The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective

dc.contributor.authorValdivia Prado, Jairo Michael
dc.contributor.authorGatlin, Patrick N.
dc.contributor.authorKumar, Shailendra
dc.contributor.authorScipión, Danny
dc.contributor.authorSilva Vidal, Yamina
dc.contributor.authorPetersen, Walter A.
dc.coverage.spatialHuancayo
dc.coverage.spatialAndes
dc.date.accessioned2022-11-23T12:15:58Z
dc.date.available2022-11-23T12:15:58Z
dc.date.issued2022-04-26
dc.description.abstractA vertically pointing Ka-band radar (Metek MIRA-35C) installed at the Instituto Geofísico del Perú, Atmospheric Microphysics and Radiation Laboratory (LAMAR) Huancayo Observatory, which is located at an elevation of 3.3 km MSL in the Andes Mountains of Peru, is used to investigate the effects of terrain on satellite-based precipitation measurement in the Andes. We compare the vertical structure of precipitation observed by the MIRA-35C with Ka-band radar measurements from the Dual-Frequency Precipitation Radar (DPR) on board the Global Precipitation Measurement (GPM) mission core satellite using an approach based on Taylor’s hypothesis of frozen turbulence that attempts to reduce the impact of spatiotemporal offsets between these two radar measurements. From 3 April 2014 to 20 May 2018, the DPR measured precipitation near LAMAR during 15 of its 157 coincident overpasses. There were six simultaneous observations with MIRA-35C. We found that the average of the DPR’s lowest clutter-free bin is 1.62 km AGL, but the presence of precipitation worsens the situation, causing a 0.4-km-deeper algorithm-detected blind zone for the DPR at the Huancayo Observatory. In the study area, the depth of the clutter layer observed with DPR often extends above the melting layer but can be highly variable, extending even as high as 5 km AGL. These results suggest that DPR estimates of stratiform precipitation over the Andes Mountains are likely underestimated because of the terrain effects on the satellite measurements and problems in its blind zone detection algorithms, highlighting the difficulty in estimating precipitation in mountainous terrain from spaceborne radar.
dc.description.peer-reviewPor pares
dc.formatapplication/pdf
dc.identifier.citationValdivia, J. M., Gatlin, P. N., Kumar, S., Scipión, D., Silva, Y., & Petersen, W. A. (2022). The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective.==$Journal of Applied Meteorology and Climatology, 61$==(4), 441-456. https://doi.org/10.1175/JAMC-D-20-0211.1
dc.identifier.doihttps://doi.org/10.1175/JAMC-D-20-0211.1
dc.identifier.govdocindex-oti2018
dc.identifier.journalJournal of Applied Meteorology and Climatology
dc.identifier.urihttp://hdl.handle.net/20.500.12816/5317
dc.language.isoeng
dc.publisherAmerican Meteorological Society
dc.relation.ispartofurn:issn:1558-8424
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDrop size distribution
dc.subjectIn situ atmospheric observations
dc.subjectOrographic effects
dc.subjectProfilers atmospheric
dc.subjectRadars/radar observations
dc.subjectSatellite observations
dc.subjectLAMAR
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.05.09
dc.titleThe GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
dc.typeinfo:eu-repo/semantics/article

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