AI Article Synopsis
- The article presents PISCOp_h, a high-resolution gridded dataset of hourly precipitation in Peru covering 2015-2020, developed using daily data and information from weather stations and satellites.
- The creation process involved spatial interpolation and bias correction to ensure accurate representation of rainfall patterns, especially in central and southern Peru.
- PISCOp_h is a significant tool for research in hydrology, climatology, and meteorology, offering valuable data for studies in complex terrains like mountainous regions.
Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486058 | PMC |
| http://dx.doi.org/10.1016/j.dib.2022.108570 | DOI Listing |
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