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Trabalho de evento-resumo
Global spatial organization of temperature extremes (2006)
Carvalho, Leila Maria Véspoli de; Tsonis, Anastasios A; Jones, C; Rocha, Humberto Ribeiro da
Source: 20 years of Nonlinear Dynamics in Geosciences: abstracts. Conference titles: Aegean Conferences. Unidade: IAG
Assunto: CLIMATOLOGIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Leila Maria Véspoli de et al. Global spatial organization of temperature extremes. 2006, Anais.. [S.l.]: Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, 2006. . Acesso em: 16 nov. 2024.
APA
Carvalho, L. M. V. de, Tsonis, A. A., Jones, C., & Rocha, H. R. da. (2006). Global spatial organization of temperature extremes. In 20 years of Nonlinear Dynamics in Geosciences: abstracts. Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo.
NLM
Carvalho LMV de, Tsonis AA, Jones C, Rocha HR da. Global spatial organization of temperature extremes. 20 years of Nonlinear Dynamics in Geosciences: abstracts. 2006 ;[citado 2024 nov. 16 ]
Vancouver
Carvalho LMV de, Tsonis AA, Jones C, Rocha HR da. Global spatial organization of temperature extremes. 20 years of Nonlinear Dynamics in Geosciences: abstracts. 2006 ;[citado 2024 nov. 16 ]
Trabalho de evento
Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction (2005)
Mlakar, Primoz; Boznar, Marija Zlata; Oliveira, Amauri Pereira; Soares, Jacyra Ramos
Source: Proceedings. Conference titles: International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Processes. Unidade: IAG
Assunto: MICROMETEOROLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MLAKAR, Primoz et al. Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. 2005, Anais.. Crete: Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, 2005. . Acesso em: 16 nov. 2024.
APA
Mlakar, P., Boznar, M. Z., Oliveira, A. P., & Soares, J. R. (2005). Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. In Proceedings. Crete: Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo.
NLM
Mlakar P, Boznar MZ, Oliveira AP, Soares JR. Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. Proceedings. 2005 ;[citado 2024 nov. 16 ]
Vancouver
Mlakar P, Boznar MZ, Oliveira AP, Soares JR. Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. Proceedings. 2005 ;[citado 2024 nov. 16 ]

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