CV Juha Tonttila

Title Researcher
Contact Juha.Tonttila@fmi.fi
Postal address Finnish Meteorological Institute, P.O. Box 1627, FI-70211 Kuopio, Finland
Street address Yliopistonranta 1 F, 70210 Kuopio
Phone number
Fax

Fields of expertise

  • Atmospheric Modelling

  • Aerosol-Cloud Interactions

Projects

University and other degrees

2009: MSc in Meteorology, University of Helsinki, Finland

Previous professional appointments

Other professional activities

Links

List of publications

Tonttila, J., O'Connor, E. J., Hellsten, A., Hirsikko, A., O'Dowd, C., Järvinen, H., and Räisänen, P.: Turbulent structure and scaling of the inertial subrange in a stratocumulus-topped boundary layer observed by a Doppler lidar, Atmos. Chem. Phys. Discuss., 14, 24119-24148, doi:10.5194/acpd-14-24119-2014, 2014.

Tonttila, J., Järvinen, H., and Räisänen, P.: Explicit representation of subgrid variability in cloud microphysics yields weaker aerosol indirect effect in the ECHAM5-HAM2 climate model, Atmos. Chem. Phys. Discuss., 14, 15523-15543, doi:10.5194/acpd-14-15523-2014, 2014.

Henriksson, S. V., Pietikäinen, J.-P., Hyvärinen, A.-P., Räisänen, P., Kupiainen, K., Tonttila, J., Hooda, R., Lihavainen, H., Backman, L., Klimont, Z., and Laaksonen, A.: Spatial distributions and seasonal cycles of aerosol climate effects in India seen in global climate-aerosol model, Atmos. Chem. Phys. Discuss., 13, 18031-18067, doi:10.5194/acpd-13-18031-2013, 2013.

Räisänen, P., Haapanala, P., Chung, C. E., Kahnert, M., Makkonen, R., Tonttila, J. and Nousiainen, T.: Impact of dust particle non-sphericity on climate simulations. Q.J.R. Meteorol. Soc., 139: 2222–2232. doi: 10.1002/qj.2084, 2013.

Tonttila, J., Räisänen, P., and Järvinen, H.: Monte Carlo-based subgrid parameterization of vertical velocity and stratiform cloud microphysics in ECHAM5.5-HAM2, Atmos. Chem. Phys., 13, 7551-7565, doi:10.5194/acp-13-7551-2013, 2013.

Tonttila, J., O'Connor, E. J., Niemelä, S., Räisänen, P., and Järvinen, H.: Cloud base vertical velocity statistics: a comparison between an atmospheric mesoscale model and remote sensing observations, Atmos. Chem. Phys., 11, 9207-9218, doi:10.5194/acp-11-9207-2011, 2011.