用动态时间序列周期分析预测模型作郑州汛期降水预报

动态时间序列周期分析预测模型是将多层递阶方法与逐步回归周期分析的基本原理相结合,可以有效地选取时间序列的各个隐含周期。利用所选取的隐含周期,可作更长时间的预测。本文以郑州汛期降水为样本,对该预测模型进行了应用及讨论。     

Assessing desertification

It is widely recognized that desertification is a serious threat to arid and semiarid environments—which cover 40% of the global land surface and are populated by approximately 1 billion humans. Given the potential relevance of this problem, it is surprising that there is no consensus on the proper way to assess the desertification status of a piece of land. During the last 70 years, conflicting definitions have produced both different assessment methodologies and divergent estimates. Contrary to conceptual issues on desertification, assessment methodologies have not been reviewed comprehensively. Here, we critically review the most common methodologies to assess desertification, and describe their principal consequences on scientific and social arenas.We show that desertification assessment has shifted from simple appraisals of the interannual movement of desert boundaries to complex multivariate field surveys, to practical methodologies based on indicators of ecosystem functioning, such as rain use efficiency. Although often regarded as an evidence of stagnation and failure, these methodologies reflect the progress that desertification ecology has experienced. Future challenges for properly assessing desertification are (1) the lack of reference situations against which actual desertification could be compared, and (2) the difficulties that appear when desertification operates through structural rather than functional ecosystem changes.The coexistence of conflicting definitions and divergent estimates negatively affects societal perception, leading to scepticism and, ultimately, to a delay of eventual solutions. Societies must recognize the progress desertification ecology has made, leave behind concepts that no longer represent current knowledge, grasp the opportunity to better assess the extent and intensity of the problem, and, for the time being, realize that assessing desertification is an unsolved issue.     

Holocene variations in the Asian monsoon inferred from the geochemistry of lake sediments in central Tibet

We present a record of monsoon variations for the early and middle Holocene that is inferred from the geochemistry of sediment cores from Ahung Co, a lake in central Tibet. The resolution of this record is better than 50 yr and the age model is derived from radiocarbon ages of terrestrial charcoal, which eliminates errors associated with the lake hard-water effect. We made down-core geochemical measurements of % carbonate, % organic carbon, C/N and δ¹³C of bulk organic matter, δ¹³C and δ¹⁸O of carbonate, and % dolomite. Proxy calibration and modern water-balance reconstruction show that these are proxies for lake depth and the amount of monsoon precipitation. We find that lake level and monsoon precipitation have been decreasing at Ahung Co since the early Holocene (∼7500 cal yr B.P.). Superimposed on this trend are rapid declines in monsoon rainfall at 7000-7500 and 4700 cal yr B.P. and seven century-scale wet-dry oscillations. The cores do not contain sediment from the last ∼4000 yr. Surface sediments from the lake accumulated during the 20th century, however. From this, we argue that lake levels have risen again recently following a late Holocene dry period.     

上海区域数值预报模式集合预报系统的建立与试验

以目前运行的上海区域业务数值预报模式为基础,从预报模式的不确定性出发构造8个预报成员,建立了上海区域数值预报模式集合预报系统的初步模型,并对2004年夏季进行了逐日48 h预报试验。结果表明:集合平均对华东地区城市降水、温度、海平面气压等气象要素的总体预报能力与分辨率高3倍的业务模式相当,其中对雨量较大降水、最低温度、海平面气压(0~24 h)的预报效果好于业务模式;集合预报还能提供客观化、定量化的降水概率预报,对降水的发生、尤其是特大降水的发生有着很好的提示作用。     

台风降水云区中单站强降水诊断分析和预报

实际工作表明,在台风降水云区中,有的站点有大暴雨、有的站点无大暴雨发生。这给单站预报带来较大难度。为了提高降水云区中单站大暴雨预报准确率,本文利用T213客观分析场和预报产品,采用多种物理量综合诊断分析方法,对登陆台风“云娜”在西进途中多站点进行水汽来源、不稳定层结的维持以及次生中尺度辐合等方面的研究,探讨单站大暴雨发生、发展机制和不发生大暴雨的成因。结果表明:单站有大暴雨发生的主要成因是有次级环流出现,如:站点上空∑θse(5 7 8)≥230℃。站点200 hPa为明显的负温度平流,850 hPa为明显的正温度平流。站点高低层均为正涡度中心,且低层的正值大于高层的正值。高低层散度都为负值中心;或高层为正值中心、低层为负值中心。站点垂直运动中心速度值要达-140×10-3hPa/s以下。站点需要有源源不断的充足水汽的供给和辐合。台风中心西北部水汽通量大值区靠近台风中心西部干舌梯度最大处以及风向和风速辐合最大处。在台风降水云区中,当站点满足上述各要素时大暴雨易发生。     

