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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3RDKRT8
Repositóriosid.inpe.br/mtc-m21c/2018/07.06.12.01   (acesso restrito)
Última Atualização2018:07.06.12.01.28 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/07.06.12.01.28
Última Atualização dos Metadados2021:01.03.02.11.19 (UTC) administrator
DOI10.1016/j.atmosres.2018.06.011
ISSN0169-8095
Chave de CitaçãoCostaMachKumm:2018:ExMiRa
TítuloAn examination of microwave rainfall retrieval biases and their characteristics over the Amazon
Ano2018
MêsNov.
Data de Acesso29 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5014 KiB
2. Contextualização
Autor1 Costa, Izabelly Carvalho da
2 Machado, Luiz Augusto Toledo
3 Kummerow, Christian
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHMS
Grupo1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Colorado State University
Endereço de e-Mail do Autor1 izabelly.costa@inpe.br
2 luiz.machado@inpe.br
RevistaAtmospheric Research
Volume213
Páginas323-330
Nota SecundáriaA1_INTERDISCIPLINAR A1_CIÊNCIAS_AMBIENTAIS A2_GEOCIÊNCIAS A2_CIÊNCIAS_AGRÁRIAS_I B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_ENGENHARIAS_IV B1_ENGENHARIAS_III B1_ENGENHARIAS_II B1_BIODIVERSIDADE B2_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2018-07-06 12:01:28 :: simone -> administrator ::
2018-07-06 12:01:29 :: administrator -> simone :: 2018
2018-07-06 12:01:54 :: simone -> administrator :: 2018
2019-01-04 16:57:06 :: administrator -> simone :: 2018
2019-01-07 14:14:34 :: simone -> administrator :: 2018
2021-01-03 02:11:19 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveSatellite rainfall estimation
Passive microwave rainfall estimation
Satellite rainfall estimation errors
ResumoEstimates of surface precipitation obtained from passive microwave sensors over land are closely related to the ice path present in the clouds. However, there are cloud types without any ice or with an ice layer not thick enough to justify the associated rainfall. For these cloud types, the precipitation is not estimated correctly, causing an underestimation of the precipitation. On the other hand, there are cases of deep clouds, in which the signal produced by ice scattering is not effectively associated with precipitation, producing, in turn, an overestimate of rainfall. This study analyzes cases that have large errors in the rainfall estimates obtained from passive microwave data to better understand and potentially mitigate these biases. This study uses data from the Tropical Rainfall Measuring Mission (TRMM) satellite, specifically the Precipitation Radar (PR), TRMM Microwave Imager (TMI) and Lightning Imaging Sensor (LIS). Ten years of TRMM data (2002−2011) are used in the analysis. The study area is approximately 1,110,000 km2, centered on the city of Manaus in the Amazon region. The error distribution resembled a Gaussian distribution. The error population was then divided into three categories, one class denominated as consistent, in the center of the distribution (20 percentile to 80 percentile), and the others two, as under- and over-estimated populations, representing the tails of the distribution. For under- and over-estimated categories, the vertical structure of the clouds was evaluated. The underestimation error is correlated with almost all cloud properties (rain rate, cloud top, Liquid Water path (LWP), Ice Water Path (IWP), polarization and Polarization Corrected Temperature at 85 GHZ (PCT85)) while the overestimation error is only function of the IWP. The use of combinations of low and high frequency channels was able to identify some characteristics associated with under- and over-estimated cases. A high positive difference between the 10 GHz and 85 GHz as well as 19 GHz 85 GHz is characteristic of very high scattering at 85 GHz (high amount of ice) and small liquid water amounts corresponding to cases that are often overestimated by the radiometer. On the other hand, underestimated cases have smaller ice particles that are not sensitive to the high frequency microwaves channels measured by TMI. These results open potential new avenues to improve the quality of passive microwave rainfall estimates.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvocosta_examination.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SQKNE
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 7
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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