共查询到20条相似文献，搜索用时 15 毫秒
1.
在不同季节背景下,对比分析多元变量相关的背景误差协方差特征,了解其在天气过程中的作用,可以改进同化系统性能,提高降水数值预报水平。对比分析汛期和非汛期江西及其临近区域多元变量相关的背景误差协方差特征,分别选取2019年汛期和非汛期的2次降水过程,设计2组循环同化试验,探讨多元变量相关的背景误差协方差对江西降水预报效果的影响。结果表明,相较于非汛期,汛期分析变量对风场、温度场和水汽场的贡献值整体上要更大,且汛期各个控制变量的背景场误差更为显著。多元变量试验的降水预报评估效果整体上更好,其汛期预报效果改善更显著。汛期与非汛期的多元变量试验降水预报结果更接近实况,且相对非汛期降水而言,汛期多元变量试验模拟效果更好,模拟的降水分布及强度与实况更为接近。 相似文献
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A copula-based multivariate analysis of Canadian RCM projected changes to flood characteristics for northeastern Canada 总被引：1，自引：0，他引：1
In the present work, climate change impacts on three spring (March–June) flood characteristics, i.e. peak, volume and duration, for 21 northeast Canadian basins are evaluated, based on Canadian regional climate model (CRCM) simulations. Conventional univariate frequency analysis for each flood characteristic and copula based bivariate frequency analysis for mutually correlated pairs of flood characteristics (i.e. peak–volume, peak–duration and volume–duration) are carried out. While univariate analysis is focused on return levels of selected return periods (5-, 20- and 50-year), the bivariate analysis is focused on the joint occurrence probabilities P1 and P2 of the three pairs of flood characteristics, where P1 is the probability of any one characteristic in a pair exceeding its threshold and P2 is the probability of both characteristics in a pair exceeding their respective thresholds at the same time. The performance of CRCM is assessed by comparing ERA40 (the European Centre for Medium-Range Weather Forecasts 40-year reanalysis) driven CRCM simulated flood statistics and univariate and bivariate frequency analysis results for the current 1970–1999 period with those observed at selected 16 gauging stations for the same time period. The Generalized Extreme Value distribution is selected as the marginal distribution for flood characteristics and the Clayton copula for developing bivariate distribution functions. The CRCM performs well in simulating mean, standard deviation, and 5-, 20- and 50-year return levels of flood characteristics. The joint occurrence probabilities are also simulated well by the CRCM. A five-member ensemble of the CRCM simulated streamflow for the current (1970–1999) and future (2041–2070) periods, driven by five different members of a Canadian Global Climate Model ensemble, are used in the assessment of projected changes, where future simulations correspond to A2 scenario. The results of projected changes, in general, indicate increases in the marginal values, i.e. return levels of flood characteristics, and the joint occurrence probabilities P1 and P2. It is found that the future marginal values of flood characteristics and P1 and P2 values corresponding to longer return periods will be affected more by anthropogenic climate change than those corresponding to shorter return periods but the former ones are subjected to higher uncertainties. 相似文献
3.
Probabilistic assessment of flood risks using trivariate copulas 总被引：6，自引：2，他引：4
In this paper, a copula-based methodology is presented for probabilistic assessment of flood risks and investigated the performance of trivariate copulas in modeling dependence structure of flood properties. The flood is a multi-attribute natural hazard and is characterized by mutually correlated flood properties peak flow, volume, and duration of flood hydrograph. For assessing flood risk, many studies have used bivariate analysis, but a more effective assessment can be possible considering all three mutually correlated flood properties simultaneously. This study adopts trivariate copulas for multivariate analysis of flood risks, and applied to a case study of flood flows of Delaware River basin at Port Jervis, NY, USA. On evaluation of various probability distributions for representation of flood variables, it is found that the flood peak flow and volumes can be best represented by Fréchet distribution, whereas flood duration by log-normal distribution. The joint distribution is modeled using four trivariate copulas, namely, three fully nested form of Archimedean copulas: Clayton, Gumbel–Hougaard, Frank copulas; and one elliptical copula: Student’s t copula. Based on distance-based performance measures, graphical tests, and tail-dependence measures, it is found that the Student’s t copula best representing the trivariate dependence structure of flood properties as compared to the other copulas. Similar results are found for bivariate copula modeling of flood variables pairs, where Student’s t copula performed better than the other copulas. The obtained copula-based joint distributions are used for multivariate analysis of flood risks, in terms of primary and secondary return periods. The resultant trivariate return periods are compared with univariate and bivariate return periods, and addressed the necessity of multivariate flood risk analysis. The study concludes that the trivariate copula-based methodology is a viable choice for effective risk assessment of floods. 相似文献
4.
