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

Descripción del Articulo

A 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 ter...

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Detalles Bibliográficos
Autores: Valdivia Prado, Jairo Michael, Gatlin, Patrick N., Kumar, Shailendra, Scipión, Danny, Silva Vidal, Yamina, Petersen, Walter A.
Formato: artículo
Fecha de Publicación:2022
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/5317
Enlace del recurso:http://hdl.handle.net/20.500.12816/5317
https://doi.org/10.1175/JAMC-D-20-0211.1
Nivel de acceso:acceso abierto
Materia:Drop size distribution
In situ atmospheric observations
Orographic effects
Profilers atmospheric
Radars/radar observations
Satellite observations
LAMAR
https://purl.org/pe-repo/ocde/ford#1.05.09
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network_name_str IGP-Institucional
repository_id_str 4701
dc.title.none.fl_str_mv The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
title The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
spellingShingle The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
Valdivia Prado, Jairo Michael
Drop size distribution
In situ atmospheric observations
Orographic effects
Profilers atmospheric
Radars/radar observations
Satellite observations
LAMAR
https://purl.org/pe-repo/ocde/ford#1.05.09
title_short The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
title_full The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
title_fullStr The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
title_full_unstemmed The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
title_sort The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective
author Valdivia Prado, Jairo Michael
author_facet Valdivia Prado, Jairo Michael
Gatlin, Patrick N.
Kumar, Shailendra
Scipión, Danny
Silva Vidal, Yamina
Petersen, Walter A.
author_role author
author2 Gatlin, Patrick N.
Kumar, Shailendra
Scipión, Danny
Silva Vidal, Yamina
Petersen, Walter A.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Valdivia Prado, Jairo Michael
Gatlin, Patrick N.
Kumar, Shailendra
Scipión, Danny
Silva Vidal, Yamina
Petersen, Walter A.
dc.subject.none.fl_str_mv Drop size distribution
In situ atmospheric observations
Orographic effects
Profilers atmospheric
Radars/radar observations
Satellite observations
LAMAR
topic Drop size distribution
In situ atmospheric observations
Orographic effects
Profilers atmospheric
Radars/radar observations
Satellite observations
LAMAR
https://purl.org/pe-repo/ocde/ford#1.05.09
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.09
description A 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.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-11-23T12:15:58Z
dc.date.available.none.fl_str_mv 2022-11-23T12:15:58Z
dc.date.issued.fl_str_mv 2022-04-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Valdivia, 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.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/5317
dc.identifier.journal.none.fl_str_mv Journal of Applied Meteorology and Climatology
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1175/JAMC-D-20-0211.1
identifier_str_mv Valdivia, 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
index-oti2018
Journal of Applied Meteorology and Climatology
url http://hdl.handle.net/20.500.12816/5317
https://doi.org/10.1175/JAMC-D-20-0211.1
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1558-8424
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 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 MichaelGatlin, Patrick N.Kumar, ShailendraScipión, DannySilva Vidal, YaminaPetersen, Walter A.HuancayoAndes2022-11-23T12:15:58Z2022-11-23T12:15:58Z2022-04-26Valdivia, 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-20-0211.1index-oti2018http://hdl.handle.net/20.500.12816/5317Journal of Applied Meteorology and Climatologyhttps://doi.org/10.1175/JAMC-D-20-0211.1A 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.Por paresapplication/pdfengAmerican Meteorological Societyurn:issn:1558-8424info:eu-repo/semantics/openAccessDrop size distributionIn situ atmospheric observationsOrographic effectsProfilers atmosphericRadars/radar observationsSatellite observationsLAMARhttps://purl.org/pe-repo/ocde/ford#1.05.09The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspectiveinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALValdivia_et_al_2022_J._Appl._Meteorol._Climatol..pdfapplication/pdf3852973https://repositorio.igp.gob.pe/bitstreams/8ceaa04f-553c-417c-ab0d-1ef8fb916734/download8f8dbfb40215fd38e46c341bfee77ff1MD55LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/e860a33d-27eb-484b-ad4e-f545563088a9/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTValdivia_et_al_2022_J._Appl._Meteorol._Climatol..pdf.txtValdivia_et_al_2022_J._Appl._Meteorol._Climatol..pdf.txtExtracted texttext/plain2242https://repositorio.igp.gob.pe/bitstreams/29cf0b2f-48bd-4bee-a65a-9f199433b56c/downloadf03e4db87dc8b2c5b18c680e1bae619fMD53THUMBNAILValdivia_et_al_2022_J._Appl._Meteorol._Climatol..pdf.jpgValdivia_et_al_2022_J._Appl._Meteorol._Climatol..pdf.jpgIM Thumbnailimage/jpeg76947https://repositorio.igp.gob.pe/bitstreams/136fc065-82b7-44ae-b3c5-903d0055d8be/downloadf3295fbc99263d9a8d11ca039f4b1d4cMD5420.500.12816/5317oai:repositorio.igp.gob.pe:20.500.12816/53172025-08-19 11:00:09.815open.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.peTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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