Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing
文献类型：期刊论文
| 作者 | Xie, Mingjuan; Ma, Xiaofei; Wang, Yuangang; Li, Chaofan; Shi, Haiyang; Yuan, Xiuliang; Hellwich, Olaf; Chen, Chunbo; Zhang, Wenqiang; Zhang, Chen |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2023 |
| 卷号 | 10期号:1 |
| 英文摘要 | Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R2), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002-2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983-2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics. |
| 源URL | [http://210.75.249.4/handle/363003/61580]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 推荐引用方式 GB/T 7714 | Xie, Mingjuan,Ma, Xiaofei,Wang, Yuangang,et al. Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing[J]. SCIENTIFIC DATA,2023,10(1). |
| APA | Xie, Mingjuan.,Ma, Xiaofei.,Wang, Yuangang.,Li, Chaofan.,Shi, Haiyang.,...&Luo, Geping.(2023).Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing.SCIENTIFIC DATA,10(1). |
| MLA | Xie, Mingjuan,et al."Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing".SCIENTIFIC DATA 10.1(2023). |
入库方式： OAI收割
来源：西北高原生物研究所
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