坝上高原近90年以来降水变化趋势

根据史料和降水量资料，建立了自１９００年以来坝上高原旱涝级别（５级）序列，并对其进行了周期分析和趋势分析。结果表明，坝上高原降水变化具有明显的４２年和９年周期，自６０年代初以来该区进入干旱少雨阶段，并将持续到本世纪末下世纪初。此外，还有一些短周期，如４－５年和２－３年等，因而，在今后１０年内，干旱和少雨仍将持续，土地沙漠化也将继续发展。     

The reserves of extracted resources: Historical data

The available data on known reserves of extracted resources have not previously been tabulated and graphed. In this article we compile the reserves data in one place for the first time. This serves to (1) show the trends in the reserves series, (2) make the series available to others, and (3) place the reserves data in the context of price data for which longer series have been available, and with which they can now be seen to be consistent in both showing increasing availability rather than increasing scarcity.     

A comparison of state space and multiple regression for monthly forecasts: U.S. Fuel consumption

Monthly consumption forecasts for U.S. oil, natural gas, and coal are made using state space and multiple regression applied to the same data. These forecasts are compared with actual consumption for a test period. The forecasts made using state space are preferred to those made using multiple regression models for both expost and exante cases. The state space forecasts track data cycles better than do the regression forecasts. Average absolute forecast errors are less for the state space models than they are for the multiple regression models.     

闽东南地区降雨侵蚀力的初步研究

本文利用实测降雨与径流小区资料对闽东南地区不同降雨类型的雨强等特点及其对土壤侵蚀的影响进行了分析；提出了６０分钟瞬时最大雨强为侵蚀性降雨指标，其指标在该地区为Ｉ６０≥９ｍｍ；建立了研究区年侵蚀力Ｒ值的简便算式，并根据谝绘制了研究区Ｒ值分布图。     

船舶气象导航随船验证

通过横流太平洋往返两个航次随船调查，研究了采用气象导航对减少燃油消耗和保证船舶安全、班期等，不但有定的经济效益，而且是一种非常有效的航运管理方法。     

1991 年6月江淮持续暴雨的云系特征分析

通过对GMS静止卫星的红外数据处理，获得了1991年夏季江淮梅雨期暴雨大范围的平均云分布。对1991年6月6次江淮暴雨过程逐时和3小时的GMS红外云图动画和照片的分析，得到了该地区梅雨期暴雨的三种中低纬云系相互作用的云型演变模型图，并利用由卫星气象中心处理的NOAA卫星的TOVS水汽反演资料，结合低层的θse和急流分析，给出了1991年6月江淮暴雨的水汽输送的一些特征。     

用时间序列模拟和预报天山乌鲁木齐河源1号冰川年径流总量

本文把1958—1984年天山乌鲁木齐河源1号冰川的融水径流总量的时间序列X(t),分解为趋势项L(t)、周期项P(t)、平稳项S(t)、随机项ε(t),使该时间序列表示为X(t)=L(t)+P(t)+S(t)+ε(t)。采用非线性回归提取L(t),用谱分析和Fourier级数提取P(t),余差用自回归方程建模,用上述项的叠加作出预报,按相关指数公式计算R=0.90,效果良好。     

A univariate model for long-term streamflow forecasting

This paper, the first in a series of two, employs the principle of maximum entropy (POME) via maximum entropy spectral analysis (MESA) to develop a univariate model for long-term streamflow forecasting. Three cases of streamflow forecasting are investigated: forward forecasting, backward forecasting (or reconstruction) and intermittent forecasting (or filling in missing records). Application of the model is discussed in the second paper.     

PRELIMINARY STUDY OF BAROTROPIC STOCHASTIC DIFFERENCE MODEL APPLIED TO WEATHER PREDICTION

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.