Plateau Meteorology

Plateau Meteorology >

2018 , Vol. 37 >Issue 3: 863 - 871

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00007

Analysis of Continuity of Fog, Light Fog and Haze Climate Series by Automatic Identification and Manual Observation

  • REN Zhihua ,
  • YU Yu ,
  • HAN Rui ,
  • FENG Mingnong
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  • National Meteorological Information Centre, Beijing 100081, China

Received date: 2017-10-01

  Online published: 2018-06-28

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Abstract

Based on the fog, light fog and haze daily data from more than 2 400 national level surface stations, comparisons were made between the statistics of 2014 and their historical series. Results showed that the national mean fog, light fog and haze days were 20, 154 and 59 respectively and were all highest values from the year of 2000. Especially, haze day of 2014 was 4.2 times of the means from 2000 to 2013, which may not match the actual conditions. Further analysis were presented by dividing the stations into two parts, as about 963 stations were carried out automatic identifications of the vision obstruction weather phenomenon from the beginning of 2014, while the other stations still maintained manual observations. The mean fog, light fog and haze days of manual stations in 2014 were close to their averages of recent decade and the statistics of 2013. As for the automatic stations, the mean values were rocketed to the highest starting from the year of 2000 and were extremely higher than the statistics of 2013. Through the analysis of the differences between automatic and manual observation methods and their data, the unusual higher values in 2014 were mainly ascribed to the weather phenomenon identification employed by automatic stations, as instantaneous occurrences of fog, light fog and haze were improperly written into the daily records. Based on the characteristics of haze persistence, correction method was studied on haze identification at automatic stations by using present weather phenomenon data. When at least six consecutive present weather phenomenon occurred in one day, haze was then written into the consecutive weather phenomenon record, i. e. the daily record and that day was consequently identified as a haze day. This method was verified by comparing the corrected data with the air quality conditions between 2013 and 2014 in 74 cities released by the Ministry of Environmental Protection, which shown a good agreement. The national mean haze day number of 2014 dropped down to about 31 days from about 59 days after correction, and the revised mean value was equal to that of 2013. The corrected data indicated that haze occurrence frequency had an increasing trend, and it peaked at 2013 and 2014 from the year of 2000.

Key words： Fog, light fog and h; automatic identifica; manual observation; continuity

Cite this article

REN Zhihua , YU Yu , HAN Rui , FENG Mingnong . Analysis of Continuity of Fog, Light Fog and Haze Climate Series by Automatic Identification and Manual Observation[J]. Plateau Meteorology, 2018 , 37(3) : 863 -871 . DOI: 10.7522/j.issn.1000-0534.2018.00007

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