水系连通变异下荆南三口河系水文干旱识别与特征分析

为揭示水系连通变异下荆南三口河系水文干旱演变特征,运用荆南三口河系五站1956-2016年的月径流量数据,采用游程理论识别该河系水文干旱特征变量,并运用Kolmogorow-Smirnov优度检验法选出干旱历时、干旱强度和峰值的概率分布函数,构建出水文干旱特征联合分布Copula函数,对水系连通变异下该河系水文干旱特征进行深入研究。结果表明：① 1989年为荆南三口河系（1956-2016年）水系连通变异分割点;② 该河系连通性变异前后水文干旱特征均发生显著变化,水文干旱事件发生的次数增多,干旱历时增长,干旱强度增大,峰值增高;③ 各站点的相同单变量重现期下二维联合重现期在水系连通变异前基本上均比水系连通变异后长,二维同现重现期在水系连通变异前均比水系连通变异后短;④ 水系连通变异后,该河系水文干旱历时、干旱强度和峰值呈现增加趋势,且在相同单变量重现期的情况下,干旱历时更长,干旱强度更大,峰值更高;⑤ 水系连通变异后水文干旱特征的变化幅度与变异前存在差异,不同河系其水文干旱特征的变化幅度不同。     

CFSR气象数据在流域水文模拟中的适用性评价——以灞河流域为例

近年来,全球再分析气象数据已经越来越多地被运用到世界各地的水文建模中,但是其模拟的效果有很大差异。为探讨CFSR再分析数据在流域水文模拟中的适用性问题,本文以灞河流域为研究区,使用两种气象数据（传统气象数据和CFSR气象数据）构建SWAT水文模型,并从年和月尺度分别进行灞河流域2001-2012年的径流模拟,利用回归分析、纳什效率系数NSE和百分比偏差PBIAS等评价方法对两种数据的模拟效果进行对比。最后,提出了CFSR气象数据订正的方法。结果表明：① CFSR气象数据在灞河流域水文模拟中有一定的适用性,模拟结果的拟合优度R²>0.50,NSE>0.33,|PBIAS|<14.8,纳什效率系数NSE偏低。尽管CFSR气象数据质量存在一定问题,但是经过降雨数据订正后能够取得比较满意的模拟效果。② CFSR气象数据模拟流量比实测流量偏高,这主要是由于CFSR逐日降水数据估算的降雨天数较多、雨强较大,一般会导致该数据在水量平衡方面能够模拟出较高的基流和洪峰流量（个别年份除外）。③ 灞河流域CFSR降水数据（x）与实测降水数据（y）之间的关系大致可用幂指数方程表达：y = 1.4789x^0.8875（R² = 0.98,P<0.001）,每个CFSR站点的拟合方程略微不同,此方程为CFSR降水数据的订正提供了理论基础。     

夏季东亚地区水汽输送年代际变化特征及其对中国东部降水的影响

利用经验正交函数(EOF)分析方法和1951-2004年NCEP/NCAR月平均再分析资料及160个中国地面测站月降水资料,对夏季东亚地区水汽输送的年代际变化特征及其对中国东部降水的影响进行分析.研究结果表明:20世纪70年代中后期至90年代初期,中国东部夏季降水以"南北旱中间涝"分布型为主,90年代初期之后则以"南涝北旱"分布型为主,呈现出显著的年代际变化特征,即20世纪90年代后雨带南移的特征开始明显:夏季整层水汽输送通量主模态的空间结构及其时间系数可以较好地反映出近50年来东亚大陆东部经向水汽输送从1974年起由强变弱的"转折点"特征及其年代际减弱变化趋势:印度大陆和孟加拉湾北部、长江中下游地区、南海以及热带西太平洋地区纬向水汽输送从1973年起由弱变强的"转折点"特征及年代增强变化趋势.揭示了东亚夏季水汽输送年代际分量主模态的时空演变造成中国东部夏季降水从"南北旱中间涝"分布型转向"南涝北旱"分布型,即中国东部夏季雨带呈现出南移年代际变化特征的关键因素之一.     

