An Analysis of Thermal Stress of Climate in Hong Kong

The universal scale of apparent temperature (AT) and clo, a unit measuring the amount of clothing insulation required to maintain comfort, were used to examine the weather stress in Hong Kong. Hourly AT and clo values were computed using hourly air temperature, wind speed, vapour pressure and cloud cover data from 1980 to 1994. Results of both AT and clo reflected highly corresponding changes of thermal stress. It is found that the most stressful time in winter and summer occurred in the early morning and afternoon, and cool weather and tropical ensembles were required to surmount the extreme weather stress respectively. A greater percent of time with severe heat stress than those with extreme cold stress was discovered. These results also indicated that clo is a more informative weather stress index than AT since it provides both the thermal stress and clothing requirements to sustain comfort.     

1960-2010年中国西南地区0 ℃层高度变化特征

使用西南地区1960-2010 年14 探空站高空气象资料和对应的14 个地面观测站的5 个气温要素和2 个降水要素资料,通过Mann-Kendall 检验,线性趋势法、相关分析法及R/S 分析方法,分析了西南地区0 ℃层高度的时间变化特征和空间分布情况以及0 ℃层高度与气温、降水、海拔的相关性分析,并预测了0 ℃层高度未来变化趋势及持续性强度。结果表明:(1) 西南地区0 ℃层高度年代际变化表现为自20 世纪70 年代后突然降低之后逐渐升高的趋势,各季节年代际变化也不尽相同;(2) 西南地区0 ℃层高度在年际变化方面,在全年、秋季和冬季处于上升趋势,以冬季变化趋势最为明显且通过了显著性检验,春季和夏季处于不明显的下降趋势;(3) 西南地区0 ℃层高度的空间分布表现为由南向北逐渐降低的趋势,夏季较为均匀,从年际变化空间分布来看,年、季节变化空间差异也比较明显;(4) 西南地区各气温和降水要素表现出非常明显的空间差异,与降水各要素相比较,气温各要素与0 ℃层高度相关性更显著;从0 ℃层高度与海拔高度相关性来看,夏季0 ℃层高度与海拔高度相关性最好,而与其他季节及年的相关性不明显。(5) 未来趋势预测表明,西南地区年、季节0 ℃层高度变化趋势与过去一致,并且大部分站点保持较强的持续性。     

Spatiotemporal characteristics of seasonal precipitation and their relationships with ENSO in Central Asia during 1901–2013

The vulnerable ecosystem of the arid and semiarid region in Central Asia is sensitive to precipitation variations. Long-term changes of the seasonal precipitation can reveal the evolution rules of the precipitation climate. Therefore, in this study, the changes of the seasonal precipitation over Central Asia have been analyzed during the last century (1901–2013) based on the latest global monthly precipitation dataset Global Precipitation Climatology Centre (GPCC) Full Data Reanalysis Version 7, as well as their relations with El Niño- Southern Oscillation (ENSO). Results show that the precipitation in Central Asia is mainly concentrated in spring and summer seasons, especially in spring. For the whole study period, increasing trends were found in spring and winter, while decreasing trends were detected in summer and fall. Inter-annual signals with 3–7 years multi-periods were derived to explain the dominant components for seasonal precipitation variability. In terms of the dominant spatial pattern, Empirical orthogonal function (EOF) results show that the spatial distribution of EOF-1 mode in summer is different from those of the other seasons during 1901–2013. Moreover, significant ENSO-associated changes in precipitation are evident during the fall, winter, spring, and absent during summer. The lagged associations between ENSO and seasonal precipitation are also obtained in Central Asia. The ENSO-based composite analyses show that these water vapor fluxes of spring, fall and winter precipitation are mainly generated in Indian and North Atlantic Oceans during El Niño. The enhanced westerlies strengthen the western water vapor path for Central Asia, thereby causing a rainy winter.     

中国空气质量时空变化特征

基于2015年中国343个地区空气质量指数(AQI)数据,运用统计分析和空间自相关分析方法,对全国及陆地表层系统九大区域空气质量时空变化特征进行分析。结果表明:①全国及九大区域空气质量春季较差、夏秋优良、冬季最差,AQI季节均值呈现"U"形变化特征。②全国及九大区域AQI月均值变化趋势呈现"L"形特征。③全国及九大区域AQI日均值变化趋势呈现周期性W～脉冲型波动规律。④"高污染"和"低污染"区域呈现出北高南低的南北分异格局。⑤九大区域首要污染物频次结构差异明显,频次最高的首要污染物PM2.5或者PM10在空间上呈现出明显的东西分异格局。     

Spatial land use regression of nitrogen dioxide over a 5-year interval in Calgary,Canada

