Multi-instrument rainfall-rate estimation in the Peruvian Central Andes

Descripción del Articulo

Agriculture is one of the main economic activities in the Peruvian Andes; rainwater alone irrigates more than 80% of the fields used for agriculture purposes. However, the cloud and rain generation mechanisms in the Andes still remain mostly unknown. In early 2014, the Instituto Geofísico del Perú (...

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Detalles Bibliográficos
Autores: Valdivia Prado, Jairo Michael, Scipión, Danny, Milla, Marco, Silva Vidal, Yamina
Formato: artículo
Fecha de Publicación:2020
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/4852
Enlace del recurso:http://hdl.handle.net/20.500.12816/4852
https://doi.org/10.1175/JTECH-D-19-0105.1
Nivel de acceso:acceso abierto
Materia:Atmosphere
Drop size distribution
Radars
Radar observations
Wind profilers
Spectral analysis
LAMAR
http://purl.org/pe-repo/ocde/ford#1.05.09
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dc.title.none.fl_str_mv Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
title Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
spellingShingle Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
Valdivia Prado, Jairo Michael
Atmosphere
Drop size distribution
Radars
Radar observations
Wind profilers
Spectral analysis
LAMAR
http://purl.org/pe-repo/ocde/ford#1.05.09
title_short Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
title_full Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
title_fullStr Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
title_full_unstemmed Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
title_sort Multi-instrument rainfall-rate estimation in the Peruvian Central Andes
author Valdivia Prado, Jairo Michael
author_facet Valdivia Prado, Jairo Michael
Scipión, Danny
Milla, Marco
Silva Vidal, Yamina
author_role author
author2 Scipión, Danny
Milla, Marco
Silva Vidal, Yamina
author2_role author
author
author
dc.contributor.author.fl_str_mv Valdivia Prado, Jairo Michael
Scipión, Danny
Milla, Marco
Silva Vidal, Yamina
dc.subject.none.fl_str_mv Atmosphere
Drop size distribution
Radars
Radar observations
Wind profilers
Spectral analysis
LAMAR
topic Atmosphere
Drop size distribution
Radars
Radar observations
Wind profilers
Spectral analysis
LAMAR
http://purl.org/pe-repo/ocde/ford#1.05.09
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.09
description Agriculture is one of the main economic activities in the Peruvian Andes; rainwater alone irrigates more than 80% of the fields used for agriculture purposes. However, the cloud and rain generation mechanisms in the Andes still remain mostly unknown. In early 2014, the Instituto Geofísico del Perú (IGP) decided to intensify studies in the central Andes to better understand cloud microphysics; the Atmospheric Microphysics And Radiation Laboratory officially started operations in 2015 at IGP’s Huancayo Observatory. In this work, a Ka-band cloud profiler [cloud and precipitation profiler (MIRA-35c)], a UHF wind profiler [Clear-Air and Rainfall Estimation (CLAIRE)], and a VHF wind profiler [Boundary Layer and Tropospheric Radar (BLTR)] are used to estimate rainfall rate at different conditions. The height dependence of the drop size diameter versus the terminal velocity, obtained by the radars, in the central Andes (3350 m MSL) was evaluated. The estimates of rainfall rate are validated to ground measurements through a disdrometer [second-generation Particle, Size, and Velocity (PARSIVEL²)] and two rain gauges. The biases in the cumulative rainfall totals for the PARSIVEL², MIRA-35c, and CLAIRE were 18%, 23%, and −32%, respectively, and their respective absolute biases were 19%, 36%, and 63%. These results suggest that a real-time calibration of the radars, MIRA-35c and CLAIRE, is necessary for better estimation of precipitation at the ground. They also show that the correction of the raindrop terminal fall velocity, obtained by separating the vertical wind velocity (BLTR), used in the estimation the raindrop diameter is not sufficient, especially in convective conditions.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-10-01T13:30:34Z
dc.date.available.none.fl_str_mv 2020-10-01T13:30:34Z
dc.date.issued.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Valdivia, J. M., Scipión, D. E., Milla, M., & Silva, Y. (2020). Multi-instrument rainfall-rate estimation in the Peruvian Central Andes.==$Journal of Atmospheric and Oceanic Technology, 37$==(10), 1811–1826. https://doi.org/10.1175/JTECH-D-19-0105.1
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/4852
dc.identifier.journal.none.fl_str_mv Journal of Atmospheric and Oceanic Technology
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1175/JTECH-D-19-0105.1
identifier_str_mv Valdivia, J. M., Scipión, D. E., Milla, M., & Silva, Y. (2020). Multi-instrument rainfall-rate estimation in the Peruvian Central Andes.==$Journal of Atmospheric and Oceanic Technology, 37$==(10), 1811–1826. https://doi.org/10.1175/JTECH-D-19-0105.1
index-oti2018
Journal of Atmospheric and Oceanic Technology
url http://hdl.handle.net/20.500.12816/4852
https://doi.org/10.1175/JTECH-D-19-0105.1
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1520-0426
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Perú
Huancayo
Andes
dc.publisher.none.fl_str_mv American Meteorological Society
publisher.none.fl_str_mv American Meteorological Society
dc.source.none.fl_str_mv reponame:IGP-Institucional
instname:Instituto Geofísico del Perú
instacron:IGP
instname_str Instituto Geofísico del Perú
instacron_str IGP
institution IGP
reponame_str IGP-Institucional
collection IGP-Institucional
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spelling Valdivia Prado, Jairo MichaelScipión, DannyMilla, MarcoSilva Vidal, YaminaPerúHuancayoAndes2020-10-01T13:30:34Z2020-10-01T13:30:34Z2020-10Valdivia, J. M., Scipión, D. E., Milla, M., & Silva, Y. (2020). Multi-instrument rainfall-rate estimation in the Peruvian Central Andes.==$Journal of Atmospheric and Oceanic Technology, 37$==(10), 1811–1826. https://doi.org/10.1175/JTECH-D-19-0105.1index-oti2018http://hdl.handle.net/20.500.12816/4852Journal of Atmospheric and Oceanic Technologyhttps://doi.org/10.1175/JTECH-D-19-0105.1Agriculture is one of the main economic activities in the Peruvian Andes; rainwater alone irrigates more than 80% of the fields used for agriculture purposes. However, the cloud and rain generation mechanisms in the Andes still remain mostly unknown. In early 2014, the Instituto Geofísico del Perú (IGP) decided to intensify studies in the central Andes to better understand cloud microphysics; the Atmospheric Microphysics And Radiation Laboratory officially started operations in 2015 at IGP’s Huancayo Observatory. In this work, a Ka-band cloud profiler [cloud and precipitation profiler (MIRA-35c)], a UHF wind profiler [Clear-Air and Rainfall Estimation (CLAIRE)], and a VHF wind profiler [Boundary Layer and Tropospheric Radar (BLTR)] are used to estimate rainfall rate at different conditions. The height dependence of the drop size diameter versus the terminal velocity, obtained by the radars, in the central Andes (3350 m MSL) was evaluated. The estimates of rainfall rate are validated to ground measurements through a disdrometer [second-generation Particle, Size, and Velocity (PARSIVEL²)] and two rain gauges. The biases in the cumulative rainfall totals for the PARSIVEL², MIRA-35c, and CLAIRE were 18%, 23%, and −32%, respectively, and their respective absolute biases were 19%, 36%, and 63%. These results suggest that a real-time calibration of the radars, MIRA-35c and CLAIRE, is necessary for better estimation of precipitation at the ground. 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