共查询到20条相似文献，搜索用时 187 毫秒
1.
Valérie Estupina Borrell Jacques Chorda Denis Dartus 《Comptes Rendus Geoscience》2005,337(13):1109-1119
Flash-flood events resulting from paroxystic meteorological events concentrated in time and space are insufficiently documented as they produce destructive effects. They are hardly measurable and present single features that are not transposable to another event. In the South of France, the flash flood of November 1999 gives a perfect illustration of these characteristics. The physical complexity of the process and consequently the volume and the variety of the data to take into account are incompatible with the real time constraint allocated to the forecasters confronted to the occurrence of such phenomena. So, we have to make choices to afford acceptable simplifications to the complete mechanical model. MARINE (‘Modélisation de l'Anticipation du Ruissellement et des Inondations pour des évéNements Extrêmes’) is the operational and robust tool we developed for flash-flood forecasting. This model complies with the criterions of real-time simulation. It is a physically based distributed model composed of two parts: first the flood runoff process simulation in the upstream part of the basin modelled from a rainfall–runoff approach, then the flood propagation in the main rivers described by the Saint-Venant equations. It integrates remote sensed data – Digital Elevation Model, land-use map, hydrographic network for the observations from satellites and the rainfall evolution from meteorological radar. The main goal of MARINE is to supply real time pertinent information to the forecasters. Results obtained on the Orbieu River (Aude, France) show that this model is able to supply pertinent flood hydrograph with a sufficient precision for the forecasting service to take the appropriate safety decisions. Furthermore, MARINE has already been tested in the French National Flood Forecasting Service of Haute-Garonne in real conditions. To cite this article: V. Estupina Borrell et al., C. R. Geoscience 337 (2005). 相似文献
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陕西省地质灾害-气象预报预警系统研制及应用 总被引：5，自引：0，他引：5
为了提高地质灾害-气象预报预警工作的自动化程度和产品的质量,文章从计算机系统制作的角度探讨了地质灾害-气象预报预警的方法,论述了陕西省地质灾害-气象预报预警系统的运行环境、软件功能、空间数据库、模型方法等内容,并介绍了陕西省汛期地质灾害-气象预报预警的应用实例。 相似文献
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Lawal Billa Hamid Assilzadeh Shattri Mansor Ahmed R. Mahmud Abdul H. Ghazali 《Central European Journal of Geosciences》2011,3(3):309-317
Observed rainfall is used for runoff modeling in flood forecasting where possible, however in cases where the response time of the watershed is too short for flood warning activities, a deterministic quantitative precipitation forecast (QPF) can be used. This is based on a limited-area meteorological model and can provide a forecasting horizon in the order of six hours or less. This study applies the results of a previously developed QPF based on a 1D cloud model using hourly NOAA-AVHRR (Advanced Very High Resolution Radiometer) and GMS (Geostationary Meteorological Satellite) datasets. Rainfall intensity values in the range of 3–12 mm/hr were extracted from these datasets based on the relation between cloud top temperature (CTT), cloud reflectance (CTR) and cloud height (CTH) using defined thresholds. The QPF, prepared for the rainstorm event of 27 September to 8 October 2000 was tested for rainfall runoff on the Langat River Basin, Malaysia, using a suitable NAM rainfall-runoff model. The response of the basin both to the rainfall-runoff simulation using the QPF estimate and the recorded observed rainfall is compared here, based on their corresponding discharge hydrographs. The comparison of the QPF and recorded rainfall showed R2 = 0.9028 for the entire basin. The runoff hydrograph for the recorded rainfall in the Kajang sub-catchment showed R2 = 0.9263 between the observed and the simulated, while that of the QPF rainfall was R2 = 0.819. This similarity in runoff suggests there is a high level of accuracy shown in the improved QPF, and that significant improvement of flood forecasting can be achieved through ‘Nowcasting’, thus increasing the response time for flood early warnings. 相似文献
4.
