Reconstruction of the hourly fine-resolution apparent temperature (Humidex) with the aerodynamic parameters
文献类型：期刊论文
| 作者 | Wu, Xilin4; Ge, Yong3,4; Gong, Daoyi2; Zhang, Xining4; Hu, Shan4; Liu, Qingsheng |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2023-03-25 |
| 卷号 | 866 |
| 关键词 | Apparent temperature Reconstruction model Numerical simulation data Fine spatiotemporal resolution Aerodynamic parameters Downscaling |
| ISSN号 | 1879-1026 |
| DOI | 10.1016/j.scitotenv.2022.161253 |
| 文献子类 | Article |
| 英文摘要 | Apparent temperature is the preferred measure of hotness or coldness expressed to depict the human sense. Spatially explicit measurement of the hourly apparent temperature is essential for capturing the threats to bioclimatic comfort and preventing potential mortality/morbidity risk from heat or cold. However, existing apparent temperature products only provide daily observations at the spatial resolution of several dozen kilometers, resulting in some substantial underestimations for some life-threatening thermal stresses highly localized in space and time. Furthermore, some datadriven models lack mechanical constraints on the turbulent exchange between the surface and the atmosphere, making some unsatisfactory accuracy. Here, we propose Humidex reconstruction model incorporating atmospheric dynamics theory and aerodynamic parameters (i.e., heat and momentum roughness lengths for natural surfaces and three urban canopy geometry parameters for artificial surfaces), capable of developing an hourly dataset at fine-grained spatial resolution (0.01 degrees x 0.01 degrees). In this study, a total of 2952 h in four seasons were selected to test the seasonal performance of this model, taking the Yangtze River Delta as an example. The results show that the Humidex products from this model generally outperform the existing comparable products, with the hourly population root mean square error (RMSE) ranging from 1 to 2 degrees C in winter and autumn and 2-3 degrees C in spring and summer. Moreover, the constraint of aerodynamic parameters can reduce RMSE with a significant margin for each season, up to 2 degrees C, especially in areas with dense woodlands or buildings. In addition, the results demonstrate the excellent performance of this model in capturing short-lived thermal health threats, which are easily overlooked when observed data only provides a daily variation. This indicates that the model can allow researchers and practitioners investigate the fine-grained spatial and temporal evolution of thermal stress and its impact on public health, tourism, learning, and work performance. |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; REGIONAL CLIMATE MODEL ; DAILY AIR-TEMPERATURE ; LEAF-AREA INDEX ; SPATIAL INTERPOLATION ; RELATIVE-HUMIDITY ; NUMERICAL-SIMULATION ; SKIN TEMPERATURE ; NEURAL-NETWORK ; DAILY MAXIMUM |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:000925751300001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190355]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change & Nat Disasters, Beijing 100875, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 3.Univ Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Xilin,Ge, Yong,Gong, Daoyi,et al. Reconstruction of the hourly fine-resolution apparent temperature (Humidex) with the aerodynamic parameters[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,866. |
| APA | Wu, Xilin,Ge, Yong,Gong, Daoyi,Zhang, Xining,Hu, Shan,&Liu, Qingsheng.(2023).Reconstruction of the hourly fine-resolution apparent temperature (Humidex) with the aerodynamic parameters.SCIENCE OF THE TOTAL ENVIRONMENT,866. |
| MLA | Wu, Xilin,et al."Reconstruction of the hourly fine-resolution apparent temperature (Humidex) with the aerodynamic parameters".SCIENCE OF THE TOTAL ENVIRONMENT 866(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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