中国降雪气候学特征

利用逐日地面降雪观测资料,分析中国25oN以北范围内降雪量、降雪日数、雪带分布和各强度降雪的气候学特征,得到以下结论:①雪季长度与年降雪日数在东部呈纬向分布,大兴安岭北部最长(>210 d),长江以南最短(常年无雪或偶尔降雪);在西部青海省南部和西藏自治区北部最长(>300 d),滇、川、藏交界处及新疆自治区北部较长,南疆较短(<60 d)。年降雪量东南部最少,东北和西北北部较多(>30 mm),青海和西藏降雪量最多(>60 mm)。平均降雪强度江淮一带最大。②根据雪季降雪频次划分中国的雪带,东北大部、内蒙自治区东部、新疆北部、青藏高原大部、秦岭等地区为常年多雪带;长江以南的滇南、四川盆地、江浙沿海等地区为永久无雪带;其余地区为常年降雪带和偶尔降雪带。③不同区域各级降雪日数占总降雪日数的比例都是暴雪日数最少,大雪日数其次,小雪日数最多;但中雪降雪量占总降雪量的比例在东北北部、华北、西北、新疆、东南、青藏高原东部等区域仅高于小雪降雪量,而在黄-淮地区仅次于暴雪降雪量。④降雪年内分配在东北北部、西北、新疆、青藏高原东部等地区都呈双峰型,最多雪时节在早冬和晚冬、早春,隆冬时节并不是降雪最多时间,黄-淮和东南地区呈单峰型,东南地区峰值更陡。⑤总降雪日数和除暴雪外的各等级降雪日数与地理位置关系较明显,在中国东部主要随着纬度升高增加,在中国西部随海拔高度增加而增加;随着纬度升高,东部和西部的总降雪强度都减小,西部的小雪强度也减小。     

Changing Trends of Daily Temperature Extremes with Different Intensities in China

By comparing two sets of quality-controlled daily temperature observation data with and without the inhomogeneity test and adjustment from 654 stations in China during 1956-2004 and 1956-2010, impacts of inhomogeneity on changing trends of four percentile temperature extreme indices, including occurrences of cold days, cold nights, warm days, and warm nights with varying intensities, were discussed. It is found that the inhomogeneity affected the long-term trends averaged over extensive regions limitedly. In order to minimize the inhomogeneity impact, the 83 stations identified with obvious inhomogeneity impacts were removed, and an updated analysis of changing trends of the four temperature extreme indices with varying intensities during 1956-2010 was conducted. The results show that annual occurrences of both cold nights and cold days decreased greatly while those of warm nights and warm days increased significantly during the recent 20 years. The more extreme the event is, the greater the magnitude of changing trends for the temperature extreme index is. An obvious increasing trend was observed in annual occurrences of cold days and cold nights in the recent four years. The magnitude of changing trends of warm extreme indices was greater than that of cold extreme indices, and it was greater in northern China than in southern China. Trends for summer occurrence of cold days were not significant. Decreasing trends of occurrences of both cold nights and cold days were the greatest in December, January, and February (DJF) but the least in June, July, and August (JJA), while increasing trends of warm nights were the greatest in JJA. Cold nights significantly decreased from 1956 to 1990, and then the decreasing trend considerably weakened. The decreasing trend also showed an obvious slowdown in recent years for occurrence of cold days. However, increasing trends of warm nights and warm days both have been accelerated continuously since the recent decades. Further analysis presents that the evolution of the trends for occurrences of the four temperature extreme indices was dominated by the changes in northern China.     

气象干旱时空表达方式的探讨

为了对气象干旱时空表达方式进行探讨,提出了气象干旱时间面积函数的概念及其表达式MD(Meteorological Drought),并利用1952年1月1日-2010年5月31日云南省全部站点逐日降水、气温观测数据计算得到的干旱CI指数,计算和分析了MD的时间分布。结果表明:(1)MD可客观、准确地表达近60年来云南发生干旱的过程和强度,解决了以往确定气象干旱事件时对持续时间和面积大小界定的主观性和不确定性,MD不仅可以完整地描述和比较有气象记录以来历史上的干旱事件,还可以连续滚动描述每个干旱过程的演变;(2)MD计算结果表明,1952-2010年云南干旱较严重的年份是:1959,1963,1966,1969,1974,1979,1984和2010年,其中,2010年为近60年来最旱的一年,干旱发生的时间比其他干旱较严重年份平均提前了90天左右,形成秋、冬、春和初夏连旱的罕见气候事件。     

鲁西南8-9月份阴雨日数与前期大气环流关系

对鲁西南1979-2008年8-9月份阴雨日数进行统计分析,发现8-9月份阴雨日数总体呈上升趋势;与前期北半球500hPa月平均高度场进行相关分析,结果表明：8-9月份阴雨日数与北半球500hPa平均高度场存在显著的滞后相关性,共得出45个优势相关区,相关区具有明显的区域性,大多数优势相关区出现在60篘以南地区。阴雨日数与前期极涡位置及强弱有很好的对应关系。从优势相关区提取的预报因子具有明显的季节性,上一年秋冬季预报因子占6/9;建立预报方程,试用效果较好。     

雷击地闪密度与雷暴日数的关系分析

根据美国卫星观测得到的我国各省区年平均总闪电资料并计算出各省区的年平均地闪密度(以下简称地闪密度);根据全国各省区220个站点的年平均雷暴日资料,按照<建筑物防雷设计规范>GB50057-94(2000年版)(以下简称<规范>)公式计算出全国各省区的地闪密度.比较两种方法得出的地闪密度,发现存在较大的差异,且不同区域差异变化很大.用单位雷暴日地闪密度概念,分析了我国各地单位雷暴日地闪密度的差异及其原因,指出单位雷暴日地闪密度能粗略反映与我国气候特征相适应的地闪密度的分布状况.进一步分析湖州市2007年人工观测和闪电定位仪观测的闪电资料,得到相同的结论.从而提出<规范>规定的地闪密度计算公式存在较大误差,应对其进行进一步的修订和完善.     

