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

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.

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Main Authors: Aybar Camacho, Cesar Luis, Fernández, C., Huerta, Adrian, Lavado-Casimiro, W., Vega-Jácome, Fiorella, Felipe-Obando, Oscar
Format: info:eu-repo/semantics/article biblioteca
Language:eng
Published: Taylor and Francis
Subjects:Climatología, Lluvia, Abastecimiento de Agua, Radar, Algoritmo,
Online Access:https://hdl.handle.net/20.500.12542/288
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spelling dig-senamhi-pe-20.500.12542-2882024-08-20T21:56:14Z Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day Aybar Camacho, Cesar Luis Fernández, C. Huerta, Adrian Lavado-Casimiro, W. Vega-Jácome, Fiorella Felipe-Obando, Oscar Climatología Lluvia Abastecimiento de Agua Radar Algoritmo 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. 2020 info:eu-repo/semantics/article https://hdl.handle.net/20.500.12542/288 eng info:eu-repo/semantics/embargoedAccess Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América Taylor and Francis Repositorio Institucional - SENAMHI Servicio Nacional de Meteorología e Hidrología del Perú
institution SENAMHI PE
collection DSpace
country Perú
countrycode PE
component Bibliográfico
access En linea
databasecode dig-senamhi-pe
tag biblioteca
region America del Sur
libraryname Biblioteca del SENAMHI Perú
language eng
topic Climatología
Lluvia
Abastecimiento de Agua
Radar
Algoritmo
Climatología
Lluvia
Abastecimiento de Agua
Radar
Algoritmo
spellingShingle Climatología
Lluvia
Abastecimiento de Agua
Radar
Algoritmo
Climatología
Lluvia
Abastecimiento de Agua
Radar
Algoritmo
Aybar Camacho, Cesar Luis
Fernández, C.
Huerta, Adrian
Lavado-Casimiro, W.
Vega-Jácome, Fiorella
Felipe-Obando, Oscar
Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day
description 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.
format info:eu-repo/semantics/article
topic_facet Climatología
Lluvia
Abastecimiento de Agua
Radar
Algoritmo
author Aybar Camacho, Cesar Luis
Fernández, C.
Huerta, Adrian
Lavado-Casimiro, W.
Vega-Jácome, Fiorella
Felipe-Obando, Oscar
author_facet Aybar Camacho, Cesar Luis
Fernández, C.
Huerta, Adrian
Lavado-Casimiro, W.
Vega-Jácome, Fiorella
Felipe-Obando, Oscar
author_sort Aybar Camacho, Cesar Luis
title Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day
title_short Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day
title_full Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day
title_fullStr Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day
title_full_unstemmed Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day
title_sort construction of a high-resolution gridded rainfall dataset for peru from 1981 to the present day
publisher Taylor and Francis
url https://hdl.handle.net/20.500.12542/288
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