Seasonal Sensitivity on COBEL-ISBA Local Forecast System for Fog and Low Clouds

Skillful low visibility forecasts are essential for air-traffic managers to effectively regulate traffic and to optimize air-traffic control at international airports. For this purpose, the COBEL-ISBA local numerical forecast system has been implemented at Paris CDG international airport. This local approach is robust owing to the assimilation of detailed local observations. However, even with dedicated observations and initialization, uncertainties remain in both initial conditions and mesoscale forcings. The goal of the research presented here is to address the sensitivity of COBEL-ISBA forecast to initial conditions and mesoscale forcings during the winter season 2002–2003. The main sources of uncertainty of COBEL-ISBA input parameters have been estimated and the evaluation of parameter uncertainty on the forecasts has been studied. A budget strategy is applied during the winter season to quantify COBEL-ISBA sensitivity. This study is the first step toward building a local ensemble prediction system based on COBEL-ISBA. The conclusions of this work point out the potential for COBEL-ISBA ensemble forecasting and quantify sources of uncertainty that lead to dispersion.     

Marine Layer Stratus Study

The intent of this study is to develop a better understanding of the behavior of late spring through early fall marine layer stratus and fog at Vandenberg Air Force Base, which accounts for a majority of aviation forecasting difficulties. The main objective was to use Leipper (1995) study as a starting point to evaluate synoptic and mesoscale processes involved, and identify specific meteorological parameters that affected the behavior of marine layer stratus and fog. After identifying those parameters, the study evaluates how well the various weather models forecast them. The main conclusion of this study is that weak upper-air dynamic features work with boundary layer motions to influence marine layer behavior. It highlights the importance of correctly forecasting the surface temperature by showing how it ties directly to the wind field. That wind field, modified by the local terrain, establishes the low-level convergence and divergence pattern and the resulting marine layer cloud thicknesses and visibilities.     

Quality Assessment of the Cobel-Isba Numerical Forecast System of Fog and Low Clouds

Short-term forecasting of fog is a difficult issue which can have a large societal impact. Fog appears in the surface boundary layer and is driven by the interactions between land surface and the lower layers of the atmosphere. These interactions are still not well parameterized in current operational NWP models, and a new methodology based on local observations, an adaptive assimilation scheme and a local numerical model is tested. The proposed numerical forecast method of foggy conditions has been run during three years at Paris-CdG international airport. This test over a long-time period allows an in-depth evaluation of the forecast quality. This study demonstrates that detailed 1-D models, including detailed physical parameterizations and high vertical resolution, can reasonably represent the major features of the life cycle of fog (onset, development and dissipation) up to +6 h. The error on the forecast onset and burn-off time is typically 1 h. The major weakness of the methodology is related to the evolution of low clouds (stratus lowering). Even if the occurrence of fog is well forecasted, the value of the horizontal visibility is only crudely forecasted. Improvements in the microphysical parameterization and in the translation algorithm converting NWP prognostic variables into a corresponding horizontal visibility seems necessary to accurately forecast the value of the visibility.     

福建城乡震灾快速评估系统设计

充分借鉴目前国内外工程地震和震害预测研究成果,结合福建实际震例,利用GIS技术、Web技术,设计开发区域范围震害预测及震灾快速评估系统,即福建城乡震灾快速评估系统.利用该系统平台对1992年以来发生在福建有较大影响的6次中强地震进行震灾快速评估,并将系统评估计算结果与实际震害调查评估结果进行对比分析,给出系统评估结果与...     

综合半参数核估计和自回归补偿的全球电离层总电子含量预报模型

针对电离层半参数球谐函数模型中窗宽参数选择引起的估计偏差,本文在传统的电离层球谐函数模型中引入半参数核估计和自回归(Autoregressive model,AR)模型,分别用于分离球谐函数模型的系统误差和窗宽参数引起的估计偏差,提出一种全球电离层总电子含量(Total Electron Content,TEC)组合预...     

Improvement of Local Categorical Precipitation Forecasts from an NWP Model by Various Statistical Postprocessing Methods

Several statistical postprocessing methods are applied to results from a numerical weather prediction (NWP) model to test the potential for increasing the accuracy of its local precipitation forecasts. Categorical (Yes/No) forecasts for 12hr precipitation sums equalling or exceeding 0.1, 2.0 and 5.0 mm are selected for improvement. The two 12hr periods 0600-1800 UTC and 1800-0600 UTC are treated separately based on NWP model initial times 0000 UTC and 1200 UTC, respectively. Input data are taken from three successive summer seasons, April-September, 1994-96. The forecasts are prepared and verified for five synoptic stations, four located in the western Czech Republic, and one in Germany near the Czech-German border. Two approaches to statistical postprocessing are tested. The first uses Model Output Statistics (MOS) and the second modifies the MOS approach by applying a successive learning technique (SLT). For each approach several statistical models for the relationship between NWP model predictors and predictand were studied. An independent data set is used for forecast verification with the skill measured by a True Skill Score. The results of the statistical postprocessing are compared with the direct model precipitation forecasts from gridpoints nearest the stations, and they show that both postprocessing approaches provide substantially better forecasts than the direct NWP model output. The relative improvement increases with increasing precipitation amount and there is no significant difference in performance between the two 12hr periods. The skill of the SLT does not depend significantly on the size of the initial learning sample, but its results are nevertheless comparable with the results obtained from the MOS approach, which requires larger developmental samples.     

