| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | QABCDSTQQW/468R6KS | |||
| Repositório | urlib.net/www/2022/01.25.13.16 | |||
| Última Atualização | 2022:12.02.17.57.06 (UTC) simone | |||
| Repositório de Metadados | urlib.net/www/2022/01.25.13.16.55 | |||
| Última Atualização dos Metadados | 2023:01.03.16.46.28 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| Chave de Citação | BrescianiBoiaFerrHerd:2022:SoAtCo | |||
| Título | The South Atlantic Convergence Zone Represented by BAM Model Simulations  | |||
| Ano | 2022 | |||
| Data de Acesso | 29 jun. 2024 | |||
| Tipo Secundário | PRE CI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 293 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Bresciani, Caroline 2 Boiaski, Nathalie Tissot 3 Ferraz, Simone Teleginski 4 Herdies, Dirceu Luís | |||
| Identificador de Curriculo | 1 2 3 4 8JMKD3MGP5W/3C9JGTU | |||
| Grupo | 1 MET-MET-DIPGR-INPE-MCTI-GOV-BR 2 3 4 DIMNT-CGCT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Federal de Santa Maria (UFSM) 3 Universidade Federal de Santa Maria (UFSM) 4 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Endereço de e-Mail do Autor | 1 2 3 4 dirceu.herdies@inpe.br | |||
| Nome do Evento | American Meteorological Society Annual Meeting, 102 | |||
| Localização do Evento | Houston, Texas | |||
| Data | 23-27 jan. 2022 | |||
| Editora (Publisher) | AMS | |||
| Histórico (UTC) | 2022-01-25 13:18:56 :: simone -> administrator :: 2022 2022-07-08 16:51:17 :: administrator -> simone :: 2022 2022-12-02 17:57:07 :: simone -> administrator :: 2022 2023-01-03 16:46:28 :: administrator -> simone :: 2022 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo de Versão | publisher | |||
| Resumo | The South Atlantic Convergence Zone (SACZ) has been subjectively defined as a band of cloudiness from the intense convection over the Amazon basin extending toward southeast Brazil, that is one of the main components of the South American monsoon system. The SACZ represents a region of deep convection, causing heavy precipitation events in the region for at least 4 days. The precipitation that occurs during the months of October to March is essential for maintaining the climate of the Southeast, Midwest and North of Brazil. Because of this, SACZ is an important climatological feature of the austral summer in Brazil. Its non-occurrence can cause problems of water scarcity, decrease of the water reservoirs and in the energy supply. On the other hand, the occurrence of excessive SACZ events are also harmful to society and economy. Extreme precipitation events associated with SACZ have been known by the population for decades, due to records of floods, cuts in energy supply, for example. During the same period, two other systems act simultaneously in the South America, at the 200hPa level, a high pressure system over the Bolivian, the Bolivian High and a cyclonic vortex over the Northeast Region of Brazil. Therefore, the representation of SACZ precipitation is very complex and the need for numerical models calibrated according to the atmospheric conditions of the region to be analyzed is increasing. Thinking on this, researchers from the National Institute for Space Research (INPE) have been developing the Brazilian Global Atmospheric Model (BAM), that is the atmosphere component of the Brazilian Earth System Model (BESM) in order to improve weather and climate forecasting simulations and climate change studies. The BAM is a semi-implicit Eulerian spectral model (BAMb-SL version) with approximately 1.0° x 1.0° of horizontal resolution. The model has been improved by researchers and students from Brazilian institutions who assist in the analysis of BAM simulations, and thus adapt the necessary parameters to improve the simulations of atmospheric systems operating in Brazil. With the importance of SACZ in mind and the need to improve its prediction, this study aims to analyze the climatology of SACZ through simulations of the BAM model in the period between 1992 to 2015, in which 56 SACZ event were recorded. BAM simulations will be compared with observed and reanalysis data, in order to evaluate the performance of BAM simulating ZCAS. The data that will used in this study is the BAM simulations of the variables precipitation, 200-hPa wind, outgoing longwave radiation, and 850-hPa specific humidity, daily observed precipitation data of Brazil from the National Institute of Meteorology (INMET), the National Water Agency (ANA) and the Department of Water and Electric Energy of São Paulo (DAEE), interpolated in high spatial resolution (0.25° x 0.25°), outgoing longwave radiation from Climate Prediction Center do National Oceanic and Atmospheric Administration (CPC NOAA) and 200-hPa wind and specific humidity at the level of 850-hPa from ERA-Interim of the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis. The analyzes were obtained from statistical methods, with the mean and monthly standard deviation of the accumulated precipitation, and mean monthly of the outgoing longwave radiation, 200-hPa wind and specific humidity at the level of 850hPa, applied which data sets that were explained. Overall, the initial results showed a good agreement between the two sets. The average precipitation accumulated in the 56 SACZ events recorded by the observed data were between 64-100 mm/event in central of Brazil, with the maximum values were observed in the northern region of the country. The average accumulated precipitation presented by the model simulations represented the spatial distribution of precipitation, the precipitation maximums (40-80mm/event) in the central region of the Brazil were characterizing the SACZ, but these values were lower compared to those observed. The lowest OLR values presented by the reanalyses on the central region of the Brazil characterizes the SACZ position, with values between 185 and 217 W/m², whereas the simulations was an minimum of 243 W/m² in the central region of Brazil. The other variables are still being analyzed. With the results obtained untill now, it is possible to say that, although the magnitude of each variable is underestimated, the simulations showed a good level of agreement between the data sets in the spatial representation of the variables analyzed in the 56 SACZ events. | |||
| Área | MET | |||
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > The South Atlantic... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > The South Atlantic... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| URL dos dados | http://mtc-m21d.sid.inpe.br/ibi/QABCDSTQQW/468R6KS | |||
| URL dos dados zipados | http://mtc-m21d.sid.inpe.br/zip/QABCDSTQQW/468R6KS | |||
| Idioma | en | |||
| Arquivo Alvo | EGU22-4723-print.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F35TRS 8JMKD3MGPCW/46KUATE | |||
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.44.41 3 sid.inpe.br/bibdigital/2013/10.15.01.34 2 | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist booktitle callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||