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

dc.contributor.authorValdivia Prado, Jairo Michael
dc.contributor.authorScipión, Danny
dc.contributor.authorMilla, Marco
dc.contributor.authorSilva Vidal, Yamina
dc.coverage.spatialPerú
dc.coverage.spatialHuancayo
dc.coverage.spatialAndes
dc.date.accessioned2020-10-01T13:30:34Z
dc.date.available2020-10-01T13:30:34Z
dc.date.issued2020-10
dc.description.abstractAgriculture 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.
dc.description.peer-reviewPor pares
dc.formatapplication/pdf
dc.identifier.citationValdivia, 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.doihttps://doi.org/10.1175/JTECH-D-19-0105.1
dc.identifier.govdocindex-oti2018
dc.identifier.journalJournal of Atmospheric and Oceanic Technology
dc.identifier.urihttp://hdl.handle.net/20.500.12816/4852
dc.language.isoeng
dc.publisherAmerican Meteorological Society
dc.relation.ispartofurn:issn:1520-0426
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAtmosphere
dc.subjectDrop size distribution
dc.subjectRadars
dc.subjectRadar observations
dc.subjectWind profilers
dc.subjectSpectral analysis
dc.subjectLAMAR
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.05.09
dc.titleMulti-instrument rainfall-rate estimation in the Peruvian Central Andes
dc.typeinfo:eu-repo/semantics/article

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