Articles | Volume 13, issue 6
Research article
26 Jun 2019
Research article |  | 26 Jun 2019

Validation of the sea ice surface albedo scheme of the regional climate model HIRHAM–NAOSIM using aircraft measurements during the ACLOUD/PASCAL campaigns

Evelyn Jäkel, Johannes Stapf, Manfred Wendisch, Marcel Nicolaus, Wolfgang Dorn, and Annette Rinke

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Cited articles

Ahmad, B. and Haider, S.: Parameterization Experiment on the Effect of Temperature on Snow Albedo and Snow Depth, Pak. J. Meteorol., 11, 77–84, 2015. a
Bannehr, L. and Schwiesow, R.: A Technique to Account for the Misalignment of Pyranometers Installed on Aircraft, J. Atmos. Ocean. Technol., 10, 774–777, 1993. a
Choudhury, B. J. and Chang, A. T. C.: The albedo of snow for partially cloudy skies, Bound.-Lay. Meteorol., 20, 371–389,, 1981. a, b, c
Crook, J. A. and Forster, P. M.: Comparison of surface albedo feedback in climate models and observations, Geophys. Res. Lett., 41, 1717–1723,, 2014. a
Curry, J.: Introduction to special section: FIRE Arctic Clouds Experiment, J. Geophys. Res., 106, 14985–14987, 2001. a
Short summary
The sea ice surface albedo parameterization of a coupled regional climate model was validated against aircraft measurements performed in May–June 2017 north of Svalbard. The albedo parameterization was run offline from the model using the measured parameters surface temperature and snow depth to calculate the surface albedo and the individual fractions of the ice surface subtypes. An adjustment of the variables and additionally accounting for cloud cover reduced the root-mean-squared error.