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dc.contributor.author Valdivia Prado, Jairo Michael
dc.contributor.author Scipión, Danny
dc.contributor.author Milla, Marco
dc.contributor.author Silva Vidal, Yamina
dc.date.accessioned 2020-10-01T13:30:34Z
dc.date.available 2020-10-01T13:30:34Z
dc.date.issued 2020-10
dc.identifier.citation 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 es_ES
dc.identifier.govdoc index-oti2018
dc.identifier.uri http://hdl.handle.net/20.500.12816/4852
dc.description.abstract 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. es_ES
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher American Meteorological Society es_ES
dc.relation.ispartof urn:issn:1520-0426
dc.rights info:eu-repo/semantics/closedAccess es_ES
dc.subject Atmosphere es_ES
dc.subject Drop size distribution es_ES
dc.subject Radars es_ES
dc.subject Radar observations es_ES
dc.subject Wind profilers es_ES
dc.subject Spectral analysis es_ES
dc.title Multi-instrument rainfall-rate estimation in the Peruvian Central Andes es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.09 es_ES
dc.identifier.journal Journal of Atmospheric and Oceanic Technology es_ES
dc.description.peer-review Por pares es_ES
dc.identifier.doi https://doi.org/10.1175/JTECH-D-19-0105.1 es_ES

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