Peculiarities of evaporation regime of Lake Ladoga

The evaporation regime of Lake Ladoga is specified using the renewed meteorological data. The traditional approach is supplemented with a new method of estimating the impact of shallow-water zones on the evaporation intensification worked out by G.N. Panin. The obtained results corroborate that the level of precipitation minus evaporation varies in different zones of the lake that can influence the water mass redistribution in the lake in certain seasons.     

Synoptic-scale anomalies of Lake Ladoga surface temperature fields

Results of studying characteristic features of variability of the water surface temperature fields of Lake Ladoga during the open water period are presented. Anomalies and extreme deviations of real spatial distributions from those typical of the scales of synoptic variability are estimated. Typical surface temperature distribution of Lake Ladoga during an open water period occupies not more than 20% of the lake area. The near-shore shallow water area is characterized as an area of most anomalous water temperature distribution. The abnormality extent changes from month to month. July is the most anomalous month of the open water period.     

Spatial patterns and temporal trends of precipitation in Iran

Spatial patterns of monthly, seasonal and annual precipitation over Iran and the corresponding long-term trends for the period 1951–2009 are investigated using the Global Precipitation Climatology Centre gridded dataset. Results suggest that the spatial patterns of annual, winter and spring precipitation and the associated coefficients of variation reflect the role of orography and latitudinal extent between central-southern arid and semi-arid regions and northern and western mountainous areas. It is also shown that precipitation occurrence is almost regularly distributed within the year in northern areas while it is more concentrated in a few months in southern Iran. The spatial distribution of Mann–Kendal trend test (Z statistics) for annual precipitation showed downward trend in north-western and south-eastern Iran, whereas western, central and north-eastern exhibited upward trend, though not statistically significant in most regions. Results for winter and autumn revealed upward trend in most parts of the country, with the exception of north-western and south-eastern where a downward trend is observed; in spring and summer, a downward trend seems to prevail in most of Iran. However, for all seasons the areas where the detected trend is statistically significant are limited to a few spot regions. The overall results suggest that the precipitation is decreasing in spring and summer and increasing in autumn and winter in most of Iran, i.e. less precipitation during the warm season with a consequent intensification of seasonality and dryness of the country. However, since the detected trends are often not statistically significant, any stringent conclusion cannot be done on the future tendencies.     

Temperature and precipitation long-term trends and variations in the Ili-Balkhash Basin

This study analyzed the long-term trends and variations of temperature and precipitation on annual timescale in the Ili-Balkhash Basin (IBB), Kazakhstan. Some statistical tools were employed to detect any climate variations at four stations in the IBB during the period between 1936 and 2005. These methods included the Mann–Kendall trend test, the Theil–Sen approach, and the sequential Mann–Kendall test. The results showed that in temporal scale, the climate in the IBB has been becoming warmer and wetter in the past several decades as a whole. The annual mean temperature and the annual precipitation in the IBB showed an increasing trend since the 1970s and the 1940s, respectively. The significance of the annual mean temperature and annual precipitation trends in the IBB was tested at >95 % confidence level. The slope of the increasing trend of annual mean temperature ranges from 0.019 to 0.029 °C/year, and that of the annual precipitation ranges from 0.654 to 2.179 mm/year. In spatial scale, the multiyear mean values of temperature and precipitation are greater in the southern mountain region than those in the northern plain and hilly land area of the basin. The multiyear mean temperature decreases with the increasing latitudes, while increases with the increasing altitudes except for Karaganda; the multiyear mean precipitation increase with the increasing altitudes, while decreases centered with the Lake Balkhash from the surrounding area. The results may provide climatic backgrounds for solving the problems related to water sources of the IBB.     

