Estimation of Areal Mean Rainfall in Remote Areas Using B-SHADE Model
文献类型：SCI/SSCI论文
| 作者 | Zhang T.; Li, B. L.; Wang, J. F.; Hu, M. G.; Xu, L. L. |
| 发表日期 | 2016 |
| 关键词 | 3-river headwaters region measuring mission trmm spatial interpolation mountainous terrain precipitation climate radar topography china |
| 英文摘要 | This study presented a method to estimate areal mean rainfall (AMR) using a Biased Sentinel Hospital Based Area Disease Estimation (B-SHADE) model, together with biased rain gauge observations and Tropical Rainfall Measuring Mission (TRMM) data, for remote areas with a sparse and uneven distribution of rain gauges. Based on the B-SHADE model, the best linear unbiased estimation of AMR could be obtained. A case study was conducted for the Three-River Headwaters region in the Tibetan Plateau of China, and its performance was compared with traditional methods. The results indicated that B-SHADE obtained the least estimation biases, with a mean error and root mean square error of -0.63 and 3.48 mm, respectively. For the traditional methods including arithmetic average, Thiessen polygon, and ordinary kriging, the mean errors were 7.11, -1.43, and 2.89 mm, which were up to 1027.1%, 127.0%, and 358.3%, respectively, greater than for the B-SHADE model. The root mean square errors were 10.31, 4.02, and 6.27 mm, which were up to 196.1%, 15.5%, and 80.0%, respectively, higher than for the B-SHADE model. The proposed technique can be used to extend the AMR record to the presatellite observation period, when only the gauge data are available. |
| 出处 | Advances in Meteorology |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1687-9309 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43913]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_生态网络实验室 |
| 推荐引用方式 GB/T 7714 | Zhang T.,Li, B. L.,Wang, J. F.,et al. Estimation of Areal Mean Rainfall in Remote Areas Using B-SHADE Model. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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