Enhancing precision in short-term precipitation interpolation with radar background: unraveling case studies through 10-minute radar data analysis
- 1HungaroMet Hungarian Meteorological Service, Department of Climate Research, (bokros.k@met.hu)
- 2ELTE Faculty of Science, Doctoral School of Earth Sciences, Budapest, Hungary
This study investigates the refinement of short-term precipitation interpolation, focusing on regions prone to intense, localized thunderstorms like supercells. Traditional meteorological stations often miss these events due to their limited spatial coverage, leaving significant precipitation accumulations unrecorded, leading to incomplete representations and errors in interpolation. To mitigate these interpolation errors, auxiliary data sources such as satellite imagery, weather forecasts, and radar measurements are crucial for refining interpolation processes and enhancing our understanding of precipitation patterns. In our research we integrate radar background information into the MISH (Meteorological Interpolation based on Surface Homogenized Data) method as documented in the studies authored by Szentimrey and Bihari (2007, 2014).
Using the MISH method, we processed 10-minute precipitation datasets with and without 10-minute radar-derived background information across the study area building on our prior research (Bokros et al., 2023). We examined how MISH handles radar anomalies, including errors, missing data, and spurious measurements from unintended reflections.
Statistical techniques were employed to elucidate the extent to which the inclusion of radar-derived data enhanced the quality of interpolation. Furthermore, our investigation aimed to quantify the robustness of the relationship between interpolations conducted with radar-derived background information and those performed without such supplementary data.
Integrating radar-derived background information into interpolation processes is essential for improving societal resilience, agricultural productivity, and hazard forecasting accuracy in areas susceptible to intense thunderstorms. This improvement can lead to better preparedness and mitigation strategies.
The research was conducted within the framework of the Széchenyi Plan Plus program, with support from the RRF 2.3.1 21 2022 00008 project.
How to cite: Bokros, K., Izsák, B., Lakatos, M., and Szentes, O.: Enhancing precision in short-term precipitation interpolation with radar background: unraveling case studies through 10-minute radar data analysis, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-421, https://doi.org/10.5194/ems2024-421, 2024.
