Estimation of Instantaneous Air Temperature under All-Weather Conditions Based on MODIS Products in North and Southwest China
文献类型：期刊论文
| 作者 | Wang, Yuanxin; Liu, Jinxiu; Zhu, Wenbin |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-05-23 |
| 卷号 | 15期号:11页码:2701 |
| 关键词 | instantaneous air temperature atmospheric temperature profile multiple linear regression model land surface temperature MODIS |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs15112701 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Air temperature (T-a) is a common meteorological element involved in many fields, such as surface energy exchange and water circulation. Consequently, accurate T-a estimation is essential for the establishment of hydrological, climate, and environmental models. Unlike most studies concerned with the estimation of daily T-a from land surface temperature, this study focused on the estimation of instantaneous T-a from Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric profile products aboard the Terra and Aqua satellites. The applicability of various estimation methods was examined in two regions with different geomorphological and climate conditions, North and Southwest China. Specifically, the spatiotemporal trend of T-a under clear sky conditions can be reflected by the atmospheric profile extrapolation and average methods. However, the accuracy of T-a estimation was poor, with root mean square error (RMSE) ranging from 3.5 to 5.2 degrees C for North China and from 4.0 to 7.7 degrees C for Southwest China. The multiple linear regression model significantly improved the accuracy of Ta estimation by introducing auxiliary data, resulting in RMSE of 1.6 and 1.5 degrees C in North China and RMSE of 2.2 and 2.3 degrees C in Southwest China for the Terra and Aqua datasets, respectively. Since atmospheric profile products only provide information under clear sky conditions, a new multiple linear regression model was established to estimate the instantaneous T-a under cloudy sky conditions independently from atmospheric profile products, resulting in RMSE of 1.9 and 1.9 degrees C in North China and RMSE of 2.5 and 2.8 degrees C in Southwest China, for the Terra and Aqua datasets, respectively. Finally, instantaneous T-a products with high accuracy were generated for all-weather conditions in the study regions to analyze their Ta spatial patterns. The accuracy of T-a estimation varies depending on MODIS datasets, regions, elevation, and land cover types. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; URBAN HEAT-ISLAND ; DAILY MAXIMUM ; INDEX ; EVAPOTRANSPIRATION ; TERRESTRIAL ; DAYTIME ; BASIN |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193786]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Academy of Sciences 2.China University of Geosciences 3.Institute of Geographic Sciences & Natural Resources Research, CAS |
| 推荐引用方式 GB/T 7714 | Wang, Yuanxin,Liu, Jinxiu,Zhu, Wenbin. Estimation of Instantaneous Air Temperature under All-Weather Conditions Based on MODIS Products in North and Southwest China[J]. REMOTE SENSING,2023,15(11):2701. |
| APA | Wang, Yuanxin,Liu, Jinxiu,&Zhu, Wenbin.(2023).Estimation of Instantaneous Air Temperature under All-Weather Conditions Based on MODIS Products in North and Southwest China.REMOTE SENSING,15(11),2701. |
| MLA | Wang, Yuanxin,et al."Estimation of Instantaneous Air Temperature under All-Weather Conditions Based on MODIS Products in North and Southwest China".REMOTE SENSING 15.11(2023):2701. |
入库方式： OAI收割
来源：地理科学与资源研究所
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