AGRICULTURAL DROUGHT ON SOUTH-CENTRAL PACIFIC ISLANDS *

A pilot study of spatial patterns of agricultural drought hazard in the south-central Pacific is presented. The durations of crop stress periods are estimated using a water balance approach. A rainfall approach is used to identify dry periods corresponding to different durations. Strong correlation between the results of the two methods indicates that monthly rainfall data are sufficient for estimating the patterns of agricultural drought hazard in the region. The simpler rainfall method is particularly useful for high islands where data required for the water balance approach are not sufficient to characterize the complex climatic patterns. Drought hazard is greatest in the eastern and southwestern parts of the study area. Great spatial variation in drought hazard is observed in a small area on the high islands of Western Samoa, where the range of values found within a few tens of kilometers is about the same as the range found across thousands of kilometers for low islands.     

CFSR气象数据在流域水文模拟中的适用性评价——以中国秦岭山地的灞河流域为例(英文)

In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis(CFSR) data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data(conventional weather data and CFSR weather data) were considered to establish a Soil and Water Assessment Tool(SWAT) model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency(NSE), and Percent Bias(PBIAS). A CFSR weather data correction method was proposed. The main results were as follows.(1) The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin(R~2 of the simulated results above 0.50, NSE above 0.33, and |PBIAS| below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction.(2) The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years.(3) The relation between the CFSR rainfall data(x) and the observed rainfall data(y) could berepresented by a power exponent equation: y=1.4789x0.8875(R2=0.98,P0.001). There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data.     

降雨的空间不均性对模拟产流量和产沙量不确定的影响

在传统的水文/水质模型中,降雨被认为是在空间上均匀分布并且对模型输出的不确定性不产生影响。本文的目的是评价由于降雨的空间分布不均匀性对模型输出-产流量和产沙量-不确定性的影响。本文选取卢氏流域为研究区域,使用SWAT模型和流域内24个雨量站的降雨作为模型的输入。基于降雨空间分布均匀的假定下,每次用一个雨量站的点雨量来作为流域的面平均降雨量,模拟的产流量和产沙量的不确定性来自于降水的不均匀性。模拟的产流量和产沙量的不确定性大于降雨的不确定性,结果表明,在运用水文/水质模型时,为了准确的模拟、预测产流量和产沙量必须掌握降雨的空间分布特性并将其应用于水文、水质模拟之中。     

新疆博州地区降水时空分布特征及典型旱涝年

利用新疆博尔塔拉蒙古自治州地区4个气象站1971—2000年的逐日降水资料,用静态统计论观点分析了博州地区降水时空变化特征,并按适应于西北地区的Z指数旱涝标准统计出了典型的旱涝年。结果表明：①博州地区降水量西多东少,海拔在1 200 m以上的地区为半干旱区,其余绝大多数地区为干旱区或重干旱区,多极端降水事件,自然灾害以旱灾为主洪灾其次,自然生态环境极其脆弱;②年（月）降水量以少于30 a的年（月）平均值为多;③12月至次年2月降水量极小,空间分布呈东多西少型,其他月份则反之;④多雨期出现在夏半年4—9月。其中5—7月大面积干旱与局地洪灾往往并存;⑤山区有两个雨季共5个旬次,平均降水量的月际分布为双峰型,主峰在7月,次峰在5月;其他地区仅1个雨季共两个旬次,平均降水量的月际分布为单峰型,峰值出现在5月;⑥同一气候背景中,博州各个地貌单元的旱涝程度不一,降水空间分布极其复杂。     

DISCONTINUITIES IN PRECIPITATION SERIES IN THE WEST AFRICAN SAHEL

Sequential application of the single shift Normal Homogeneity Test (NHT) to the time series of Sahel rainfall revealed three clusters of discontinuities or breakpoints separating climatically stationary periods: 1933–1944, 1955–1974, and 1980–1989. At least one breakpoint was detected in 33 of the 55 series analyzed, while two breakpoints occurred in 12. The breakpoints of 1933–1944 marked the termination of spatially localized droughts in western Burkina Faso and southern Mali. Generally speaking, the Sahel drought that began in the late 1960s, persisted into 1998. However, abrupt positive shifts that occurred during the late 1980s restored mean annual rainfall to pre-drought levels at isolated locations. The stationarity of the periods between breakpoints suggests that the abrupt shifts are the dominant source of inhomogeneity in Sahel rainfall. Unlike the widely used climatic normal periods (CNPs), stationary periods are suitable for calculating various empirical indices for application in agriculture and rural water-resources planning in the area. The large number of breakpoints detected at different time periods suggests that Sahel rainfall series are prone to sudden transitions between quasi-stable climatic regimes; much like the onset, drought may terminate abruptly through a sudden shift in the mean annual rainfall. [Key words: Sahel, West Africa, drought, rainfall.]     

