客观分析是资料同化的一个主要内容。
The objective analysis is one of the main contents of data assimilation.
并通过数值试验进一步肯定正则化理论在资料同化中的作用。
Ideal experiments are also conducted to verify the effect of the regularization method on variational data assimilation.
本文研究了两类含有“开关”的物理过程的变分资料同化问题。
In this paper, the variational data assimilation of two kinds of physical model including "on-off"...
本文主要目的是建立具有实际运行能力的集合卡尔曼滤波资料同化系统。
So the actual background error covariance is the key to success of data assimilation technique.
方法是目前在强非线性系统中应用最广泛，效果最明显的集合资料同化方法。
The Ensemble Kalman Filter (EnKF) is a powerful data assimilation method and has proven its efficiency for strongly non-linear dynamical systems but is demanding in computing power.
集合资料同化是依赖于统计理论，集合预报方法和资料同化方法的有机结合。
Ensemble data assimilation is at the intersection of ensemble forecasting methodologies and relatively independently developed data assimilation based on the theory of statistical estimation.
资料同化能够提供更为合理的预报初始场，对风暴潮的短期预报有较明显的改进。
Data assimilation can give a better initial field, therefore the short-range storm surge forecast has an obvious amelioration.
最后对MM5伴随模式系统进行了梯度检验，并利用实际资料进行四维变分资料同化试验。
Furthermore, the conventional observations are done in the MM5 model system, and a four-dimensional variational data assimilation test is made based on observed data.
初值化不仅对随后的一次预报有明显的改进，而且通过同化循环，提高了整个资料同化和预报的质量。
Through the assimilation cycle, initialization not only improves the following fore - cast, but also advances the whole data assimilation and prediction quality.
进一步应用这个结论讨论了不同来源温度资料的同化问题，对资料同化技术的提高有一定的指导意义。
This result is used to discuss the problems concerning assimilation of different temperature data, which is of significance for the improvement of the skill of data-assimilation.
集合预报的应用，在天气预报上主要是概率预报，另外在“目标观测”、资料同化等方面也有广泛应用。
As applied in weather prediction like probability forecast, ensemble prediction has been used for "targeted observation" and data assimilation.
进一步应用这个结论讨论了不同来源温度资料的同化问题 ，对资料同化技术的提高有一定的指导意义。
The weight increases exponentially as it approaches to the output time. This result is used to discuss the problems concerning assimilation of different …
应用伴随方法求解以数值预报方程作为约束条件的四维变分资料同化方案，关键问题是如何构造伴随模式。
The key problem of four-dimensional variational data assimilation method, which solves the constraining numerical predict equations through accompanied model, is how to establish an accompanied model.
应用伴随方法求解以数值预报方程作为约束条件的四维变分资料同化方案 ，关键问题是如何构造伴随模式。
The four-dimensional data assimilation is to integrate the current and past data into a forecast model equation for providing time continuity and dynamic coupling.
因而海洋资料同化能有效的将现有的海洋观测融入海洋模式中，从而可以提供时空分布更加完善的再分析资料。
Thus it could effectively apply observations to ocean model to produce reanalysis product with more complete time-space distribution.
背景误差协方差是变分资料同化系统中的一个重要组成部分，能将观测信息从观测点传播到周围的模式格点和垂直层上。
Background error covariance is an important part of variational data assimilation system, which is used to spread the observation information to other grid points and vertical levels of the model.
另外，GPS测量可降水量本身可能存在系统误差，在将GPS资料同化入数值预报模式时应关注GPS资料本身的可靠性。
In addition, GPS observation itself maybe have system error, so it is needed to take into account GPS self-reliability when assimilating the GPS data into the numerical prediction model.
由于海面上缺少常规测站，因此无法实现海面部分的测站同化，而这必将影响到海面部分的模拟质量，而云迹风资料恰可以祢补这个不足。
Because of absence of regular observation on sea area, it is impossible to implement observation assimilation on sea part and it is certain that this will influence the simulation quality of sea part.
子流域的降水与气象资料通过数据同化技术得到。
The precipitation and meteorological data of each sub-catchment are gained by the technology of data assimilating.
研究人口的阻滞增长模型，采用资料变分同化方法及最优控制的技巧，从理论上对模型中的最大人口容量和固有增长率进行最优确。
By using the variation assimilation method and the optimal control method, theoretical analyses of the maximum population capacity and the inherent growth rate for the population model is presented.
文中介绍了如何获得及同化GPS折射角资料的原理。
This paper introduces how to obtain and assimilate the GPS bending angle.
近年来，卫星辐射资料在数值天气预报（NWP）系统中的直接同化研究取得了长足进展。
Recently, much progress has been made in the direct assimilation of satellite radiance measurements in numerical weather-prediction(NWP) system.
本文的工作就是多普勒雷达资料在MM 5模式中的四维变分同化试验。
This paper does the experiments of Doppler radar's Four-dimensional Variational Assimilation in MM5 model.
因此，MODIS大气可降水量资料经过修正后，可以为卫星反演模式提供同化性较好的输入资料。
So we can conclude that after revised the MODIS atmospheric precipitable water data can be used to satellite derived model and can improve the retrieval accuracy of some satellite remoting model.
地表比辐射率计算的不确定性，直接影响到卫星资料在数值预报中同化应用的效果。
The uncertainty of surface emissivity influences directly the efficiency of satellite radiance assimilation in numerical weather prediction model.
鉴于传统的四维资料伴随模式同化系统都是假设模式完全正确仅对初始场进行修正。
Considering that the model is traditionally supposed to be exact and only initial data fields are amended in Adjoint Assimilation System (AAS).
气象资料数据变分同化的经典之作，开山之作。
Meteorological data of variational assimilation of classic, mountain work.
然后，从采购和供应这两个方面，建立共同配送的模型，对调查资料系统分析并构筑物流共同化体系。
Then from two respects of purchasing and supplying this text sets up the model of joint distribution and construct to survey and analysis logistics system together.
试验表明：在伴随模式同化系统中加入常规和非常规资料，可以改进初始场，从而改善预报场。
The results indicate that the adding of conventional and non-conventional observations into adjoint model system can improve the quality of initial field, thereof improve the result of forecasting.
试验表明：在伴随模式同化系统中加入常规和非常规资料，可以改进初始场，从而改善预报场。
The results indicate that the adding of conventional and non-conventional observations into adjoint model system can improve the quality of initial field, thereof improve the result of forecasting.
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