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干旱、半干旱区域降水趋势可预报期限的初步研究 总被引：1，自引：0，他引：1
应用中国西北和美洲大陆中部干旱、半干旱区域７个长记录站的月降水量记录，分析了降水趋势的可预报期限问题。结果表明：月降水量标准化系数序列的可预报尺度为３个月左右。将该序列进行差分运算后，误差倍增时间会显著加长。 相似文献
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Experimental Simulations of Extreme Precipitation Based on the Multi-Status Markov Chain Model 
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下载免费PDF全文 A multi-status Markov chain model is proposed to produce daily rainfall, and based on which extreme rainfall is simulated with the generalized Pareto distribution (GPD). The simulated daily rainfall shows high precision at most stations, especially in pluvial regions of East China. The analysis reveals that the multistatus Markov chain model excels the bi-status Markov chain model in simulating climatic features of extreme rainfall. Results from the selected six stations demonstrate excellent simulations in the following aspects:standard deviation of monthly precipitation,daily maximum precipitation,the monthly mean rainfall days,standard deviation of daily precipitation and mean daily precipitation, which are proved to be consistent with the observations. A comparative study involving 78 stations in East China also reveals good consistency in monthly mean rainfall days and mean daily maximum rainfall, except mean daily rainfall. Simulation results at the above 6 stations have shown satisfactory fitting capability of the extreme precipitation GPD method. Good analogy is also found between simulation and observation in threshold and return values. As
the errors of the threshold decrease, so do the di?erences between the return and real values. All the above demonstrates the applicability of the Markov chain model to extreme rainfall simulations. 相似文献
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Application of Artificial Neural Networks to Rainfall
Forecasting in Queensland, Australia 总被引：1，自引：0，他引：1
In this study,the application of artificial intelligence to monthly and seasonal rainfall forecasting in Queensland,Australia,was assessed by inputting recognized climate indices,monthly historical rainfall data,and atmospheric temperatures into a prototype stand-alone,dynamic,recurrent,time-delay,artificial neural network.Outputs,as monthly rainfall forecasts 3 months in advance for the period 1993 to 2009,were compared with observed rainfall data using time-series plots,root mean squared error(RMSE),and Pearson correlation coefficients.A comparison of RMSE values with forecasts generated by the Australian Bureau of Meteorology’s Predictive Ocean Atmosphere Model for Australia(POAMA)-1.5 general circulation model(GCM) indicated that the prototype achieved a lower RMSE for 16 of the 17 sites compared.The application of artificial neural networks to rainfall forecasting was reviewed.The prototype design is considered preliminary,with potential for significant improvement such as inclusion of output from GCMs and experimentation with other input attributes. 相似文献
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基于2019年4～10月金沙江中下游逐日面雨量实况资料、西南区域数值天气预报业务模式(SWC-WARMS)和中央气象台智能网格预报模式(NWGD)0～24小时降水预报对金沙江中下游月累计面雨量、日面雨量的月极值分布、暴雨频次分布特征进行分析并做了检验评估。结果表明:(1)金沙江中下游月累计面雨量主要集中在6～9月,强降雨天气也主要出现在6～9月。(2)2019年4～10月期间总共出现暴雨次数22次,出现暴雨次数最多的区域是A区,D区没有出现暴雨。(3)西南区域模式对于C区、D区、E区月累计面雨量的预报以及对于A区和C区小雨和中雨的预报优于中央气象台预报模式。(4)平均绝对误差(Ea)、模糊评分(Mp)和TS评分(Tsk)结果显示中央台智能网格预报模式上优于西南区域预报模式。 相似文献
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东北地区月平均大气环流型与哈尔滨-气候关系的初步研究 总被引：9，自引：1，他引：9
利用基于英国Lamb(1950年)发展的大气环流分型方法的Jenkinson(1977年)法对东北地区1951—2002年的月平均海平面气压场(MSLP)进行环流分型。由月平均海平面气压场算出6个环流指数,并由此划分出27种环流类型,分析了其中出现频率最高的5种主要环流类型(N,NW,C,CSW,SW)在不同时间尺度下的变化规律及它们与哈尔滨月平均温度的关系,利用逐步回归方法得到了温度距平的拟合曲线。给出了各种环流类型的月平均降水量和与哈尔滨降水密切相关的C,CSW和SW 3种环流类型对应的平均海平面气压合成图。结果表明:哈尔滨冬季以N,NW型为主,夏季以C,CSW和SW型为主。出现N和NW型时气温偏低,降水偏少;而出现C,CSW和SW型时气温较高,降水偏多。用6个环流指数中的地转风V和大尺度平均温度t可以建立其与温度距平之间的一个统计模式,利用此模式,能解释哈尔滨1951—2002年温度变化方差的77.3%。C,CSW和SW 3种环流类型为哈尔滨的主要降水类型,C型与哈尔滨总降水的相关关系很好,并且近20年来哈尔滨主要以C型降水为主。这种研究大尺度大气环流与区域气候变量—温度、降水之间关系的方法是一种统计降尺度(statistical downscaling)方法,可以用于区域气候预测。 相似文献