2007-2016年四川省土壤干旱时空动态分析

四川作为农业大省,旱灾是导致农业减产最主要的因素。通过遥感和GIS手段进行四川省土壤干旱程度的时空分析,提高干旱的空间可视化程度,加强干旱监测的时效性尤为重要。本研究基于四川省2007—2016年逐季度的MODIS数据和1961—2011年40个气象站的月降水资料,采用温度植被干旱指数(TVDI)计算得到四川省干旱等级分布情况,辅以标准化降雨指数(SPI)进行相关性分析,并通过线性回归、反距离权重空间插值、GIS空间分析模型重建等方法,分析近十年来四川省地区以季度为时间尺度的土壤干旱时空变化特征,制作各时相土壤干旱分布图展示其微变化。结果表明:(1)在月时间尺度上,SPI-1与TVDI呈中等至强负相关关系,即TVDI值越小,SPI值越大,干旱程度越轻;验证结果表明TVDI都能够较好地对四川省的干旱空间分布状况进行反映。(2)四川省各区域、各季节干旱分布不均:空间上,干旱频发的区域集中在四川盆地及攀西南部区域。时间上,在春季,四川盆地区域的土壤干旱程度大致呈现加剧—持续—减缓的趋势;夏季,四川盆地的干旱变化趋势是加剧—减缓—加剧;秋季,四川盆地的干旱变化趋势是加剧—减缓—持续减缓;冬季,全川干旱程度变化不明显。本文的研究结果对四川省开展农业防灾减灾,引导农业灌溉具有指导意义。     

Modeling tropical river runoff: A time dependent approach

Forecasting of rainfall and subsequent river runoff is important for many operational problems and applications related to hydrology. Modeling river runoff often requires rigorous mathematical analysis of vast historical data to arrive at reasonable conclusions. In this paper we have applied the stochastic method to characterize and predict river runoffofthe perennial Kulfo River in southem Ethiopia. The time series analysis based auto regressive integrated moving average （ARIMA） approach is applied to mean monthly runoff data with 10 and 20 years spans. The varying length of the input runoff data is shown to influence the forecasting efficiency of the stochastic process. Preprocessing of the runoff time series data indicated that the data do not follow a seasonal pattern. Our forecasts were made using parsimonious non seasonal ARIMA models and the results were compared to actual 10-year and 20-year mean monthly runoff data of the Kulfo River. Our results indicate that river runoff forecasts based upon the 10-year data are more accurate and efficient than the model based on the 20-year time series.     

A ca. 800-Year Lithologic Record of Drought from Sub-annually Laminated Lake Sediment, East Java

Lithostratigraphic analyses of a sub-annually laminated core from Ranu Lamongan, a maar lake on the island of Java, document considerable changes in the lake’s chemistry and water balance over the past ca. 800 calendar years. Composition of the dark (clastics) and light (diatoms and/or calcium carbonate minerals) couplets suggests that these laminations form in response to seasonal changes in rainfall and water-column overturn in the lake. Calcium carbonate is not continuous in the core, and when it occurs it varies, sometimes abruptly, in carbonate phase and elemental composition (low Mg-calcite Mg-calcite, and aragonite). A significant correlation between Mg/Ca changes and δ¹⁸O variations in authigenic calcium carbonate suggest the basin is highly sensitive to hydrologic variation. Lithologic data suggest calcium carbonate precipitates and thus records hydrologic conditions during the dry season – a season in which rainfall anomalies are highly correlated with the phase of ENSO. Our carbonate-based record of Mg/Ca shows variability in evaporative concentration on a quasi-seasonal frequency for the past ca. 800 years. Our record shows two multi-decadal periods of drought – ca. 1275–1325 and ca. 1450–1650 CE – the latter of which was especially strong and/or prolonged. Our record also shows a possible change in drought frequency at around 1650 CE, in which periods of calcium carbonate precipitation and Mg/Ca change shifted from multi-decadal to interannual variability. Given the strong correlations between modern-day drought in East Java and ENSO variability, our drought record may indicate a regime shift in the behavior of the ENSO system about 350 years ago. Finally, comparisons between our record and others suggest that variation in ENSO on centennial and sub-centennial scales is not strongly associated with changes in the global mean climate state.     