R K Giri Jagabandhu Panda Sudhansu S Rath Ravindra Kumar 《Journal of Earth System Science》2016,125(4):709-723
In order to issue an accurate warning for flood, a better or appropriate quantitative forecasting of precipitation is required. In view of this, the present study intends to validate the quantitative precipitation forecast (QPF) issued during southwest monsoon season for six river catchments (basin) under the flood meteorological office, Patna region. The forecast is analysed statistically by computing various skill scores of six different precipitation ranges during the years 2011–2014. The analysis of QPF validation indicates that the multi-model ensemble (MME) based forecasting is more reliable in the precipitation ranges of 1–10 and 11–25 mm. However, the reliability decreases for higher ranges of rainfall and also for the lowest range, i.e., below 1 mm. In order to testify synoptic analogue method based MME forecasting for QPF during an extreme weather event, a case study of tropical cyclone Phailin is performed. It is realized that in case of extreme events like cyclonic storms, the MME forecasting is qualitatively useful for issue of warning for the occurrence of floods, though it may not be reliable for the QPF. However, QPF may be improved using satellite and radar products. 相似文献
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随着全球气候变化、自然变迁及陆表生境改变,极端天气频发且呈现出多尺度时空变异特征,对其进行预报和预警一直是气象水文领域关注的焦点。临近预报可较准确地预报未来短时间天气显著变化,是当前预报强降水等极端事件的主要手段。从基于天气雷达0~3 h外推临近预报、融合数值模式0~6 h临近预报的发展历程梳理了临近预报的研究进展,阐述了雷达外推算法的发展进程、雷达外推预报与数值模式预报融合技术进展,指出"取长补短"的0~6 h融合预报在提高降水预报精度、延长降水预见期等多方面有较大的发展潜力,进一步探寻及提升融合技术是未来融合预报发展的核心。将临近预报以气象水文耦合的方式引入水文预报是从源头提高水文预报精度、保障水文预报效果的主要途径,总结了现阶段主流耦合方式、空间尺度匹配技术、水文模型不确定等陆气耦合中的关键问题,阐述了外推临近预报、融合临近预报作为水文预报输入的研究进展,明确了融合临近预报在延长洪水预见期、提高洪水预报精度中存在优势,并讨论了未来的研究重点及发展方向。 相似文献
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This paper deals with the presentation of a flood warning system (GFWS) developed for the specific characteristics of the Guadalhorce basin (3,200 km2, SE of Spain), which is poorly gauged and often affected by flash and plain floods. Its complementarity with the European flood alert system (EFAS) has also been studied. At a lower resolution, EFAS is able to provide a flood forecast several days in advance. The GFWS is adapted to the use of distributed rainfall maps (such as radar rainfall estimates), and discharge forecasts are computed using a distributed rainfall–runoff model. Due to the lack of flow measurements, the model parameters calibrated on a small watershed have been transferred in most of the basin area. The system is oriented to provide distributed warnings and fulfills the requirements of ungauged basins. This work reports on the performance of the system on two recent rainfall events that caused several inundations. These results show how the GFWS performed well and was able to forecast the location and timing of flooding. It demonstrates that despite its limitations, a simple rainfall–runoff model and a relatively simple calibration could be useful for event risk management. Moreover, with low resolution and long anticipation, EFAS appears as a good complement tool to improve flood forecasting and compensate for the short lead times of the GFWS. 相似文献
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In recent decades, population growth associated with unplanned urban occupation has increased the vulnerability of the Brazilian population to natural disasters. In susceptible regions, early flood forecasting is essential for risk management. Still, in Brazil, most flood forecast and warning systems are based either on simplified models of flood wave propagation through the drainage network or on stochastic models. This paper presents a methodology for flood forecasting aiming to an operational warning system that proposes to increase the lead time of a warning through the use of an ensemble of meteorological forecasts. The chosen configuration was chosen so it would be feasible for an operational flood forecast and risk management. The methodology was applied to the flood forecast for the Itajaí-Açu River basin, a region which comprises a drainage area of approximately 15,500 km2 in the state of Santa Catarina, Brazil, historically affected by floods. Ensemble weather forecasts were used as input to the MHD-INPE hydrological model, and the performance of the methodology was assessed through statistical indicators. Results suggest that flood warnings can be issued up to 48 h in advance, with a low rate of false warnings. Streamflow forecasting through the use of hydrological ensemble prediction systems is still scarce in Brazil. To the best of our knowledge, this is the first time this methodology aiming to an operational flood risk management system has been tested in Brazil. 相似文献
8.
In real-time flood warning systems, sufficient lead-time is important for people to take suitable actions. Rainfall forecasting is one of the ways commonly used to extend the lead-time for catchments with short response time. However, an accurate forecast of rainfall is still difficult for hydrologists using the present deterministic model. Therefore, a probability-based rainfall forecasting model, based on Markov chain, was proposed in this study. The rainfall can be forecast one to three hours in advance for a specified nonexceeding probability using the transition probability matrix of rainfall state. In this study, the nonexceeding probability, which was hourly updated on the basis of development or decay of rainfall processes, was taken as a dominant variable parameter. The accuracy of rainfall forecasting one to three hours in advance is concluded from the application of this model to four recording rain gauges. A lumped rainfall-runoff forecasting model derived from a transfer function was further applied in unison with this rainfall forecasting model to forecast flows one to four hours in advance. The results of combination of these two models show good performance with agreement between the observed and forecast hydrographs. 相似文献
9.