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A Monthly Atmospheric Circulation Classification and Its Relationship with Climate in Harbin 总被引：1，自引：0，他引：1 下载免费PDF全文
下载免费PDF全文 In this study,the classification scheme developed by Jenkinson and Collison (1977) based on a typing scheme of Lamb (1950) is applied to obtain circulation types from the mean sea-level pressure on a monthly basis.Monthly mean sea-level pressure data from 1951 to 2002 are used to derive six circulation indices and to provide a circulation catalogue with 27 circulation types.Five major types (N,NW,C,CSW,and SW) which occurred most frequently are analyzed to reveal their relationships with the temperature of Harbin on various time scales.Stepwise multiple regression is used to reconstruct temperature anomaly.The monthly mean rainfall of all types occurring and the composite maps of three major types (C,CSW,and SW) relevant to Harbin's precipitation are studied. The results show that the dominant types in winter are types N and NW.types C,CSW,and SW occur frequently in summer.Types N and NW favor a negative temperature anomaly and correspond to less rainfall,while types C,CSW,and SW often induce a positive temperature anomaly and correspond to more rainfall.Moreover,a successful statistical model can be established with only one of the six indices and large-scale mean temperature.Using the model,77.3% of the total variance in the temperature anomaly between 1951 and 2002 can be reconstructed.Type C has a close relationship with total rainfall and type C precipitation plays a major role in determining the total rainfall of Harbin in recent years.This classification scheme is a statistical downscaling model and its relationships with temperature and precipitation can be used to forecast regional climate. 相似文献
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用原始数据建立的多元自回归预报模型,虽然对气压,气温,绝对湿度的预报精度很高,但对月降水量的预报粗度较低,改用自典型相关因子建模,大大提高了月降水量的预报精度,对气压,气温,绝对湿度的预报亦有所改进。 相似文献
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A neuroid BP-type three-layer mapping model is used for monthly rainfall forecasting in terms of 1946-1985 Nanjing monthly precipitation records as basic sequences and the model has the form i × j ＝ 8 × 3, K = 1; by steadily modifying the weighing coefficient, long-range monthly forecasts for January to December, 1986 are constructed and 1986 month-to-month predictions are made based on, say, the January measurement for February rainfall and so on, with mean absolute error reaching 6,07 and 5,73 mm, respectively. Also, with a different monthly initial value for June through September, 1994, neuroid forecasting is done, indicating the same result of the drought in Nanjing dur-ing the summer, an outcome that is in sharp agreement with the observation. 相似文献
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Archana Nair U. C. Mohanty Nachiketa Acharya 《Theoretical and Applied Climatology》2013,111(1-2):327-339
A supervised principal component regression (SPCR) technique has been employed on general circulation model (GCM) products for developing a monthly scale deterministic forecast of summer monsoon rainfall (June–July–August–September) for different homogeneous zones and India as a whole. The time series of the monthly observed rainfall as the predictand variable has been used from India Meteorological Department gridded (1°?