An Examination of ENSO’s Effect on the Monthly and Seasonal Climate of Hong Kong from a Statistical Perspective

This study aims to examine the effect of El Nino and La Nina on the monthly and seasonal climate of Hong Kong against the ENSO-neutral situation from a statistical perspective. Monthly and seasonal temperature and rainfall of Hong Kong and monthly number of tropical cyclones (TCs) coming within 500 km of the city over the 59-yr (1950-2008) period are examined under three ENSO situations, namely El Nino, La Nina, and ENSO-neutral. It is found that, compared with the ENSO-neutral situation, El Nino tends...     

香港城市与郊区气候差异分析

香港天文台近年的研究显示,香港的气温上升是由温室效应增强所导致的全球变暖及本地高密度城市发展的共同影响.除温度外,香港因受城市化影响,相对湿度在城市与郊区之间亦有很明显的差异.选取1989-2006年较能代表香港市区与郊区情况的气象站每小时气温和相对湿度数据,初步比较了香港市郊温度和相对湿度差异的日变化和季节变化,并试图分析这些差异变化与城市化影响的关系.结果显示郊区的气温变化幅度比市区大、变化也较突然,市区晚间至清晨气温较郊区为高;日间情况大致逆转,但气温差别幅度不及晚间.一年之中,城市化效应在冬季最为显著,春季则最不明显.市郊相对湿度的差异同样很明显.晚间至清晨市区相对湿度较郊区为低,日间相反.     

基于DERF的SD方法预测月降水和极端降水日数

针对动力气候模式对区域或更小空间尺度内的日降水预测技巧偏低的问题,应用最优子集回归 (OSR) 方法对国家气候中心业务化的月动力气候模式 (DERF) 输出的高度场、风场和海平面气压场进行降尺度处理用于降水预测,旨在提高预测准确率。1982—2006年交叉检验结果表明：OSR方法能显著提高降水预测技巧,其中11~40 d改善效果最为显著。在此基础上,应用一步法和两步法两种统计降尺度方法预测极端降水日数,交叉检验结果表明:两种方法均优于随机预测,冬季两步法预测技巧略高于一步法,夏季一步法略优于两步法。综合认为OSR,OSR结合随机天气发生器 (WG) 两种统计降尺度方法对月尺度降水或极端降水日数的预测均具有较高的技巧,可作为短期气候预测的重要参考信息。     

百余年的ENSO事件与北京汛期旱涝的统计关系

利用王绍武等人最近对近百年ＥＮＳＯ事件及强度的研究结果,对ＥＮＳＯ事件与北京汛期相当暴雨日数的统计关系进行分析,表明,ＥＮＳＯ事件与北京沁期旱涝存在较复杂的统计关系,ＥＮＳＯ事件的性质,强度,起始季节和持续时间长短等与汛期旱涝的对应关系是复杂的。根据１８６７－１９９８年的ＥＮＳＯ事件和同期北京汛期相当暴雨日数资料,给出一些统计结果。     

利用人工降水效果统计量评价人工降水效果

采用统计数值模拟方法研究人工降水增雨效果统计量的分布及特征,结果表明：人工降水地量服从正态分布（正态拟合概率〉０．７０）,增雨效果统计量的均值与增雨效果相关密切（ｒ〉０．９９,ａ〈０．００１）,一元线性回归方程显著,可信度达９９％以上,利用这一规律,通过统计增雨效果统计量可以求出人工增水效果。     

Past and Future Changes in the Climate of Hong Kong

Over the years, the Hong Kong Observatory has carried out scientific studies to evaluate the observed climate trends and project the future climate in Hong Kong. Analysis of the meteorological observations at the observatory's headquarters in Tsim Sha Tsui since 1885 reveals that the temperature rise in Hong Kong during the past 124 years is in accord with the global rising trend. The accelerated rising trend in the mean temperature in last few decades may be attributed to the anthropogenic influences, especially urbanization. A similar increasing trend is also observed for rainfall. Other observations such as increasing cloud amount and decreasing total global solar radiation are all consistent with the global trend. Studies of past occurrences of extreme temperature and rainfall have also been carried out. The results indicate that cold episodes have become rarer while very hot days and heavy rain events are becoming more frequent. The observatory also makes use of the data from the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC) and employs statistical downscaling techniques to carry out projections of temperature and precipitation in the 21st century. It is found that the rise in temperature in Hong Kong will be slightly higher than the global mean in the 21st century. The annual rainfall in Hong Kong is also expected to rise by the end of the 21st century, so is its year-to-year variability.     