Dangers of multiyear averaging in analyses of long-term climate trends

Multiyear averaging in studies seeking long-term trends can be risky and misleading. It is shown here that a change of 1 year in the starting point of the averaging done in generating a multiyear-average sequence can make a dramatic difference in the appearance of the sequence, even including whether the apparent trend is upward or downward. An example is given in which the same time series, when grouped to 3-year averages by starting in turn at the first, second, and third points of the series, yields one 3-year-average sequence that is monotonically increasing, a second 3-year-average sequence that is monotonically decreasing, and a third 3-year-average sequence that has constant values. Furthermore, it is proven in general that such series can be created for n-year averages for any integer n > 2, and can be extended to exceed any desired length. Finally, historical sea-ice data from Iceland are used to illustrate with a long-term climate data set the misrepresentation of climate statistics which can occur through selective multiyear averaging.     

Influence of water vapor and aerosol on the integral transparency of the atmosphere

The temporal variability of the total atmospheric water content W and the connection of the coefficient of integral transparency P ₂, reduced to the air mass m = 2, with W and aerosol optical depth τ _a ,λ₀ at a wavelength of 550 nm were analyzed and studied from the observational data of the Meteorological Observatory of Moscow State University for 50 years (1955–2004). The regression equations between mean daily and monthly τ _a ,λ₀ and τ₂ = ?ln P ₂ were derived in different months and seasons and can be used for retrieving τ _a ,λ₀ from the coefficient of the integral transparency for the temperate latitudes. The P ₂ intervals are given for which these equations can be used.     

贵州夏季大暴雨天气的时空分布特征分析

利用贵州省1998—2007年5—8月逐日降水资料,分析了贵州夏季大暴雨的时空分布特征和基本特点。贵州大暴雨站次年际变化呈波浪型起伏变化,与大暴雨天数变化趋势较为一致;大暴雨主要出现在6—7月,共出现200站次,占总站次的83％,6月上旬-7月下旬是大暴雨发生的集中期,其中6月下旬和7月上旬最为集中,出现96站次,占总次数的40％;大暴雨的地域分布受地形的影响显著,总体分布不均,位于苗岭东西两段、大娄山和武陵山的东南坡的迎风坡是贵州省的大暴雨中心;大范围大暴雨发生较少,主要在6月下旬和7月中上旬;以单日大暴雨为主,连续性大暴雨以2d居多。     

Response of the water balance in Greece to temperature and precipitation trends

This paper deals with the most recent trends in meteorological and hydrological variables, which include air temperature and precipitation (P), potential and actual (ET) evapotranspiration, surface runoff (RO), water recharge into the soil (R) and water loss from the soil (L). Most hydrological variables were calculated via Palmer's algorithm. For this purpose, two rank-based statistical tests (the Mann?CKendall (MK) and a change-point analysis (CPA) approach) and the basic linear regression-based model were applied on the weekly precipitation and temperature from 17 stations all over Greece, during 1961?C2006. Only in winter, all variables except for R, which showed no clear signal, presented downward trends. The declining trends of P and L in spring and summer were counterbalanced by reductions in RO (and R in the case of summer) as opposed to increases in ET. In autumn, the declining tendencies of P and L were offset by RO reductions and R increases. Annually, the trends in water cycle components were analogous to that of spring, summer and autumn. The number of stations with statistically significant (at 95%) trends greatly varied with season and meteorological/hydrological variable.     

Present-day characteristics and trends of long-term changes in ecological and toxicological conditions of the Tsimlyansk Reservoir

The analysis of ecological and toxicological conditions of the Tsimlyansk Reservoir and of trends of long-term variations of hydrochemical, hydrobiological, and biotesting parameters is carried out on the basis of long-term data of Roshydromet regular observations (1984?C1991) and authors?? studies (1990, 2006?C2007). It is revealed that, according to the complex of chemical parameters, the water pollution level decreased by the end of the period and is relatively low at present, although the pollution is of stable nature and the toxic and carcinogenic compounds are discovered in the water and in bottom sediments. The most dangerous display of the reservoir eutrophication is a ??bloom?? of algae characterized by the prevalence of blue-green algae (Cyanophyta) amounting to 100% of the total biomass in some samples; the species being able to discharge the toxins to the water (Aphanisomenon flos-aquae, Microcystis aeruginosa, Anabaena flos-aquae) often prevail. During biotesting, the samples of water and bottom sediments in a number of cases exerted a toxic effect on the water organisms and, most likely, the toxicity increases with time. Although different parts of the reservoir differ considerably in ecological and toxicological parameters, an ecologically unfavorable situation emerged in the reservoir ecosystem due to the pollution, eutrophication, and toxicophication.     