乌鲁木齐及周边城市空气质量变化特征及影响因素分析

利用美英等国5个海气耦合气候模式对黑龙江省(主要包括哈尔滨、齐齐哈尔、牡丹江和佳木斯4个地区)年、季平均气温前后近100 a进行模拟和预测结果,预估黑龙江省哈尔滨、齐齐哈尔、牡丹江和佳木斯4个城市气候变暖情景下未来100 a的采暖降温气候条件.可以为黑龙江省适应未来气候变化提供依据,为政府决策和能源公司做长远规划提供参考.     

10～30 d延伸期预报研究进展和业务现状

10～30 d延伸期预报在气象业务发展和国民经济服务中具有重要的作用。本文回顾了关于延伸期预报的相关理论和技术研究进展,概要介绍了国内外开展延伸期预报业务现状;结合目前气象科技发展水平,进一步分析和阐述了现阶段我国开展延伸期预报业务亟待解决的关键技术问题,旨在共同探讨和推动延伸期预报业务的发展。     

Aerosol characteristics during winter fog at Agra,North India

Simultaneous measurements on physical, chemical and optical properties of aerosols over a tropical semi-arid location, Agra in north India, were undertaken during December 2004. The average concentration of total suspended particulates (TSP) increased by about 1.4 times during intense foggy/hazy days. Concentrations of SO₄ ²⁻, NO₃ ⁻, NH₄ ⁺ and Black Carbon (BC) aerosols increased by 4, 2, 3.5 and 1.7 times, respectively during that period. Aerosols were acidic during intense foggy/hazy days but the fog water showed alkaline nature, mainly due to the neutralizing capacity of NH₄ aerosols. Trajectory analyses showed that air masses were predominantly from NW direction, which might be responsible for transport of BC from distant and surrounding local sources. Diurnal variation of BC on all days showed a morning and an evening peak that were related to domestic cooking and vehicular emissions, apart from boundary layer changes. OPAC (Optical properties of aerosols and clouds) model was used to compute the optical properties of aerosols. Both OPAC-derived and observed aerosol optical depth (AOD) values showed spectral variation with high loadings in the short wavelengths (<1 μm). AOD value at 0.5 μm wavelength was significantly high during intense foggy/hazy days (1.22) than during clear sky or less foggy/hazy days (0.63). OPAC-derived Single scattering albedo (SSA) was 0.84 during the observational period, indicating significant contribution of absorbing aerosols. However, the BC mass fraction to TSP increased by only 1% during intense foggy/hazy days and thereby did not show any impact on SSA during that period. A large increase was observed in the shortwave (SW) atmospheric (ATM) forcing during intense foggy/hazy days (+75.8 W/m²) than that during clear sky or less foggy/hazy days (+38 W/m²), mainly due to increase in absorbing aerosols. Whereas SW forcing at surface (SUF) increased from −40 W/m² during clear sky or less foggy/hazy days to −76 W/m² during intense foggy/hazy days, mainly due to the scattering aerosols like SO₄ ^2-.     

Trends in graded precipitation in China from 1961 to 2000

Daily precipitation rates observed at 576 stations in China from 1961 to 2000 were classified into six grades of intensity, including trace （no amount）, slight （≤ 1 mm d^-1）, small, large, heavy, and very heavy. The last four grades together constitute the so called effective precipitation （〉 1 mm d^-1）. The spatial distribution and temporal trend of the graded precipitation days are examined. A decreasing trend in trace precipitation days is observed for the whole of China, except at several sites in the south of the middle section of the Yangtze River, while a decreasing trend in slight precipitation days only appears in eastern China. The decreasing trend and interannual variability of trace precipitation days is consistent with the warming trend and corresponding temperature variability in China for the same period, indicating a possible role played by increased surface air temperature in cloud formation processes. For the effective precipitation days, a decreasing trend is observed along the Yellow River valley and for the middle reaches of the Yangtze River and Southwest China, while an increasing trend is found for Xinjiang, the eastern Tibetan Plateau, Northeast China and Southeast China. The decreasing trend of effective precipitation days for the middle- lower Yellow River valley and the increasing trend for the lower Yangtze River valley are most likely linked to anomalous monsoon circulation in East China. The most important contributor to the trend in effective precipitation depends upon the region concerned.     

陕西果业基地伏旱指数及其预报方法

选取陕西苹果(梨)生产基地县中生态环境、气候特点与苹果(梨)产业发展水平具有代表性的10个台站,近40 a(1969—2008年)伏期降水量和无降水日数资料,设计并计算其伏旱指数。将伏旱指数分成强、偏强、中等、偏弱和弱五个等级,并用典型k阶自回归AR(k)预测模式进行独立样本预测试验。结果表明:伏旱指数能够较客观地反映基地县的伏旱强度,且伏旱指数的时空分布特征差异较大。这与这些基地县所处纬度、海拔高度、生态环境和气候背景的差异有关。典型k阶自回归预测模式预测准确及基本准确率在70%左右,预报效果尚好,具有实用价值。