This paper provides a basis for crop structure adjustment and selection of suitable growth period varieties in Hunan Province of China, and improves the predictive capacity of Hunan’s abnormal frost disasters to defe...This paper provides a basis for crop structure adjustment and selection of suitable growth period varieties in Hunan Province of China, and improves the predictive capacity of Hunan’s abnormal frost disasters to defend against frost disasters effectively. Using the frost date data of 97 meteorological monitoring stations in Hunan Province from 1951 to 2017, statistical analysis was carried out on the variable characteristics of frost days, initial and final frost days and frost-free periods. The NCEP/NCAR data were used to study the circulation characteristics of the province’s frosty weather by linear and polynomial fitting methods to show that: 1) The frost days decrease −0.1 d/a from December to January. 2) The inter-annual rate of change in the initial and final frost days and frost-free period is large, and the average first frost day showed a delayed trend (0.13 d/a). The average final frost day showed an early change trend (−0.12 d/a), and the average frost-free period showed an extended trend (0.22 d/a). 3) The frosty weather in Hunan Province has obvious geographical distribution characteristics. The first frost day showed distribution characteristics of “early in the east and later in the west”, and the final frost day showed the distribution characteristics of “early in the south and later in the north”. The frost-free period showed the distribution pattern of “long in the south and short in the north”. 4) The circulation characteristic values of the frosty days are as follows: 500 hPa East Asian trough is stable, and the temperature field has a cold tongue of −40°C. The −12°C line is located in south part of Hunan and the 0°C line of 850 hPa is stretched to Hubei. Meanwhile, the ground has cold high pressure, and the center pressure is greater than 1025 hPa. These findings could be used for adjusting crop structure, select suitable varieties for growth in Hunan and predicted abnormal frost disasters for effective prevention.展开更多
We drew on data of daily average temperature,average maximum temperature,average minimum temperature and precipitation from 78 meteorological stations during 1961-2008 of Shandong Province,analyzed the variation of ex...We drew on data of daily average temperature,average maximum temperature,average minimum temperature and precipitation from 78 meteorological stations during 1961-2008 of Shandong Province,analyzed the variation of extreme temperature and precipitation events.The results showed that although extreme cold days decreased by 0.23 d/a on average,after the average temperature steadily passed 10 ℃ in spring,it would still appear 1-2 days of frost,wheat and fruit trees would still suffer frozen injury every year in the central Shandong and the inland of Shandong Peninsula.Although the number of annual extreme hot days has an increasing trend obviously in Shandong and increased by 0.19 days a year.After 2000,aimed at the days of daily maximum temperature ≥ 35 ℃,the mean value and standard deviation of daily maximum temperature in summer decreased comparing with the normal year in West Shandong,and decreased by 1-3 days.In recent 50 years,the extreme precipitation trend increased,but not statistically significant.The number of light rain days has a decreasing trend and decreased by 0.17 days every year,in contrast,the frequency of downpour has an increasing trend.展开更多
The trends and periodicities in the annual and seasonal temperature time series at fifteen weather stations within Ontario Great Lakes Basins have been analyzed, for the period 1941-2005, using the statistical analyse...The trends and periodicities in the annual and seasonal temperature time series at fifteen weather stations within Ontario Great Lakes Basins have been analyzed, for the period 1941-2005, using the statistical analyses (Fourier series analysis, t-test, and Mann-Kendall test). The stations were spatially divided into three regions: northwest (NW), southwest (SW), and southeast (SE) to evaluate spatial variability in temperature. The results of the study reveal that the annual maximum mean temperature showed increasing trend for NW, and mixed trends for SW and SE regions. The variability was found to be more for northern stations as compared to southern stations for annual extreme minimum temperature. In addition, the trend slope per 100 years for the average annual extreme minimum temperature increased within the range of -0.8°C (Stratford) to 15°C (Porcupine). The seasonal analysis demonstrated that extreme maximum temperature has an increasing trend and maximum mean temperature has a decreasing trend during summer and winter. The extreme minimum temperature for winter illustrated an increasing trend (90%) with 22% statistically significant for NW region. For the SW region, the trend is also increasing (80%) for most of the temperature variables and 25% of temperature data were significantly increased in the SW region. The SE region stations showed overall very clear increasing trends (95%) for all the temperature variables. The data also showed that 47% of data were statistically significant in the SE region. The analysis of variance accounted for by trend, significant periodicities, and random component show that the pattern is similar for the percent of variance accounted for periodicities, and random component contribute dominantly for the four temperature variables and frost free days (FFD) for all three regions. Overall, the study reveals that the extreme minimum temperature is increasing annually and seasonally, with statistically significant at many stations.展开更多
