Research On Inversion Of Precipitable Water Vapor Temporal And Spatial Distribution Based On HNCORS Observation Data

The Earth's atmosphere is in close contact with our lives and production,and water vapor is the most abundant greenhouse gas in the Earth's atmosphere.It plays a very important role in sustaining life on earth,temperature change and hydrological cycle.Atmospheric water vapor is also one of the main research contents of GPS meteorology,and the content of atmospheric water vapor has more complex spatial and temporal characteristics.Temporal variation,and this variation can have a huge impact on the evolution of climate.There is a correlation between the accumulation and changes in water vapor and the formation of rainfall.Much of the formation of natural geological hazards is directly or indirectly due to rainfall,so if it is possible to complete a study of atmospheric water vapor content Accurate measurement,modeling and forecasting,and real-time detection of atmospheric water vapor content is an important step in natural disaster prediction.The traditional detection technology of atmospheric water vapor content has many shortcomings and large errors,and the use of atmospheric precipitable GPS inversion technology to detect atmospheric water vapor content is an important step in natural disaster prediction.Water vapor content,with high accuracy,high spatial and temporal resolution,all-weather observation and real-time detection,and can compensate for the traditional water vapor content.The shortcomings of the detection technology have been significantly developed in recent years.This has made it possible to predict the evolution of rainfall through GPS inversion of atmospheric precipitation.The construction of the Hunan Provincial Satellite Navigation and Positioning Reference Station System(HNCORS)meets the requirements of using GPS data to carry out rainfall prediction on a province-wide basis.The possibility of atmospheric precipitable water inversion.In this paper,the following aspects based on HNCORS data will be investigated:(1)The Bernese software from the University of Bern,Switzerland,was used to solve the HNCORS network for GPS data processing.data collected to extract the values of the zenith tropospheric delay ZTD and combine them with the ECMWF published ERAInterim and ERA-5 These two types of meteorological data acquire temperature and pressure data from HNCORS station locations,which are processed by their own script.Software solves ZWD and PWV,identifies and solves problems encountered in data processing through practical exercises.(2)GPS/PWV data results solved with the 2015 HNCORS data as an example and sounding information calculation The obtained atmospheric precipitable precipitation results Radio/PWV for comparative analysis and accuracy evaluation,comparative analysis 16-18 years.The distribution and distribution characteristics of the calculated GPS/PWV of atmospheric precipitable rainfall in Hunan Province are analyzed to determine the The spatial and temporal characteristics and variation of precipitation differ from ERA-5 with deviations ranging from-8 to 6 mm in the comparison of the The deviation is greater in mountainous than flat areas of the province.RMSE values are in the range of 2 to 8 mm,with most areas having RMSE values less than 3 mm.for areas with PWV values less than 10 mm or greater than 60 mm,there is a significant improvement relative to the ERA-5 dry-wet bias.In addition,RMSE was found to increase with altitude,and the correlation coefficient between RMSE and altitude was 0.7.(3)Comparative analysis of GPS/PWV data from HNCOR data solved in 2015 to derive the time in Hunan Province variability and geographic distribution characteristics,managed to develop a high accuracy water vapor model,and selected a few extreme weather events for this period.to study changes in atmospheric water vapour content and to counteract trends in atmospheric precipitation availability during extreme weather and its relationship to weather progression.correlation,to further construct a distribution map of PWVs for a localized event that occurred in northern Hunan Province on April 3-4,2015 A single-factor analysis of water vapor variability(PWV)during sudden heavy rainfall events was performed.The results show that the accumulation,transport and convergence of water vapor during heavy precipitation can be analyzed using PWV distribution maps.Since the topography provides favorable conditions for precipitation formation,we also found that in mountainous areas,especially in hillsides and valleys,the intensity of precipitation and PWV size have a high correlation.(4)Attempts to assimilate GPS/PWV and Radio/PWV data and model them with realtime meteorological data to select the To validate the strong convective weather,and then attempt to model GPS/PWV for real-time monitoring and prediction of strong convective weather,to demonstrate that The accuracy of PWV data derived from the inversion of GNSS observation data and from the GNSS network was assessed.Potential for generating high-quality PWV distribution maps for near real-time weather forecasting.