Kalman滤波在黄河上游融雪期径流预报中的应用初探   总被引：1，自引：1，他引：1  

宋强 《冰川冻土》1991,13(1):27-34

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PRELIMINARY STUDY OF BAROTROPIC STOCHASTIC DIFFERENCE MODEL APPLIED TO WEATHER PREDICTION          下载免费PDF全文

Zhu Shengming  Cao Hongxing 《Acta Meteorologica Sinica》1991,5(1):90-100

In order to consider both the deterministic and the stochastic property of atmospheric motion simul-taneously,in this paper,the weather prediction is proposed as the problem of the evolution of meteorologicalfield.The historical viewpoint of atmospheric motion is emphasized here.Based on time series analysis te-chnique,a stochastic-dynamical model with multiple initial fields is derived.Thus,weather forecasting is sum-meal up as a problem of solving a set of stochastic difference equations.For the barotropic atmosphere,thenumerical solutions of the equations are obtained by using the method of empirical orthogonal functions(EOF),and examples of medium-range weather prediction are given here.Meanwhile,selecting the order oftime series,i.e.,determining the number of initial fields properly,is also discussed.  相似文献   

利用GMS－4红外云图资料定量测量淮河流域汛期降水     

傅德胜  尹新怀  徐慧 《南京气象学院学报》1994,(2)

提出和介绍了利用ＧＭＳ－４红外云图资料定量测量淮河流域汛期降水的ＣＴ－ＴＲＣ（ｃｌｏｕｄｔｏｐｔｅｍｐｅｒａｔｕｒｅｒａｉｎｆｕｌｌｃｕｒｖｅ，云顶温度－降水量曲线）方法及实现步骤，并结合个例进行了分析。  相似文献   

南方大到暴雪的一种预报方法   总被引：3，自引：1，他引：3  

高智松  魏柏温 《气象》1994,20(4):41-43

对构成南方大到暴雪的两个特征量：降水量和积雪深度用多种预报方法从晴雨、降水性质、降水量级、冰冻及积雪厚度等不同角度分别进行预报，然后通过推理组合，最终建立暴雪预报方法。该方法除了可以得出有无大到暴雪的预报结果外，还可以得到多种中间预报结果，从而适应预报服务的多种需要。在近３年的实际使用中获得了很好的效果。  相似文献   

Cloud tracking using satellite data for predicting the probability of heavy rainfall events in the Mediterranean area     

L. Lanza  M. Conti 《Surveys in Geophysics》1995,16(2):163-181

The use of cloud tracking techniques and storm identification procedures is proposed in this paper with the aim of predicting the evolution of cloud entities associated with the highest rainfall probability within a given meteorological scenario. Suitable algorithms for this kind of analysis are based on the processing of digital images in the thermal infrared (IR) band from geostationary satellites: a selection of such algorithms is described in some detail together with a few real case applications. Three heavy rainfall events have been selected for this purpose with reference to the extreme meteorological situation observed during Fall 1992 and 1993 over the Mediterranean area. A window from 30 to 60 °N and from 20 °W to 30 °E has been identified for the analysis of data from the radiometer on board the ESA Meteosat platform. In conclusion, the suitability of cloud tracking techniques for predicting the probability of heavy rainfall events is discussed provided that the former are associated with proper modeling of small scale rainfall distribution.  相似文献   

自忆性方程与自忆模式   总被引：7，自引：0，他引：7       下载免费PDF全文

曹鸿兴 《气象》1995,21(1):9-13

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Rainfall-runoff forecasting methods,old and new     

M. Karlsson  S. Yakowitz 《Stochastic Environmental Research and Risk Assessment (SERRA)》1987,1(4):303-318

Here we review the main thrusts of rainfall-runoff modelling with an eye toward the advantageous use of the massive date sets being accumulated and the modern computers capable of dealing effectively with such sets.More than a tutorial, this study is aimed at providing a unifying structure for analyzing available techniques. The closing section draws attention to the existence of an alternative methodology.  相似文献   