文摘This paper provides a basis for crop structure adjustment and selection of suitable growth period varieties in Hunan Province of China, and improves the predictive capacity of Hunan’s abnormal frost disasters to defend against frost disasters effectively. Using the frost date data of 97 meteorological monitoring stations in Hunan Province from 1951 to 2017, statistical analysis was carried out on the variable characteristics of frost days, initial and final frost days and frost-free periods. The NCEP/NCAR data were used to study the circulation characteristics of the province’s frosty weather by linear and polynomial fitting methods to show that: 1) The frost days decrease −0.1 d/a from December to January. 2) The inter-annual rate of change in the initial and final frost days and frost-free period is large, and the average first frost day showed a delayed trend (0.13 d/a). The average final frost day showed an early change trend (−0.12 d/a), and the average frost-free period showed an extended trend (0.22 d/a). 3) The frosty weather in Hunan Province has obvious geographical distribution characteristics. The first frost day showed distribution characteristics of “early in the east and later in the west”, and the final frost day showed the distribution characteristics of “early in the south and later in the north”. The frost-free period showed the distribution pattern of “long in the south and short in the north”. 4) The circulation characteristic values of the frosty days are as follows: 500 hPa East Asian trough is stable, and the temperature field has a cold tongue of −40°C. The −12°C line is located in south part of Hunan and the 0°C line of 850 hPa is stretched to Hubei. Meanwhile, the ground has cold high pressure, and the center pressure is greater than 1025 hPa. These findings could be used for adjusting crop structure, select suitable varieties for growth in Hunan and predicted abnormal frost disasters for effective prevention.
文摘We drew on data of daily average temperature,average maximum temperature,average minimum temperature and precipitation from 78 meteorological stations during 1961-2008 of Shandong Province,analyzed the variation of extreme temperature and precipitation events.The results showed that although extreme cold days decreased by 0.23 d/a on average,after the average temperature steadily passed 10 ℃ in spring,it would still appear 1-2 days of frost,wheat and fruit trees would still suffer frozen injury every year in the central Shandong and the inland of Shandong Peninsula.Although the number of annual extreme hot days has an increasing trend obviously in Shandong and increased by 0.19 days a year.After 2000,aimed at the days of daily maximum temperature ≥ 35 ℃,the mean value and standard deviation of daily maximum temperature in summer decreased comparing with the normal year in West Shandong,and decreased by 1-3 days.In recent 50 years,the extreme precipitation trend increased,but not statistically significant.The number of light rain days has a decreasing trend and decreased by 0.17 days every year,in contrast,the frequency of downpour has an increasing trend.
文摘The trends and periodicities in the annual and seasonal temperature time series at fifteen weather stations within Ontario Great Lakes Basins have been analyzed, for the period 1941-2005, using the statistical analyses (Fourier series analysis, t-test, and Mann-Kendall test). The stations were spatially divided into three regions: northwest (NW), southwest (SW), and southeast (SE) to evaluate spatial variability in temperature. The results of the study reveal that the annual maximum mean temperature showed increasing trend for NW, and mixed trends for SW and SE regions. The variability was found to be more for northern stations as compared to southern stations for annual extreme minimum temperature. In addition, the trend slope per 100 years for the average annual extreme minimum temperature increased within the range of -0.8°C (Stratford) to 15°C (Porcupine). The seasonal analysis demonstrated that extreme maximum temperature has an increasing trend and maximum mean temperature has a decreasing trend during summer and winter. The extreme minimum temperature for winter illustrated an increasing trend (90%) with 22% statistically significant for NW region. For the SW region, the trend is also increasing (80%) for most of the temperature variables and 25% of temperature data were significantly increased in the SW region. The SE region stations showed overall very clear increasing trends (95%) for all the temperature variables. The data also showed that 47% of data were statistically significant in the SE region. The analysis of variance accounted for by trend, significant periodicities, and random component show that the pattern is similar for the percent of variance accounted for periodicities, and random component contribute dominantly for the four temperature variables and frost free days (FFD) for all three regions. Overall, the study reveals that the extreme minimum temperature is increasing annually and seasonally, with statistically significant at many stations.