Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru

The life cycle of clouds consists of mainly into three phases, namely developing, mature, and dissipating phases. The information about the vertical structure of the precipitation during different phases of development will improve their representation in the cloud models. Whether specific regimes o...

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Autores: Kumar, S., Castillo-Velarde C.D., Flores Rojas J.L., Moya-Álvarez A., Martínez Castro D., Srivastava S., Silva Y.
Tipo de recurso: artículo
Fecha de publicación:2020
País:Perú
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Idioma:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2649
Acceso en línea:https://hdl.handle.net/20.500.12390/2649
https://doi.org/10.1080/15481603.2020.1843846
Access Level:acceso abierto
Palabra clave:radar reflectivity factor
Andes
DSD parameters
GOES satellite
GPM
orography
precipitation radar
http://purl.org/pe-repo/ocde/ford#1.05.10
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oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/2649
network_acronym_str PE
network_name_str Perú
repository_id_str
dc.title.none.fl_str_mv Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
title Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
spellingShingle Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
Kumar, S.
radar reflectivity factor
Andes
DSD parameters
GOES satellite
GPM
orography
precipitation radar
http://purl.org/pe-repo/ocde/ford#1.05.10
title_short Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
title_full Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
title_fullStr Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
title_full_unstemmed Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
title_sort Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru
dc.creator.none.fl_str_mv Kumar, S.
Castillo-Velarde C.D.
Flores Rojas J.L.
Moya-Álvarez A.
Martínez Castro D.
Srivastava S.
Silva Y.
author Kumar, S.
author_facet Kumar, S.
Castillo-Velarde C.D.
Flores Rojas J.L.
Moya-Álvarez A.
Martínez Castro D.
Srivastava S.
Silva Y.
author_role author
author2 Castillo-Velarde C.D.
Flores Rojas J.L.
Moya-Álvarez A.
Martínez Castro D.
Srivastava S.
Silva Y.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv radar reflectivity factor
topic radar reflectivity factor
Andes
DSD parameters
GOES satellite
GPM
orography
precipitation radar
http://purl.org/pe-repo/ocde/ford#1.05.10
dc.subject.es_PE.fl_str_mv Andes
DSD parameters
GOES satellite
GPM
orography
precipitation radar
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.10
description The life cycle of clouds consists of mainly into three phases, namely developing, mature, and dissipating phases. The information about the vertical structure of the precipitation during different phases of development will improve their representation in the cloud models. Whether specific regimes over Peru favor the formation or decay of the cloud systems and how their intensity varies during different phases of development will provide the insight into the precipitation structure over Peru. We used two satellite-based data, namely from Global Precipitation Measurement dual Precipitation Radar (GPM-DPR) and GOES (Geostationary Operational Environmental Satellite) to expose the vertical structure of precipitation during different phases of the precipitating cloud systems (PCSs). A PCS is defined using the GPM based near surface rainfall data and then GOES-based brightness temperature (BT) is used to identify a specific phase of PCS. In particular 9 hours of BT (e.g., time series of BT) data for a GPM DPR overpass is used to a specific phase of PCS. Once, all the PCSs are identified into a specific phase, their statistical properties are studied. The highest convective fraction area (~26%) and near surface rain rate (RR; 4.97 mm hr?1) are observed in developing phase of PCSs. Also, the convective fraction area and near surface RR decreases as cloud matures, and, least convective fraction area and RR (~4.11 mm hr?1) are observed in dissipating phase PCSs. The vertical structure of precipitation consists of more complex relation among different phases of PCSs. The vertical distributors of hydrometeors (e.g., radar reflectivity, RR, and DSD parameters) during various phases have different characteristics above and below the freezing height (~5 km). For example, convective precipitation has small concentration of higher sized hydrometeors below the freezing height, whereas mature has PCSs show different behavior. The total amount of water analysis shows that liquid and ice water amount varies during different phases and affect the rainfall characteristics. It is observed that precipitation characteristics during different phases are influenced by the Andes Mountain and developing phase PCSs have higher sized of hydrometeors with higher near surface RR at the north-eastern continent of Peru. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2649
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/15481603.2020.1843846
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85096839813
url https://hdl.handle.net/20.500.12390/2649
https://doi.org/10.1080/15481603.2020.1843846
identifier_str_mv 2-s2.0-85096839813
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv GIScience and Remote Sensing
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Bellwether Publishing, Ltd.
publisher.none.fl_str_mv Bellwether Publishing, Ltd.
