Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model

Pei, Zhangcheng; Fiddes, Sonya L.; French, W. John R.; Alexander, Simon P.; Mallet, Marc D.; Kuma, Peter; McDonald, Adrian

doi:https://doi.org/10.5194/acp-23-14691-2023

Articles | Volume 23, issue 23

https://doi.org/10.5194/acp-23-14691-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-14691-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 23

Research article

|

29 Nov 2023

Research article |

| 29 Nov 2023

Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model

Zhangcheng Pei, Sonya L. Fiddes, W. John R. French, Simon P. Alexander, Marc D. Mallet, Peter Kuma, and Adrian McDonald

Data sets

University of Canterbury’s Vaisala CL51 Ceilometer at Macquarie Island 2016-2018 S. Alexander and A. McDonald https://doi.org/10.26179/5d91835e2ccc3

Macquarie_Island_Radiometer_and_AllSkyCam_Data_2016-2018 J. French, Z. Pei, S. Alexander, S. Fiddes, M. Mallet, P. Kuma, and A. McDonald https://doi.org/10.26179/6seh-er53

ERA5 hourly data on single levels from 1940 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

CERES Data Products NASA https://ceres.larc.nasa.gov/data/

ACCESS-AM2 daily and hourly cloud and radiation data for model evaluation at Macquarie Island Z. Pei and S. L. Fiddes https://doi.org/10.5281/zenodo.10082306

Sky Radiometers on Stand for Downwelling Radiation (SKYRAD60S) M. Sengupta, A. Habte, A. Andreas, I. Reda, S. Jaker, Y. Xie, J. Yang, P. Gotseff, M. Kutchenreiter, and Y. Shi https://doi.org/10.5439/1377836

Model code and software

Automatic Lidar and Ceilometer Framework (ALCF) P. Kuma, A. J. McDonald, O. Morgenstern, R. Querel, I. Silber, and C. J. Flynn https://doi.org/10.5281/zenodo.4411633

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Short summary

In this paper, we use ground-based observations to evaluate a climate model and a satellite product in simulating surface radiation and investigate how radiation biases are influenced by cloud properties over the Southern Ocean. We find that significant radiation biases exist in both the model and satellite. The cloud fraction and cloud occurrence play an important role in affecting radiation biases. We suggest further development for the model and satellite using ground-based observations.