Dataset on the first weather radar campaign over Lima, Perú

Descripción del Articulo

The first weather radar campaign over Lima, the capital of Peru, a desertic area on the western side of the Peruvian Andes, was carried out to study the occurrence of rain events in summer 2018. The weather radar was installed strategically and was able to overlook three river basins: Rimac, Chillón...

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Detalles Bibliográficos
Autores: Valdivia Prado, Jairo Michael, Scipión, Danny, Milla, Marco, Prado, Josep J., Espinoza, Juan C., Cordova, Darwin, Saavedra Huanca, Miguel, Villalobos Puma, Elver Edmundo, Callañaupa Gutierrez, Stephany Magaly, Silva Vidal, Yamina
Formato: artículo
Fecha de Publicación:2021
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/4940
Enlace del recurso:http://hdl.handle.net/20.500.12816/4940
https://doi.org/10.1016/j.dib.2021.106937
Nivel de acceso:acceso abierto
Materia:X-band radar
High-resolution
3D CAPPI
Complex topography
Andes data
https://purl.org/pe-repo/ocde/ford#1.05.09
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dc.title.none.fl_str_mv Dataset on the first weather radar campaign over Lima, Perú
title Dataset on the first weather radar campaign over Lima, Perú
spellingShingle Dataset on the first weather radar campaign over Lima, Perú
Valdivia Prado, Jairo Michael
X-band radar
High-resolution
3D CAPPI
Complex topography
Andes data
https://purl.org/pe-repo/ocde/ford#1.05.09
title_short Dataset on the first weather radar campaign over Lima, Perú
title_full Dataset on the first weather radar campaign over Lima, Perú
title_fullStr Dataset on the first weather radar campaign over Lima, Perú
title_full_unstemmed Dataset on the first weather radar campaign over Lima, Perú
title_sort Dataset on the first weather radar campaign over Lima, Perú
author Valdivia Prado, Jairo Michael
author_facet Valdivia Prado, Jairo Michael
Scipión, Danny
Milla, Marco
Prado, Josep J.
Espinoza, Juan C.
Cordova, Darwin
Saavedra Huanca, Miguel
Villalobos Puma, Elver Edmundo
Callañaupa Gutierrez, Stephany Magaly
Silva Vidal, Yamina
author_role author
author2 Scipión, Danny
Milla, Marco
Prado, Josep J.
Espinoza, Juan C.
Cordova, Darwin
Saavedra Huanca, Miguel
Villalobos Puma, Elver Edmundo
Callañaupa Gutierrez, Stephany Magaly
Silva Vidal, Yamina
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Valdivia Prado, Jairo Michael
Scipión, Danny
Milla, Marco
Prado, Josep J.
Espinoza, Juan C.
Cordova, Darwin
Saavedra Huanca, Miguel
Villalobos Puma, Elver Edmundo
Callañaupa Gutierrez, Stephany Magaly
Silva Vidal, Yamina
dc.subject.none.fl_str_mv X-band radar
High-resolution
3D CAPPI
Complex topography
Andes data
topic X-band radar
High-resolution
3D CAPPI
Complex topography
Andes data
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 The first weather radar campaign over Lima, the capital of Peru, a desertic area on the western side of the Peruvian Andes, was carried out to study the occurrence of rain events in summer 2018. The weather radar was installed strategically and was able to overlook three river basins: Rimac, Chillón, and Lurin. An X-band radar (PX-1000) was used, which operates at 9.55 GHz. PX-1000 was built by the Advanced Radar Research Center (ARRC) at the University of Oklahoma (U.S.A.). The radar operated from January 26th to April 1st, 2018, at Cerro Suche located 2910 m ASL and 55 km from the city of Lima. The PX-1000 performed plan-position indicators (PPI) for elevations starting at 0° up to 20°. The data presented here were obtained using a three-dimensional constant-altitude plan position-indicator (3D CAPPI), which was generated by high resolution (250 m) nearest point algorithm.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-04-30T10:39:14Z
dc.date.available.none.fl_str_mv 2021-04-30T10:39:14Z
dc.date.issued.fl_str_mv 2021-04
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., Prado, J. J., Espinoza, J. C., Cordova, D., … & Silva, Y. (2021). Dataset on the first weather radar campaign over Lima, Perú.==$Data in Brief, 35,$==106937. https://doi.org/10.1016/j.dib.2021.106937
