Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 2
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Evaluation of CNRM Earth System Model, CNRM-ESM2-1: Role of Earth System Processes in Present-Day and Future Climate ArchiMer
Seferian, Roland; Nabat, Pierre; Michou, Martine; Saint-martin, David; Voldoire, Aurore; Colin, Jeanne; Decharme, Bertrand; Delire, Christine; Berthet, Sarah; Chevallier, Matthieu; Senesi, Stephane; Franchisteguy, Laurent; Vial, Jessica; Mallet, Marc; Joetzjer, Emilie; Geoffroy, Olivier; Gueremy, Jean-francois; Moine, Marie-pierre; Msadek, Rym; Ribes, Aurelien; Rocher, Matthias; Roehrig, Romain; Salas-y-melia, David; Sanchez, Emilia; Terray, Laurent; Valcke, Sophie; Waldman, Robin; Aumont, Olivier; Bopp, Laurent; Deshayes, Julie; Ethe, Christian; Madec, Gurvan.
This study introduces CNRM-ESM2-1, the Earth system (ES) model of second generation developed by CNRM-CERFACS for the sixth phase of the Coupled Model Intercomparison Project (CMIP6). CNRM-ESM2-1 offers a higher model complexity than the Atmosphere-Ocean General Circulation Model CNRM-CM6-1 by adding interactive ES components such as carbon cycle, aerosols, and atmospheric chemistry. As both models share the same code, physical parameterizations, and grid resolution, they offer a fully traceable framework to investigate how far the represented ES processes impact the model performance over present-day, response to external forcing and future climate projections. Using a large variety of CMIP6 experiments, we show that represented ES processes impact more...
Tipo: Text
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00676/78800/81052.pdf
Imagem não selecionada

Imprime registro no formato completo
Chaotic Variability of Ocean: Heat Content Climate-Relevant Features and Observational Implications ArchiMer
Penduff, Thierry; Serazin, Guillaume; Leroux, Stephanie; Close, Sally; Molines, Jean-marc; Barnier, Bernard; Bessieres, Laurent; Terray, Laurent; Maze, Guillaume.
Global ocean models that admit mesoscale turbulence spontaneously generate a substantial interannual-to-multidecadal chaotic intrinsic variability in the absence of atmospheric forcing variability at these timescales. is phenomenon is substantially weaker in non-turbulent ocean models but provides a marked stochastic avor to the low-frequency variability in eddying ocean models, which are being cou- pled to the atmosphere for next-generation climate projections. In order to disentangle the atmospherically forced and intrinsic ocean variabilities, the OCCIPUT (OceaniC Chaos – ImPacts, strUcture, predicTability) project performed a long (1960–2015), large ensemble (50 members) of global ocean/sea ice 1/4° simulations driven by the same atmospheric...
Tipo: Text
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00448/55959/57440.pdf
Registros recuperados: 2
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional