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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 9
Atmos. Meas. Tech., 5, 2261–2276, 2012
https://doi.org/10.5194/amt-5-2261-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Remote sensing of aerosols and clouds (EGU2011)

Atmos. Meas. Tech., 5, 2261–2276, 2012
https://doi.org/10.5194/amt-5-2261-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Sep 2012

Research article | 20 Sep 2012

Reduction of radiation biases by incorporating the missing cloud variability by means of downscaling techniques: a study using the 3-D MoCaRT model

S. Gimeno García et al.
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Cited articles  
Barker, H.: A parameterisation for computing grid-averaged solar fluxes for inhomogeneous marine boundary layer clouds. part i: Methodology and homogeneous biases, J. Atmos. Sci., 53, 2289–2303, 1996.
Barker, H., Goldstein, R., and Stevens, D.: Monte carlo simulation of solar reflectances for cloudy atmospheres, Journal Atmos. Sci., 60, 1881–1894, 2003.
Bar-Or, R. Z., Altaratz, O., and Koren, I.: Global analysis of cloud field coverage and radiative properties, using morphological methods and MODIS observations, Atmos. Chem. Phys., 11, 191–200, https://doi.org/10.5194/acp-11-191-2011, 2011.
Bugliaro, L., Zinner, T., Keil, C., Mayer, B., Hollmann, R., Reuter, M., and Thomas, W.: Validation of cloud property retrievals with simulated satellite radiances: a case study for SEVIRI, Atmos. Chem. Phys., 11, 5603–5624, https://doi.org/10.5194/acp-11-5603-2011, 2011.
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