A global historical twice-daily (daytime and nighttime) land surfacetemperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021
文献类型：期刊论文
| 作者 | Li, Jia-Hao; Li, Zhao-Liang; Liu, Xiangyang; Duan, Si-Bo |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2023-05-31 |
| 卷号 | 15期号:5页码:2189-2212 |
| ISSN号 | 1866-3516 |
| DOI | 10.5194/essd-15-2189-2023 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Land surface temperature (LST) is a key variable for monitoring and evaluating global long-term climate change. However, existing satellite-based twice-daily LST products only date back to 2000, which makes it difficult to obtain robust long-term temperature variations. In this study, we developed the first global historical twice-daily LST dataset (GT-LST), with a spatial resolution of 0.05 degrees, using Advanced Very High Resolution Radiometer (AVHRR) Level-1b Global Area Coverage (GAC) data from 1981 to 2021. The GT-LST product was generated using four main processes: (1) GAC data reading, calibration, and preprocessing using opensource Python libraries; (2) cloud detection using the AVHRR-Phase I algorithm; (3) land surface emissivity estimation using an improved method considering annual land cover changes; (4) LST retrieval based on a nonlinear generalized split-window algorithm. Validation with in situ measurements from Surface Radiation Budget (SURFRAD) sites and Baseline Surface Radiation Network sites showed that the overall root-mean-square errors (RMSEs) of GT-LST varied from 1.6 to 4.0 K, and nighttime LSTs were typically better than daytime LSTs. Intercomparison with the Moderate Resolution Imaging Spectroradiometer LST products (MYD11A1 and MYD21A1) revealed that the overall root-mean-square difference (RMSD) was approximately 3.0 K. Compared with MYD11A1 LST, GT-LST was overestimated, and relatively large RMSDs were obtained during the daytime, spring, and summer, whereas the significantly smaller positive bias was obtained between GT-LST and MYD21A1 LST. Furthermore, we compared our newly generated dataset with a global AVHRR daytime LST product at the selected measurements of SURFRAD sites (i.e., measurements of these two satellite datasets were valid), which revealed similar accuracies for the two datasets. However, GT-LST can additionally provide night-time LST, which can be combined with daytime observations estimating relatively accurate monthly mean LST, with an RMSE of 2.7 K. Finally, we compared GT-LST with a regional twice-daily AVHRR LST product over continental Africa in different seasons, with RMSDs ranging from 2.1 to 4.3 K. Considering these advantages, the proposed dataset provides a better data source for a range of research applications. GT-LST is freely available at https://doi.org/10.5281/zenodo.7113080 (1981-2000) (Li et al., 2022a), https://doi.org/10.5281/zenodo.7134158 (2001-2005) (Li et al., 2022b), and https://doi.org/10.5281/zenodo.7813607 (2006-2021) (J. H. Li et al., 2023). |
| 学科主题 | Geology ; Meteorology & Atmospheric Sciences |
| WOS关键词 | SURFACE EMISSIVITY RETRIEVAL ; SPLIT-WINDOW ALGORITHM ; SOIL-MOISTURE ; TEMPERATURE ; VALIDATION ; RECORD ; COVERAGE ; SURFRAD ; CLOUD ; ASTER |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193774]  |
| 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.Chinese Academy of Sciences 2.Institute of Geographic Sciences & Natural Resources Research, CAS 3.University of Chinese Academy of Sciences, CAS 4.Chinese Academy of Agricultural Sciences 5.Institute of Agricultural Resources & Regional Planning, CAAS |
| 推荐引用方式 GB/T 7714 | Li, Jia-Hao,Li, Zhao-Liang,Liu, Xiangyang,et al. A global historical twice-daily (daytime and nighttime) land surfacetemperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021[J]. EARTH SYSTEM SCIENCE DATA,2023,15(5):2189-2212. |
| APA | Li, Jia-Hao,Li, Zhao-Liang,Liu, Xiangyang,&Duan, Si-Bo.(2023).A global historical twice-daily (daytime and nighttime) land surfacetemperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021.EARTH SYSTEM SCIENCE DATA,15(5),2189-2212. |
| MLA | Li, Jia-Hao,et al."A global historical twice-daily (daytime and nighttime) land surfacetemperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021".EARTH SYSTEM SCIENCE DATA 15.5(2023):2189-2212. |
入库方式： OAI收割
来源：地理科学与资源研究所
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