气候变化影响下极端水文事件的多变量统计模型研究 总被引：2，自引：0，他引：2
以黄河流域太原气象站和淮河流域鲁台子水文站为研究对象,利用Copula函数构建气候要素（降水）同极端水文事件（干旱和洪水）之间的多元统计模型,分析不同降水条件下不同等级干旱和洪水的发生概率变化。结果表明,Gumbel Copula能够较好地描述太原站7月份的前期累加降水量和帕默尔干旱指数（PDSI）的相关结构。随着降水量的增加,极端干旱的发生概率逐渐减小,重旱、中旱和轻旱的发生概率则先增加后减小。Clayton Copula能够较好地描述鲁台子水文站前期累加降水量和洪峰流量之间的相关结构。当前期累加降水量大于等于某一定值时,随着年最大洪峰x的增大,发生洪峰≥x的极端洪水事件的概率逐渐减小。在同一个极端洪水发生概率下,前期累加降水量越大,洪峰流量出现大值的可能性越大。 相似文献
5.
近年来在气候变化和人类活动等因素综合影响下,大渡河流域洪水过程的时空分布特征发生了变化。本文以沙坪站为代表,分析了1937～2019年大渡河中下游历次洪水的洪峰、洪量、峰现时间等特征,利用线性回归、滑动平均、小波分解、Moving-T检验、Mann-Kendall检验和Morlet小波分析,对洪水过程的趋势、突变与周期等特征进行了全面分析。结果表明,大渡河中下游洪水洪峰与洪量时间序列均呈现显著的减小趋势,年最大洪峰出现时间有明显的前移倾向,洪峰、洪量突变时间主要集中于20世纪50～60年代,峰现时间没有明显的突变年份,5个洪水过程评价指标的第一主周期为24年左右。 相似文献
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以湖北省清江上游水布垭控制流域为例,利用分组Z-I关系并结合地面雨量站资料对雷达估算降水进行校准,计算出流域实况平均面雨量;再利用遗传算法和神经网络相结合的方法建立订正AREM预报降水的模型;最后,将订正前后的AREM预报降水输入新安江水文模型进行洪水预报试验。结果表明：订正后AREM预报降水能明显提高过程的累计降水量预报精度,平均相对误差减小幅度在60%以上,对逐小时过程降水预报精度也有一定提高,但与实况相比仍有一定差距;订正前后AREM预报降水的洪水预报试验的确定性系数的场次平均从-32.6%提高到64.38%,洪峰相对误差从39%减小到25.04%,确定性系数的提高效果优于洪峰相对误差,整体上洪水预报精度有所提高。 相似文献
7.
Considered is the possibility of using copula theory for creating joint probability distributions of springflood peak discharges and flow volumes taking account of the relations between discharges and flow volumes. For approximation of marginal distributions, Gumbel distribution was used for peak discharges, and two-parameter gamma distribution, for flow volumes. Joint two-dimensional distribution was built as a marginal distribution function which was set as one of the three one-parameter Archimedean copulas using different ways of determining their parameters. The best results were obtained for Gumbel-Hougaard copula using the method of maximum likelihood to determine its parameters. Major flood risk estimates determined from one- and two-dimensional probability distributions of their characteristics were compared with each other. Demonstrated are the benefits of using two-dimensional probability distributions of flood characteristics as compared with one-dimensional distributions for probabilistic estimation of floods. The data on springflood peak discharges and flow volumes in the Belaya and Vyatka rivers were used for this study. 相似文献
8.
This paper estimates changes in thepotential damage of flood events caused by increasesof CO2 concentration in the atmosphere. It ispresented in two parts: 1. the modelling of floodfrequency and magnitude under global warming andassociated rainfall intensities and 2. the use ofgreenhouse flood data to assess changes in thevulnerability of flood prone urban areas, expressingthese in terms of direct losses.Three case studies were selected: theHawkesbury–Nepean corridor, the Queanbeyan and UpperParramatta Rivers. All three catchments are located insoutheastern Australia, near Sydney and Canberra.These were chosen because each had detailed buildingdata bases available and the localities are situatedon rivers that vary in catchment size andcharacteristics. All fall within a region that willexperience similar climate change under the availablegreenhouse scenarios. The GCMs' slab model scenariosof climate change in 2030 and 2070 will cause onlyminor changes to urban flood damage but the doubleCO2 scenarios estimated using the StochasticWeather Generator technique will lead to significantincreases in building damage.For all the case studies, the hydrological modellingindicates that there will be increases in themagnitude and frequency of flood events under thedouble CO2 conditions although these vary fromplace to place. However, the overall pattern of changeis that for the Upper Parramatta River the 1 in 100-year flood under currentconditions becomes the 1 in44-year event, the 1 in 35-year flood for theHawkesbury–Nepean and the 1 in 10 for Queanbeyan andCanberra. This indicates the importance of usingrainfall-runoff modelling in order to estimate changesin flood frequencies in catchments with differentphysical characteristics. 相似文献
9.