降雨预报信息作为洪水预报模型的输入,该信息的准确性直接影响洪水预报模型输出的准确性.为探究模型输入(降雨预报)误差与输出(洪水预报)误差之间的关系,以英那河流域为例,分析了不同雨量等级下,预报模型的输入误差与输出误差的分布规律,并定性分析了两种误差的相关关系.结果表明,降雨量等级若为无雨及小雨时,两种误差不相关;若为中... 相似文献
10.
Progress in Researches on Ensemble Forecasting of Extreme Weather Based on Numerical Models 总被引：1，自引：1，他引：0
Under the background of climate change, extreme weather events (e.g., heavy rainfall, heat wave, and cold damage) in China have been occurring more frequently with an increasing trend of induced meteorological disasters. Therefore, it is of great importance to carry out research on forecasting of extreme weather. This paper systematically reviewed the primary methodology of extreme weather forecast, current status in development of ensemble weather forecasting based on numerical models and their applications to forecast of extreme weather, as well as progress in approaches for correcting ensemble probabilistic forecast. Nowadays, the forecasting of extreme weather has been generally dominated by methodology using dynamical models. That is to say, the dynamical forecasting methods based on ensemble probabilistic forecast information have become prevailing in current operational extreme weather forecast worldwide. It can be clearly found that the current major directions of research and development in this field are the application of ensemble forecasts based on numerical models to forecasting of extreme weather, and its improvement through bias correction of ensemble probabilistic forecast. Based on a relatively comprehensive review in this paper, some suggestions with respect to development of extreme weather forecast in future were further given in terms of the issues of how to propose effective approaches on improving level of identification and forecasting of extreme events. 相似文献
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In consideration of large uncertainties in severe convective weather forecast, ensemble forecasting is a dynamic method developed to quantitatively estimate forecast uncertainty. Based on ensemble output, joint probability is a post-processing method to delineate key areas where weather event may actually occur by taking account of the uncertainty of several important physical parameters. An investigation of the environments of little rainfall convection and strong rainfall convection from April to September (warm season) during 2009-2015 was presented using daily disastrous weather data, precipitation data of 80 stations in Anhui province and NCEP Final Analysis (FNL) data. Through ingredients-based forecasting methodology and statistical analysis,four convective parameters characterizing two types of convection were obtained, respectively, which were used to establish joint probability forecasting together with their corresponding thresholds. Using the ECMWF ensemble forecast and observations from April to September during 2016-2017, systematic verification mainly based on ROC and case study of different weather processes were conducted. The results demonstrate that joint probability method is capable of discriminating little rainfall convection and non-convection with comparable performance for different lead times, which is more favorable to identifying the occurrence of strong rainfall convection. The joint probability of little rainfall convection is a good indication for the occurrence of regional or local convection, but may produce some false alarms. The joint probability of strong rainfall convection is good at indicating regional concentrated short-term heavy precipitation as well as local heavy rainfall. There are also individual missing reports in this method, and in practice, 10% can be roughly used as joint probability threshold to achieve relative high TS score. Overall, ensemble-based joint probability method can provide practical short-term probabilistic guidance for severe convective weather. 相似文献
14.
The systematic decline of in situ networks for hydrologic measurements has been recognized as a crucial limitation to advancing
hydrologic monitoring in medium to large basins, especially those that are already sparsely instrumented. As a collective
response, sections of the hydrologic community have recently forged partnerships for the development of space-borne missions
for cost-effective, yet global, hydrologic measurements by building upon the technological advancements since the last two
decades. In this article, we review the state-of-the-art on flood monitoring in medium and large ungauged basins where satellite
remote sensing can facilitate development of a cost-effective mechanism. We present our review in the context of the current
hydro-political situation of flood monitoring in flood-prone developing nations situated in international river basins (IRBs).
