Projected sea level rise in Florida   总被引：1，自引：0，他引：1  

Todd L. Walton Jr.   《Ocean Engineering》2007,34(13):1832-1840

Future sea level rise will lead to salt water intrusion, beach/dune recession, and many other coastal problems. This paper addresses a data based forecasting approach to provide relative sea level rise estimates at locations in Florida where historical water level data exist. Many past estimates of sea level rise have treated the rise as a linear straight line trend over the historical data set. The present paper has allowed for acceleration (or deceleration) in sea level rise to account for the possibility of anthropogenic global warming and consequent higher (than linear straight line) future sea levels similar to values noted by global climatic modelers. Results of the present analysis show sea level rise for Florida being higher than past straight line trend results.  相似文献   

Bed changes at toe of inclined seawalls     

Mousa S. El-Bisy   《Ocean Engineering》2007,34(3-4):510-517

This study was carried out to investigate the scour phenomenon at the toe of seawalls and the different parameters that affected it. Experiments were achieved using different wave steepnesses, bed material grain sizes, wall positions and inclinations. Based on experimental results, the parametric plots of toe scour for smooth impermeable inclined seawalls were prepared. Also, this paper presents the bed changes prediction at seawalls toe using artificial neural networks on the basis of experimental data to widen the range of application. Suitability of using a neural network model was developed, and a model was validated. It is proposed that this model can be used in coastal engineering applications.  相似文献   

Sensitivity of the Weather Research and Forecasting (WRF) model to downscaling ratios and storm types in rainfall simulation     

Jia Liu  Michaela Bray  Dawei Han 《水文研究》2012,26(20):3012-3031

Accurate information of rainfall is needed for sustainable water management and more reliable flood forecasting. The advances in mesoscale numerical weather modelling and modern computing technologies make it possible to provide rainfall simulations and forecasts at increasingly higher resolutions in space and time. However, being one of the most difficult variables to be modelled, the quality of the rainfall products from the numerical weather model remains unsatisfactory for hydrological applications. In this study, the sensitivity of the Weather Research and Forecasting (WRF) model is investigated using different domain settings and various storm types to improve the model performance of rainfall simulation. Eight 24‐h storm events are selected from the Brue catchment, southwest England, with different spatial and temporal distributions of the rainfall intensity. Five domain configuration scenarios designed with gradually changing downscaling ratios are used to run the WRF model with the ECMWF 40‐year reanalysis data for the periods of the eight events. A two‐dimensional verification scheme is proposed to evaluate the amounts and distributions of simulated rainfall in both spatial and temporal dimensions. The verification scheme consists of both categorical and continuous indices for a first‐level assessment and a more quantitative evaluation of the simulated rainfall. The results reveal a general improvement of the model performance as we downscale from the outermost to the innermost domain. Moderate downscaling ratios of 1:7, 1:5 and 1:3 are found to perform better with the WRF model in giving more reasonable results than smaller ratios. For the sensitivity study on different storm types, the model shows the best performance in reproducing the storm events with spatial and temporal evenness of the observed rainfall, whereas the type of events with highly concentrated rainfall in space and time are found to be the trickiest case for WRF to handle. Finally, the efficiencies of several variability indices are verified in categorising the storm events on the basis of the two‐dimensional rainfall evenness, which could provide a more quantitative way for the event classification that facilitates further studies. It is important that similar studies with various storm events are carried out in other catchments with different geographic and climatic conditions, so that more general error patterns can be found and further improvements can be made to the rainfall products from mesoscale numerical weather models. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

大小兴安岭林区风场动力降尺度对比研究     

孟莹莹  曹殿斌  吴岩  王子洋 《气象与环境学报》2019,35(4):8-15

对2017年春季黑龙江省大、小兴安岭林区的6个代表站点10 m风场进行降尺度分析,并结合观测数据对比分析了WRF模式和CALMET降尺度模式的10 m风速、风向预报结果。结果表明：两模式逐小时风速预报与观测的相关系数为0.5-0.7,且随着风速的增加,模式的预报准确率逐渐提高,夜间的风速预报偏差较大,进入白天后,偏差明显减小。WRF模式对风速变化趋势的预报效果优于CALMET模式,与观测的风速相关性更高,而CALMET模式对较大风速的预报效果优于WRF模式。在风向预报方面,WRF和CALMET的风向模拟与观测风向均有较好的一致性,模式预报准确率较高的两个风向也刚好对应各站的盛行风向。同时,本文用回归方法对日平均风速进行订正发现,订正后各站的日平均风速预报准确率平均提高了50%,具有较好的业务应用价值。  相似文献   

