4.3 Meteorological data loss

Weather radars often suffer from data loss issues, which limits their data quality and applications. The traditional weather radar missing data completion method based on radar physics and statistics has defects in various aspects (Gong, et al., 2023).Modern weather radars are powerful tools in today’s real-time weather monitoring. Thanks to their high spatial resolution and short scanning interval, radars can usually obtain more comprehensive and finer-grained observations in regions than rain gauges and satellites. Despite the advantages of radars, they suffer from the data-missing problem that limits their data quality. A significant cause of radar missing data is beam blockage, which occurs when radar beams are obstructed by terrain objects like mountains and buildings, resulting in wedge-shaped blind zones behind the objects. Some data is missing. This may also cause abnormal temperature data (Gong, et al., 2023). ⁤Besides beam blockage, other equally significant factors include the phenomenon of attenuation, whereby radar signals are weakened as they pass through intense rainfall, which leads to underestimations of rainfall and linked temperature data (Fabry, 1996). ⁤⁤These restrictions in radar technology can cause gaps in meteorological data, which could lead to inaccurate temperature results. ⁤