Climate Change Data Portal
| DOI | 10.1007/s00704-024-04921-x |
| Statistical downscaling of GCMs wind speed data for trend analysis of future scenarios: a case study in the Lombardy region | |
| 发表日期 | 2024 |
| ISSN | 0177-798X |
| EISSN | 1434-4483 |
| 英文摘要 | Near-surface wind speed is a key climatic variable, affecting many sectors, such as energy production, air pollution, and natural hazard. Lombardy region of Italy is among the European areas with lowest average wind speed, leading generally to low air quality and wind energy potential. However, it is also one of the most affected area by tornadoes in Italy. Here we investigate possible changes in wind circulation as due to prospective global warming. We analysed wind speed WS under future scenarios (SSP1-2.6 and SSP5-8.5) from six Global Climate Models (GCMs) until 2100, tuned against observed WS data. We employed a statistical downscaling method, namely Stochastic Time Random Cascade (STRC) to correct locally GCMs outputs. Three statistical tests, i.e. Linear Regression, Mann Kendall, Moving Window Average, were carried out to analyse future trends of: annual WS averages, 95th quantile (as an indicator of large WS), and the number of days of calm wind per year (NWC). The proposed STRC algorithm can successfully adjust the mean, standard deviation, and autocorrelation structure of the GCM outputs. No strong trends are found for the future. The chosen variables would all display non-stationarity, and the 95th percentile display a positive trend for most of the stations. Concerning NWC, notable discrepancies among GCMs are seen. The STRC algorithm can be used to successfully adjust GCMs outputs to reflect locally observed data and to then generate credible long-term scenarios for WSs as a tool for decision-making. |
| 语种 | 英语 |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001183184600002 |
| 来源期刊 | THEORETICAL AND APPLIED CLIMATOLOGY
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/300818 |
| 作者单位 | Polytechnic University of Milan |
| 推荐引用方式 GB/T 7714 | . Statistical downscaling of GCMs wind speed data for trend analysis of future scenarios: a case study in the Lombardy region[J],2024. |
| APA | (2024).Statistical downscaling of GCMs wind speed data for trend analysis of future scenarios: a case study in the Lombardy region.THEORETICAL AND APPLIED CLIMATOLOGY. |
| MLA | "Statistical downscaling of GCMs wind speed data for trend analysis of future scenarios: a case study in the Lombardy region".THEORETICAL AND APPLIED CLIMATOLOGY (2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
