Comparison results for the CFSv2 hindcasts and statistical downscaling over the northeast of Brazil

Silva, G. A. M.; Mendes, D.

doi:https://doi.org/10.5194/adgeo-35-79-2013

Articles | Volume 35

https://doi.org/10.5194/adgeo-35-79-2013

© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/adgeo-35-79-2013

© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 35

25 Jul 2013

| 25 Jul 2013

Comparison results for the CFSv2 hindcasts and statistical downscaling over the northeast of Brazil

G. A. M. Silva and D. Mendes

Related authors

Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America

T. Soares dos Santos, D. Mendes, and R. Rodrigues Torres

Nonlin. Processes Geophys., 23, 13–20, https://doi.org/10.5194/npg-23-13-2016,https://doi.org/10.5194/npg-23-13-2016, 2016

Short summary

Cited articles

Bombardi, J. B. and Carvalho, L. M. V.: The South Atlantic dipole and variations in the characteristics of the South American Monsoon in the WCRP-CMIP3 multi-model simulations, Clim. Dynam., 36, 2091–2102, https://doi.org/10.1007/s00382-010-0836-9, 2010.

Cardoso, A. O. and da Silva Dias, P. L.: Variabilidade da TSM do Atlântico e Pacífico e temperatura na cidade de São Paulo no inverno, Brazilian Journal of Meteorology, 19(2), 113–122, 2004 (in Portuguese).

Chan, S., Behera, S., and Yamagata, T.: Indian Ocean dipole influence on South American rainfall, Geophys. Res. Lett., 35(14), L14S12, https://doi.org/10.1029/2008GL034204, 2008.

Gardner, M. W. and Dorling, S. R.: Artificial neural networks (the multilayer perceptron) – A review of applications in the Atmospheric Sciences, Atmos. Environ., 32(14–15), 2627–2636, 1998.

Haarsma, R. J., Campos, E. J. D., and Molteni, F.: Atmospheric response to South Atlantic SST dipole, Geophys. Res. Lett., 30, 1864, https://doi.org/10.1029/2003GL017829, 2003.