Advancement and Application of Multi-Source Merged Real-Time Analysis Products in 2022
A concise summary of the advancements in the research and development of multi-source merged real-time analysis products in National Meteorological Information Centre in 2022 is presented,emphasizing the application of these products in the monitoring of high-impact weather processes and their crucial role in providing significant service support.By optimizing four key aspects,namely multi-source data collaborative quality control technology,real-time analysis technology for complex terrains,Fengyun satellite data assimilation technology,and authenticity verification technology,significant improvements have been achieved in enhancing the quality of real-time products such as precipitation and temperature.Notably,there has been a reduction of 20%in temperature product errors within complex terrain areas,effectively eliminating false precipitation and 80%snowmelt precipitation,and therefore enhancing the accuracy of rainfall information in complex mountainous regions.Additionally,atmospheric wind field errors have decreased by 2%,while humidity errors have reduced by 3.5%.For severe weather events such as heavy rainstorms,typhoons,heatwaves,cold waves etc.,products accurately reflected the characteristics of convective systems during Dragon Boat Water period and precisely captured the evolution of precipitation areas,rainfall intensity,impacted areas by strong winds,and vertical structure of Typhoon Muifa.Furthermore,products demonstrated excellent monitoring capabilities for extreme hot weather conditions and rain/snow/ice/freeze events as well as strong winds during cold waves.Moreover,in emergency events such as flash floods,the minute-level data provided by real-time products effectively compensated for the lack of monitoring information in sparse station areas.And the 100-meter resolution real-time products effectively supported the meteorological service for the 2022 Beijing Winter Olympic Games.
multi-source mergedreal-time productresearch and improvementmonitoring applicationunexpected eventmeteorological support
万方数据
维普
