1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34T/46QP7TB |
Repositório | sid.inpe.br/mtc-m21d/2022/05.03.12.33 (acesso restrito) |
Última Atualização | 2022:05.03.12.33.22 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/05.03.12.33.22 |
Última Atualização dos Metadados | 2023:01.03.16.46.05 (UTC) administrator |
DOI | 10.1016/j.atmosres.2022.106151 |
ISSN | 0169-8095 |
Chave de Citação | ReshmiMohanSrYeRaViVe:2022:ImSSIn |
Título | Impact of SST on the intensity prediction of Extremely Severe Tropical Cyclones Fani and Amphan in the Bay of Bengal |
Ano | 2022 |
Mês | Aug. |
Data de Acesso | 18 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 34905 KiB |
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2. Contextualização | |
Autor | 1 Reshmi Mohan, P. 2 Srinivas, C. V. 3 Yesubabu, V. 4 Rao, Brahmananda Vadlamudi 5 Vittal Murthy, K. P. R. 6 Venkatraman, B. |
Grupo | 1 2 3 4 DIMNT-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Indira Gandhi Centre for Atomic Research 2 Indira Gandhi Centre for Atomic Research 3 National Atmospheric Research Laboratory 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Andhra University 6 Indira Gandhi Centre for Atomic Research |
Endereço de e-Mail do Autor | 1 2 cvsri@igcar.gov.in |
Revista | Atmospheric Research |
Volume | 273 |
Páginas | e106151 |
Nota Secundária | A1_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) | 2022-05-03 12:33:58 :: simone -> administrator :: 2022 2022-05-19 00:14:53 :: administrator -> simone :: 2022 2022-06-22 12:01:32 :: simone -> administrator :: 2022 2022-09-06 01:14:21 :: administrator -> simone :: 2022 2022-12-20 14:15:50 :: simone -> administrator :: 2022 2023-01-03 16:46:05 :: administrator -> simone :: 2022 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Rapid intensification SST Tropical cyclone Wind-shear WRF |
Resumo | This study investigates the impact of SST on the prediction of intensification / rapid intensification (RI) of two pre-monsoon Tropical Cyclones Fani (2019) and Amphan (2020) in the Bay of Bengal using convection-permitting high-resolution WRF simulations. Sensitivity experiments are conducted with SST boundary conditions derived from i) NCEP operational GFS SST analysis and forecasts (GFS), ii) NOAA real-time SST data (NOAA) iii), Climatological mean SST (CLIM). Simulations indicated a positive SST anomaly of 1.5 °C, 0.75 °C for Amphan and Fani respectively in NOAA and GFS and all simulations revealed moderate wind shear during intensification. Significant differences are found in the intensity prediction. NOAA followed by GFS predict relatively stronger TCs in response to the warm SST anomalies relative to CLIM. Results of NOAA suggest that it creates a more thermodynamically favourable environment than GFS and CLIM due to warm SST which would facilitate an intense tilt-induced asymmetric convection, stronger upper air divergence, and its interaction with the environment flow tending to reduce the shear and leading to the RI. A detailed analysis for Amphan revealed an increase of surface fluxes, stronger diabatic heating, enhanced low-level convergence and convection indicating the creation of a more favourable thermodynamic environment in NOAA compared to GFS and CLIM due to warm SST, which favors intensification/RI. The positive SST anomaly present over a large area around the cyclone in NOAA has led to larger surface enthalpy fluxes, a high θe in the lower and upper regions as well as a warmer core with strong convective updrafts all leading to a higher intensification relative to GFS and CLIM. |
Área | MET |
Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Impact of SST... |
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 | |
Idioma | en |
Arquivo Alvo | Mohan_2022_impact.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft24 |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.03.22.23 1 |
Divulgação | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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