Hydroclimatic representativeness and reassessment of the predictive skill to reconstruct precipitation by the Dryness/ Wetness Index from Chinese historical documents
文献类型：期刊论文
| 作者 | Liu, Yang1,2; Chen, Jianming1,2; Zheng, Jingyun1,2; Hao, Zhixin1,2 |
| 刊名 | JOURNAL OF HYDROLOGY-REGIONAL STUDIES
 |
| 出版日期 | 2024-08-01 |
| 卷号 | 54页码:101883 |
| 关键词 | Dryness/Wetness Index Hydroclimatic representativeness Precipitation reconstruction Historical documents |
| DOI | 10.1016/j.ejrh.2024.101883 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Study region: China Study focus: The Dryness/Wetness Index (DWI) data from China is widely utilized in palaeohydroclimate research. The initial part of this data, covering the years 1470-1979 (original DWI), is primarily generated from records of droughts/floods in historical documents. However, the extended data over 1980-2000 (precipitation-based DWI) is derived entirely from instrumental precipitation measurements. To date, there is no research on the regional differences in hydroclimatic representativeness of the original DWI. Moreover, when reconstructing precipitation using the combined 1470-2000 DWI data as a proxy and calibrating it with instrumental precipitation data post-1950, the overestimated reconstruction skill has not been evaluated. Therefore, utilizing data on crop yield reductions due to drought/flood disasters from 1978 to 2008, we establish the disaster-based DWI following the same method as the original DWI and explore its representativeness and reconstruction skill. New hydrological insights for the region: Disaster-based DWI is more sensitive to precipitation in East Central China, with the seasonal window primarily lasting for five months and distributed between April and September. In contrast, it reflects soil water in the Northeastern, Southeast coastal, and Western regions in China. Additionally, by comparing the average predicted RSquared of summer precipitation reconstruction using precipitation-based DWI and disaster-based DWI (58.6 % and 45.0 %, respectively), we identify an average overestimation of 13.6 %. Even after excluding this inflated R-Squared, the disaster-based DWI remains a highly reliable proxy for precipitation. |
| WOS关键词 | CONNECTION ; DATASET ; RECORDS ; CLIMATE ; REGION ; EUROPE ; ASIA ; AD |
| WOS研究方向 | Water Resources |
| WOS记录号 | WOS:001267061400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206046]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Zheng, Jingyun |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yang,Chen, Jianming,Zheng, Jingyun,et al. Hydroclimatic representativeness and reassessment of the predictive skill to reconstruct precipitation by the Dryness/ Wetness Index from Chinese historical documents[J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES,2024,54:101883. |
| APA | Liu, Yang,Chen, Jianming,Zheng, Jingyun,&Hao, Zhixin.(2024).Hydroclimatic representativeness and reassessment of the predictive skill to reconstruct precipitation by the Dryness/ Wetness Index from Chinese historical documents.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,54,101883. |
| MLA | Liu, Yang,et al."Hydroclimatic representativeness and reassessment of the predictive skill to reconstruct precipitation by the Dryness/ Wetness Index from Chinese historical documents".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 54(2024):101883. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
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。