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Study On The Consistency Check Between The Simulations Of Wind Field Based On RAMS Model And Observations

Posted on:2010-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:X H DengFull Text:PDF
GTID:2178360275454579Subject:Science of meteorology
Abstract/Summary:PDF Full Text Request
RAMS is a developing model. Its installation is complicated and a lot of environment parameters and model parameters need to be modified to ensure the model functions. So the installation and the adjustment of the RAMS in a parallel server became the primary task.After the installation of the model successfully, the simulation results and observation data are contrasted from different aspects in this article based on the wind field simulation on Beijing and Daqing city. Conclusively, the simulation effects of the model are as follows: 1) Compared with the simulation effect of wind field in winter, the simulation ability of wind speed in summer is better, however, from the aspects of wind direction and other wind energy parameters, the simulation effect in winter is closer to the observations.2) The simulation ability of upper level wind field is superior to that of the low level. 3) The simulation results are smaller than observations in winter, but they show opposite feature in summer. 4) Meanwhile, this study has simulated the same region like Beijing using the improved model, but with different version. And the results show that the v6.0 is superior to the v4.4. 5) In the aspect of space, the difference between simulation results and observation data could be reduced by increasing the horizontal resolution.Because the simulation results are grid data and the observations are discrete point data. Therefore, how to make the contrast between simulation results and observations is also discussed.For short-term simulation, we can compare the flow fields directly. If the simulation period is long enough, it needs to use several compare methods to make a comprehensive consideration.Firstly, the original data are mainly used in this article, and in some special cases, the data obtained from 6 hour treatment are used, then for further comparative analysis.Secondly, for wind speed and wind direction, there are three contrast methods used in this article to compare. 1) The contrastive analysis of discrete points, namely to interpolate the simulation results which are grid data to the mast location, and then compare with the observation data. 2) The contrastive analysis of grid data, similarly, to interpolate the observation data to corresponding grids which lies in the same locations with the model grids. 3) This article has used the method of EOF to compare the simulated wind field and observed wind field in the aspects of spatial distribution pattern and temporal characteristics. Conclusively, the first method is adapted for the small number of masts, and it has advantage in comparison of wind direction. However, the second method has advantage in comparison of wind speed; and the third one is the most effective method in the contrastive work during different time level.Except the comparison of wind speed and wind direction, this article has contrasted some other related wind energy parameters. Among them, the comparison of Weibull distribution is meaningful, especially the relative position of the two curve diagram of large wind speed.
Keywords/Search Tags:wind element, wind energy parameter, contrastive analysis, Weibull distribution, simulation performance
PDF Full Text Request
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