| 一种基于改进克里金法的地面气温质量控制算法 |
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| 引用本文： | 叶小岭,沈云培,熊雄.一种基于改进克里金法的地面气温质量控制算法[J].气候与环境研究,2016,21(5):614-620. |
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| 作者姓名： | 叶小岭 沈云培 熊雄 |
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| 作者单位： | 南京信息工程大学信息与控制学院, 南京 210044;南京信息工程大学气象灾害预报预警与评估协同创新中心, 南京 210044,南京信息工程大学信息与控制学院, 南京 210044 |
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| 基金项目： | 国家自然科学基金项目41675156，江苏省高校优势学科建设工程资助项目PAPD，江苏省六大人才高峰项目WLW-021 |
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| 摘 要： | 依据气温间的空间相关性,将地统计学中的普通克里金法(Ordinary Kriging,OK)引入地面气温资料的质量控制。考虑气温在空间上的连续性,提出一种基于高斯模型改进的普通克里金(Improved Ordinary Kriging,IOK)质量控制方法。为评估该方法的性能,运用IOK法对江苏省67个台站2008年地面日平均气温资料进行质量控制,并与OK法以及反距离加权法(Inverse Distance Weighted,IDW)进行比较。试验结果表明,IOK法的检验效果优于OK法与IDW法,且稳定性与适用性较高,能有效地标记出气温观测数据中的可疑数据。
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| 关 键 词： | 地面气温 质量控制 高斯模型 改进的普通克里金法 反距离加权法 |
| 收稿时间： | 2015/12/1 0:00:00 |
A Quality Control Algorithm for Surface Temperature Observations Based on Improved Kriging Method |
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| YE Xiaoling,SHEN Yunpei and XIONG Xiong.A Quality Control Algorithm for Surface Temperature Observations Based on Improved Kriging Method[J].Climatic and Environmental Research,2016,21(5):614-620. |
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| Authors: | YE Xiaoling SHEN Yunpei and XIONG Xiong |
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| Institution: | School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044,School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044 and Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044 |
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| Abstract: | A method called Ordinary Kriging (OK) in Geostatistics was introduced for quality control of surface temperature observations based on spatial correlation of temperature. Due to the continuity of temperature, Gaussian model was chosen as the semi-variogram model. Because of some possible disadvantages in applying Gaussian model, it is necessary to improve Gaussian model. A quality control method based on Improved Ordinary Kriging (IOK) was developed in this study. In order to assess the effectiveness and applicability of the proposed method, daily mean surface temperature observations collected at 67 stations in Jiangsu Province were used for quality control, and the results were compared with that from OK and Inverse Distance Weighted (IDW) methods. It was found that IOK performs better than IDW and OK in error checking, and the proposed method can effectively identify errors in temperature data. In addition, IOK also has higher stability and applicability. |
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| Keywords: | Surface temperature Quality control Gaussian model Improved ordinary Kriging method Inverse distance weighted method |
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