A Reconstructed Wind Stress Dataset for Climate Research over the Tropical Pacific during a 153-Year Period

There are close relationships between the sea surface temperature (SST) and the surface wind over the tropical Pacific.To study the past climate variability over the tropical Pacific,the long-term monthly wind stress anomalies over the tropical Pacific for the period of 1856–2008 are reconstructed with an SVD (singular value decomposition)-based statistical atmospheric model,where the wind stress anomalies are slave and directly correspond to the SST anomalies.The verification results show that the reconstructed wind stress data have high correlations and a small root mean square (RMS) error with the three reanalysis/simulated surface wind datasets from the last 50 years.In addition,the simulated SST anomalies from an intermediate oceanic model (IOM),which is forced by the reconstructed wind stress,can simulate the realistic interannual and decadal variability of the ENSO (El Nio-Southern Oscillation);this indicates that this new long-term wind stress dataset is useful for various climate studies,especially for the large-scale interannual and decadal variability.     

Volcanoes and Climate: Sizing up the Impact of the Recent Hunga Tonga-Hunga Ha'apai Volcanic Eruption from a Historical Perspective

An undersea volcano at Hunga Tonga-Hunga Ha'apai (HTHH) near the South Pacific island nation of Tonga, erupted violently on 15 January 2022. Potential climate impact of the HTHH volcanic eruption is of great concern to the public; here, we intend to size up the impact of the HTHH eruption from a historical perspective. The influence of historical volcanic eruptions on the global climate are firstly reviewed, which are thought to have contributed to decreased surface temperature, increased stratospheric temperature, suppressed global water cycle, weakened monsoon circulation and El Ni?o-like sea surface temperature. Our understanding of the impacts of past volcanic eruptions on global-scale climate provides potential implication to evaluate the impact of the HTHH eruption. Based on historical simulations, we estimate that the current HTHH eruption with an intensity of 0.4 Tg SO₂ injection will decrease the global mean surface temperature by only 0.004°C in the first year after eruption, which is within the amplitude of internal variability at the interannual time scale and thus not strong enough to have significant impacts on the global climate.     

全球气候变暖背景下登陆我国台风特征的分析

利用1949-2002年西北太平洋热带气旋、登陆我国台风和全球地面温度资料，对登陆我国台风的频数、强度以及登陆位置的年际变化，特别是趋势特征进行了分析，并与西北太平洋台风的变化特征作了对比。结果表明：在全球气候变暖背景下，我国登陆台风频数的减少趋势没有西北太平洋台风频数的减少趋势强；登陆台风的平均强度和极端强度均有减弱趋势，极端强度的减弱趋势尤为明显，但其强度弱于西北太平洋台风。在1968-2002年全球明显增暖时段，我国台风登陆位置偏向我国中部，西北太平洋台风在生命史中强度达最强时的位置有向北移动的趋势。     

ENSO事件对中高纬大气低频振荡的调频作用

采用诊断方法研究了El Nino和La Nina事件对中高纬大气低频振荡的调频作用。应用1950—1996年北半球中高纬逐日500 hPa高度场资料进行功率谱分析得出：夏季低频振荡较弱,冬季低频振荡较强;El Nino事件有使低频振荡周期缩短的趋势,La Nina事件有使低频振荡周期延长的趋势。     

A Statistical Analysis on the Effect of Vertical Wind Shear on Tropical Cyclone Development

Using tropical cyclone (TC) best track and intensity of the western North Pacific data from the Joint Typhoon Warning Center (JTWC) of the United States and the NCEP/NCAR reanalysis data for the period of 1992-2002, the effects of vertical wind shear on TC intensity are examined. The samples were limited to the westward or northwestward moving TCs between 5°N and 20°N in order to minimize thermodynamic effects. It is found that the effect of vertical wind shear between 200 and 500 hPa on TC intensity change is larger than that of the shear between 500 and 850 hPa, while similar to that of the shear between 200 and 850 hPa. Vertical wind shear may have a threshold value, which tends to decrease as TC intensifies. As the intensifying rate of TC weakens, the average shear increases. The large shear has the obvious trend of inhibiting TC development. The average shear of TC which can develop into typhoon (tropical depression or tropical storm) is below 7 m s-1 (above 8 m s-1).     

