Articles | Volume 12, issue 10
https://doi.org/10.5194/gmd-12-4297-2019
https://doi.org/10.5194/gmd-12-4297-2019
Development and technical paper
 | 
10 Oct 2019
Development and technical paper |  | 10 Oct 2019

Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation

Takuro Michibata, Kentaroh Suzuki, Tomoo Ogura, and Xianwen Jing

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Cited articles

Bai, H., Gong, C., Wang, M., Zhang, Z., and L'Ecuyer, T.: Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites, Atmos. Chem. Phys., 18, 1763–1783, https://doi.org/10.5194/acp-18-1763-2018, 2018. a
Beheng, K. D.: A parameterization of warm cloud microphysical conversion processes, Atmos. Res., 33, 193–206, 1994. a
Berry, E. X.: Modification of the Warm Rain Process, in: Proc. First Conf. on Weather Modification, Albany, NY, Amer. Meteor. Soc, paper presented at 1st National Conf. on Weather Modification, 28 April–1 May, 81–85, 1968. a, b
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. a, b
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and aerosols, Cambridge University Press, Cambridge, UK, 571–657, https://doi.org/10.1017/CBO9781107415324.016, 2013. a
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Short summary
A new diagnostic tool for cloud and precipitation microphysics has been added to the latest version of the Cloud Feedback Model Intercomparison Project Observational Simulator Package (COSP2). The tool generates warm rain process statistics from several instrument simulators online during the COSP execution. This online diagnostic is intended to serve as a tool that facilitates efficient model development and the evaluation of multiple climate models.