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Based on the daily precipitation from a 0.5°×0.5° gridded dataset and meteorological stations during 1961–2011 released by National Meteorological Information Center, the reliability of this gridded precipitation dataset in South China was evaluated. Five precipitation indices recommended by the World Meteorological Organization(WMO) were selected to investigate the changes in precipitation extremes of South China. The results indicated that the bias between gridded data interpolated to given stations and the corresponding observed data is limited, and the proportion of the number of stations with bias between –10% and 0 is 50.64%. The correlation coefficients between gridded data and observed data are generally above 0.80 in most parts. The average of precipitation indices shows a significant spatial difference with drier northwest section and wetter southeast section. The trend magnitudes of the maximum 5-day precipitation(RX5day), very wet day precipitation(R95), very heavy precipitation days(R20mm) and simple daily intensity index(SDII) are 0.17 mm·a–1, 1.14 mm·a–1, 0.02 d·a–1 and 0.01 mm·d–1·a–1, respectively, while consecutive wet days(CWD) decrease by –0.05 d·a–1 during 1961–2011. There is spatial disparity in trend magnitudes of precipitation indices, and approximate 60.85%, 75.32% and 75.74% of the grid boxes show increasing trends for RX5 day, SDII and R95, respectively. There are high correlations between precipitation indices and total precipitation, which is statistically significant at the 0.01 level. 相似文献
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基于格点数据的1961-2012年祁连山面雨量特征分析 总被引：1，自引：0，他引：1
基于国家气象信息中心发布的全国0.5°×0.5°逐日降水量数据集和气象站点日降水量实测资料,利用主成分分析（PCA）和回归分析,研究了1961-2012年祁连山面雨量年际变化以及面雨量距平与干旱累计强度的关系。结果表明,该套格点数据能够很好地反映出祁连山及其周边区域降水的时空分布格局,山区降水量大于平原区降水量,山区东段降水量大于西段降水量。1961-2012年祁连山面雨量的多年平均值为724.9×108 m3,其中,春、夏、秋、冬的面雨量分别为118.9×108 m3、469.4×108 m3、122.5×108 m3、14.1×108 m3,夏季面雨量最大,占全年的64.76%。除春季外,其他季节面雨量都呈现逐年增加趋势,夏季增幅最大,平均每年增加1.7×108 m3。山区面雨量与祁连山及其周边区域的干湿程度表现出较好的相关性,干旱累计强度与面雨量表现出负相关性,山区面雨量较多时这一地区的干旱强度也较弱。 相似文献
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Based on the radiosonde data observed at 14 stations in Southwest China from 1960 to 2010, as well as the corresponding surface air temperature, the long-term change of free-air 0 ℃isotherm height in Southwest China and the relationships between surface air temperature and 0 ℃isotherm height are discussed. The results indicated that the spatial distribution of 0 isotherm height is generally related with latitude, but the ℃ huge massif or plateau may complicate the latitude pattern. The two main regimes influencing the spatial patterns of 0 isotherm height℃ in Southwest China are latitude and huge massif. The annual 0 isotherm height has increased by 35 m per decade in the recent decades, which is st℃ atistically significant at the 0.001 level. Generally, the increasing trend can be examined for each seasonal series, especially in winter(53 m per decade). The diversity of trend magnitudes for annual and seasonal series can also be detected at a spatial view, but generally 0 ℃isotherm height correlated well with surface air temperature. 相似文献
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