(Tenki is the bulletin journal of the Meteorological Society of Japan in Japanese.)
TENKI, Vol. 61, No. 1, pp. 23-29, 2014
To research the distribution of air temperature in the city of Tajimi, Gifu prefecture, a total of 15 thermometers were placed at the schools and parks in the city of Tajimi, and the city of Kasugai, Aichi prefecture in August 2010. From the distribution of monthly average air temperature, air temperature at the center of Tajimi city was higher than the suburbs. Also, the days of daily minimum air temperature more than or equal to 25¡C and daily maximum air temperature more than or equal to 35¡C at the elementary school near the center of Tajimi city was more than those at other schools. This tendency appeared more clearly on the days of daily minimum air temperature more than or equal to 25¡C. Also, the air temperature near the center of the city was higher than that of the suburbs in the early morning. Thus, it was indicated that the air temperature was hard to decrease as the bottom of the basin. From these results, the influence of urbanization to the formation of the daily minimum temperature in Tajimi city was indicated.
(Tenki is the bulletin journal of the Meteorological Society of Japan in Japanese.)
TENKI, Vol. 61, No. 2, pp. 81-90, 2014
Data at 92 stations for 1951 to 2010 were used to examine large-scale distribution of extreme-value parameters of precipitation in Japan on the basis of L-moments. Annual maximum values of daily, hourly, and ten-minute precipitations were found to show statistically significant negative correlation to latitude, and positive correlation to warm-season total precipitation (P). For hourly and ten-minute precipitation, L-CV has positive and negative correlations to latitude and P, respectively, and L-skewness has positive correlation to latitude. These facts indicate a tendency of reduced sporadicity at stations in low latitude and/or with large warm-season precipitation amount, so that extreme short-term precipitation of long return periods tends to show reduced dependence on latitude and P. Although L-CV and L-skewness have variations among stations, those of L-skewness are within a range of statistical variability expected for a single GEV function. This situation raises doubts about the need of specifying shape parameters of extreme-value functions station by station, since L-skewness is related to the shape of extreme-value distribution.