Based on the initial field temperature data of ECMWF 850 hPa from Jan- uary 2012 to December 2015, linear interpolation method of ECMWF was employed to calculate the 850 hPa temperature values at 8：00 and 20：00 of 7...Based on the initial field temperature data of ECMWF 850 hPa from Jan- uary 2012 to December 2015, linear interpolation method of ECMWF was employed to calculate the 850 hPa temperature values at 8：00 and 20：00 of 7 stations （Jiamusi, Tangyuan, Huachuan, Huanan, Fujin, Tongjiang, Fuyuan）. Combined with the observed daily minimum and maximum air temperatures at the same time of the 7 stations, the correlations of the 850 hPa temperature values at 8：00 and 20：00 with the daily maximum or minimum air temperature of the ground meteorological obser- vation stations were established, and the ground observation data in accordance with the relevant analysis and correlation test principle of the prediction equation for factor were primarily selected. Regression method was used to establish forecast e- quation dividing into counties, month by month. The results showed that the 850 hPa temperature values at 8：00 and 20：00 were significantly correlated with the daily maximum or minimum air temperature, and the established temperature fore- cast equation was of certain guiding significance for the forecast of daily minimum and maximum temperature, which could help to improve the forecast accuracy.展开更多
利用NCEP/NCAR逐6 h的850 hPa温度再分析资料,采用双线性插值法(BI)计算出朝阳、北票、叶柏寿、凌源、喀左5个观测站的2:00、8:00、14:00、20:00 4个时次850 h Pa的温度值,与地面气象观测站的实况日最低气温建立相关性,并对地面观测资...利用NCEP/NCAR逐6 h的850 hPa温度再分析资料,采用双线性插值法(BI)计算出朝阳、北票、叶柏寿、凌源、喀左5个观测站的2:00、8:00、14:00、20:00 4个时次850 h Pa的温度值,与地面气象观测站的实况日最低气温建立相关性,并对地面观测资料按照相关分析和相关检验原理对预报方程进行因子初选,应用逐步回归方法建立分县、分月的预报方程,并使用数值预报产品T639的850 h Pa温度和中央气象台指导产品的气象要素资料对预报方程进行检验和订正。结果表明:分月建立的朝阳地区温度预报多元回归方程对于日最高、最低温度的预报有一定指导意义,预报准确率有一定提高。展开更多
By using the monthly data from 1951 through 1984, empirical orthogonal expansion is performed for the 500 hPa geopotential height north of 65°N and the canonical fields are clustered by fuzzy classification. It i...By using the monthly data from 1951 through 1984, empirical orthogonal expansion is performed for the 500 hPa geopotential height north of 65°N and the canonical fields are clustered by fuzzy classification. It is noted that both the mean monthly polar vortex fields and the large-scale anomaly fields fall into three regimes, with those of the January mean field and th April anomaly field having characteristic features. In addition, the relationship between the time weigthing coefficients of the canonical fields and El Nino / SO is examined, showing significant anomalies in the large-scale polar anomaly fields during April and October of the year when El Nino occurs. These polar circulation anomalies have considerably influenced the temperature fields in China during April and October. Thus, we may conclude that this is one of the most important reasons for a relatively cool April and a warm October in China during the El Nino year.展开更多
利用抚顺市章党站2012年1月期间常规气象要素观测资料以及MICAPS分析资料,通过温度变化方程,对1月部分最低气温与850 h Pa的温度变化进行了对比分析。结果表明:850 h Pa的温度主要受平流变化和绝热变化的影响。多数情况下,1 000 h Pa的...利用抚顺市章党站2012年1月期间常规气象要素观测资料以及MICAPS分析资料,通过温度变化方程,对1月部分最低气温与850 h Pa的温度变化进行了对比分析。结果表明:850 h Pa的温度主要受平流变化和绝热变化的影响。多数情况下,1 000 h Pa的平流与850 h Pa的平流保持同步变化,且1 000 h Pa的冷平流变温幅度大于850 h Pa的冷平流变温幅度。地面气温的变化主要受非绝热变化的影响,由此决定了地面气温的变化常常与850 h Pa温度的变化不一致。展开更多