双向差分模型在中强震长趋势预测中的应用

应用双向差分分析方法对青海地区5级以上地震、中国大陆西部、南北带及全国范围内发生的7级以上地震发生次数进行了计算，得到了该模型的理论预测结果；该方法对5．0级以上中强震的长趋势判定有一定的作用。     

多分形断层模型与地震序列研究

本文提出形成地震序列的多分形断层模型并利用分形分维理论讨论该模型及其序列。给出本模型的震级—频度关系、余震序列中强余震预报公式和多分维D_q—q关系式,探讨了利用多分维预报地震的有效性。     

2-D NUMERICAL MODEL FOR FLOOD FORECAST IN RIVERS WITH HEAVILY SEDIMENT LADEN FLOW

I.INTRODUCTIONTwo-dimensionalnumericalmodelisaPOwerfoltoolforengineersandriVermanagerstopredictfloodhydxaulics,identifyareasofinundation,anddesignoptionsforfloodcontrollingstructures.SomespecialproblemswithheavilysedimentladenflowriVershouldbecarefullyconsideredforthenumericalmodeldesigning;1.theplaneformofariVerisusuallybraidedanditsmainchannelshiftsoften.Themainchannelandbarreplaceeachotherseveraltimesinonefloodevent.Atagivenlocationthewaterdepthmaychangefromover10meterstoseveralcenhm…     

安徽三分区小震活动水平的统计预测

利用马尔可夫(Markoff)模型对安徽的霍山区、淮河中游区和沿江江南区的小震活动水平进行统计预测,结果显示,一年之内霍山地区一般会发生Ms≥2．5级地震,发生Ms≥3．0级地震的可能性不大。淮河中游区和沿江江南区一般会发生Ms≥2．0级地震,有可能发生Ms≥2．5级地震。淮河中游区发生Ms≥3．0级地震可能性不大,沿江江南区发生Ms≥3．0级地震可能性则很小。     

Modelling metolachlor exports in subsurface drainage water from two structured soils under maize (eastern France)

The study investigated the processes involved in metolachlor transport in two artificially drained, structured soils in eastern France. Measured losses of bromide and metolachlor in drainage water were compared with results simulated by the mechanistic, stochastic AgriFlux model. Simulated drainage water volumes were generally similar to the measured volumes when the spatial variability of the soil water properties was taken into account. When such variability was disregarded, cumulative water volumes of the clay soil were over- or underestimated by more than 20%. Two types of adsorption were tested. For instantaneous, reversible adsorption, using the partition coefficient Koc, metolachlor losses were underestimated in the first drainage water volumes and overestimated for the total study period. The use of slow adsorption and desorption kinetics (ADK) produced an export pattern similar to the observed one. A sensitivity analysis indicated that the simulated results are very sensitive to the values of the ADK rates, especially for the silty loam soil. The effect of ADK on the attenuation of metolachlor exports was more significant than the effect of degradation (2.3 and 6.7 times higher for the clay and silty loam soils, respectively). For the same four-month period, the bromide and metolachlor losses (using ADK) in the clay soil were 2.1 and 1.3 times greater, respectively, if the macroporosity was set at 10% than if it was not simulated. Conversely, macroporosity did not significantly affect these losses in the silty loam. The main factors involved in the metolachlor transport in the studied soils were: (i) the macroporosity, especially in the clay soil because of the low hydraulic conductivity of the matrix and (ii) the sorption kinetics rates which varied according to the soil physico-chemical characteristics.     

HPPPR模型及其在地震综合预测研究中的初步应用

在综合考虑经典投影寻踪算法特点的基础上,针对投影寻踪计算中存在的一些不利因素,给出相应的解决思路.利用数值仿真技术进行基于粒子群优化算法与厄密特多项式构建的投影寻踪回归模型建模能力与计算精度的检验,再将其应用于多维地震时间序列综合建模预测中.计算结果和进一步分析表明,基于粒子群优化算法与厄密特多项式构建的投影寻踪回归投影寻踪模型具有简单、快速、有效的特点,在实际地震综合预测建模中取得了满意的效果,可作为地震综合预测的一种回归分析方法.     

New predictors and a new prediction model for the typhoon frequency over western North Pacific

In this paper, the impacts of the atmospheric circulation during boreal winter-spring on the western North Pacific (WNP) typhoon frequency (WNPTF) are studied. Several new factors in winter-spring in- fluencing the typhoon frequency were identified, including the sea ice cover in the North Pacific and the North Pacific oscillation. Based on these results, the multi-linear regression was applied to establishing a new forecast model for the typhoon frequency by using the datasets of 1965―1999. The forecast model shows a high correlation coefficient (0.79) between the model simulated and the actual typhoon frequencies in the period of 1965―1999. The forecast model also exhibits reasonable hindcasts for the typhoon frequencies for the years 2000―2006. Therefore, this work demonstrates that the new pre- dictors are significant for the prediction of the interannual variability of the WNPTF, which could be potentially used in the operational seasonal forecast of the typhoon frequency in the WNP to get a more physically based operational prediction model and higher forecast skill.