Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day. Issue 5 (3rd April 2020)

• Record Type: Journal Article
• Authors: Aybar, Cesar; Fernández, Carlos; Huerta, Adrian; Lavado, Waldo; Vega, Fiorella; Felipe-Obando, Oscar
• Is Part Of: Hydrological sciences journal. Volume 65:Issue 5(2020)
• Page Start: 770
• Page End: 785
• Publication Date: 2020-04-03
• Subjects: quality control -- gap-infilling -- CHIRP -- TRMM 2A25 -- quantile mapping -- PISCOp V2.1; Hydrology -- Periodicals; 551.4805
• DOI: 10.1080/02626667.2019.1649411
• Languages: English
• ISSNs: 0262-6667

Abstract

ABSTRACT: 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.