黑河上游环境要素场对降雨汇流过程的响应 总被引：6，自引：4，他引：2
运用包含土壤、植被陆面过程OSULSM的中尺度大气模式MM5,将分布式水文模式DHS—VM中汇流参数化方案与其耦合,成功地模拟了：?002午?月黑河流域上游的洪水事件,在大气模式中实现了地表水的再分布。综合考虑了陆地水文状况与气候之间的相互影响,分析了地表特征场以及大气要素场随汇流过程的变化。 相似文献
10.
陕西关中及周边地区近500a来初夏旱涝事件初步分析 总被引：4，自引：0，他引：4
基于华山树轮宽度差值年表重建的陕西关中及周边地区近500a来的初夏干燥指数序列,对该地区初夏极端旱涝事件及其连续旱涝变化特征进行了初步分析.区域干燥指数与Palmer指数在变化上极为相似,可用于反映该地区的旱涝变化.结果表明:该地区近500a来初夏共发生18次极端干旱事件和11次极端洪涝事件,除公元1521年与历史文献记录的旱涝事件相反,公元1513年、1574年、1675年和1945年未发现历史记录外,其余年份均能找到相应记录;近500a来初夏存在9个显著的连续偏旱期和10个显著的连续偏涝期,并以16和19世纪发生的连续旱涝事件最为频繁,而17和18世纪发生的旱涝事件相对较少,20世纪发生的干旱事件明显多于洪涝事件. 相似文献
11.
The Response of Anomalous Vertically Integrated Moisture Flux Patterns Related to Drought and Flood in Southern China to Sea Surface Temperature Anomaly 
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下载免费PDF全文 With the extreme drought (flood) event in southern China from July to August in 2022 (1999) as the research object, based on the comprehensive diagnosis and composite analysis on the anomalous drought and flood years from July to August in 1961-2022, it is found that there are significant differences in the characteristics of the vertically integrated moisture flux (VIMF) anomaly circulation pattern and the VIMF convergence (VIMFC) anomaly in southern China in drought and flood years, and the VIMFC, a physical quantity, can be regarded as an indicative physical factor for the "strong signal" of drought and flood in southern China. Specifically, in drought years, the VIMF anomaly in southern China is an anticyclonic circulation pattern and the divergence characteristics of the VIMFC are prominent, while those are opposite in flood years. Based on the SST anomaly in the typical draught year of 2022 in southern China and the SST deviation distribution characteristics of abnormal draught and flood years from 1961 to 2022, five SST high impact areas (i.e., the North Pacific Ocean, Northwest Pacific Ocean, Southwest Pacific Ocean, Indian Ocean, and East Pacific Ocean) are selected via the correlation analysis of VIMFC and the global SST in the preceding months (May and June) and in the study period (July and August) in 1961-2022, and their contributions to drought and flood in southern China are quantified. Our study reveals not only the persistent anomalous variation of SST in the Pacific and the Indian Ocean but also its impact on the pattern of moisture transport. Furthermore, it can be discovered from the positive and negative phase fitting of SST that the SST composite flow field in high impact areas can exhibit two types of anomalous moisture transport structures that are opposite to each other, namely an anticyclonic (cyclonic) circulation pattern anomaly in southern China and the coastal areas of east China. These two types of opposite anomalous moisture transport structures can not only drive the formation of drought (flood) in southern China but also exert its influence on the persistent development of the extreme weather. 相似文献
12.
