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大气可预报性
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  atmospheric predictability
     As to the typical problems, besides the new estimates in the theoretical limitations of the atmospheric predictability, more efforts have been done in the studies on the actual predictability instead of theoretical predictability, and the correct understand of the atmospheric predictability has b ecome t he i mportant b asis o f t he d evelopment o f t he n umerical weather prediction and the data assimilation.
     在经典问题上,除了对可预报性的理论极限有了新的估计外,更着力从理论的可预报性向“实际可预报性”的转化,对正确理解大气可预报性已成为数值天气预报与资料同化发展的重要基础。
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     The results show that the atmospheric predictability of two models is much smaller than the actual atmospheric predictability, especially for the movements of wave number 0-3, which have the most important influence on the whole atmospheric movement. Therefore there is plenty of potential skill to improve the climate model if the forecasting of wave number 0-3 movements is improved.
     结果表明 ,欧洲中心和我国T63模式大气的可预报性均比实际大气可预报性小 ,特别是在对整体运动可预报性影响最大的 0~ 3波部分 ,差异较大 ,说明改进模式对 0~3波部分的预报能力 ,必将提高模式性能
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  “大气可预报性”译为未确定词的双语例句
     ASSESSING POTENTIAL PREDICTABILITY ASSOCIATED WITH BOREAL SEA ICE WITH AN AGCM
     北半球海冰强迫作用下大气可预报性研究
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     Secondly, the Analysis of Variance (ANOVA) technique, which is used to study the monthly or seasonal predictability, including the predictability of both the real atmosphere and the model atmosphere are explained.
     然后 ,较详细地介绍了目前研究月、季尺度时间平均可预报性的方差分析方法 ,包括了对实际大气和模式大气可预报性的研究 ;
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  相似匹配句对
     ATMOSPHERIC STOCHASTIC DYNAMICS AND PREDICTABILITY
     大气随机动力学与可预报性
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     THE DISCUSS OF THE PREDICTABILITY OF CLIMATIC OR ATMOSPHERIC SYSTEM
     大气(气候)系统可预报性问题的讨论
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     atmospheric corrosion
     大气腐蚀
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     Maagnanimous Beijing
     大气北京
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     On the predictability of the Lorenz system
     Lorenz系统的可预报性
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  atmospheric predictability
Nonlinear local Lyapunov exponent and atmospheric predictability research
      
Lastly, taking 500 hPa height field as example, we discuss the application of the nonlinear local Lyapunov exponent in the study of atmospheric predictability and get some reliable results: atmospheric predictability has a distinct spatial structure.
      
Besides sea surface temperature (SST), soil moisture (SM) exhibits a significant memory and is likely to contribute to atmospheric predictability at the seasonal timescale.
      
It is known that atmospheric predictability and model errors are highly flow-dependent therefore an increase in skill for average conditions may not imply the same improvements in specific conditions.
      
Many of these investigations bear on the problem of creating a theoretical framework for atmospheric predictability studies.
      
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In the paper a basic principle for designing numerical forecasting-the predictability

本文首先提出了设计数值天气预报模式的基本原则——模式大气的可预报性和实际大气的可预报性相一致。然后依据此原则讨论了目前在设计各种数值预报模式时存在的问题。

A new method named the Displacement and Maximum Correlation,which is used to interpret the products of ECMWF Ensemble Prediction System(EPS) automatically, is proposed. The basic assumption is that in a certain degree, the EPS members represent the future weather situations based on the conception of weather regimes defined by the forecasters of the Medium-Range Section in Meteo France. The 500 hPa geopotential height fields from ECMWF EPS are classified. It is shown that the predictability of the atmosphere...

A new method named the Displacement and Maximum Correlation,which is used to interpret the products of ECMWF Ensemble Prediction System(EPS) automatically, is proposed. The basic assumption is that in a certain degree, the EPS members represent the future weather situations based on the conception of weather regimes defined by the forecasters of the Medium-Range Section in Meteo France. The 500 hPa geopotential height fields from ECMWF EPS are classified. It is shown that the predictability of the atmosphere is relevant to the forecast time and the weather patterns. The new classification method is succinct and intuitive, and the large amount of information contained in the EPS is condensed dramatically. The weather regimes that influence France such as warm blocked flow (BCA), cold blocked flow (BFA), straight flow (RE) and perturbation (PE) are well predicted, but the predictability for the undulating flow (OND) is relatively poor because of its variability.

文章提出了一种对集合预报产品进行自动划分的新方法 ,即位移和最大相关距离。其基本假定是集合预报成员在一定程度上代表了未来可能发生的某类天气形势 ,为此引入了天气类型的概念 ,并以法国中期预报员总结出的影响法国的 5类天气形势为基础 ,对欧洲中期天气预报中心 (以下简称ECMWF)的集合预报产品进行了划分。  结果表明 ,大气的可预报性与预报时效、预报的天气有关。该文提出的新方法简洁直观 ,便于使用 ,在天气类型和实际天气之间建立了最直接的联系 ,大大压缩了集合预报产品的信息量。ECMWF的集合预报产品对影响法国的平直型、热阻塞型、冷阻塞型、扰动型等天气形势预报效果比较好 ,而对波动型则效果稍差

The study on the climate predictability is a very important aspect of the climate change research. Firstly, the two key reasons for which the short term climate prediction is feasible, as well as the substance of the short term climate predictability are introduced. Secondly, the Analysis of Variance (ANOVA) technique, which is used to study the monthly or seasonal predictability, including the predictability of both the real atmosphere and the model atmosphere are explained. Finally, the research conclusions...

The study on the climate predictability is a very important aspect of the climate change research. Firstly, the two key reasons for which the short term climate prediction is feasible, as well as the substance of the short term climate predictability are introduced. Secondly, the Analysis of Variance (ANOVA) technique, which is used to study the monthly or seasonal predictability, including the predictability of both the real atmosphere and the model atmosphere are explained. Finally, the research conclusions about short term climate predictability at present are reviewed.

气候的可预报性研究是气候变化研究的一个重要方面 ,作者首先介绍了短期气候预测之所以可行的两个主要原因 ,以及短期气候预测可预报性问题的实质 ;然后 ,较详细地介绍了目前研究月、季尺度时间平均可预报性的方差分析方法 ,包括了对实际大气和模式大气可预报性的研究 ;最后 ,对时间平均可预报性的研究结论进行了总结。

 
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