Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China
Homogeneity of climate data is the basis for quantitative assessment of climate change. By using the MASH method, this work examined and corrected the homogeneity of the daily data including average, minimum, and maximum temperature and precipitation during 1978–2015 from 404/397 national meteorolog...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2018/4712538 |
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| author | Lingling Shen Li Lu Tianjie Hu Runsheng Lin Ji Wang Chong Xu |
| author_facet | Lingling Shen Li Lu Tianjie Hu Runsheng Lin Ji Wang Chong Xu |
| author_sort | Lingling Shen |
| collection | DOAJ |
| description | Homogeneity of climate data is the basis for quantitative assessment of climate change. By using the MASH method, this work examined and corrected the homogeneity of the daily data including average, minimum, and maximum temperature and precipitation during 1978–2015 from 404/397 national meteorological stations in North China. Based on the meteorological station metadata, the results are analyzed and the differences before and after homogenization are compared. The results show that breakpoints are present pervasively in these temperature data. Most of them appeared after 2000. The stations with a host of breakpoints are mainly located in Beijing, Tianjin, and Hebei Province, where meteorological stations are densely distributed. The numbers of breakpoints in the daily precipitation series in North China during 1978–2015 also culminated in 2000. The reason for these breakpoints, called inhomogeneity, may be the large-scale replacement of meteorological instruments after 2000. After correction by the MASH method, the annual average temperature and minimum temperature decrease by 0.04°C and 0.06°C, respectively, while the maximum temperature increases by 0.01°C. The annual precipitation declines by 0.96 mm. The overall trends of temperature change before and after the correction are largely consistent, while the homogeneity of individual stations is significantly improved. Besides, due to the correction, the majority series of the precipitation are reduced and the correction amplitude is relatively large. During 1978–2015, the temperature in North China shows a rise trend, while the precipitation tends to decrease. |
| format | Article |
| id | doaj-art-d96635578d9447c1b36be112d31ee22c |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-d96635578d9447c1b36be112d31ee22c2025-02-03T05:45:24ZengWileyAdvances in Meteorology1687-93091687-93172018-01-01201810.1155/2018/47125384712538Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North ChinaLingling Shen0Li Lu1Tianjie Hu2Runsheng Lin3Ji Wang4Chong Xu5Beijing Meteorological Information Center, Beijing Meteorological Service, Beijing 100089, ChinaBeijing Meteorological Information Center, Beijing Meteorological Service, Beijing 100089, ChinaBeijing Meteorological Information Center, Beijing Meteorological Service, Beijing 100089, ChinaBeijing Meteorological Information Center, Beijing Meteorological Service, Beijing 100089, ChinaBeijing Climate Center, Beijing Meteorological Service, Beijing 100089, ChinaInstitute of Geology, China Earthquake Administration, Beijing 100029, ChinaHomogeneity of climate data is the basis for quantitative assessment of climate change. By using the MASH method, this work examined and corrected the homogeneity of the daily data including average, minimum, and maximum temperature and precipitation during 1978–2015 from 404/397 national meteorological stations in North China. Based on the meteorological station metadata, the results are analyzed and the differences before and after homogenization are compared. The results show that breakpoints are present pervasively in these temperature data. Most of them appeared after 2000. The stations with a host of breakpoints are mainly located in Beijing, Tianjin, and Hebei Province, where meteorological stations are densely distributed. The numbers of breakpoints in the daily precipitation series in North China during 1978–2015 also culminated in 2000. The reason for these breakpoints, called inhomogeneity, may be the large-scale replacement of meteorological instruments after 2000. After correction by the MASH method, the annual average temperature and minimum temperature decrease by 0.04°C and 0.06°C, respectively, while the maximum temperature increases by 0.01°C. The annual precipitation declines by 0.96 mm. The overall trends of temperature change before and after the correction are largely consistent, while the homogeneity of individual stations is significantly improved. Besides, due to the correction, the majority series of the precipitation are reduced and the correction amplitude is relatively large. During 1978–2015, the temperature in North China shows a rise trend, while the precipitation tends to decrease.http://dx.doi.org/10.1155/2018/4712538 |
| spellingShingle | Lingling Shen Li Lu Tianjie Hu Runsheng Lin Ji Wang Chong Xu Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China Advances in Meteorology |
| title | Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China |
| title_full | Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China |
| title_fullStr | Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China |
| title_full_unstemmed | Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China |
| title_short | Homogeneity Test and Correction of Daily Temperature and Precipitation Data (1978–2015) in North China |
| title_sort | homogeneity test and correction of daily temperature and precipitation data 1978 2015 in north china |
| url | http://dx.doi.org/10.1155/2018/4712538 |
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