High-resolution gridded hourly precipitation dataset for Peru (PISCOp_h).

Area of Science:

• Hydrology
• Climatology
• Meteorology
• Geospatial Data Science

Background:

• Accurate high-resolution precipitation data is crucial for understanding hydrological processes and climate variability, especially in complex terrains.
• Existing gridded precipitation datasets often lack the temporal resolution required for detailed event analysis.

Purpose of the Study:

• To introduce PISCOp_h, a novel high-resolution (0.1°) gridded dataset of hourly precipitation for Peru (2015-2020).
• To provide a reliable dataset for hydrological, climatological, and meteorological research in Peru, particularly in challenging mountainous regions.

Main Methods:

• Developed PISCOp_h using a temporal disaggregation technique applied to the PISCOp daily gridded dataset.
• Integrated data from 309 automatic weather stations and three satellite precipitation products (IMERG-Early, PERSIANN-CCS, GSMaP_NRT).
• Employed spatial interpolation of hourly precipitation and bias correction of the diurnal rainfall cycle.

Main Results:

• PISCOp_h demonstrates moderate to high efficiency in representing hourly precipitation frequency, intensity, and temporal coherence.
• Validation confirmed the dataset's reliability, especially in central and southern Peru.
• The dataset offers significant improvements for gridded hourly precipitation products in complex terrain.

Conclusions:

• PISCOp_h is a valuable advancement for high-resolution precipitation data in Peru.
• The dataset serves as a crucial baseline for future research in hydrology, climatology, and meteorology.
• This resource supports studies requiring detailed hourly precipitation information, even in challenging environments.