Given the large number of such basins and the difficulty in acquisition of multi-faceted geophysical data, we argue that the
conventional data-intensive implementation of physically based hydrologic models that are complex and distributed is time-consuming
for global assessment of the utility of proposed global satellite hydrologic missions. A more parsimonious approach is justified
at the tolerable expense of accuracy before such missions begin operation. Such a parsimonious approach can subsequently motivate
the identified international basins to invest greater effort in conventional and detailed hydrologic studies to design a prototype
flood forecasting system in an effort to overcome the hydro-political hurdles to flood monitoring. Through a modeling exercise involving an open-book watershed concept, we demonstrate the value of a parsimonious approach
in understanding the utility of NASA-derived satellite rainfall products. It is critical now that real-world operational flood
forecasting agencies in the under-developed world come forward to collaborate with the research community in order to leverage
satellite rainfall data for greater societal benefit for inhabitants in IRBs. 相似文献
15.
《Comptes Rendus Geoscience》2003,335(6-7):525-533
The changes in the atmospheric chemical composition since the beginning of the industrial era have no equivalent throughout the Quaternary. All model simulations indicate that, without a significant decrease of the greenhouse gases emissions, climate is bound to change importantly during the years and decades to come. The precise forecast of these changes is made difficult both by the characteristics of natural systems which are not entirely predictable – as well as by our present and future socio-economic choices. To cite this article: H. Le Treut, C. R. Geoscience 335 (2003). 相似文献
16.
水库汛限水位动态控制是洪水资源利用的主要方式之一,提高水库洪水预报精度和延长有效预见期是实现水库汛限水位动态控制的关键所在。针对水库实时防洪调度的特点和流程,概述了新一代天气雷达、气象卫星及相关应用系统的技术进展,评价了这一技术进展在水库实时防洪调度中的重要作用,据此提出了综合应用新技术改进水库洪水预报、洪水量级判断和蓄水时机选择的技术途径。在此基础上,以海河流域潘家口水库为例,综合论证了水库汛限水位的动态控制范围,提出了汛期蓄水的控制策略与调控方法。 相似文献
17.
On the impacts of ENSO and Indian Ocean dipole events on sub-regional Indian summer monsoon rainfall 总被引：3，自引：0，他引：3
The relative impacts of the ENSO and Indian Ocean dipole (IOD) events on Indian summer (June–September) monsoon rainfall at
sub-regional scales have been examined in this study. GISST datasets from 1958 to 1998, along with Willmott and Matsuura gridded
rainfall data, all India summer monsoon rainfall data, and homogeneous and sub-regional Indian rainfall datasets were used.
The spatial distribution of partial correlations between the IOD and summer rainfall over India indicates a significant impact
on rainfall along the monsoon trough regions, parts of the southwest coastal regions of India, and also over Pakistan, Afghanistan,
and Iran. ENSO events have a wider impact, although opposite in nature over the monsoon trough region to that of IOD events.
The ENSO (IOD) index is negatively (positively) correlated (significant at the 95% confidence level from a two-tailed Student
t-test) with summer monsoon rainfall over seven (four) of the eight homogeneous rainfall zones of India. During summer, ENSO
events also cause drought over northern Sri Lanka, whereas the IOD events cause surplus rainfall in its south. On monthly
scales, the ENSO and IOD events have significant impacts on many parts of India. In general, the magnitude of ENSO-related
correlations is greater than those related to the IOD. The monthly-stratified IOD variability during each of the months from
July to September has a significant impact on Indian summer monsoon rainfall variability over different parts of India, confirming
that strong IOD events indeed affect the Indian summer monsoon.
相似文献
| Karumuri AshokEmail: |
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我国水文情报预报工作的主要成就及展望 总被引：2，自引：2，他引：0
新中国成立５０年来,水文情报预报工作取得了成就,在水情信息采集和传输方面,全国已有水文报汛站８０００余处,在２５处重点防洪河段和１５０座大型水库上建立了水文自动测报系统,共计有遥测站近２０００个,已有２２个省（市,区）和７个流域管理机构的水情部门通过计算机广域网互传水情信息。在水文预报技术方面,开发研制了适合中国特色的许多水文模型。随着计算机的广泛应用,水利信息中心初步建立了水雨情信息服务系统,包 相似文献
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强降水主要由生命史短的中小尺度天气系统造成,对此类天气系统的预报,目前只有依靠卫星和雷达的实时监测并结合中系统的概念模式外推来完成。由于中国西北地区地形极为复杂,造成雷达盲区,影响其估算降水率。因此采用GMS-4卫星的红外和可见光展宽云图资料,经处理并转换后,再加入相应网格点上的数字化地形高度资料作为因子之一,用多级逐步判别模式估算逐时雨强等级,最后形成一套可在微机上对雨强场进行图像显示及处理的软件系统,满足了现时预报的需要。结果表明,小雨以上的降雨区域不论面积、形状均与实况基本一致。 相似文献