2001−2018年西北地区植被变化对气象干旱的响应

基于2001?2018年逐月的MODIS NDVI数据,以归一化植被指数（Normalized Difference Vegetation Index, NDVI）和植被状态指数（Vegetation Condition Index, VCI）作为植被生长状况指标,结合2001?2018年的月降水和月均温数据计算的标准化降水蒸散指数值,分析西北地区植被状况和气象干旱指数的变化趋势及其空间分布特征,以及多时间尺度下植被对气象干旱的响应。结果表明：2001?2018年西北地区植被的生长状况整体呈好转趋势,但空间分布上差异明显,东部植被改善状况高于中西部地区。近18 a西北地区5种不同时间尺度标准化降水蒸散指数（Standardized Precipitation Evapotranspiration Index,SPEI）均值整体上均呈增加趋势,表明干旱程度降低;空间上,干旱化趋势整体上表现为中西部高,东部低。植被生长状况在大部分区域均与SPEI呈现不同程度的正相关,总体表现为,西北地区东部植被对气象干旱的响应程度最高,西部次之,中部最低;不同植被类型中,草地对SPEI-12的响应最强,耕地次之,而林地的响应最弱;各植被类型在生长季的多数月份中对SPEI-3和SPEI-12的响应普遍较高。     

Vegetation greenness modeling in response to climate change for Northeast Thailand

In Northeast Thailand, the climate change has resulted in erratic rainfall and tem- perature patterns. The region has experienced both periods of drought and seasonal floods with the increasing severity. This study investigated the seasonal variation of vegetation greenness based on the Normalized Difference Vegetation Index （NDVI） in major land cover types in the region. An assessment of the relationship between climate patterns and vegeta- tion conditions observed from NDVI was made. NDVI data were collected from year 2001 to 2009 using multi-temporal Terra MODIS Vegetation Indices Product （MOD13Q1）. NDVI pro- files were developed to measure vegetation dynamics and variation according to land cover types. Meteorological information, i.e. rainfall and temperature, for a 30 year time span from 1980 to 2009 was analyzed for their patterns. Furthermore, the data taken from the period of 2001-2009, were digitally encoded into GIS database and the spatial patterns of monthly rainfall and temperature maps were generated based on kriging technique. The results showed a decreasing trend in NDVI values for both deciduous and evergreen forests. The highest productivity and biomass were observed in dry evergreen forests and the lowest in paddy fields. Temperature was found to be increasing slightly from 1980 to 2009 while no significant trends in rainfall amounts were observed. In dry evergreen forest, NDVI was not correlated with rainfall but was significant negatively correlated with temperature. These re- sults indicated that the overall productivity in dry evergreen forest was affected by increasing temperatures. A vegetation greenness model was developed from correlations between NDVI and meteorological data using linear regression. The model could be used to observe the change in vegetation greenness and dynamics affected by temperature and rainfall.     

Wavelet analysis of the hydrological time series of Dalai Lake, Inner Mongolia, China

An important new development in hydrological data analysis in the last decade is the application of wavelet analysis. Here, wavelet theory is used to study the complexity and multi-scale periodicity of the hydrological time series of the Dalai Lake Basin in Inner Mongolia. Two large rivers, the Kelulun and the Wurxun, are the main inflows to Dalai Lake, which is currently shrinking. The annual and monthly flows of the Kelulun River are shown to vary more than those of the Wurxun River, and the monthly flows of the two rivers vary much more than their annual flows. Db5 wavelets are shown to be more suitable for annual flow calculations, whereas Db4 wavelets are more suitable for monthly flow calculations. Multi-scale wavelet analysis of the annual and monthly flows of the Kelulun and Wurxun rivers shows that the variation of the two rivers is similar and has a 25-year cycle, 12 years of wet and 12 years of drought periods, and our results show that both rivers are expected to transition into a wet period beginning in 2012. Therefore, the Dalai Lake Basin, which has been in a drought period since 2000, is expected to gradually transit into a wet period from 2012 onward.     

