1:45 PM - 3:15 PM
[O05-P48] How the way ten cloud types form can change with the seasons
Keywords:Ten cloud types
We usually understand that each type of clouds has seasonal differences of its frequency and amount. In this research, I collected the data about the ten cloud types for three years and found out the differences in a numerical way. Furthermore, I compared the collected data with the Meteorological Agency’s data of atmospheric pressure, temperature and humidity.
The way of the observation was to analyze the cloud cover in the photos of the northern, southern, eastern and western sky at Saitama City in the morning. The Meteorological Agency’s data, which I used, was obtained from the Tokyo District Meteorological Observatory which is the closest to the observation point at Saitama City.
As a result of the analysis, I did not observe major differences of the frequency and amount in each cloud type in spring and summer, on the other hand, observed some differences in autumn and winter. The monthly average cloud cover was larger from June to September, and from the comparison of the data of the Meteorological Agency, the monthly average value of humidity and cloud cover showed a similar tendency of changes. So, there seems to be a relationship between them. However, based on the analysis of daily data, no relationship was observed between the humidity and cloud cover. I have not found the reason of the different tendency of monthly and daily data yet, and it needs more analysis and consideration.
In addition, the average value of cloud cover at an occurrence was bigger in layered clouds than in bulky clouds . This result accorded with the feature that layered clouds tend to take a larger area of sky than bulky clouds. Therefore, I could admit that the way of the observation was adequate and accurate to a certain extent.
The way of the observation was to analyze the cloud cover in the photos of the northern, southern, eastern and western sky at Saitama City in the morning. The Meteorological Agency’s data, which I used, was obtained from the Tokyo District Meteorological Observatory which is the closest to the observation point at Saitama City.
As a result of the analysis, I did not observe major differences of the frequency and amount in each cloud type in spring and summer, on the other hand, observed some differences in autumn and winter. The monthly average cloud cover was larger from June to September, and from the comparison of the data of the Meteorological Agency, the monthly average value of humidity and cloud cover showed a similar tendency of changes. So, there seems to be a relationship between them. However, based on the analysis of daily data, no relationship was observed between the humidity and cloud cover. I have not found the reason of the different tendency of monthly and daily data yet, and it needs more analysis and consideration.
In addition, the average value of cloud cover at an occurrence was bigger in layered clouds than in bulky clouds . This result accorded with the feature that layered clouds tend to take a larger area of sky than bulky clouds. Therefore, I could admit that the way of the observation was adequate and accurate to a certain extent.