FFT NP FTA(MTA Fenntartható Fejlődés és Technológiák Nemzeti Program) Támogató: MTA
ÉMNL(RRF-2.3.1-21-2022-00014) Támogató: NKFIH
Víztudományi és Vízbiztonsági Nemzeti Laboratórium(RRF-2.3.1-21-2022-00008) Támogató:
NKFIH
This study concerns the interpolation of daily and hourly precipitation data in regions
where small but intense thunderstorms, such as supercells, have occurred, and which,
due to their size, often evade conventional meteorological stations. Consequently,
relying solely on these measurements for interpolation can introduce errors and yield
incomplete representations. To mitigate these issues, this research incorporates radar
background information. The study selects days marked by significant precipitation
during summer season and employs the Meteorological Interpolation based on Surface
Homogenized Data (MISH) method for interpolation, both with and without radar-derived
background data. Furthermore, our research also investigates the adaptability of the
MISH method in handling radar anomalies, which encompass errors, missing data, and
spurious measurements resulting from unintended radar reflections. Additionally, it
examines whether the precipitation measured by radar can be used for climatic purposes
on its own (without traditional measurements). Statistical techniques are employed
to assess the improvement in interpolation quality with the inclusion of radar data
and to quantify the relationship between interpolations with and without supplementary
radar information. The study underscores the critical role of combining measurement
data and radar products in the interpolation framework. This approach has implications
for societal and agricultural sectors and offers potential benefits for hazard forecasting
accuracy.