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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/43UD66E
Repositóriosid.inpe.br/mtc-m21c/2021/01.12.14.35
Última Atualização2021:01.12.14.35.52 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/01.12.14.35.52
Última Atualização dos Metadados2022:04.03.22.28.02 (UTC) administrator
DOI10.3390/atmos12010028
ISSN2073-4433
Chave de CitaçãoAimiZBSHRRDMVBHR:2021:EvAtDo
TítuloEvaluation of atmospheric downward longwave radiation in the brazilian pampa region
Ano2021
MêsJan.
Data de Acesso02 jun. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho720 KiB
2. Contextualização
Autor 1 Aimi, Daniele
 2 Zimmer, Tamires
 3 Buligon, Lidiane
 4 Souza, Vanessa de Arruda
 5 Hernandez, Roilan
 6 Romio, Leugim Corteze
 7 Rubert, Gisele Cristina Dotto
 8 Diaz, Marcelo Bortoluzzi
 9 Maldaner, Silvana
10 Veeck, Gustavo Pujol
11 Bremm, Tiago
12 Herdies, Dirceu Luis
13 Roberti, Debora Regina
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12 8JMKD3MGP5W/3C9JGTU
ORCID 1
 2 0000-0002-2384-0630
 3
 4 0000-0002-8518-1271
 5
 6 0000-0001-5164-3792
 7 0000-0002-1805-8126
 8
 9
10
11 0000-0003-1564-1014
12 0000-0002-2872-8453
13 0000-0002-3902-0952
Grupo 1
 2
 3
 4
 5
 6
 7
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10
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12 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 Universidade Federal de Santa Maria (UFSM)
 2 Universidade Federal de Santa Maria (UFSM)
 3 Universidade Federal de Santa Maria (UFSM)
 4 Universidade Federal de Santa Maria (UFSM)
 5 Universidade Federal de Santa Maria (UFSM)
 6 Universidade Federal do Pampa (UNIPAMPA)
 7 Universidade Federal de Santa Maria (UFSM)
 8 Universidade Federal de Santa Maria (UFSM)
 9 Universidade Federal de Santa Maria (UFSM)
10 Universidade Federal de Santa Maria (UFSM)
11 Universidade Federal de Santa Maria (UFSM)
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 Universidade Federal de Santa Maria (UFSM)
Endereço de e-Mail do Autor 1 danielefm@gmail.com
 2 tz.tamireszimmer@gmail.com
 3 prof.buligon@gmail.com
 4 v.arruda.s@gmail.com
 5 roylanhv@gmail.com
 6 leugimcr@gmail.com
 7 girubert@gmail.com
 8 marbdiaz@gmail.com
 9 silvana.maldaner@gmail.com
10 veeckgp@gmail.com
11 bremm.tiago@gmail.com
12 dirceu.herdies@inpe.br
13 debora@ufsm.br
RevistaAtmosphere
Volume12
Número1
Páginas1-17
Nota SecundáriaB3_ENGENHARIAS_III B3_ENGENHARIAS_I B3_CIÊNCIAS_AMBIENTAIS B4_ENGENHARIAS_II B5_GEOCIÊNCIAS
Histórico (UTC)2021-01-12 14:35:52 :: simone -> administrator ::
2021-01-12 14:35:53 :: administrator -> simone :: 2021
2021-01-12 14:37:11 :: simone -> administrator :: 2021
2022-04-03 22:28:02 :: administrator -> simone :: 2021
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-Chaveatmospheric downward longwave radiation
Pampa biome
statistical analyses
modeling
ResumoAtmospheric downward longwave radiation flux (L↓) is a variable that directly influences the surface net radiation and consequently, weather and climatic conditions. Measurements of L↓ are scarce, and the use of classical models depending on some atmospheric variables may be an alternative. In this paper, we analyzed L↓ measured over the Brazilian Pampa biome. This region is located in a humid subtropical climate zone and characterized by well defined seasons and well distributed precipitation. Furthermore, we evaluated the performance of the eleven classical L↓ models for clear sky with one-year experimental data collected in the Santa Maria experimental site (SMA) over native vegetation and high relative humidity throughout the year. Most of the L↓ estimations, using the original coefficients, underestimated the experimental data. We performed the local calibration of the L↓ equations coefficients over an annual period and separated them into different sky cover classifications: clear sky, partly cloudy sky, and cloudy sky. The calibrations decreased the errors, especially in cloudy sky classification. We also proposed the joint calibration between the clear sky emissivity equations and cloud sky correction function to reduce errors and evaluate different sky classifications. The results found after these calibrations presented better statistical indexes. Additionally, we presented a new empirical model to estimate L↓ based on multiple regression analysis using water vapor pressure and air temperature. The new equation well represents partial and cloudy sky, even without including the cloud cover parameterization, and was validated with the following five years in SMA and two years in the Cachoeira do Sul experimental site (CAS). The new equation proposed herein presents a root mean square error ranging from 13 to 21 Wm−2 and correlation coefficient from 0.68 to 0.83 for different sky cover classifications. Therefore, we recommend using the novel equation to calculate L↓ over the Pampa biome under these specific climatic conditions.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/43UD66E
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/43UD66E
Idiomaen
Arquivo Alvoaimi_evaluation.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.44.41 5
sid.inpe.br/bibdigital/2022/04.03.22.23 4
DivulgaçãoWEBSCI; PORTALCAPES; 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 parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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