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

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 aut...

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Detalles Bibliográficos
Autores principales: Huerta, Adrian, Lavado-Casimiro, Waldo, Felipe-Obando, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486058/
https://www.ncbi.nlm.nih.gov/pubmed/36148213
http://dx.doi.org/10.1016/j.dib.2022.108570
Descripción
Sumario: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.