Evaluation of the applicability of climate forecast system reanalysis weather data for hydrologic simulation: A case study in the Bahe River Basin of the Qinling Mountains,China

In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis (CFSR) data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data (conventional weather data and CFSR weather data) were considered to establish a Soil and Water Assessment Tool (SWAT) model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency (NSE), and Percent Bias (PBIAS). A CFSR weather data correction method was proposed. The main results were as follows. (1) The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin (R ² of the simulated results above 0.50, NSE above 0.33, and |PBIAS| below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction. (2) The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years. (3) The relation between the CFSR rainfall data (x) and the observed rainfall data (y) could be represented by a power exponent equation: y=1.4789x ^0.8875 (R ²=0.98, P<0.001). There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data.     

基于Meta-Gaussian模型的中国农业干旱预测研究

在全球气候变化背景下,干旱愈加频发,有效且可靠的农业干旱预测对于保障粮食安全和水资源安全具有重要意义。以标准化降水指数（SPI）和联合标准化土壤湿度指数（JSSI）分别表征气象干旱和农业干旱,以前期的气象干旱和农业干旱指数作为预测因子,在1~3个月预见期下基于Meta-Gaussian（MG）模型对中国1961—2015年6—8月的农业干旱进行预测,并采用Brier Skill Score（BSS）和纳什效率系数（NSE）评价MG模型的预测性能。结果表明：① 将1个月、3个月、6个月、9个月和12个月时间尺度的标准化土壤湿度指数（SSI）结合起来得到的JSSI能够对中国农业干旱的综合状况进行客观评价。② 以中国2010年和2014年遭受严重的干旱事件为例,预见期为1~3个月时,除新疆南部、青海西部以及内蒙古西部等沙漠地区外,MG模型对6—8月农业干旱预测结果的分布范围与实际干旱的分布区域较吻合,预见期越短,吻合越好。③ 预见期为1个月时,6—8月BSS ≥ 0.5的面积比例分别为0.714、0.642和0.640,NSE ≥ 0.5的面积比例分别为0.903、0.829和0.837,表明MG模型能够对中国大部分区域的农业干旱作出可靠的预测。本文结果可为中国农业干旱的监测、预警及干旱决策提供科学指导。     

Trends and Spatial Patterns of Drought Incidence in the Omo‐Ghibe River Basin,Ethiopia

The objective of this paper is to evaluate trends and spatial patterns of drought incidence across the Omo‐Ghibe River Basin using monthly rainfall data from eight stations for the period 1972–2007. It also aims to estimate the probability of drought episodes for a 100‐year period. Drought indices were generated using the Standard Precipitation Index (SPI) computed at 3‐, 6‐, 12‐ and 24‐month time‐steps for three intensity classes: moderate, severe and extreme drought events. The Mann–Kendall's trend test and Sen's slope estimator were employed to detect temporal changes. The results show complex spatial patterns on the frequency and magnitude of drought events across the study area for all timescales and intensity classes. However, the total number of drought events for the three intensity classes for all timescales were larger in the southern lowlands, where there exists a serious water scarcity for the rain‐fed pastoral system, than in the northeastern part (around Wolaita Sodo area). In contrast to this, the longest and most extreme (SPI < ?4.0) drought events for all timescales were observed at Wolaita Sodo station. In a 100‐year period one could expect 57–69 drought events with 3 months' duration, 19–34 events with 6 months' duration, 9–16 events with 12 months' duration and 5–9 events with 24 months' duration. The SPI values show negative rainfall anomalies in the 1980s while positive anomalies have occurred in the 1990s and 2000s, which implies tendency towards decreasing drought events. The Mann–Kendall's trend test for the 12‐ and 24‐month timescales and for seasonal events also confirms this general trend.     

