New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based and drifting station data

Cloud observations from the CloudSat and CALIPSO satellites helped to explain the reduced total cloud cover (Ctot) in the atmospheric regional climate model HIRHAM5 with modified cloud physics. Arctic climate conditions are found to be better reproduced with (1) a more efficient Bergeron-Findeisen p...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Klaus, D., Dethlo, K., Dorn, W., Rinke, A., Wu, D. L.
Format: Text
Language:English
Published: 2016
Subjects:
Article
Arctic
Sea ice
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402221/
http://www.ncbi.nlm.nih.gov/pubmed/32753770
https://doi.org/10.1002/2015GL067530
Description
Summary:Cloud observations from the CloudSat and CALIPSO satellites helped to explain the reduced total cloud cover (Ctot) in the atmospheric regional climate model HIRHAM5 with modified cloud physics. Arctic climate conditions are found to be better reproduced with (1) a more efficient Bergeron-Findeisen process and (2) more generalized subgrid-scale variability of total water content. As a result, the annual cycle of Ctot is improved over sea ice, associated with an almost 14% smaller area average than in the control simulation. The modified cloud scheme reduces the Ctot bias with respect to the satellite observations. Except for autumn, the cloud reduction over sea ice improves low-level temperature profiles compared to drifting station data. The HIRHAM5 sensitivity study highlights the need for improving accuracy of low-level (< 700m) cloud observations, as these clouds exert a strong impact on the near-surface climate.

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