Performance evaluation of high-resolution IMDAA and IMERG for detecting cloudburst events over the Northwest Himalayas

The main goal of this research is to assess the Indian Monsoon Data Assimila-tion and Analysis (IMDAA), a recently established high-resolution (0.12 degrees x 0.12 degrees) reanalysis dataset, for observing cloudburst events over the Northwest Himalaya (NWH). In addition, a high-resolution (0.1 degrees x 0.1 degrees) satel-lite estimate, the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) version 6 (IMERG-V06B) (Final run), is validated against the IMDAA. The following is a summary of our significant findings. (1) Reana-lysis data from the IMDAA detects 11 out of 16 cloudburst incidences. In addi-tion, 10 events captured in the IMERG-V06B data are a subset of those captured by IMDAA. According to contingency measures, the probability of detection (POD) of IMERG-V06B at 99.99th percentile is 33.33%-63.39% along the geographical extent of NWH. When utilizing the improved probability of detection (IPOD) to account for time, the possibility of IMERG-V06B detecting cloudburst occurrences ranges from 41.24% to 68.25%. (2) According to the finding, the IMDAA accurately detects cloudburst events in Jammu and Kashmir (J & K), where data from the India Metrological Department (IMD) at a resolution of 0.25 degrees x 0.25 degrees have underperformed. As a result, we can deduce that IMDAA can be used to observe extreme events in the Himalayas. IMERG-V06B is also relevant satellite data for monitoring cloudburst events and validating climate models.