Landslide triggering scenarios in homogeneous geological contexts: The area surrounding Acri (Calabria, Italy)

The paper describes a methodology to detect landslide triggering scenarios in geological homogeneous areas and for some specific landslide categories. In these scenarios, the rainfall–landslide relationship as well as the pluviometric load conditions influencing slope instability have to be investigated.The methodology is applied to an area located in northern Calabria (Italy) and affected by widespread and different slope instability phenomena. Outcropped, fractured, and deeply weathered crystalline rock masses, determining geologic homogeneous conditions, are present. In the same area, suitable and homogeneous climatic features have also been found.According to the methodology adopted, the hydrologic analysis of rainfall time-series is initially carried out notwithstanding historical data concerning landslide mobilization, but using simple models to determine critical pluviometric scenarios for the three landslide categories: shallow, medium-deep, and deep. Landslide-triggering scenarios individualized according to this procedure are less significant as compared to the landslide mobilization detected in the study area by means of historical research and ascribed to the three landslide categories according to geomorphologic analysis.Subsequently, the possible landslide triggering scenarios are outlined by carefully investigating the hydrologic analysis limited to the periods identified according to the historical data.In the study area and approximately for all the areas characterized by the outcrop of fractured and deeply weathered crystalline rocks, significant triggering scenarios can be outlined. In particular, shallow landslide triggers could be activated by rainfall events with intensities exceeding 90 mm/day and/or with amounts exceeding 160 mm. As for medium-deep and deep landslides, triggering mechanisms are more complicated; and effective rainfall contribution must be taken into account compared to groundwater storage. Moreover, a more complex link between deep landslides and precipitation is confirmed.The results obtained to date highlight the potential of this methodology, which enables us to define and progressively improve the knowledge framework by means of a work sequence integrating different disciplinary tools and results.     

Regional inequality and polarization in the context of concurrent extreme weather and economic shocks

This study examines how extreme weather influences regional inequality and polarization within Mozambique in the context of on-going economic shocks. Utilizing satellite-based estimates of rainfall spatially analyzed within a GIS, we establish a 16-year rainfall climatology and calculate monthly rainfall anomalies for 665 villages. We approximate storm-total rainfall from all tropical cyclones entering the Mozambique Channel, as well as the extent of damaging winds for those making landfall, between 2005 and 2008. We group villages according to tropical cyclone impacts and use hierarchical cluster analysis to group the remaining villages according to shared patterns of monthly rainfall anomalies. Using economic data from the 2005 and 2008 National Agricultural Surveys of Mozambique, we relate weather patterns associated with near normal rainfall, tropical cyclones, flooding, and drought to changes in inequality and polarization by conducting decomposition analyses of the Gini index and Duclos-Esteban-Ray (DER) polarization index. Our findings mainly correspond to the generally accepted view that weather shocks exacerbate existing income and power disparities within societies. However, in some cases we find evidence that inequality and polarization can decline in the aftermath of an extreme event, and increase even where the weather is relatively good. By identifying varying effects of extreme events on inequality and polarization at subnational level, our study enables a more detailed understanding of weather-related effects on socio-economic outcomes in rural societies rapidly integrating into the global economy.     

曲靖罕见夏秋冬连旱天气分析

利用1951～2009年沾益测站的降水资料以及NCEP/NCARR的月平均气象场再分析资料分析了2009～2010年曲靖严重干旱天气成因。采用Z指数对曲靖秋冬春连旱异常年份进行划分,表明2009年是夏秋冬连旱最严重的年份。并通过分析曲靖历史上夏秋冬降水偏少年和偏多年的500 hPa高度距平场差值场来为2009年严重的连旱天气提供成因分析,认为:冷空气和偏南气流异常是造成曲靖降水正负异常的成因。2009年夏秋冬季环流与历史上旱年同期的中高纬槽脊强弱分布形势并不一致。从夏季到冬季,贝加尔湖附近位势高度经历了从偏高到异常偏低的变化,孟加拉湾到西太平洋的环流场位势高度持续性异常偏高,暖湿气流缺乏,即使北方有冷空气南下,由于云南下沉运动较常年明显偏强,冷空气也无法与水汽汇合,水汽输送少是产生持续气象干旱的关键原因。