Climate Change Data Portal
| DOI | 10.1002/esp.5818 |
| Development of high-resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050 | |
| 发表日期 | 2024 |
| ISSN | 0197-9337 |
| EISSN | 1096-9837 |
| 英文摘要 | Precipitation has a fundamental influence on landscape evolution and erosion rates. Accurate predictions of precipitation changes are crucial for landscape evolution modelling and erosion modelling. The Tianshan Mountains are known as the 'Water Tower in Central Asia', where precipitation is the main water supply for the surrounding lakes and rivers and also supports the population and economic development in the plain areas. This study developed a global climate model (GCM) and digital elevation model (DEM)-based downscaling method and simulated high-resolution monthly precipitation in Tianshan from 2000 to 2050, with a resolution of 90 m. The datasets developed from 30 surface observation stations had a high degree of precision and simulated the precipitation processes well in the historical period. The simulation results indicated that precipitation will increase at a rate of 11 mm/decade under the SSP245 scenario and 5 mm/decade under the RCP4.5 scenario from 2022 to 2050. Spatially, precipitation was projected to increase in the central and eastern regions and decrease in the western region. In the Kaidu, Urumqi and Manas river basins in the central Tianshan Mountains, precipitation was projected to increase at a rate of 20 mm/decade. The datasets developed here have important theoretical and practical implications for water resource management, and sustainable development in Central Asia. This research developed a new downscaling method to simulate high-resolution precipitation datasets in the Tianshan Mountains from 2000 to 2050, with a temporal resolution of 1 month and a spatial resolution of 90 m. In the next 30 years, the precipitation will increase more than in the past, with 11 mm/decade under the SSP245 scenario and 5 mm/decade under the RCP4.5 scenario. Spatially, the precipitation will increase in central and eastern regions and decrease in western regions. image |
| 英文关键词 | downscaling; precipitation dataset; RCP4.5 scenario; SSP245 scenario; Tianshan Mountains |
| 语种 | 英语 |
| WOS研究方向 | Physical Geography ; Geology |
| WOS类目 | Geography, Physical ; Geosciences, Multidisciplinary |
| WOS记录号 | WOS:001188347700001 |
| 来源期刊 | EARTH SURFACE PROCESSES AND LANDFORMS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/303016 |
| 作者单位 | Nanjing University of Information Science & Technology; East China Normal University; Chinese Academy of Sciences; Xinjiang Institute of Ecology & Geography, CAS; Nanjing University of Information Science & Technology |
| 推荐引用方式 GB/T 7714 | . Development of high-resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050[J],2024. |
| APA | (2024).Development of high-resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050.EARTH SURFACE PROCESSES AND LANDFORMS. |
| MLA | "Development of high-resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050".EARTH SURFACE PROCESSES AND LANDFORMS (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。
