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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/449CL2B
Repositorysid.inpe.br/mtc-m21c/2021/03.02.16.54   (restricted access)
Last Update2021:03.02.16.54.18 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.02.16.54.18
Metadata Last Update2022:04.03.22.28.12 (UTC) administrator
DOI10.1007/s00382-020-05508-8
ISSN0930-7575
Citation KeyCoelhoSKCGGFBCSKB:2021:EvClSi
TitleEvaluation of climate simulations produced with the Brazilian global atmospheric model version 1.2
Year2021
MonthFeb.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size12454 KiB
2. Context
Author 1 Coelho, Caio Augusto dos Santos
 2 Souza, Dayana Castilho de
 3 Kubota, Paulo Yoshio
 4 Costa, Simone Sievert da
 5 Gonçalves, Layrson de Jesus Menezes
 6 Guimarães, Bruno dos Santos
 7 Figueroa, Silvio Nilo
 8 Bonatti, José Paulo
 9 Cavalcanti, Iracema Fonseca de Albuquerque
10 Sampaio, Gilvan
11 Klingaman, Nicholas P.
12 Baker, Jessica C. A.
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JHJ7
 9 8JMKD3MGP5W/3C9JHDE
ORCID 1 0000-0002-9695-5113
Group 1 DIPTC-CGCT-INPE-MCTI-GOV-BR
 2 MET-MET-DIPGR-INPE-MCTI-GOV-BR
 3 DIMNT-CGCT-INPE-MCTI-GOV-BR
 4 DISSM-CGCT-INPE-MCTI-GOV-BR
 5 MET-MET-DIPGR-INPE-MCTI-GOV-BR
 6 CGCT-CGCT-INPE-MCTI-GOV-BR
 7 DIMNT-CGCT-INPE-MCTI-GOV-BR
 8 DIMNT-CGCT-INPE-MCTI-GOV-BR
 9 DIMNT-CGCT-INPE-MCTI-GOV-BR
10 CGCT-CGCT-INPE-MCTI-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 University of Reading
12 University of Leeds
Author e-Mail Address 1 caio.coelho@inpe.br
 2 dayana.souza@inpe.br
 3 paulo.kubota@inpe.br
 4 simone.sievert@inpe.br
 5 layrson.goncalves@inpe.br
 6 bruno.guimaraes@inpe.br
 7 silvio.figueroa@inpe.br
 8 jose.bonatti@inpe.br
 9 iracema.cavalcanti@inpe.br
10 gilvan.sampaio@inpe.br
JournalClimate Dynamics
Volume56
Number3/4
Pages873-898
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_ENGENHARIAS_I A2_ASTRONOMIA_/_FÍSICA B1_CIÊNCIA_DA_COMPUTAÇÃO
History (UTC)2021-03-02 16:54:18 :: simone -> administrator ::
2021-03-02 16:54:20 :: administrator -> simone :: 2021
2021-03-02 17:07:53 :: simone -> administrator :: 2021
2022-04-03 22:28:12 :: administrator -> simone :: 2021
3. Content and structure
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Content TypeExternal Contribution
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AbstractThis paper presents an evaluation of climate simulations produced by the Brazilian Global Atmospheric Model version 1.2 (BAM-1.2) of the Center for Weather Forecast and Climate Studies (CPTEC). The model was run over the 19752017 period at two spatial resolutions, corresponding to ~ 180 and ~ 100 km, both with 42 vertical levels, following most of the Atmospheric Model Intercomparison Project (AMIP) protocol. In this protocol, observed sea surface temperatures (SSTs) are used as boundary conditions for the atmospheric model. Four ensemble members were run for each of the two resolutions. A series of diagnostics was computed for assessing the models ability to represent the top of the atmosphere (TOA) radiation, atmospheric temperature, circulation and precipitation climatological features. The representation of precipitation interannual variability, El Niño-Southern Oscillation (ENSO) precipitation teleconnections, the Madden and Julian Oscillation (MJO) and daily precipitation characteristics was also assessed. The model at both resolutions reproduced many observed temperature, atmospheric circulation and precipitation climatological features, despite several identified biases. The model atmosphere was found to be more transparent than the observations, leading to misrepresentation of cloud-radiation interactions. The net cloud radiative forcing, which produces a cooling effect on the global mean climate at the TOA, was well represented by the model. This was found to be due to the compensation between both weaker longwave cloud radiative forcing (LWCRF) and shortwave cloud radiative forcing (SWCRF) in the model compared to the observations. The model capability to represent inter-annual precipitation variability at both resolutions was found to be linked to the adequate representation of ENSO teleconnections. However, the model produced weaker than observed convective activity associated with the MJO. Light daily precipitation over the southeast of South America and other climatologically similar regions was diagnosed to be overestimated, and heavy daily precipitation underestimated by the model. Increasing spatial resolution helped to slightly reduce some of the diagnosed biases. The performed evaluation identified model aspects that need to be improved. These include the representation of polar continental surface and sea ice albedo, stratospheric ozone, low marine clouds, and daily precipitation features, which were found to be larger and last longer than the observed features.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Evaluation of climate...
Arrangement 2urlib.net > BDMCI > Fonds > Acervo PIBIC/PIBITI > PIBIC/PIBITI 2010 > Evaluation of climate...
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Languageen
Target FileCoelho2021_Article_EvaluationOfClimateSimulations.pdf
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5. Allied materials
Next Higher Units8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 3
sid.inpe.br/bibdigital/2013/10.15.01.34 2
sid.inpe.br/mtc-m21/2012/07.13.14.50.18 1
DisseminationWEBSCI; PORTALCAPES; AGU; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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