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/4940
dc.identifier.journal.none.fl_str_mv Data in Brief
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.dib.2021.106937
identifier_str_mv Valdivia, J. M., Scipión, D. E., Milla, M., Prado, J. J., Espinoza, J. C., Cordova, D., … & Silva, Y. (2021). Dataset on the first weather radar campaign over Lima, Perú.==$Data in Brief, 35,$==106937. https://doi.org/10.1016/j.dib.2021.106937
index-oti2018
Data in Brief
url http://hdl.handle.net/20.500.12816/4940
https://doi.org/10.1016/j.dib.2021.106937
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:2352-3409
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licences/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licences/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Lima
Perú
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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, MarcoPrado, Josep J.Espinoza, Juan C.Cordova, DarwinSaavedra Huanca, MiguelVillalobos Puma, Elver EdmundoCallañaupa Gutierrez, Stephany MagalySilva Vidal, YaminaLimaPerú2021-04-30T10:39:14Z2021-04-30T10:39:14Z2021-04Valdivia, J. M., Scipión, D. E., Milla, M., Prado, J. J., Espinoza, J. C., Cordova, D., … & Silva, Y. (2021). Dataset on the first weather radar campaign over Lima, Perú.==$Data in Brief, 35,$==106937. https://doi.org/10.1016/j.dib.2021.106937index-oti2018http://hdl.handle.net/20.500.12816/4940Data in Briefhttps://doi.org/10.1016/j.dib.2021.106937The first weather radar campaign over Lima, the capital of Peru, a desertic area on the western side of the Peruvian Andes, was carried out to study the occurrence of rain events in summer 2018. The weather radar was installed strategically and was able to overlook three river basins: Rimac, Chillón, and Lurin. An X-band radar (PX-1000) was used, which operates at 9.55 GHz. PX-1000 was built by the Advanced Radar Research Center (ARRC) at the University of Oklahoma (U.S.A.). The radar operated from January 26th to April 1st, 2018, at Cerro Suche located 2910 m ASL and 55 km from the city of Lima. The PX-1000 performed plan-position indicators (PPI) for elevations starting at 0° up to 20°. The data presented here were obtained using a three-dimensional constant-altitude plan position-indicator (3D CAPPI), which was generated by high resolution (250 m) nearest point algorithm.Este trabajo fue financiado por el Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (Fondecyt - Perú) en el marco del proyecto "Sistema computacional de alto rendimiento para la simulación de fluido" [número de contrato 101-2014].Por paresapplication/pdfengElsevierurn:issn:2352-3409info:eu-repo/semantics/openAccesshttps://creativecommons.org/licences/by/4.0/X-band radarHigh-resolution3D CAPPIComplex topographyAndes datahttps://purl.org/pe-repo/ocde/ford#1.05.09Dataset on the first weather radar campaign over Lima, Perúinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALValdivia_et_al_2021_Data-in-Brief.pdfValdivia_et_al_2021_Data-in-Brief.pdfapplication/pdf613915https://repositorio.igp.gob.pe/bitstreams/4cde5912-eda4-4e48-81e9-201dc005b8b0/downloade5dc8dc5d9eec65349174cfc116102f9MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/4dc0e2ea-10e8-41ac-91bd-a834c0da7619/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTValdivia_et_al_2021_Data-in-Brief.pdf.txtValdivia_et_al_2021_Data-in-Brief.pdf.txtExtracted texttext/plain12327https://repositorio.igp.gob.pe/bitstreams/909263c8-f62c-4eb4-a465-66954bf293e3/downloadd9d06ba9831cd45d26a12243db18ab34MD53THUMBNAILValdivia_et_al_2021_Data-in-Brief.pdf.jpgValdivia_et_al_2021_Data-in-Brief.pdf.jpgIM Thumbnailimage/jpeg108183https://repositorio.igp.gob.pe/bitstreams/c5fb893f-c56d-4e6e-bc29-8645b526540b/download0150249f383518bd3baaea50170db2faMD5420.500.12816/4940oai:repositorio.igp.gob.pe:20.500.12816/49402024-10-18 10:50:38.092https://creativecommons.org/licences/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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