利用2012年12月6—11日荷泽地区整个冷空气影响过程中850 h Pa高度温度场和风场的不同配置对最低温度的影响进行分析。结果表明:在850 h Pa上有较强的暖平流,利于上层增温,而地面增温很小甚至会出现负增温;在冷平流,处于锋区里的中前部...利用2012年12月6—11日荷泽地区整个冷空气影响过程中850 h Pa高度温度场和风场的不同配置对最低温度的影响进行分析。结果表明:在850 h Pa上有较强的暖平流,利于上层增温,而地面增温很小甚至会出现负增温;在冷平流,处于锋区里的中前部,地面最低气温降温幅度远小于850 h Pa降温幅度,甚至出现正增温;一次冷空气影响的过程,在冷空气主力南下时,地面最低温度并不太低,地面出现低温在冷尾;几天内850 h Pa上空若风速不大,气温近似均温区,地面最低温度也变化不大,地面最低温度的惯性比850 h Pa上空温度惯性要大。展开更多
文摘Based on the initial field temperature data of ECMWF 850 hPa from Jan- uary 2012 to December 2015, linear interpolation method of ECMWF was employed to calculate the 850 hPa temperature values at 8：00 and 20：00 of 7 stations （Jiamusi, Tangyuan, Huachuan, Huanan, Fujin, Tongjiang, Fuyuan）. Combined with the observed daily minimum and maximum air temperatures at the same time of the 7 stations, the correlations of the 850 hPa temperature values at 8：00 and 20：00 with the daily maximum or minimum air temperature of the ground meteorological obser- vation stations were established, and the ground observation data in accordance with the relevant analysis and correlation test principle of the prediction equation for factor were primarily selected. Regression method was used to establish forecast e- quation dividing into counties, month by month. The results showed that the 850 hPa temperature values at 8：00 and 20：00 were significantly correlated with the daily maximum or minimum air temperature, and the established temperature fore- cast equation was of certain guiding significance for the forecast of daily minimum and maximum temperature, which could help to improve the forecast accuracy.
文摘利用NCEP/NCAR逐6 h的850 hPa温度再分析资料,采用双线性插值法(BI)计算出朝阳、北票、叶柏寿、凌源、喀左5个观测站的2:00、8:00、14:00、20:00 4个时次850 h Pa的温度值,与地面气象观测站的实况日最低气温建立相关性,并对地面观测资料按照相关分析和相关检验原理对预报方程进行因子初选,应用逐步回归方法建立分县、分月的预报方程,并使用数值预报产品T639的850 h Pa温度和中央气象台指导产品的气象要素资料对预报方程进行检验和订正。结果表明:分月建立的朝阳地区温度预报多元回归方程对于日最高、最低温度的预报有一定指导意义,预报准确率有一定提高。
文摘By using the monthly data from 1951 through 1984, empirical orthogonal expansion is performed for the 500 hPa geopotential height north of 65°N and the canonical fields are clustered by fuzzy classification. It is noted that both the mean monthly polar vortex fields and the large-scale anomaly fields fall into three regimes, with those of the January mean field and th April anomaly field having characteristic features. In addition, the relationship between the time weigthing coefficients of the canonical fields and El Nino / SO is examined, showing significant anomalies in the large-scale polar anomaly fields during April and October of the year when El Nino occurs. These polar circulation anomalies have considerably influenced the temperature fields in China during April and October. Thus, we may conclude that this is one of the most important reasons for a relatively cool April and a warm October in China during the El Nino year.
文摘利用抚顺市章党站2012年1月期间常规气象要素观测资料以及MICAPS分析资料,通过温度变化方程,对1月部分最低气温与850 h Pa的温度变化进行了对比分析。结果表明:850 h Pa的温度主要受平流变化和绝热变化的影响。多数情况下,1 000 h Pa的平流与850 h Pa的平流保持同步变化,且1 000 h Pa的冷平流变温幅度大于850 h Pa的冷平流变温幅度。地面气温的变化主要受非绝热变化的影响,由此决定了地面气温的变化常常与850 h Pa温度的变化不一致。
文摘利用2012年12月6—11日荷泽地区整个冷空气影响过程中850 h Pa高度温度场和风场的不同配置对最低温度的影响进行分析。结果表明:在850 h Pa上有较强的暖平流,利于上层增温,而地面增温很小甚至会出现负增温;在冷平流,处于锋区里的中前部,地面最低气温降温幅度远小于850 h Pa降温幅度,甚至出现正增温;一次冷空气影响的过程,在冷空气主力南下时,地面最低温度并不太低,地面出现低温在冷尾;几天内850 h Pa上空若风速不大,气温近似均温区,地面最低温度也变化不大,地面最低温度的惯性比850 h Pa上空温度惯性要大。