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1863013016896798720
spelling Publicationrp05804600rp06840600rp06486600rp06695600rp06839600rp06838600rp023866002024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2649https://doi.org/10.1080/15481603.2020.18438462-s2.0-85096839813The life cycle of clouds consists of mainly into three phases, namely developing, mature, and dissipating phases. The information about the vertical structure of the precipitation during different phases of development will improve their representation in the cloud models. Whether specific regimes over Peru favor the formation or decay of the cloud systems and how their intensity varies during different phases of development will provide the insight into the precipitation structure over Peru. We used two satellite-based data, namely from Global Precipitation Measurement dual Precipitation Radar (GPM-DPR) and GOES (Geostationary Operational Environmental Satellite) to expose the vertical structure of precipitation during different phases of the precipitating cloud systems (PCSs). A PCS is defined using the GPM based near surface rainfall data and then GOES-based brightness temperature (BT) is used to identify a specific phase of PCS. In particular 9 hours of BT (e.g., time series of BT) data for a GPM DPR overpass is used to a specific phase of PCS. Once, all the PCSs are identified into a specific phase, their statistical properties are studied. The highest convective fraction area (~26%) and near surface rain rate (RR; 4.97 mm hr?1) are observed in developing phase of PCSs. Also, the convective fraction area and near surface RR decreases as cloud matures, and, least convective fraction area and RR (~4.11 mm hr?1) are observed in dissipating phase PCSs. The vertical structure of precipitation consists of more complex relation among different phases of PCSs. The vertical distributors of hydrometeors (e.g., radar reflectivity, RR, and DSD parameters) during various phases have different characteristics above and below the freezing height (~5 km). For example, convective precipitation has small concentration of higher sized hydrometeors below the freezing height, whereas mature has PCSs show different behavior. The total amount of water analysis shows that liquid and ice water amount varies during different phases and affect the rainfall characteristics. It is observed that precipitation characteristics during different phases are influenced by the Andes Mountain and developing phase PCSs have higher sized of hydrometeors with higher near surface RR at the north-eastern continent of Peru. © 2020 Informa UK Limited, trading as Taylor & Francis Group.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengBellwether Publishing, Ltd.GIScience and Remote Sensinginfo:eu-repo/semantics/openAccessradar reflectivity factorAndes-1DSD parameters-1GOES satellite-1GPM-1orography-1precipitation radar-1http://purl.org/pe-repo/ocde/ford#1.05.10-1Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peruinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTECKumar, S.Castillo-Velarde C.D.Flores Rojas J.L.Moya-Álvarez A.Martínez Castro D.Srivastava S.Silva Y.20.500.12390/2649oai:repositorio.concytec.gob.pe:20.500.12390/26492024-05-30 16:10:10.842http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="721282d6-04bb-4fde-b621-87ebcd25b0fe"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru</Title> <PublishedIn> <Publication> <Title>GIScience and Remote Sensing</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1080/15481603.2020.1843846</DOI> <SCP-Number>2-s2.0-85096839813</SCP-Number> <Authors> <Author> <DisplayName>Kumar, S.</DisplayName> <Person id="rp05804" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Castillo-Velarde C.D.</DisplayName> <Person id="rp06840" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Flores Rojas J.L.</DisplayName> <Person id="rp06486" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Moya-Álvarez A.</DisplayName> <Person id="rp06695" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Martínez Castro D.</DisplayName> <Person id="rp06839" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Srivastava S.</DisplayName> <Person id="rp06838" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Silva Y.</DisplayName> <Person id="rp02386" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Bellwether Publishing, Ltd.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>radar reflectivity factor</Keyword> <Keyword>Andes</Keyword> <Keyword>DSD parameters</Keyword> <Keyword>GOES satellite</Keyword> <Keyword>GPM</Keyword> <Keyword>orography</Keyword> <Keyword>precipitation radar</Keyword> <Abstract>The life cycle of clouds consists of mainly into three phases, namely developing, mature, and dissipating phases. The information about the vertical structure of the precipitation during different phases of development will improve their representation in the cloud models. Whether specific regimes over Peru favor the formation or decay of the cloud systems and how their intensity varies during different phases of development will provide the insight into the precipitation structure over Peru. We used two satellite-based data, namely from Global Precipitation Measurement dual Precipitation Radar (GPM-DPR) and GOES (Geostationary Operational Environmental Satellite) to expose the vertical structure of precipitation during different phases of the precipitating cloud systems (PCSs). A PCS is defined using the GPM based near surface rainfall data and then GOES-based brightness temperature (BT) is used to identify a specific phase of PCS. In particular 9 hours of BT (e.g., time series of BT) data for a GPM DPR overpass is used to a specific phase of PCS. Once, all the PCSs are identified into a specific phase, their statistical properties are studied. The highest convective fraction area (~26%) and near surface rain rate (RR; 4.97 mm hr?1) are observed in developing phase of PCSs. Also, the convective fraction area and near surface RR decreases as cloud matures, and, least convective fraction area and RR (~4.11 mm hr?1) are observed in dissipating phase PCSs. The vertical structure of precipitation consists of more complex relation among different phases of PCSs. The vertical distributors of hydrometeors (e.g., radar reflectivity, RR, and DSD parameters) during various phases have different characteristics above and below the freezing height (~5 km). For example, convective precipitation has small concentration of higher sized hydrometeors below the freezing height, whereas mature has PCSs show different behavior. The total amount of water analysis shows that liquid and ice water amount varies during different phases and affect the rainfall characteristics. It is observed that precipitation characteristics during different phases are influenced by the Andes Mountain and developing phase PCSs have higher sized of hydrometeors with higher near surface RR at the north-eastern continent of Peru. © 2020 Informa UK Limited, trading as Taylor &amp; Francis Group.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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