Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations

Descripción del Articulo

In the present study, five-year of precipitation features (PFs) datasets, based on Global Precipitation Measurement (GPM), are used to investigate the global and regional characteristics of extreme rainfall events (EREs). The EREs are defined based on the PFs area, depth (maximum height of radar ref...

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Detalles Bibliográficos
Autores: Kumar, Shailendra, Silva Vidal, Yamina, Moya Álvarez, Aldo Saturnino, Martínez Castro, Daniel
Formato: artículo
Fecha de Publicación:2019
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/4635
Enlace del recurso:http://hdl.handle.net/20.500.12816/4635
https://doi.org/10.1155/2019/4631609
Nivel de acceso:acceso abierto
Materia:Atmospheric precipitation
Rainfall
Climatology
LAMAR
http://purl.org/pe-repo/ocde/ford#1.05.00
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
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dc.title.none.fl_str_mv Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
title Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
spellingShingle Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
Kumar, Shailendra
Atmospheric precipitation
Rainfall
Climatology
LAMAR
http://purl.org/pe-repo/ocde/ford#1.05.00
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
title_short Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
title_full Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
title_fullStr Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
title_full_unstemmed Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
title_sort Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observations
author Kumar, Shailendra
author_facet Kumar, Shailendra
Silva Vidal, Yamina
Moya Álvarez, Aldo Saturnino
Martínez Castro, Daniel
author_role author
author2 Silva Vidal, Yamina
Moya Álvarez, Aldo Saturnino
Martínez Castro, Daniel
author2_role author
author
author
dc.contributor.author.fl_str_mv Kumar, Shailendra
Silva Vidal, Yamina
Moya Álvarez, Aldo Saturnino
Martínez Castro, Daniel
dc.subject.none.fl_str_mv Atmospheric precipitation
Rainfall
Climatology
LAMAR
topic Atmospheric precipitation
Rainfall
Climatology
LAMAR
http://purl.org/pe-repo/ocde/ford#1.05.00
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.00
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
description In the present study, five-year of precipitation features (PFs) datasets, based on Global Precipitation Measurement (GPM), are used to investigate the global and regional characteristics of extreme rainfall events (EREs). The EREs are defined based on the PFs area, depth (maximum height of radar reflectivity), and the rain rate and called them largest, deepest, and intense EREs, respectively. The EREs are divided into top 10%, 1%, 0.1%, and 0.01% based on their frequency of occurrences. It is observed that occurrences of EREs belonging to less than top 0.01% EREs follow the tropical rainfall climatology over the tropics based on all the parameters. Subtropical oceanic areas consist of a higher frequency of largest EREs, whereas tropical land areas consist of the higher number of deepest EREs. The most intense EREs (top 0.01%) are uniformly distributed over tropical areas and subtropical oceans, and spatial distribution shows that a deepest ERE belongs to intense EREs in the tropical land areas. Large differences between the precipitation contribution from the largest and deepest EREs are seen; for example, the top 1% of largest EREs contribute to ∼80.7% of Earth’s precipitation, whereas the corresponding percentage for deepest EREs is only 53%. On the regional and seasonal scale, South Asia (SAsia) and South America (SA) nearly show common features, as oceanic and land areas consist of largest and deepest EREs, respectively, and contribute to higher precipitation. Subtropical latitudes over South America, including Sierra de Cordoba and La Plata basin, consist of deepest and intense EREs and match with those of the Indo-Gangetic plain over South Asia, which also shows the similar characteristics. EREs based on various parameters are strongly linked over SAsia compared to SA. For example, the largest top 10% EREs have a higher probability to be part of the top 10% deepest and intense EREs over SAsia. The seasonal and regional water budget reveals different characteristics, as in the southern hemisphere, the deeper EREs contribute to the higher fraction of rainfall, but over SAsia, the shallower EREs could also contribute to significant rainfall.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-06-24T10:27:51Z
dc.date.available.none.fl_str_mv 2019-06-24T10:27:51Z
dc.date.issued.fl_str_mv 2019-05-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.none.fl_str_mv Kumar, S., Silva, Y., Moya-Álvarez, A. S., & Martínez-Castro, D. (2019). Seasonal and Regional Differences in Extreme Rainfall Events and Their Contribution to the World’s Precipitation: GPM Observations.==$Advances in Meteorology, 2019,$==4631609. https://doi.org/10.1155/2019/4631609
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/4635
dc.identifier.journal.none.fl_str_mv Advances in Meteorology
