Multi Source Data Fusion Based On STAMS And Application Of Multigrid Algorithm

The analytical data products play an important role in the weather forecast.It is of great value to obtain a set of high resolution and fusion observation data as much as possible and closer to the analysis data of the real atmosphere.The meteorological data in China are more and more abundant,but because of the difference of observation methods and techniques,there are certain data errors in different observation data.At the same time,the distribution of observation data stations is very uneven in our country.The commonly used method of meteorological services in China is to use different interpolation methods to deal with the observed data,and lack of systematic treatment of the data.Therefore,an observation data processing platform is urgently needed.The platform can be used as much as possible to process the data reasonably and get closer to the real field analysis data.The STMAS system developed by ESRL under the United States National Oceanic and Atmospheric Administration(NOAA)is a platform that can well integrate multi-source data,study the system's fusion effect under the meteorological observation conditions in the country,and explore whether the system can bring Better analysis of data to improve the accuracy of weather and climate predictions has a good practical significance for promoting social and economic development.Among them,the cost function function of variational assimilation is solved in the STMAS fusion system.It is worth studying the better algorithm for finding the cost function of the variational assimilation method.In this paper,the multigrid method is used to solve the cost function of the three-dimensional variational assimilation,and the conjugate gradient method is used as the contrast method to judge the iterative efficiency of the multigrid method.A series of simulation experiments have been done.The experiments show that the multigrid method has a good iterative efficiency.In addition,the STMAS fusion system is used to fuse the data of more than 37000 regional sites and the background field GFS data in the whole country,and a higher resolution field is obtained.The experimental analysis shows that the STMAS fusion system has the ability to capture small weather changes.The STMAS analysis field in the western region and other mountainous regions has a better analytical observation ability than the GFS background field.The fusion background field and the ground observation data of the STMAS fusion can be sufficient to retain the advantages of the background data.In different regions,background field data will be corrected according to observation information.