东北地区月平均大气环流型与哈尔滨-气候关系的初步研究

利用基于英国Lamb(1950年)发展的大气环流分型方法的Jenkinson(1977年)法对东北地区1951—2002年的月平均海平面气压场(MSLP)进行环流分型。由月平均海平面气压场算出6个环流指数,并由此划分出27种环流类型,分析了其中出现频率最高的5种主要环流类型(N,NW,C,CSW,SW)在不同时间尺度下的变化规律及它们与哈尔滨月平均温度的关系,利用逐步回归方法得到了温度距平的拟合曲线。给出了各种环流类型的月平均降水量和与哈尔滨降水密切相关的C,CSW和SW 3种环流类型对应的平均海平面气压合成图。结果表明:哈尔滨冬季以N,NW型为主,夏季以C,CSW和SW型为主。出现N和NW型时气温偏低,降水偏少;而出现C,CSW和SW型时气温较高,降水偏多。用6个环流指数中的地转风V和大尺度平均温度t可以建立其与温度距平之间的一个统计模式,利用此模式,能解释哈尔滨1951—2002年温度变化方差的77.3%。C,CSW和SW 3种环流类型为哈尔滨的主要降水类型,C型与哈尔滨总降水的相关关系很好,并且近20年来哈尔滨主要以C型降水为主。这种研究大尺度大气环流与区域气候变量—温度、降水之间关系的方法是一种统计降尺度(statistical downscaling)方法,可以用于区域气候预测。     

天气雷达回波运动场估测及在降水临近预报中的应用

在常用的基于天气雷达反射率因子图像的相关方法跟踪回波运动的TREC(Tracking Radar Echo by Correla-tion)技术基础上,文中发展了一种基于差分图像(时间梯度图像)的相关方法追踪雷达回波运动(Difference Image-based Tracking Radar Echo by Correlations)技术,简称DITREC,并与TREC技术进行比较。个例分析表明,DITREC矢量场消除了TREC矢量场中由于回波型的迅速变化导致的一些无序矢量,使得DITREC矢量场的时间连续性和空间连续性好于TREC矢量场。在TREC矢量场中不存在无序矢量的地方,DITREC矢量场与TREC矢量场基本一致。分别用DITREC矢量场和700 hPa风场作为回波运动估测场外推合肥CINRAD/SA雷达反射率因子复合扫描图,得到1 h外推降水场。以地面雨量计为标准,对外推降水场进行评估,结果表明,DITREC外推小时降水优于700 hPa外推小时降水,但其精度还与所采用的Z-R关系有关。     

Quantifying climatic change through the last glacial–interglacial transition based on lake isotope palaeohydrology from central Turkey

Questions remain as to the nature of climatic change through the last glacial–interglacial transition in the eastern Mediterranean region, particularly the relative contribution of evaporation and precipitation to regional water balance. Here changes in oxygen isotope values through this time period from Eski Acıgöl, a crater lake in central Turkey, are investigated using hydrological and isotope mass balance models. These allow changes in evaporation and precipitation to be quantified and their relative importance evaluated. We show that it is the volumetric flux rate of water passing through the lake system and not the precipitation-to-evaporation ratio per se which controlled the stable isotope record in Eski Acıgöl. Early Holocene precipitation is shown to be much greater than that during both the latter part of the last glaciation and the present day. We test these calculated values against other records in the same region, firstly with other lake records in Anatolia, the Konya basin and Lake Van, and secondly with isotope-inferred palaeo-precipitation data from Soreq cave in Israel. This reveals a contrast between pre- and post-LGM precipitation values in Turkey (wetter and drier, respectively) and also suggests that during the last glacial–interglacial transition there was a more marked precipitation gradient than at present between northern/interior and southern/coastal parts of the eastern Mediterranean region.     

Flood and landslide applications of near real-time satellite rainfall products

Floods and associated landslides account for the largest number of natural disasters and affect more people than any other type of natural disaster. With the availability of satellite rainfall analyses at fine time and space resolution, it has also become possible to mitigate such hazards on a near-global basis. In this article, a framework to detect floods and landslides related to heavy rain events in near-real-time is proposed. Key components of the framework are: a fine resolution precipitation acquisition system; a comprehensive land surface database; a hydrological modeling component; and landslide and debris flow model components. A key precipitation input dataset for the integrated applications is the NASA TRMM-based multi-satellite precipitation estimates. This dataset provides near real-time precipitation at a spatial-temporal resolution of 3 h and 0.25° × 0.25°. In combination with global land surface datasets it is now possible to expand regional hazard modeling components into a global identification/monitoring system for flood/landslide disaster preparedness and mitigation.     

Trends in landslide occurrence in Nepal

Nepal is a mountainous, less developed kingdom that straddles the boundary between the Indian and Himalayan tectonic plates. In Nepal, landslides represent a major constraint on development, causing high levels of economic loss and substantial numbers of fatalities each year. There is a general consensus that the impacts of landslides in countries such as Nepal are increasing with time, but until now there has been little or no quantitative data to support this view, or to explain the causes of the increases. In this paper, a database of landslide fatalities in Nepal has been compiled and analysed for the period 1978–2005. The database suggests that there is a high level of variability in the occurrence of landslides from year to year, but that the overall trend is upward. Analyses of the trends in the data suggest that there is a cyclicity in the occurrence of landslide fatalities that strongly mirrors the cyclicity observed in the SW (summer) monsoon in South Asia. Perhaps surprisingly the relationship is inverse, but this is explained through an inverse relationship between monsoon strength and the amount of precipitation in the Hill District areas of Nepal. It is also clear that in recent years the number of fatalities has increased dramatically over and above the effects of the monsoon cycle. Three explanations are explored for this: land-use change, the effects of the ongoing civil war in Nepal, and road building. It is concluded that a major component of the generally upward trend in landslide impact probably results from the rural road-building programme, and its attendant changes to physical and natural systems.