Articles | Volume 18, issue 23
Atmos. Chem. Phys., 18, 17601–17614, 2018
Atmos. Chem. Phys., 18, 17601–17614, 2018

Research article 12 Dec 2018

Research article | 12 Dec 2018

Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator

Martin Stengel et al.

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Subject: Clouds and Precipitation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Bao, X. and Zhang, F.: Evaluation of NCEP-CFSR, NCEP-NCAR, ERA-Interim, and ERA-40 Reanalysis Datasets against Independent Sounding Observations over the Tibetan Plateau, J. Clim., 26, 206–214,, 2013. a
Betts, A. K., Köhler, M., and Zhang, Y.: Comparison of river basin hydrometeorology in ERA-Interim and ERA-40 reanalyses with observations, J. Geophys. Res.-Atmos., 114, D02101,, 2009. a
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, Bull. Am. Meteorol. Soc., 92, 1023–1043,, 2011. a
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., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, book section 7, 571–658,, 2013. a, b
Cesana, G., Kay, J., Chepfer, H., English, J., and Boer, G.: Ubiquitous low-level liquid-containing Arctic clouds: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett., 39,, 2012. a
Short summary
We present a new approach to evaluate ERA-Interim reanalysis clouds using satellite observations. A simplified satellite simulator was developed that uses reanalysis fields to emulate clouds as they would have been seen by those satellite sensors which were used to compose Cloud_cci observational cloud datasets. Our study facilitates an adequate evaluation of modelled ERA-Interim clouds using observational datasets, also taking into account systematic uncertainties in the observations.
Final-revised paper