Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-1943-2015
https://doi.org/10.5194/gmd-8-1943-2015
Development and technical paper
 | 
02 Jul 2015
Development and technical paper |  | 02 Jul 2015

Pan-spectral observing system simulation experiments of shortwave reflectance and long-wave radiance for climate model evaluation

D. R. Feldman, W. D. Collins, and J. L. Paige

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Cited articles

Andrews, T., Gregory, J. M., Webb, M. J., and Taylor, K. E.: Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere-ocean climate models, Geophys. Res. Lett,, 39, L09712, https://doi.org/10.1029/2012GL051607, 2012.
Armour, K. C., Bitz, C. M., and Roe, G. H.: Time-Varying Climate Sensitivity from Regional Feedbacks, J. Climate, 26, 4518–4534, https://doi.org/10.1175/jcli-d-12-00544.1, 2013.
Arnold Jr., C. P. and Dey, C. H.: Observing-systems simulation experiments: Past, present, and future, B. Am. Meteorol. Soc., 67, 687–695, 1986.
Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E., McMillin, L. M., Revercomb, H., Rosenkranz, P., Smith, W., Staelin, D., Strow, L., and Susskind, J.: AIRS/AMSU/HSB on the Aqua mission: Design, science objectives, data products, and processing systems, IEEE T. Geosci. Remote, 41, 253–264, 2003.
Berk, A., Anderson, G. P., Acharya, P. K., Bernstein, L. S., Muratov, L., Lee, J., Fox, M., Adler-Golden, S. M., Chetwynd, J. M., Hoke, M. L., Lockwood, R. B., Gardner, J. A., Cooley, T. W., Borel, C. C., and Lewis, P. E.: MODTRAN 5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options: update, in: Defense and Security, 662–667, International Society for Optics and Photonics, https://doi.org/10.1117/12.578758, 2005.
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Short summary
This work describes a new type of observational simulator for directly comparing measurements and models that takes advantage of all of the information in spectrally resolved top-of-atmosphere data. It describes how to model how the spectrum of the Earth, both in the shortwave and the long wave, changes in response to climate forcings, and provides a path towards inline observational simulation for the upcoming Coupled Model Intercomparison Project – Phase 6.