We analysed the spatial distribution of nitrogen dioxide over Calgary (Canada) in summer 2010 and winter 2011 and in summer 2015 and winter 2016, and estimated land use regressions for 2015–16 (2010–11 models were estimated previously). As nitrogen dioxide exhibited spatial clustering, we evaluated the following spatial specifications against a linear model: spatially autoregressive (lag), spatially autoregressive (error), and geographically weighted regression. The spatially autoregressive (lag) specification performed best, achieving goodness-of-fit aligned with or greater than values reported in the literature. We compared the 2015–16 spatially autoregressive models with the 2010–11 models and reparametrized them on the 2010–11 and the 2015–16 data. Finally, we identified a single set of predictors to best fit the data. Nitrogen dioxide concentration decreased over the 5 years, retaining consistent spatial and seasonal patterns, with higher concentrations over traffic corridors and industrial areas, and greater variation in summer than winter. The multi-temporal analysis suggested that spatial land use regressions were robust over the time interval, despite moderate land use change. Multi-temporal spatial land use regressions yielded consistent predictors for each season over time, which can aid estimation of air pollution at fine spatial resolution over an extended time period.     

塔克拉玛干沙漠周边地区潜在蒸散时空演变特征及其主要影响因素

潜在蒸散是区域干湿状况评价、作物需水量估算和水资源合理规划的关键因子。基于FAO推荐的Penman-Monteith公式和16个台站1961-2009年逐日气象观测资料,估算塔克拉玛干沙漠周边地区的潜在蒸散量ET0,在对ET0的时空演变特征进行分析的基础上,探讨了影响该地区ET0变化的主要因素。结果表明,塔克拉玛干沙漠周边地区独特的自然地理条件导致多年平均潜在蒸散的分布和变化具有明显的空间差异。49 a来塔克拉玛干沙漠周边地区年和四季ET0变化整体上均为下降趋势,时间演变过程中在20世纪90年代初期均由下降趋势转为缓慢上升趋势。空间上,ET0变化在北部地区多为显著下降趋势,而南部地区多不显著;春、夏、秋3季ET0变化趋势的空间分布与年情况比较一致,但冬季ET0呈上升趋势的站点明显增多。影响塔克拉玛干沙漠周边地区多数站点ET0变化的主导因子是风速;第二影响因子春季和夏季主要是日照时数,而影响秋季和冬季ET0变化的主要是平均气温。     

Effects of interannual variations in environmental conditions on seasonal range selection by Mongolian gazelles

To examine the effects of interannual variations in environmental conditions on the seasonal range selection and movement pattern of Mongolian gazelles Procapra gutturosa, we compared the summer and winter ranges of satellite tracked gazelles among 3 years, and we analyzed the environmental conditions in the gazelles' seasonal ranges by using a satellite-derived normalized difference vegetation index (NDVI). The movement pattern of the tracked Mongolian gazelles was not regular migration between specific seasonal ranges. The locations of the summer ranges in 2003 and 2004 were similar for all gazelles, but in 2005, when the NDVI values were lower, the animals ranged about 30–70 km farther north, suggesting that the gazelles used areas of similar vegetation availability with former 2 years. The winter ranges were widely separated among years; the longest distance between winter ranges of the same individual in different years was about 340 km. During winter, the NDVI values of the winter ranges of tracked gazelles were almost always higher than or not significantly different from the mean of the 3-year range. Conservation strategies to allow access to wide ranges containing suitable areas in each year for gazelles, which location is changing interannually, are important.     

1982~1999 年我国东部暖温带植被 生长季节的时空变化

利用1982~1996 年5 个站点的植物群落物候观测数据和物候累积频率拟合法, 划分各站逐年的植被物候季节, 并确定各季节初日对应的当地归一化差值植被指数(NDVI) 阈值。 在此基础上, 通过对物候站各年NDVI 曲线的年型聚类分析和区内所有像元逐年NDVI 曲线的空间聚类分析, 实现植被物候季节的时空外推估计, 从而得到我国暖温带落叶阔叶林地区1982~1999 年植被物候季节初日和生长季节长度的时空格局。结果表明, 多年平均的植被物 候季节初日和生长季节长度呈现出主要随纬度和海拔高度变化的空间格局。在这18 年中, 整 个区域的物候春季初日以提前为主, 且以华北平原提前的趋势最为显著;夏季、秋季和冬季 初日以推迟为主, 也以华北平原推迟的趋势比较显著;因此, 华北平原植被生长季节呈显著 延长的趋势。本文揭示的植被物候季节初日的趋势变化与华北地区各季节气温的趋势变化基本吻合;植被生长季节的趋势变化特征与欧洲单种植物物候生长季节, 以及欧亚大陆和我国温带遥感植被生长季节的趋势变化基本一致, 但植被生长季节初、终日期和长度的趋势值明显大于后者, 表明该地区植物物候对于气候变暖的响应更加敏感。     

