daily precipitation
1.With the cumulative frequency method the thresholds of extreme precipitation event was defined according to daily precipitation data of 68 stations in Anhui province during last 40 years.
2.Taking Zhejiang Province as study area,and based on the data of MODIS-EVI,daily mean air temperature and daily precipitation from 52 weather stations,and actual land use in 2001-2004,the time lag cross-correlation analysis was made to relate the seasonal fluctuations of enhanced vegetation index(EVI) of farmland,woodland and garden plot with air temperature and precipitation.
3.By using the 1960—2004 flood season (from May to September) daily precipitation data of 87 stations in six provinces and one city in the mid-lower reaches of theYangtze River, with EOF, REOF, tendency analysis and Morlet wavelet analysis, it is analyzed that the annual extreme precipitation of various stations and its spatial distribution for the recent 45 years.
4.The growing process of winter wheat is simulated by CERES-wheat model assuming the daily temperature variation to be-1℃, 0℃, 1℃, 2℃and daily precipitation change to be - 20% ,-10%,-5%,0,5%,10%,20% respectively. The case study site is of zhenjiang,Jiang-su Province, which locates in the middle east of China.
5.The Pearson Ⅲ distribution and the logarithmic normal distribution are used respectively to fit the asymptotic distributions of yearly maximum of the daily precipitation in Chengdu during the period between 1951 and 1999. The results show that the logarithmic normal distribution is better than the Pearson Ⅲ one.
6.On the basis of the statistics of the meteorological data day by day in summer(5~9)from 1985 to 2004 in Xiangtan,extremely high temperature incident(daily maximum temperature more than 35℃),rainstorm(daily total precipitation more than 50mm) and extreme drought incident(continuous days without precipitation) are analyzed.
7.The Madden-Julian Oscillation (MJO) is investigated in two sets of 11-year records of observed precipitation, the daily mean Microwave Sounding Units (MSU) oceanic rainfall (Spencer, 1993) data and the pentad Climate Prediction Center Merged Analysis of Precipitation (CMAP) data (Xie and Arkin, 1997). Obvious interannual variability is found in the MJO in the tropical Pacific.