基于空间分辨率90 m×90 m的湖北荆门漳河水库数字高程模型（DEM）地形数据,并从2012-2015年选取了20场洪水过程（其中16场用于模拟,4场用于检验）,将华中区域数值天气预报业务模式WRF提供的三重嵌套空间分辨率3 km×3 km、9 km×9 km和27 km×27 km预报降雨与集总式新安江模型以及半分布式水文模型Topmodel耦合进行洪水预报试验。通过对比试验得到以下结论：当流域降雨的时、空分布比较均匀时,集总式新安江模型可以较准确地预报出洪峰流量和峰现时间,而当降雨时、空分布差异较大时,预报误差也会随之增大。基于DEM数据建立的Topmodel模型可以反映不同降雨时、空分布下洪水预报结果的差异,试验结果表明,3 km×3 km和9 km×9 km洪水预报的输出结果比较接近,且在确定性系数和洪峰相对误差上要优于27 km×27 km的洪水预报结果,而在峰现时差的预报上,则是27 km×27 km的洪水预报结果与实测较吻合。通过研究还发现,虽然当流域降雨的时、空分布存在一定差异时,3种空间分辨率的WRF预报降雨均无法预报出与实测一致的降雨分布,但是在某些情况下,当降雨的时间分布误差和空间分布误差相抵消时,仍然可以得到较为准确的洪水预报结果。因此,高时、空分辨率的模式预报降雨并不一定就能对洪水预报结果产生正贡献,需要通过反复尝试寻找水文模型和数值模式耦合的最佳时、空分辨率。 相似文献
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利用1959-2008年西江流域气象测站降水资料、西江干流及其支流年最高水位资料,建立逐年洪涝发生站次序列,并分析其时空特征和演变规律。结果表明：西江干流发生洪涝的频率比各支流大,各支流的中下游发生洪涝频率比上游大;西江流域洪涝的发生站次具有较显著的阶段性和突变性特征,主要突变发生在1967年和1993年;近16 a洪涝发生频率显著偏多,流域性大洪涝基本集中在这一时期。了解西江流域洪涝变化的规律,有利于提高洪涝灾害评估和预测水平,为防灾减灾提供科学依据。 相似文献
15.
Summary This study presents a discussion of a method for automated and quasi-online analysis of coherent structures using wavelet transform. The method is optimised for rapid processing of vector and scalar variables obtained over tall vegetation. It has been designed to assess long-term statistics of coherent structures, as it is applicable over a wide range of atmospheric conditions. Data of artificial and real turbulent signals are used to perform the analysis and to evaluate the presented method.Different wavelet functions are used for filtering the original signals, determining characteristic time scales, and detecting individual coherent structures. On this basis, statistics of temporal separation of coherent structures and phase shift between different variables can be calculated.Background turbulence and spikes are found to be efficiently removed without changing the shape, particularly the sharp localised gradients, of coherent structures. The determined peak in the calculated wavelet variance spectrum is observed to correspond very well to characteristic event durations and to satisfy the definition of coherent structures present in vector and scalar variables. The detection algorithm was successful in analysing data covering a wide range of atmospheric conditions. Detected individual coherent structures provide a parallel temporal pattern for scalar variables, but a phase shift between scalar and vector components. 相似文献
16.
梅雨锋结构的数值模拟 总被引：5，自引：3，他引：5
利用1999年6月下旬持续性梅雨锋降水过程的全程四维同化模拟结果,深入分析梅雨锋结构的时空不均匀变化特征及其与低涡降水强度的密切关系。结果表明,梅雨锋呈现明显的中层锋和边界层锋两段锋的特征,中层梅雨锋区对降水的影响比边界层锋更为关键,中层锋的加强、锋坡增大趋于垂直、锋区垂直环流的加强和与高空急流锋区的上下贯通,有利于梅雨锋降水的加强,强降水并不出现于中层锋区最强的时段,而是发生于大范围锋区强度达峰值之后约16—24 h。中低层总变形加强与梅雨锋的加强有密切关系。组成低空急流的中低层u,v分量呈现不同的分布和演变特征,强南风中心位于900—800 hPa,呈明显的低空急流状特征,贴近暴雨区还可能出现较小尺度的急流;而强西风中心出现于中层锋前700—500 hPa,表现为高空强西风区沿锋区上界的向下延伸;低空南风急流通常与总变形同时加强。强锋段的锋前饱和高湿高能气柱、锋前中低层急流状南风区和中层西风均匀大值区等要素场呈现高度组织化的特征。梅雨锋的低层特性,如辐合、锋区强度、总变形和南风分量及降水强度等要素呈现显著的中尺度扰动特征,有明显的日变化且受长江中下游中尺度地形影响,扰动特征有随时间上传的趋势。 相似文献
17.
1999年6月下旬长江中下游梅雨锋低涡扰动的结构研究 总被引：28，自引：12，他引：28
1999年6月下旬在长江中下游发生长达10天之久的连续性暴雨,作者对其进行了全程中尺度四维同化数值模拟,利用时空高分辨的模式输出,对梅雨锋上与强降水密切相关的5个低涡的活动特点和四维结构进行了综合分析:识别和追踪每个低涡的活动路径,分析其主要特征的垂直结构、水平分布和时间演变,并通过轨迹和气块物理属性个别变化的计算,揭示构成低涡的三股气流,分析低涡区水汽及冷空气来源和湿斜压锋区的形成. 相似文献
18.
