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DOI | 10.1002/joc.5801 |
Accounting for missing data in monthly temperature series: Testing rule-of-thumb omission of months with missing values | |
Anderson, Conor I.; Gough, William A. | |
2018-11-15 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:13页码:4990-5002 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | The 3/5 rule is a commonly used rule-of-thumb for dealing with missing data when calculating monthly climate normals. The rule states that any month that is missing more than three consecutive daily values, or more than five daily values in total, should not be included in calculated monthly climate normals. We quantify the impact of missing data in a given year-month for between 1 and 25 missing values. As such, we describe the error the 3/5 rule (and a related rule that we have dubbed the 4/10 rule) permits. We tested the statistical robustness of these rules using observed temperature data from a temperate station and a tropical station. We show that, for observed data, the 3/5 rule permits an average of between 0.06 and 0.07 standard deviations of error in the calculated monthly mean () when three consecutive or five random values are missing. For its part, the 4/10 rule permits a maximum of between 0.07 and 0.09 when four consecutive values are missing, or up to 0.10 when 10 random values are missing. The proportional impact of missing values was similar across variables. We performed a correlation analysis and show that each additional missing value from a year-month of data increases by between 0.008 and 0.018 for up to 19 missing values. There is a significant relationship between the lag-1 autocorrelation of a year-month, and . can be reduced by simple linear interpolation when values are missing at random and the year-month exhibits lag-1 autocorrelation. Overall, we find that the application of any rule-of-thumb should be based on the particular characteristics of the source data and the goals of the research project. |
英文关键词 | data gaps missing values monthly series temperature 3/5 rule |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000450222100022 |
WOS关键词 | CLIMATE DATA ; SPATIAL INTERPOLATION ; AIR-TEMPERATURE ; TORONTO ; CANADA |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/36910 |
专题 | 气候变化 |
作者单位 | Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada |
推荐引用方式 GB/T 7714 | Anderson, Conor I.,Gough, William A.. Accounting for missing data in monthly temperature series: Testing rule-of-thumb omission of months with missing values[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(13):4990-5002. |
APA | Anderson, Conor I.,&Gough, William A..(2018).Accounting for missing data in monthly temperature series: Testing rule-of-thumb omission of months with missing values.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(13),4990-5002. |
MLA | Anderson, Conor I.,et al."Accounting for missing data in monthly temperature series: Testing rule-of-thumb omission of months with missing values".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.13(2018):4990-5002. |
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