Hostname: page-component-848d4c4894-75dct Total loading time: 0 Render date: 2024-05-27T14:11:44.424Z Has data issue: false hasContentIssue false
  • English
  • Français

3D Models of Exoplanet Atmospheres

Published online by Cambridge University Press:  23 April 2012

Ian Dobbs-Dixon
Ian Dobbs-Dixon*
Affiliation:
Department of Astronomy, University of WashingtonBox 351580, Seattle, WA 98195Sagan Postdoctoral Fellow email: ianmdd@gmail.com
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Dynamical models of strongly irradiated gas-giant atmospheres exhibit a range of behavior, the nature of which depends on both the adopted parameters and the adopted numerical model. Discerning the correct choice of physical parameters and modeling philosophy can be difficult. Here, I present a series of wavelength-dependent transmission spectra for the giant planet HD209458b based on 3D radiative hydrodynamical models for a range of kinematic viscosities. While flow patterns and temperature distributions can vary significantly, disk-averaged phase curves mask much of this information. Transmission spectra, on the other hand, probe the day-night transition where advective contributions dominate and differences are often most pronounced. Transmission spectra illustrate noticeable changes, especially when comparing the differences between transmission spectra of eastern and western hemispheres, as might be seen during ingress and egress.

Keywords

hydrodynamicsradiative transfertechniques: spectroscopiceclipses
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 7 , Symposium S282: From Interacting Binaries to Exoplanets: Essential Modeling Tools , July 2011 , pp. 533 - 538
Copyright
Copyright © International Astronomical Union 2012

References

Agol, E., Cowan, N. B., et al. , 2010, ApJ, 721, 1861CrossRefGoogle Scholar
Beaulieu, J. P., Kipping, D. M., Batista, V., et al. , 2010, MNRAS, 409, 963Google Scholar
Brown, T. M., Libbrecht, K. G., & Charbonneau, D. 2002, PASP, 114, 826CrossRefGoogle Scholar
Burkert, A., Lin, D. N. C., et al. , 2005 ApJ, 618, 512CrossRefGoogle Scholar
Burrows, A., Rauscher, E., Spiegel, D. S., & Menou, K. 2010, ApJ, 719, 341Google Scholar
Charbonneau, D., Brown, T. M., Latham, D. W., & Mayor, M. 2000, ApJ, 529, L45CrossRefGoogle Scholar
Charbonneau, D., Brown, T. M., Noyes, R. W., & Gilliland, R. L. 2002, ApJ, 568, 377Google Scholar
Cho, J. Y. K., Menou, K., Hansen, B. M. S., & Seager, S. 2003, ApJ, 587, L117Google Scholar
Cho, J. Y. K., Menou, K., Hansen, B. M. S., & Seager, S. 2008, ApJ, 675, 817Google Scholar
Cooper, C. S. & Showman, A. P. 2005, ApJ, 629, L45Google Scholar
Cooper, C. S. & Showman, A. P. 2006, ApJ, 649, 1048CrossRefGoogle Scholar
Cowan, N. B. & Agol, E. 2008, ArXiv e-printsGoogle Scholar
Cowan, N. B., Agol, E., & Charbonneau, D. 2007, MNRAS, 379, 641Google Scholar
Crossfield, I. J. M., Hansen, B. M. S., Harrington, J., et al. , 2010, ApJ, 723, 1436Google Scholar
Deming, D., Seager, S., Richardson, L. J., & Harrington, J. 2005, Nature, 434, 740Google Scholar
Desert, J.-M., Lecavelier des Etangs, A., Hebrard, G., et al. , 2009, ApJ, 699, 478CrossRefGoogle Scholar
Dobbs-Dixon, I., Agol, E., & Burrows, A. 2011, In Prep.Google Scholar
Dobbs-Dixon, I., Cumming, A., & Lin, D. N. C. 2010, ApJ, 710, 1395Google Scholar
Dobbs-Dixon, I. & Lin, D. N. C. 2008, ApJ, 673, 513Google Scholar
Fortney, J. J., Shabram, M., Showman, A. P., et al. , 2010, ApJ, 709, 1396Google Scholar
Harrington, J., Hansen, B. M., Luszcz, S. H., et al. , 2006, Science, 314, 623Google Scholar
Knutson, H. A., et al. , 2008, ApJ, 673, 526CrossRefGoogle Scholar
Knutson, H. A., Charbonneau, D., Allen, L. E., et al. , 2007, Nature, 447, 183CrossRefGoogle Scholar
Knutson, H. A., Charbonneau, D., Cowan, N. B., et al. , 2009, ApJ, 690, 822Google Scholar
Langton, J. & Laughlin, G. 2007, ApJ, 657, L113Google Scholar
Langton, J. & Laughlin, G. 2008, ApJ, 674, 1106Google Scholar
Mandel, K. & Agol, E. 2002, ApJ, 580, L171Google Scholar
Menou, K. & Rauscher, E. 2009, ApJ, 700, 887CrossRefGoogle Scholar
Rauscher, E. & Menou, K. 2010, ApJ, 714, 1334Google Scholar
Rauscher, E., Menou, K., Cho, J. Y.-K., Seager, S., & Hansen, B. M. S. 2008, ApJ, 681, 1646Google Scholar
Seager, S. & Sasselov, D. D. 2000, ApJ, 537, 916Google Scholar
Sharp, C. M. & Burrows, A. 2007, ApJS, 168, 140CrossRefGoogle Scholar
Showman, A. P., Cooper, C. S., Fortney, J. J., & Marley, M. S. 2008, ApJ, 682, 559Google Scholar
Showman, A. P., Fortney, J. J., Lian, Y., et al. , 2009, ApJ, 699, 564Google Scholar
Showman, A. P. & Guillot, T. 2002, AA, 385, 166CrossRefGoogle Scholar
Snellen, I. A. G., de Kok, R. J., de Mooij, E. J. W., & Albrecht, S. 2010, Nature, 465, 1049CrossRefGoogle Scholar