models. The majority of CMIP3 and CMIP5 models overestimate the dry spell (in June and July) and underestimate the peak precipitation (in May and September). The interquartile model range for precipitation, which is spanned by the 25th and 75th quantiles, is closer to the observed data for CMIP5 than CMIP3 models. However, overall results suggest that the performance of CMIP5 models cannot be readily distinguished from of CMIP3 models, although there are clear signals of improvements over Bangkok. The correlation coefficient is found between 0.6 - 0.8, implying that most of the models simulate the mean rainfall reasonably well. Both model generations have approximately the same standard deviation as observed, but more spatial variability and more RMS error are found for the future projections. Use of the Multi Model mean shows continuously increased rainfall from the near future to the far future while the Multi Model Median shows increased rainfall only for the far future. These findings in changing precipitation are discussed through the flood behavior in 2011. Results from flood simulation with several adaptation measures reveal that flood cannot be completely avoided. One of the best practices for highflood risk communities is to raise the house with open space in the first floor.
机译:可靠的降水估算对于研究和实际应用都是必不可少的。 CMIP3和CMIP5气候模拟提供了历史模拟以及极端气候的未来预测。 2011年的季风季节是个案研究之一,其异常沉重,并导致泰国湄南河流域发生广泛而持久的洪水。城市迅速扩展到洪泛区,加剧了洪水泛滥,是该国历史上最昂贵的自然灾害,直接损失估计为450亿美元。本文着重于CMIP3和CMIP5模型的降水缩减。大部分CMIP3和CMIP5模型高估了干旱季节(6月和7月),而低估了峰值降水量(5月和9月)。降水的四分位数模型范围(由第25和第75个分位数跨越)比CMIP3模型更接近CMIP5的观测数据。但是,总体结果表明,尽管有明显的信号表明曼谷有改进的迹象,但CMIP5模型的性能无法与CMIP3模型区分开。相关系数在0.6-0.8之间,这意味着大多数模型都可以较好地模拟平均降雨量。两种模型代均具有与观察到的大致相同的标准偏差,但对于未来的预测发现更多的空间变异性和更多的RMS误差。使用多模型均值显示从不久的将来到遥远的将来降雨持续增加,而“多模型中位数”仅显示在不久的将来降雨增加。在2011年的洪水行为中讨论了这些降水变化的发现。洪水模拟和几种适应措施的结果表明,洪水是无法完全避免的。高洪灾风险社区的最佳做法之一是在一楼开放空间的情况下抬高房屋。

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