西南地区大气降水中氢氧稳定同位素特征与水汽来源

为阐明西南地区稳定同位素与大气降水的关系,对GNIP昆明、贵阳、桂林、成都站点δD和δ18O进行分析,初步建立当地大气降水线方程,并与中国及全国降水线方程进行对比,揭示该降水线方程的特征.研究表明：大气降水稳定同位素组成受到温度、蒸发、水汽源地等多种因素的相互影响,在不同时间有很大差异.西南地区降水中的δ18O值表现出“夏高冬低”的季节特点.d值呈现出降水中过量氘水汽来源不同的特点,贵阳和桂林地区d值表现为“冬高夏低”的季节特点,而昆明和成都地区却与此相反,d值则表现为“夏高冬低”独特的季节性特征.     

Spatial patterns of seasonal scale trends in extreme hourly precipitation in South Africa

Hourly precipitation data from 1998 to 2007 spread across 102 stations in South Africa were analyzed for trends in extreme hourly precipitation events. The analyses were conducted at the seasonal scale for summer and winter for nine different variables. The results of our analysis showed predominantly positive trends during summer, with the strongest trends concentrated in the coastal areas in the southeast. The spatial variations in the trends were reversed during the winter season, with negative trends observed in the coastal areas and positive trends occurring in the interior. The summer patterns also overlap with areas experiencing overall increasing trends in annual extreme precipitation as well as a stronger diurnal cycle identified in recently published literature.     

Seasonal variation in dust events and the causes of the variation in the Tarim Basin, China

We analyzed dust event occurrence and its seasonal distribution at 16 sites in the Tarim Basin,China.Although the overall frequency of dust events was the highest in spring in this region,its variation in other seasons could be classified into three patterns:(1) frequency of dust events in autumn > that in summer > that in winter(at the Kashi and Kuche sites);(2) frequency in summer > that in winter > that in autumn(at the Ruoqiang site);and(3) frequency in summer > that in autumn > that in winter(at all other areas of the Tarim Basin).The frequency of dust events and their seasonal variations in the Tarim Basin were mainly controlled by wind speed and locally available dust sources;the former was the key control when dust sources did not differ significantly.The seasonal variation in evaporation had a smaller,but still significant effect on the frequency of dust events.     

中国年和季节极端降水时空特征 及极值分布函数上尾部性质

基于热带气旋时间、路径、强度数据和中国728个气象站点1951~2014年日降水数据,分析了年和季节极端降水广义极值（GEV）分布函数特征及受热带气旋的影响。通过检查年和各季节极端降水的非一致性,发现具有变异点或显著时间趋势的站点占总站点数的比例较低。仅考虑满足一致性的站点,年和各季节极端降水GEV分布上尾部在全国大部分区域表现出厚尾特征,且不具有上边界。总体来看北方厚尾特征重于南方,秋季和冬季明显高于年和夏季。年极端降水厚尾特征受到不同季节极端降水机制的混合影响。而且,热带气旋对中国沿海区域极端降水有重要影响,往往引发大量级极端降水。东南沿海地区最大10场极端降水由热带气旋引发的比例达到60%以上。因此热带气旋趋向于增加沿海区域年极端降水GEV分布形状参数的大小,并控制着曲线上尾部的形状。     

塔克拉玛干沙漠地表潜热时空特征分析

利用1979年3月至2004年2月月平均的NCEP/DOE再分析地表潜热资料,在分析塔克拉玛干沙漠四季潜热基本气候特征的基础上,通过EOF方法,对沙漠地表潜热异常变化的空间结构和时间演变趋势作了诊断研究。结果表明：①沙漠地区夏季潜热最大,春季和秋季次之,冬季最小;靠近山区的沙漠西部、西北部地区四季明显大于中、东部地区。②根据四季地表潜热距平场的EOF分析,该区潜热异常主要有全区一致型、南北差异型以及西北—东南差异型三种常见的分布模态。③25 a期间,塔克拉玛干沙漠地表潜热在第一空间尺度上四季都有不同程度增强的趋势;在第二空间尺度上,春季沙漠北部、西北部有减弱的趋势,南部、东南部有增强的趋势,而冬、夏、秋季变化趋势不是很大。     

Variability and spatial modeling of fine-scale precipitation data for the Sonoran Desert of south-west Arizona

We present a unique new set of high spatial resolution precipitation data from a storage gauge network, for the sparsely observed northern Sonoran desert in south-west Arizona. We examine the nature and causes of the highly complex seasonal and spatial variability in the data, using fine-scale maps developed via spatial modeling and interpolation. These high-resolution maps had explained variances approaching 1·00, and precipitation errors of about 1% in winter and about 10% in summer. Seasonal precipitation ranges from near zero to almost 15 in across the area, and shows high interannual variability. Localized convectional processes lead to summer anomalies that are more spatially complex than in winter when broad-scale synoptic and frontal processes cause precipitation. In general, summer and winter precipitation variability are tied to meridional-zonal shifts and east–west movement of the respective anticyclone or trough pattern over the region. Statistical links between major weather stations in the region and precipitation across the area are spatially inconsistent, especially in the west.     

