Estimation of Uncertainty in Temperature Observations Made at Meteorological Stations Using a Probabilistic Spatiotemporal Approach
文献类型：SCI/SSCI论文
| 作者 | Xu C. D. ; Wang J. F. ; Hu M. G. ; Li Q. X. |
| 发表日期 | 2014 |
| 关键词 | particulate matter distributions quality-assurance procedures climate data spatial interpolation precipitation china performance system series |
| 英文摘要 | A probabilistic spatiotemporal approach based on a spatial regression test (SRT-PS) is proposed for the quality control of climate data. It provides a quantitative probability that represents the uncertainty in each temperature observation. The assumption of SRT-PS is that there might be large uncertainty in the station record if there is a large residual difference between the record estimated in the spatial regression test and the true station record. The result of SRT-PS is expressed as a confidence probability ranging from 0 to 1, where a value closer to 1 indicates less uncertainty. The potential of SRT-PS to estimate quantitatively the uncertainty in temperature observations was demonstrated using an annual temperature dataset for China for the period 1971-2000 with seeded errors. SRT-PS was also applied to assess a real dataset, and was compared with two traditional quality control approaches: biweight mean and biweight standard deviation and SRT. The study provides a new approach to assess quantitatively the uncertainty in temperature observations at meteorological stations. |
| 出处 | Journal of Applied Meteorology and Climatology |
| 卷 | 53 |
| 期 | 6 |
| 页 | 1538-1546 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1558-8424 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/29492]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Xu C. D.,Wang J. F.,Hu M. G.,et al. Estimation of Uncertainty in Temperature Observations Made at Meteorological Stations Using a Probabilistic Spatiotemporal Approach. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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