×?1°) rainfall data. Lead 0 (forecast initialized in the same month) monthly products from GCMs are used as predictors. The sources of these GCMs are International Research Institute for Climate and Society, Columbia University, National Center for Environmental Prediction, and Japan Agency for Marine Earth Science and Technology. The performance of SPCR technique is judged against simple ensemble mean of GCMs (EM) and it is found that over almost all the zones the SPCR model gives better skill than EM in June, August, and September months of monsoon. The SPCR technique is able to capture the year to year observed rainfall variability in terms of sign as well as the magnitude. The independent forecasts of 2007 and 2008 are also analyzed for different monsoon months (Jun–Sep) in homogeneous zones and country. Here, 1982–2006 have been considered as development year or training period. Results of the study suggest that the SPCR model is able to catch the observational rainfall over India as a whole in June, August, and September in 2007 and June, July, and August in 2008. 相似文献
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扩展经验正交函数(EEOF)及其在月、季降水预测中的应用 总被引：4，自引：0，他引：4
本文提出一种降水长期预测的新方案，用扩展经验正交函数(EEOF)展开连续月组成的月（季）降水分布场，求取各月的特征向量场和对应的时间权重系数，分析各场的天气学意义及前后承替的相互关系，用前期出现的特征向量场的特征来预测后期的降水场分布趋势，同时利用特征向量场所对应的时间系数作二维点聚图，估算预报月（季）份的降水总趋势。 相似文献
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We demonstrate that there is significant skill in the GloSea5 operational seasonal forecasting system for predicting June mean rainfall in the middle/lower Yangtze River basin up to four months in advance.Much of the rainfall in this region during June is contributed by the mei-yu rain band.We find that similar skill exists for predicting the East Asian summer monsoon index(EASMI)on monthly time scales,and that the latter could be used as a proxy to predict the regional rainfall.However,there appears to be little to be gained from using the predicted EASMI as a proxy for regional rainfall on monthly time scales compared with predicting the rainfall directly.Although interannual variability of the June mean rainfall is affected by synoptic and intraseasonal variations,which may be inherently unpredictable on the seasonal forecasting time scale,the major influence of equatorial Pacific sea surface temperatures from the preceding winter on the June mean rainfall is captured by the model through their influence on the western North Pacific subtropical high.The ability to predict the June mean rainfall in the middle and lower Yangtze River basin at a lead time of up to 4 months suggests the potential for providing early information to contingency planners on the availability of water during the summer season. 相似文献
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J. C. Labraga 《Theoretical and Applied Climatology》2010,99(3-4):287-302
Statistical models for rainfall downscaling based on multiple linear regression techniques have been developed and tested in the Andean Region of west Argentina, an extended mountainous region where three different rain regimes predominate and rainfall has great spatial and temporal variability. The verification procedure was focused on the model’s ability to reproduce observed rainfall trends in recent decades. In the northwest of Argentina, domain of the tropical summer rain regime, the monthly rainfall variance accounted for by downscaling models was 77% on average and models reproduced satisfactorily the negative linear trend observed in the last two decades of the past century. In the arid central-west Argentina, a region of rapid transition between two different rain regimes, model performance was rather poor (an average of 50% of explained variance), even so models were able to capture outstanding differences in the linear trend between the northern and southern sectors of the region. In the southwest of Argentina, domain of the mid-latitude winter rain regime, the monthly variance accounted for by downscaling models was 71% on average and models were capable to reproduce a singular change in the onset of the rainy season that occurred during the 1990s. The results achieved demonstrate that it is feasible to establish significant and useful statistical relationships between atmospheric variables and rainfall at monthly and river basin scales, even for a topographically complex region like western Argentina. 相似文献
