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

Adrian Huerta; Waldo Lavado-Casimiro; Oscar Felipe-Obando

doi:10.1016/j.dib.2022.108570

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

Data Brief. 2022 Sep 2:45:108570. doi: 10.1016/j.dib.2022.108570. eCollection 2022 Dec.

Authors

Adrian Huerta¹, Waldo Lavado-Casimiro¹, Oscar Felipe-Obando¹

Affiliation

¹ Servicio Nacional de Meteorología e Hidrología (SENAMHI), Calle Cahuide 785, 11, Jesús María, Lima, Perú.

Abstract

This article introduces a high-resolution (0.1°) gridded dataset of hourly precipitation across Peru for the period 2015-2020, called PISCOp_h. The product was developed using a temporal disaggregation technique based on the gridded daily precipitation dataset PISCOp and additional data from 309 automatic weather stations and three satellite precipitation products (IMERG-Early, PERSIANN-CCS, and GSMaP_NRT). The workflow of PISCOp_h involved the spatial interpolation of hourly precipitation and a bias correction of the diurnal rainfall cycle. Based on a technical validation, we demonstrated that PISCOp_h provides moderate to high efficiency in characterizing the frequency, intensity, and temporal coherence of hourly precipitation, particularly in central and southern Peru. PISCOp_h represents an important advance to construct gridded hourly precipitation products under challenging environmental conditions in, e.g., mountain regions with complex terrain. This new dataset provides a useful baseline for future studies in hydrology, climatology, and meteorology. The data collection described is available on figshare: https://doi.org/10.6084/m9.figshare.c.5743166.

Keywords: Andes; Automatic weather stations; Hourly precipitation; PISCOp; Peru; Satellite precipitation products; Temporal disaggregation.

Associated data

figshare/10.6084/m9.figshare.c.5743166