中尺度数值天气预报的初步试验   总被引：2，自引：0，他引：2  

何洁琳 《广西气象》2005,26(2):1-3,13

通过用中尺度MM4模式对2004年11月14日到15日天气过程进行数值模拟预报试验，了解MM4模式和用数值预报模式进行天气预报的全过程。对MM4模式的初次应用表明，中尺度数值模拟及预报的研究在一般台站是可行的，中小尺度数值预报模式为今后发展地县精细化预报及中尺度过程诊断分析提供了良好的工具。  相似文献   

Forecasting extreme events in the tropical Indian Ocean sector climate     

Roxana C. Wajsowicz   《Dynamics of Atmospheres and Oceans》2005,39(1-2):137

Prospects for forecasting climate variability over the tropical Indian Ocean sector, specifically extreme positive events of the Indian Dipole Mode (IDM), with lead times of a season or more are investigated using the NASA Seasonal-to-Interannual Prediction Project (NSIPP) coupled-model system. The coupled system presents biases in its climatology over the Indian Ocean sector, which include (i) warmest sea-surface temperatures (SSTs) occurring in the central equatorial basin rather than on the eastside with the eastern (western) tropical SSTs up to 1 °C too cool (warm), (ii) a too northwest lying InterTropical Convergence Zonal over the ocean in boreal fall, (iii) a thermocline shallower (deeper) than observed west of Sumatra-Java (north of Madagascar), (iv) a delay of about a month in the onset (cessation) of the southwest (southeast) monsoon in the west (east) in boreal spring (fall). These biases affect the effectiveness of the SST-clouds-shortwave radiation negative feedback, the sensitivity of SST to wind-stress perturbations, and the character of equatorial coupled ocean-atmosphere modes. Despite these biases, ensemble hindcasts of the SST anomalies averaged over the eastern and western poles of the IDM for the decade 1993–2002, which included extreme positive events in 1994 and 1997/1998, are encouragingly good at 3-months lead. The onset of the 1997/1998-event is delayed by about a month, though the peak and decay are correctly timed. At 6-months lead-time, the forecast at the eastern pole deteriorates with either positive or negative false alarms generated each boreal fall. The forecast at the western pole remains good.  相似文献   

Limitations of real-time models for forecasting river flooding from monsoon rainfall   总被引：1，自引：0，他引：1  

Muthiah Perumal  Bhabagrahi Sahoo 《Natural Hazards》2007,42(2):415-422

Very intense rainfall during the southwest and northeast monsoons causes severe river flooding in India. Some traditional techniques used for real-time forecasting of flooding involve the relationship between effective rainfall and direct surface runoff, which simplifies the complex interactions between rainfall and runoff processes. There are, however, serious problems in deducing these variables in real time, so it is highly desirable to have a real-time flood forecasting model that would directly relate the observed discharge hydrograph to the observed rainfall. The storage routing model described by Baba and Hoshi (1997), Tanaka et al. (1997), and Baba et al. (2000), and a simplified version of this model, have been used to compute observed river discharge directly from observed hourly rainfall. This method has been used to study rainfall–runoff data of the Ajay River Basin in eastern India. Five intense rainfall events of this basin were studied. Our results showed that the Nash–Sutcliffe efficiency of discharge prediction for these five events was 98.6%, 94.3%, 86.9%, 85.6%, and 67%. The hindcast for the first two events is regarded as completely satisfactory whereas for the next two events it is deemed reasonable and for the fifth it is unsatisfactory. It seems the models will yield accurate hindcast if the rainfall is uniform over the drainage basin. When the rainfall is not uniform the performance of the model is unsatisfactory. In future this problem can, in principle, be corrected by using a weighted amount if rainfall is based upon multiple rain-gauge observations over the drainage basin. This would provide some measure of the dispersion in the rainfall. The model also seems unable to simulate flooding events with multiple peaks.  相似文献