Preliminary Studies on Predicting the Tropical Indian Ocean Sea Surface Temperature through Combined Statistical Methods and Dynamic ENSO Prediction

The sea surface temperature(SST) in the Indian Ocean affects the regional climate over the Asian continent mostly through a modulation of the monsoon system.It is still difficult to provide an a priori indication of the seasonal variability over the Indian Ocean.It is widely recognized that the warm and cold events of SST over the tropical Indian Ocean are strongly linked to those of the equatorial eastern Pacific.In this study,a statistical prediction model has been developed to predict the monthly SST over the tropical Indian Ocean.This model is a linear regression model based on the lag relationship between the SST over the tropical Indian Ocean and the Ni o3.4(5°S-5°N,170°W-120°W) SST Index.The predictor(i.e.,Ni o3.4 SST Index) has been operationally predicted by a large size ensemble El Ni o and the Southern Oscillation(ENSO) forecast system with coupled data assimilation(Leefs_CDA),which achieves a high predictive skill of up to a 24-month lead time for the equatorial eastern Pacific SST.As a result,the prediction skill of the present statistical model over the tropical Indian Ocean is better than that of persistence prediction for January 1982 through December 2009.     

Projection of Extreme Temperatures in Hong Kong in the 21st Century

The possible changes in the frequency of extreme temperature events in Hong Kong in the 21st century were investigated by statistically downscaling 26 sets of the daily global climate model projections (a combination of 11 models and 3 greenhouse gas emission scenarios, namely A2, A1B, and B1) of the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. The models’ performance in simulating the past climate during 1971–2000 has also been verified and discussed. The verification revealed that the models in general have an acceptable skill in reproducing past statistics of extreme temperature events. Moreover, the models are more skillful in simulating the past climate of the hot nights and cold days than that of the very hot days. The projection results suggested that, in the 21st century, the frequency of occurrence of extremely high temperature events in Hong Kong would increase significantly while that of the extremely low temperature events is expected to drop significantly. Based on the multi-model scenario ensemble mean, the average annual numbers of very hot days and hot nights in Hong Kong are expected to increase significantly from 9 days and 16 nights in 1980–1999 to 89 days and 137 nights respectively in 2090–2099. On the other hand, the average annual number of cold days will drop from 17 days in 1980–1999 to about 1 day in 2090–2099. About 65 percent of the model-scenario combinations indicate that there will be on average less than one cold day in 2090–2099. While all the model-emission scenarios in general have projected consistent trends in the change of temperature extremes in the 21st century, there is a large divergence in the projections between difierent model/emission scenarios. This reflects that there are still large uncertainties in the model simulation of the future climate of extreme temperature events.     

东亚冬季风对ENSO事件的响应特征

基于美国NOAA在ENSO诊断分析中使用的海洋Ni?o指数 （Oceanic Ni?o Index, 简称ONI）,将1950～2005年冬季分成强El Ni?o、强La Ni?a、弱El Ni?o、弱La Ni?a和没有发生ENSO事件5类,用分类合成方法研究了冬季东亚大气环流对ENSO事件的响应。结果表明,在低纬度,大气环流对ENSO事件的响应具有较明显的准线性特征,即大气对海洋暖事件与冷事件的响应大致是反位相的,对弱ENSO事件的响应与强ENSO事件相似但强度较弱。中高纬度大气环流与ENSO事件也有一定的联系,但同等强度暖事件与冷事件下大气环流距平场上的系统分布没有呈现明显的反位相,表明大气对海温异常的响应是复杂的。强El Ni?o事件时大气的响应信号显著,主要表现在东亚中高纬西风气流增强, 亚洲北部地区气温偏高,距平风场上的切变线从长江中下游向东伸展,菲律宾海距平反气旋西北侧的偏南气流和南支槽前西南气流加强,其共同作用使南海和中国东南沿海出现显著的偏南风距平;强La Nia事件时,长江中下游向东伸展的脊线不明显,中国南方至南海处于偏北风距平区,但通过统计检验的范围减小;弱El Ni?o事件时,菲律宾海距平反气旋西北侧的西南气流偏东,与南支槽前西南气流分开,使得华南和南海的偏南风距平没有强El Ni?o时显著; 弱La Ni?a事件时,西风带纬向气流减弱,亚洲北部地区气温偏低。对ONI指数与亚洲北部温度指数（NTI）的散点图的分析显示,9个强El Ni?o冬季中有8年亚洲北部温度距平偏高,7个弱El Ni?o冬季中只有1年温度偏高;8个强La Ni?a冬季有4年温度偏低,12个弱La Ni?a冬季中有11年温度偏低;亚洲强暖冬和强冷冬的发生与ENSO事件的联系不紧密。     

