Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day

• Autores: Aybar Camacho, Cesar Luis, Fernández, C., Huerta, Adrian, Lavado-Casimiro, W., Vega-Jácome, Fiorella, Felipe-Obando, Oscar
• Formato: artículo
• Fecha de Publicación: 2020
• Institución: Servicio Nacional de Meteorología e Hidrología del Perú
• Repositorio: SENAMHI-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.senamhi.gob.pe:20.500.12542/288
• Enlace del recurso: https://hdl.handle.net/20.500.12542/288; https://doi.org/10.1080/02626667.2019.1649411
• Nivel de acceso: acceso abierto
• Materia: Climatología; Lluvia; Abastecimiento de Agua; Radar; Algoritmo; https://purl.org/pe-repo/ocde/ford#1.05.11; precipitacion - Clima y Eventos Naturales

A new gridded rainfall dataset available for Peru is introduced, called PISCOp V2.1 (Peruvian Interpolated data of SENAMHI’s Climatological and Hydrological Observations). PISCOp has been developed for the period 1981 to the present, with an average latency of eight weeks at 0.1° spatial resolution. The merging algorithm is based on geostatistical and deterministic interpolation methods including three different rainfall sources: (i) the national quality-controlled and infilled raingauge dataset, (ii) radar-gauge merged precipitation climatologies and (iii) the Climate Hazards Group Infrared Precipitation (CHIRP) estimates. The validation results suggest that precipitation estimates are acceptable showing the highest performance for the Pacific coast and the western flank of the Andes. Furthermore, a meticulous quality-control and gap-infilling procedure allowed us to reduce the formation of inhomogeneities (non-climatic breaks). The dataset is publicly available at https://piscoprec.github.io/ and is intended to support hydrological studies and water management practices.