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1155/2019/4631609
identifier_str_mv Kumar, S., Silva, Y., Moya-Álvarez, A. S., & Martínez-Castro, D. (2019). Seasonal and Regional Differences in Extreme Rainfall Events and Their Contribution to the World’s Precipitation: GPM Observations.==$Advances in Meteorology, 2019,$==4631609. https://doi.org/10.1155/2019/4631609
index-oti2018
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spelling Kumar, ShailendraSilva Vidal, YaminaMoya Álvarez, Aldo SaturninoMartínez Castro, DanielHuancayo2019-06-24T10:27:51Z2019-06-24T10:27:51Z2019-05-30Kumar, S., Silva, Y., Moya-Álvarez, A. S., & Martínez-Castro, D. (2019). Seasonal and Regional Differences in Extreme Rainfall Events and Their Contribution to the World’s Precipitation: GPM Observations.==$Advances in Meteorology, 2019,$==4631609. https://doi.org/10.1155/2019/4631609index-oti2018http://hdl.handle.net/20.500.12816/4635Advances in Meteorologyhttps://doi.org/10.1155/2019/4631609In the present study, five-year of precipitation features (PFs) datasets, based on Global Precipitation Measurement (GPM), are used to investigate the global and regional characteristics of extreme rainfall events (EREs). The EREs are defined based on the PFs area, depth (maximum height of radar reflectivity), and the rain rate and called them largest, deepest, and intense EREs, respectively. The EREs are divided into top 10%, 1%, 0.1%, and 0.01% based on their frequency of occurrences. It is observed that occurrences of EREs belonging to less than top 0.01% EREs follow the tropical rainfall climatology over the tropics based on all the parameters. Subtropical oceanic areas consist of a higher frequency of largest EREs, whereas tropical land areas consist of the higher number of deepest EREs. The most intense EREs (top 0.01%) are uniformly distributed over tropical areas and subtropical oceans, and spatial distribution shows that a deepest ERE belongs to intense EREs in the tropical land areas. Large differences between the precipitation contribution from the largest and deepest EREs are seen; for example, the top 1% of largest EREs contribute to ∼80.7% of Earth’s precipitation, whereas the corresponding percentage for deepest EREs is only 53%. On the regional and seasonal scale, South Asia (SAsia) and South America (SA) nearly show common features, as oceanic and land areas consist of largest and deepest EREs, respectively, and contribute to higher precipitation. Subtropical latitudes over South America, including Sierra de Cordoba and La Plata basin, consist of deepest and intense EREs and match with those of the Indo-Gangetic plain over South Asia, which also shows the similar characteristics. EREs based on various parameters are strongly linked over SAsia compared to SA. For example, the largest top 10% EREs have a higher probability to be part of the top 10% deepest and intense EREs over SAsia. The seasonal and regional water budget reveals different characteristics, as in the southern hemisphere, the deeper EREs contribute to the higher fraction of rainfall, but over SAsia, the shallower EREs could also contribute to significant rainfall.Este trabajo fue financiado por el Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (Fondecyt - Perú) en el marco del proyecto “MAGNET-IGP: Strengthening the research line in physics and microphysics of the atmosphere” [número de contrato 010-2017].Por paresapplication/pdfspaHindawiurn:issn:1687-9309info:eu-repo/semantics/openAccesshttps://creativecommons.org/licences/by/4.0/Atmospheric precipitationRainfallClimatologyLAMARhttp://purl.org/pe-repo/ocde/ford#1.05.00http://purl.org/pe-repo/ocde/ford#1.05.09http://purl.org/pe-repo/ocde/ford#1.05.10Seasonal and regional differences in extreme rainfall events and their contribution to the world’s precipitation: GPM observationsinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALKumar_2019_Seasonal-and-Regional-Differences-in-Extreme-Rainfall-Events.pdfKumar_2019_Seasonal-and-Regional-Differences-in-Extreme-Rainfall-Events.pdfapplication/pdf12940034https://repositorio.igp.gob.pe/bitstreams/ec3629e3-f117-4a7e-bc3c-c764cc6d4086/download22a227bd3a3fe18c9e7d1cfe4e73d47eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/33e3b42f-d22d-4c01-afea-170c6e74398f/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTKumar_2019_Seasonal-and-Regional-Differences-in-Extreme-Rainfall-Events.pdf.txtKumar_2019_Seasonal-and-Regional-Differences-in-Extreme-Rainfall-Events.pdf.txtExtracted texttext/plain65989https://repositorio.igp.gob.pe/bitstreams/1bc82126-a1d8-475f-a36e-d08ad3a308a4/download8aefdbcc9f5bb30d6d85195de2ec087aMD53THUMBNAILKumar_2019_Seasonal-and-Regional-Differences-in-Extreme-Rainfall-Events.pdf.jpgKumar_2019_Seasonal-and-Regional-Differences-in-Extreme-Rainfall-Events.pdf.jpgIM Thumbnailimage/jpeg144377https://repositorio.igp.gob.pe/bitstreams/81a1a731-0449-43e9-a31f-7dfd7da9cba4/download5f4cec25b1d6d7c797d9d293ec795b71MD5420.500.12816/4635oai:repositorio.igp.gob.pe:20.500.12816/46352024-12-18 14:19:47.548https://creativecommons.org/licences/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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