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大降雨型滑坡临界雨量及潜势预报模型研究 总被引：8，自引：3，他引：5
通过对湖北省1975～2002年发生的194次滑坡个例进行分析发现：滑坡时间主要发生在5-8月,占全年总次数的80％左右,与多年月平均雨量分布比较一致;滑坡区域主要位于湖北西部山地,高频中心在三峡库区;滑坡与前期降雨尤其是大降雨关系非常密切,大降雨型滑坡占滑坡总次数的63．1％。利用实效雨量计算方法,确定了大降雨型滑坡临界雨量,以此为依据建立了潜势预报模型。 相似文献
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月平均降水量的二次规划最优组合预测方法研究 总被引：6，自引：0，他引：6
以逐步回归、均生函数和多层递阶作为月平均降水量的3种子预报方法，进一步采用二次规划计算方法，通过计算各子方法的最优非负权系数进行最优组合预测建模研究。实例计算结果表明，这种组合预测模型的预报精度优于各子方法，并具有较好的理论依据，可在实际业务预报中进行推广应用。 相似文献
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CCM3大气环流模式月-季尺度预报初步试验 总被引：6，自引：2，他引：6
以1991和1994年NCEP再分析格点资料作初始场, 用NCAR气候模式CCM3进行了48次月、季预报, 针对500 hPa高度和中国降水资料对其预测能力进行了检验.结果表明, CCM3对月尺度的高度场的预报有一定的能力.对中国160站的降水距平进行月尺度和季节预报, 其准确程度可以和目前经验预报的水平相当.比较使用实际海温和用外推法预测的海温两种下边界条件所作的预报结果发现, 两者的效果差异不大. 相似文献
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Level 3 (3A25) TRMM Precipitation Radar (PR) data are used for 13 years period (1998–2010) to prepare climatology of TRMM PR derived near surface rain (Total rain) and rain fractions for the 4-months duration of Indian Summer Monsoon season (June–September) as well as for individual months. It is found that the total rain is contributed mostly (99 %) by two rain fractions i.e. stratiform and convective rain fractions for the season as well as on the monthly basis. It is also found that total rain estimates by PR are about 65 % of the gauge measured rain over continental India as well as on sub-regional basis. Inter-annual variability of TRMM-PR rain estimates for India mainland and its sub-regions as well as over the neighboring oceanic regions, in terms of coefficient of variability (CV) is discussed. The heaviest rain region over north Bay of Bengal (BoB) is found to have the lowest CV. Another sub-region of low CV lies over the eastern equatorial Indian ocean (EEIO). The CVs of total rain as well as its two major constituents are found to be higher on monthly basis compared to seasonal basis. Existence of a well known dipole between the EEIO and the north BoB is well recognized in PR data also. Significant variation in PR rainfall is found over continental India between excess and deficit monsoon seasons as well as between excess and deficit rainfall months of July and August. Examination of rainfall fractions between the BoB and Central India on year to year basis shows that compensation in rainfall fractions exists on monthly scale on both the regions. Also on the seasonal and monthly scales, compensation is observed in extreme monsoon seasons between the two regions. However, much less compensation is observed between the north BoB and EEIO belts in extreme rain months. This leads to speculation that the deficit and excess seasons over India may result from slight shift of the rainfall from Central India to the neighboring oceanic regions of north BoB. Contribution of stratiform and convective rain fractions have been also examined and the two fractions are found to contribute almost equally to the total rain. Results are further discussed in terms of the possible impact of the two rain fractions on circulation based on possible difference is vertical profiles of latent heat of two types of rain. Substantial differences in the lower and upper tropospheric circulation regimes are noticed in both deficit and excess monsoon months/seasons, emphasizing the interaction between rainfall (latent heat) and circulation. 相似文献