利用四川省雅安市1951~2008年逐日降水资料和1969~2000年逐小时降水资料,统计分析了青藏高原东侧雅安地区4个典型旱年和4个典型涝年的降水量、降水频率的多时间尺度变化特征。结果表明,雅安旱年的平均年降水量为1242.9mm,涝年的平均年降水量比旱年多1010mm。旱年汛期降水量占旱年降水总量的70.4%,涝年汛期降水量超出旱年一倍,且占涝年降水总量的81.1%。旱、涝年降水量的季节变化明显,且涝年的季节差异更加显著;雨强与降水量的季节变化相似,夏季达到最大,且旱、涝年年雨强和汛期雨强的差异很明显;旱、涝年之间的雨日差异要小的多,季节差异也不突出。旱、涝年降水量和雨日的最大值、最小值出现月份不同,旱年降水量7月最多、1月最少,而涝年降水量8月最多、12月最少。另外,旱、涝年白天、夜间的月降水量和月雨日最大值出现时间不同,并且不同降水强度,旱、涝年降水量和雨日的逐月变化也有较大差异;旱、涝年降水日变化与夜雨特征都突出,但夜间降水量和频次远远大于白天。旱、涝年降水量和频次的最大值、最小值出现时间有差异,旱年最大小时降水量在01时,最小在14时。涝年夜间小时降水量为双峰结构,最大小时降水量在23时,另一最大值在03时,最小在16时。旱年和涝年最大小时降水频次均出现在00时,最小分别出现在14时和15时。并且,降水量和频次从谷值到峰值的增加速率超过了从峰值到谷值的衰减速率;进一步分析发现,随着降水强度的增加,其夜间降水量越容易出现多峰值的波动,且旱、涝年夜间降水量和频次的差值也越明显。其中,旱年中雨和大雨降水量和频次高于涝年,但涝年暴雨降水量和频次远高于旱年。 相似文献
19.
集合数值预报方法在山洪预报中的初步应用 总被引：3，自引：9，他引：3
选取湖南4个典型山洪个例,分析了嵌套模式不同分辨率的预报效果,并采用多物理过程组合的集合预报方法,研究区域集合数值预报技术在山洪预报中的应用。研究指出,单一模式条件下,使用模式嵌套技术提高分辨率,并不能有效地改进对引发山洪灾害的突发强降水过程的预报能力,且这种单一的确定性预报,对暴雨等灾害性天气的预报存在不确定性。集合预报是解决单一预报不确定性提出的新方法,与单一模式提供的确定性预报结果相比,集合预报可为山洪预报提供多种定量预报产品。利用集合平均预报、极值预报,可以引导对山洪采取分类应对措施;集合预报在给出降水分布的同时,还给出伴随预报结果的可信度;概率定量降水预报(PQPF)与水文预报模型结合,可以用于概率水文预报。 相似文献
20.
Impact of 4DVAR assimilation of rainfall data on the simulation of mesoscale precipitation systems in a mei-yu heavy rainfall event 总被引：1，自引：0，他引：1
The multi-scale weather systems associated with a mei-yu front and the corresponding heavy precipitation during a particular heavy rainfall event that occurred on 4 5 July 2003 in east China were successfully simulated through rainfall assimilation using the PSU/NCAR non-hydrostatic, mesoscale, numerical model （MM5） and its four-dimensional, variational, data assimilation （4DVAR） system. For this case, the improvement of the process via the 4DVAR rainfall assimilation into the simulation of mesoscale precipitation systems is investigated. With the rainfall assimilation, the convection is triggered at the right location and time, and the evolution and spatial distribution of the mesoscale convective systems （MCSs） are also more correctly simulated. Through the interactions between MCSs and the weather systems at different scales, including the low-level jet and mei-yu front, the simulation of the entire mei-yu weather system is significantly improved, both during the data assimilation window and the subsequent 12-h period. The results suggest that the rainfall assimilation first provides positive impact at the convective scale and the influences are then propagated upscale to the meso- and sub-synoptic scales.
Through a set of sensitive experiments designed to evaluate the impact of different initial variables on the simulation of mei-yu heavy rainfall, it was found that the moisture field and meridional wind had the strongest effect during the convection initialization stage, however, after the convection was fully triggered, all of the variables at the initial condition seemed to have comparable importance. 相似文献
Through a set of sensitive experiments designed to evaluate the impact of different initial variables on the simulation of mei-yu heavy rainfall, it was found that the moisture field and meridional wind had the strongest effect during the convection initialization stage, however, after the convection was fully triggered, all of the variables at the initial condition seemed to have comparable importance. 相似文献