利用多模型组合预测古巴群岛周围的风浪

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Theoretical and Applied Climatology Pub Date : 2024-07-04 DOI:10.1007/s00704-024-05093-4
Axel Hidalgo-Mayo, Ida Mitrani-Arenal, Alejandro Vichot-Llano
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引用次数: 0

摘要

介绍了风浪机制的统计降尺度。研究对象是古巴群岛的中期(2031-2060 年)和长期(2061-2090 年)与 1976-2005 年历史时期的对比。采用了 RCP4.5 和 RCP8.5 情景下的 CMIP5 模型的多模型组合。通过 BIAS 校正(delta 和经验量级绘图)和多元回归对风浪机制进行预测,确定系数为 88.3%,残差标准偏差为 0.11,平方均值误差为 0.29。根据统计降尺度,古巴群岛西部的年平均风速和波高发生了显著变化。与波高有关的极端气候变化指标显示,未来古巴海洋气候的表现形式具有相似性,中 部和东部地区北海岸的变化最为显著。
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Projected wind and waves around the Cuban archipelago using a multimodel ensemble

A statistical downscaling of wind and wave regimes is presented. The study is around the Cuban archipelago for the mid-term (2031–2060) and the long-term (2061–2090) with respect to the historical period 1976–2005. A multimodel ensemble of CMIP5 models under the RCP4.5 and the RCP8.5 scenarios is used. Projections of the wind and wave regimes are projected through the BIAS correction (delta and empirical quantile mapping), and multiple regression with a determination coefficient of 88.3%, a residual standard deviation of 0.11, and a square mean error of 0.29. According to the statistical downscaling, the mean annual wind speed and the wave height showed significant changes in the western part of the Cuban archipelago. The extreme indicators of climate change referred to significant wave height show similarity in the representation of the future Cuban marine climate, which would have the most accentuated changes on the north coast of the central and eastern regions.

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来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
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