Dataset of Convective Intensive Precipitation Predictors and Precipitation statistics in Moscow region (DCIPP)

DCIPP (Dataset of Convective Intensive Precipitation Predictors) is a specialized dataset designed to assess the risks of hazardous events associated with deep convection. The database contains information on the spatial distribution of precipitation and related atmospheric thermodynamic characteristics.Key Features:Data format: CSV file with a "," field separator and a "." decimal separator.Structure: Each row corresponds to a separate dateGeographical coverage: Moscow region (54.5 – 57.0° N, 34.5 – 40.5° E), RussiaTemporal coverage: 32 warm periods (1989 – 2020 May to September)Data composition:Date attributes (date, year, month, day)Statistical characteristics of the spatial distribution of precipitation from observationsParameters of the city's influence on precipitation distribution from observationsStatistical characteristics of the spatial distribution of precipitation from ERA5 reanalysisERA5 reanalysis data with convective indices and atmospheric characteristicsThe database was developed by a team of authors: Yarinich Yu., Varentsov M., Platonov V., Chernokulsky A., Davletshin S., and Dronova E. and was used in scientific publications studying the influence of the Moscow city on warm-season precipitation.