ENSO事件对我国季节降水和温度的影响

对近40年来ENSO当年和次年我国季节降水和温度异常进行了合成分析和信度检验。结果表明，ENSO当年我国以少雨、低温为主，次年则相反。降水和温度异常季节变化也基本呈相反趋势。长江中下游地区显著降水异常并不发生在夏季，而在ENSO当年春、秋季和次年春季；东北地区最显著的低温也不在夏季，而在ENSO当年秋季至次年春季。根据本文结果对目前ENSO影响研究中的有关问题提出了看法。     

天津气象塔风温梯度观测资料的统计特征

利用天津气象塔风温梯度观测资料对其统计特征及平均风温廓线的日变化规律进行了分析，特别是分析了稳定层结的风温廓线特征，还给出了几种典型天气的低层大气结构的个例分析。     

利用R/S方法分析兰州城市化气候效应

运用R／S方法，对1951－1997年兰州市城市气候的温度、水汽压、相对湿度和日照百分率等指标的冬（1月）、夏（7月）及年平均值进行了分析计算，各项指标的Hurst指数H均大于0．5，说明它们存在明显的Hurst现象，反映出兰州市过去47年来气候变化存在趋势性成分，即持续性的城市化增暖，至于各项指标的Hurst指数在冬、夏及年平均值间有差异，分析证明这是兰州城市化气候效应强度季节不同所造成。     

冷涡背景下MCS的统计分析

文章首先给出冷涡的定义,根据冷涡的定义识别出冷涡,2005—2011年4—9月7年共识别出60个冷涡,主要形成在蒙古和我国的东北地区。然后根据中尺度对流系统(MCS)的标准按尺度大小将MCS分类为α中尺度对流系统（MαCS）和β中尺度对流系统（MβCS）,又按MCS的形状将MαCS分类为中尺度对流复合体（MCC）和持续拉长状对流系统（PECS）,MβCS分类为β中尺度对流复合体（MβCC）和β中尺度持续拉长状对流系统（MβECS）。利用FY 2C(2005—2009年)和FY 2E（2010—2011年）的TBB资料对60个冷涡背景下的MCS进行识别并对其时空分布特征及其与冷涡的关系进行统计分析。结果表明：(1) 60个冷涡过程识别出61个MCS,MCS通常产生在我国东北和华北,MCC和PECS生成较分散;MβCC主要集中在华北和东北地区;MβECS主要集中在东北地区。(2) 6月生成的MCS最多,有16个,9月最少。MCS大多形成于当地的下午和晚上,此时对流发展旺盛,有利于中尺度对流系统的产生,到了夜间MCS发展成熟,至凌晨—日出时分消散。(3) 冷涡背景下的MCS的移动路径多数是从西向东偏北的,其生成后主要向东移动,这和我国中纬度西风带天气系统的移动路径基本一致,但由于受冷涡等天气系统的影响,会出现不同的移动方向。位于冷涡东侧且距离冷涡中心距离较近的MCS有向东偏北方向移动的趋势;位于冷涡南侧且距离中心较远的MCS有向东偏南方向移动的趋势。(4) 冷涡背景下的MCS主要产生在冷涡的发展阶段,成熟和消散阶段相对较少。(5) 冷涡背景下的MCS主要形成在冷涡的东南部,西南部也有一小部分。(6) MβCS系统发展较MαCS系统快,持续的时间也较MαCS短。     

基于时空统计降尺度的淮河流域夏季分月降水概率预测

针对淮河流域水资源短缺、洪涝、干旱并存的问题,基于国家气候中心第二代季节气候模式的集合回报数据集(1991—2014年),建立时空相结合的统计降尺度模型,提前1—3个月预测该流域夏季分月降水,应用ROC(relative operating characteristics)评分评估比较了不同集合预测方案的预测技巧。交叉检验结果表明,样本数取18、20、22、28时,集合预测方案对3、4、5月三个起报时次预测的夏季各月降水技巧预测均高于模式预测技巧。2015—2017年的独立样本检验进一步表明该统计降尺度模型能够明显降低3月、5月起报的6月和8月的降水预测偏差。认为可尝试将该降尺度方法应用于淮河流域夏季降水预测及进一步的流域水文预测。