CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data
文献类型：期刊论文
| 作者 | Jing, Ye1,2; Bai, Peng2; Yang, Zelong1,2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2025-06-01 |
| 卷号 | 654页码:132854 |
| 关键词 | Surface net radiation Net radiation Energy balance Net radiation dataset |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2025.132854 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Surface net radiation (Rn) is a key variable for studying the energy available at the Earth's surface, essential in atmospheric, water, and carbon cycle research. Despite the existence of global Rn products, they often encounter issues such as data gaps, low resolution, and significant uncertainty. In this study, we developed a high spatial resolution (0.05 degrees x0.05 degrees) daily Rn dataset for China from 2000 to 2019 using routine meteorological data and remotely sensed albedo. To ensure the reliability of the dataset, we tested various net shortwave and longwave algorithms with ground-based measurements and selected an optimal combination to generate this dataset (hereafter named CHiRAD). Validation against Rn observations from 43 flux towers across China demonstrated the remarkable accuracy of CHiRAD, with a Kling Gupta efficiency (KGE) of 0.81, a percentage of bias (Pbias) of 0.38 %, and a root mean square error (RMSE) of 37.10 W m- 2. CHiRAD outperforms two commonly used Rn products: ERA5-Land (KGE = 0.73, Pbias = -7.81 %, RMSE = 41.24 W m- 2) and GLASS-AVHRR (KGE = 0.73, Pbias = 1.92 %, RMSE = 36.76 W m- 2). This dataset, available at https://doi.org/10.5281/zenodo.12605405, offers valuable input for various land surface and hydrological models, with broad application in hydrology, climatology, ecology, and other related fields. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; GLOBAL SOLAR-RADIATION ; LONG-WAVE-RADIATION ; DAYTIME |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001430834500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213361]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Bai, Peng |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Jing, Ye,Bai, Peng,Yang, Zelong. CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data[J]. JOURNAL OF HYDROLOGY,2025,654:132854. |
| APA | Jing, Ye,Bai, Peng,&Yang, Zelong.(2025).CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data.JOURNAL OF HYDROLOGY,654,132854. |
| MLA | Jing, Ye,et al."CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data".JOURNAL OF HYDROLOGY 654(2025):132854. |
入库方式： OAI收割
来源：地理科学与资源研究所
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