基于WebGIS的江西省山洪灾害预报系统设计与应用     

樊建勇  单九生  管珉  徐星生 《气象与减灾研究》2013,(1):64-68

针对南方丘陵多雨地区山洪灾害防御需求,采用B/S三层体系结构设计了基于WebGIS技术和水文预报模型的江西省山洪灾害预报系统。系统提供山洪灾害实时预报、临近预报和短期预报山洪灾害风险产品,发布山洪灾害风险等级、基础地理信息等数据,实现了地图浏览、GIS基本操作、图层管理、数据查询等功能。预报时效检验表明系统预报结果较山洪灾害实际发生时间提前3 h以上,并在2009年7月2—3日赣州地区一次山洪过程进行模拟,能够准确预报出山洪风险等级,应用效果良好。  相似文献   

Regression modeling method of space weather prediction     

A. S. Parnowski 《Astrophysics and Space Science》2009,323(2):169-180

A regression modeling method of space weather prediction is proposed. It allows forecasting Dst index up to 6 hours ahead with about 90% correlation. It can also be used for constructing phenomenological models of interaction between the solar wind and the magnetosphere. With its help two new geoeffective parameters were found: latitudinal and longitudinal flow angles of the solar wind. It was shown that Dst index remembers its previous values for 2000 hours.  相似文献   

气象预报服务效益评估方法研究——以暴雨预报服务为例   总被引：6，自引：3，他引：3  

姜爱军  屠其璞  陈广昌  田心如 《气象科学》2008,28(4):435-439

暴雨是江苏的重要气象灾害之一,为了对暴雨预报气象服务效益作出恰当的评估,我们设计了预报准确率V、预报服务覆盖率P、预报服务时效率N、可能预防能力Z等四个指标,给出了定量评估暴雨预报气象服务效益的数学模型,并且用实例说明了该模型的实用性和可操作性.预报服务覆盖率、预报服务时效和预报准确率与服务效益成正比,各个因子都会很大程度上影响服务效益值.预防能力越强,气象服务的效益越大,这也说明了气象预报只是一种信息,信息价值的体现还在于应用信息群体的决策和防御能力.  相似文献   

三种数值模式对山西降水预报性能的对比检验     

赵海英  朱敏嘉  米将桃 《山西气象》2009,(1):11-13

利用MM5、T213和Grapes3种数值模式的降水预报产品和山西省108个标准测站的降水实况资料,采用客观统计检验方法,对2008年7月各模式在山西省的累加降水预报进行了对比检验。结果表明：24h中雨以下预报1、213优于MM5,中雨以上MM5则略优于T213,48h预报各级降水MM5都优于T213,T213和MM5对暴雨都有一定的预报能力。无论哪个预报时效和降水量级,Grapes均无明显优势。Grapes预报降水量级和降水范围都偏小,空报较少,漏报严重,尤其48h和72h10mm以上降水基本都漏报。MM5预报降水量级和预报范围都偏大,10mm以上降水TS评分较其它模式高,但同时空报也比较严重。3种模式TS评分均随降水量级的增大而减小,T213和Grapes的TS评分随预报时效的增加而减小,MM5的TS评分随预报时效的增加变化不大。  相似文献   

阳泉市强对流天气分析预报     

李素敏  张瑞兰  李亚军  高雅芳 《山西气象》2009,(3):3-7

本文通过对发生在阳泉的强对流天气的历史个例分析,得出其天气分型,结合强对流天气发生发展条件分析以及卫星云图和多普勒雷达资料的应用,得出一些强对流天气预报指标,为做好强对流天气的预报服务提供参考。  相似文献   

Prévision des crues éclair     

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