| 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/47HKB8L | |||
| Repositório | sid.inpe.br/mtc-m21d/2022/09.02.15.48 | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/09.02.15.48.41 | |||
| Última Atualização dos Metadados | 2023:01.03.16.46.15 (UTC) administrator | |||
| DOI | 10.1080/07055900.2022.2082915 | |||
| ISSN | 1480-9214 | |||
| Chave de Citação | LinQBGZZFBH:2022:AtCo | |||
| Título | Atmospheric Convection  | |||
| Ano | 2022 | |||
| Data de Acesso | 18 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| 2. Contextualização | ||||
| Autor | 1 Lin, Jialin 2 Qian, Taotao 3 Bechtold, Peter 4 Grell, Georg 5 Zhang, Guang J. 6 Zhu, Ping 7 Freitas, Saulo Ribeiro de 8 Barnes, Hannah 9 Han, Jongil | |||
| Identificador de Curriculo | 1 2 3 4 5 6 7 8JMKD3MGP5W/3C9JJ7M | |||
| Grupo | 1 2 3 4 5 6 7 DIMNT-CGCT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 The Ohio State University 2 The Ohio State University 3 European Centre for Medium-range Weather Forecast 4 NOAA Global Systems Laboratory 5 University of California 6 Florida International University 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 NOAA-CIRES Global Systems Laboratory 9 NOAA/NCEP Environmental Modeling Center | |||
| Revista | Atmosphere-Ocean | |||
| Volume | 60 | |||
| Número | 3/4 | |||
| Páginas | 422-476 | |||
| Histórico (UTC) | 2022-09-02 15:49:41 :: simone -> administrator :: 2022 2022-09-18 19:49:49 :: administrator -> simone :: 2022 2022-12-01 11:16:17 :: simone -> administrator :: 2022 2023-01-03 16:46:15 :: administrator -> simone :: 2022 | |||
| 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 | atmospheric convection convective parameterization global climate modelling weather prediction | |||
| Resumo | Convective parameterization is the long-lasting bottleneck of global climate modelling and one of the most difficult problems in atmospheric sciences. Uncertainty in convective parameterization is the leading cause of the widespread climate sensitivity in IPCC global warming projections. This paper reviews the observations and parameterizations of atmospheric convection with emphasis on the cloud structure, bulk effects, and closure assumption. The representative state-of-the-art convection schemes are presented, including the ECMWF convection scheme, the Grell scheme used in NCEP model and WRF model, the Zhang-MacFarlane scheme used in NCAR and DOE models, and parameterizations of shallow moist convection. The observed convection has self-suppression mechanisms caused by entrainment in convective updrafts, surface cold pool generated by unsaturated convective downdrafts, and warm and dry lower troposphere created by mesoscale downdrafts. The post-convection environment is often characterized by diamond sounding suggesting an over-stabilization rather than barely returning to neutral state. Then the pre-convection environment is characterized by slow moistening of lower troposphere triggered by surface moisture convergence and other mechanisms. The over-stabilization and slow moistening make the convection events episodic and decouple the middle/upper troposphere from the boundary layer, making the state-type quasi-equilibrium hypothesis invalid. Right now, unsaturated convective downdrafts and especially mesoscale downdrafts are missing in most convection schemes, while some schemes are using undiluted convective updrafts, all of which favour easily turned-on convection linked to double-ITCZ (inter-tropical convergence zone), overly weak MJO (Madden-Julian Oscillation) and precocious diurnal precipitation maximum. We propose a new strategy for convection scheme development using reanalysis-driven model experiments such as the assimilation runs in weather prediction centres and the decadal prediction runs in climate modelling centres, aided by satellite simulators evaluating key characteristics such as the lifecycle of convective cloud-top distribution and stratiform precipitation fraction. | |||
| Área | MET | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Atmospheric Convection | |||
| Conteúdo da Pasta doc | não têm arquivos | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE | |||
| Divulgação | WEBSCI; SCOPUS. | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository month nextedition notes numberoffiles orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle size sponsor subject targetfile tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||