System Design And Implementation Of Refined Grid Service For Meteorological Elements And Dynamic Capability Evaluation

With the increasing requirements of the people on the accuracy of weather forecasts and climate predictions,meteorological work has gradually changed to diversification and refinement.This paper designs and implements a one-stop system that integrates the generation,evaluation,application,and storage of meteorological element grid data—the fine-grained meteorological element grid service and dynamic capability evaluation system.In order to optimize the system’s massive data processing performance in the refined grid service module,this paper proposes an adaptive spatiotemporal heterogeneity inverse distance interpolation algorithm.The algorithm takes the inverse distance weight method as the core and realizes fast spatial clustering through the Delaunay triangulation method.Use the similarity distance to determine the inverse distance interpolation weight,and introduce time correlation to complete the missing data for time interpolation.This paper demonstrates the advantages of adaptive spatiotemporal heterogeneity inverse distance interpolation algorithm in engineering applications through comparative experiments on real data sets.The system proposed in this paper is designed based on mature software technology and architecture scheme,has a user-friendly operation page,has high mass data processing and analysis performance,faster response speed,perfect and sound data storage and recovery mechanism,And can deal with a certain degree of instantaneous concurrent pressure.The system supports a variety of spatial interpolation methods in business to complete the generation of refined grid data,and is compatible with diversified model prediction products(including but not limited to ECMWF,DERF2.0 and other model prediction products)inspection,evaluation,inclusion and refined grid Data application related climate zone division,using Net CDF and relational database two data storage solutions to complete the storage of refined grid data.In this paper,the system has been tested and evaluated,and the results show that the system is robust and correct.