亚热带樟树树干液流通量变化规律

采用热脉冲技术于2013―2015 年连续测定了樟树的树干液流,并同步监测了环境因子,分析了樟树树干液流日变化和季节变化特征以及对不同环境条件的响应。结果表明：樟树树干液流速率晴天日变化为典型的单峰型曲线,季节变化明显,液流速率峰值夏季＞春季＞秋季＞冬季,峰宽随季节变化存在“窄→宽→窄”的逐步变化过程。樟树存在微弱的夜间液流,且生长季较其他月份活跃。液流启动时间夏季最早,冬季最晚,液流结束（进入夜间低值）时间夏季晚于冬季约1~2 h。上下午液流量比值均＜1,平均值为0.74。同月不同天气条件下,液流速率和液流量均为晴天＞阴天＞雨天。干旱环境下,樟树树干液流峰值下降了约95%,与2014 年相比,同期内液流总量减少了约47.8%,在干旱中液流量与气温、水汽压亏缺呈显著负相关,改变了常年中（没有干旱）液流量与气温和水汽压亏缺呈显著正相关的关系。干旱显著降低了樟树的树干液流量,也反映了樟树对干旱的适应过程。     

Seasonal variation of sedimentation in the Changjiang Estuary mud area

Seasonal distributions of suspended matter and their sedimentary effect on the Changjiang Estuary mud area of the East China Sea were discussed, based on three cruise data of total suspended matter, temperature and salinity collected from the Changjiang Estuary and its adjacent area in summer and winter. The results show that the basic pattern of distributions of suspended matter in the study area is almost the same in winter and in summer. Sediments from Changjiang (Yangtze River) to the sea are chiefly trapped to the west of 123o15'E due to a strong obstruction of the Taiwan Warm Current. This suggests that these sediments are mainly transported and deposited in the inner shelf. The sediment supply, Taiwan Warm Current, and Zhejiang Coastal Current show a strong seasonal variation, which results in a strong seasonal variation of the sedimentary effect on this mud area. This mud area is a "sink" of the Changjiang's sediment discharge to the sea and its sedimentation is stronger in summer and weaker in winter.     

长江口泥质区的季节性沉积效应

1IntroductionThe continental shelf of the East China Sea (ECS) is one of the widest shelves in the world. There are several mud areas distributing like patches on a background of widespread coarser ambient sediments of silt and sand on the continental shelf of the ECS. The coastal mud area can be divided into two parts, namely, the Changjiang Estuary mud area (CEMA) in the north and Zhejiang coastal mud area in the south. Between these two parts there is a silt area (Figure 1). The CE…     

广州市主城区风道特征与通风效能评估

本文以广州市主城区为研究对象,简化城市建筑群后绘制出无建筑区域的中心线,进而识别风道.利用2016年逐时风向风速数据,基于GIS提出了度量风道物理、热力属性的指标,据此分析风道特征,并对通风效能进行了评估.研究表明:①在40 m分辨率下识别出潜在风道中心线共有2451条,相互组合后达到风道标准的有142条,总通风面积为...     

Spatio-temporal variation in China’s climatic seasons from 1951 to 2017

In this paper,meteorological industry standard,daily mean temperature,and an improved multiple regression model are used to calculate China's climatic seasons,not only to help understand their spatio-temporal distribution,but also to provide a reference for China's climatic regionalization and crop production.It is found that the improved multiple regression model can accurately show the spatial distribution of climatic seasons.The main results are as follows.There are four climatic seasonal regions in China,namely,the perennial-winter,no-winter,no-summer and discernible regions,and their ranges basically remained stable from 1951 to 2017.The cumulative anomaly curve of the four climatic seasonal regions clarifies that the trend of China's climatic seasonal regions turned in 1994,after which the area of the perennial-winter and no-summer regions narrowed and the no-winter and discernible regions expanded.The number of sites with significantly reduced winter duration is the largest,followed by the number of sites with increased summer duration,and the number of sites with large changes in spring and autumn is the least.Spring advances and autumn is postponed due to the shortened winter and lengthened summer durations.Sites with significant change in seasonal duration are mainly distributed in Northwest China,the Sichuan Basin,the Huanghe-Huaihe-Haihe(Huang-Huai-Hai) Plain,the Northeast China Plain,and the Southeast Coast.     

Increasing free-air 0℃ isotherm height in Southwest China from 1960 to 2010

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 statistically 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.