中国东北地区中尺度对流复合体的时空分布特征

普查2005年5月1日至2008年9月30日FY-2C每隔30 min一次的红外云图,根据修正的MCC（Mesoscale Convective Complexes）标准,统计分析中国东北地区出现的MCC变化。结果表明：4 a共出现了22个MCC,其中19个出现在7-8月;东北地区MCC生成源地有明显的地域特点,MCC的生成与大兴安岭的地形密切相关,而辽宁和吉林东部极少生成MCC。中国东北地区MCC平均生命史为9.3 h,比美洲及中国南方地区都短,而≤-52℃和≤-32℃冷云罩面积明显大于以上两个区域;东北地区具有明显的夜发性特征,近85 %的MCC生成于午后到傍晚,15-24时是MCC对流最旺盛的时段。     

基于GIS的秦岭山地气温空间分布

提出一种以气象站点观测资料为基础,用G IS技术建立山地平均气温分布模型的方法。通过数字高程模型(DEM),获取地形数据,建立山地天文辐射模型。考虑海拔高度、地形等影响气温空间分布因子,建立山地气温分布模型。     

ＭＯＤＩＳ卫星监测陕西地表热异常点时空分布规律

利用从MODIS Web Fire系统获取的2001—2009年陕西省内的热点数据,采用MODIS卫星的全球火点监测算法V04,分析得到陕西省地表热异常点发生分布的时空规律:2001—2005年逐年增加,2005—2009年逐年减少;每年的2—4月和6—7月为地表热异常点多发时段。林区热异常点的高峰期分别为3月(多发区为陕北的黄龙山林区和陕南的商洛市)及夏收后。     

2011年深圳人体舒适度空间分布特征及影响因子分析

利用深圳多个区域自动气象站资料,采用考虑了气温、风速、相对湿度等要素的人体舒适度计算方案,计算了深圳地区的人体舒适度指数以及不同舒适等级天数,分析了城市地形地貌、路网密度和人口密度等因素对人体舒适度的影响。结果表明：深圳地区沿海比内陆舒适,全市全年舒适天数为7-9个月,夏季感觉热的天数约为2-3个月,冬季感觉冷的天数大部分地区为30 d左右。从不同地区人体舒适度指数的日变化特征来看,夏季比冬季更易受地理位置和下垫面等因素影响。地形地貌、海陆分布、城市规划等地理因素对人体舒适度均有一定影响,相关分析表明海拔高度、道路占地面积和人口密度与热-炎热日数呈对数关系。但在深圳的东部人口稀疏和道路占地较小地区也并非舒适宜人,也会出现较多炎热天气,这与该地区年平均风速相对微弱有直接关系。     

Spatial and temporal trends of extreme temperature and precipitation in the Daqing River Basin,North China

Theoretical and Applied Climatology - According to the daily maximum and minimum temperature and the precipitation at 40 meteorological stations in the Daqing River Basin of China during...     

Role of exchange flow in salt water balance of Urmia Lake

In this paper we examine how exchange flow in Urmia Lake plays a crucial role in dynamics of the lake. Urmia Lake, a very large hyper-saline lake of high ecological significance, is located in northwest of Iran with a 15-km causeway dividing it into north and south lakes. A 1250-m opening in the causeway near the east coast links the two lakes. The differences in mean water levels and densities of the two lakes increase in spring due to large freshwater inflows into the south lake. High evaporation dominates the lake in summer. By incorporating the results of a two-layer hydraulics theory into a mixing model of the lake, we show that the exchange flow through the opening diminishes the water level and salinity differences of the two lakes and hence helps restoration of the pre-construction state of the lake by the end of fall. The model results are confirmed by the field data. The north–south and south–north flows through the opening are equal in most of the year, except in spring when the south–north flow is greater due to the head difference of the two lakes.