Multi-source Meteorological Vertical Observation Equipment Integrated Product Integrated Processing System

The meteorological industry not only has a vital impact on the economic development of the society,but also plays a pivotal role in the protection of the environment and the forecast of disastrous climates.At present,the research of ground-based remote sensing observation technology has received increasing attention,and a meteorological observation system with ground-based remote sensing observation equipment as the data source has gradually developed and formed.Most of the meteorological observation and forecasting systems of this kind of system rely on new ground-based remote sensing vertical observation equipment for platform system construction,and each platform system is often operated independently,and data and data cannot be easily shared.It usually requires external interface conversion,to a certain extent.The above affects the link between meteorological data.In this context,how to make full use of the high real-time advantage of continuous detection of new ground-based remote sensing observation equipment,integrate multi-source meteorological data,and maximize convenient data extraction,multi-device data integration processing,and multi-sources for business and researchers Data cross fusion compensates for each other,combined with related fusion product algorithms to achieve a comprehensive display of multiple weather forecast products,is one of the most popular topics in current weather detection.This subject originated from a project established by the Atmospheric Observation Center of the China Meteorological Administration.It aims to develop a meteorological service system with multi-source meteorological observation data that integrates three types of ground-based remote sensing observation equipment: cloud radar,wind profiler radar and microwave radiometer.The system realizes the collection,storage,and processing of the continuous observation data of the three types of equipment,as well as the generation of meteorological indexes or products combined with many meteorological product algorithms,so as to give full play to the advantages of multi-source data integration and data cross-integration to make up for each other.The system implements many meteorological products,algorithms,or meteorological indexes.At the same time,according to actual business needs,it conducts related research on the use of microwave radiometer brightness temperature to invert the atmospheric temperature and humidity profile,and the inversion of the atmospheric temperature and humidity profile based on the BP neural network.The algorithm has been improved in application,and an inversion algorithm of atmospheric temperature and humidity profile that introduces complete cloud information is proposed,and the algorithm is connected to the system to realize business applications.The system developed in this paper meets the project requirements of the project,completes the related goals,realizes the integration of the three types of observation equipment,and builds a multi-source meteorological data database platform,which greatly facilitates the integration and inversion of multi-source equipment data.,Complementary advantages,etc.With the help of multi-source data integration,the system has realized numerous meteorological products.It provides necessary data support,meteorological product algorithm support and platform system support for meteorological numerical forecasting and research.