Improved key process in representing Arctic warming (D3.5)

In the work presented in this deliverable the Blue-Action teams focused on improving the representation of some of the most important physical processes which contribute to Arctic warming within the climate models used by the consortium. The two processes we addressed were the effect on the atmosphe...

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Bibliographic Details
Main Authors: Davy, Richard, Gao, Yongqi, Gastineau, Guillaume, Tian, Tian, Zhang, Ying
Format: Report
Language:English
Published: 2020
Subjects:
Online Access:https://zenodo.org/record/4730013
https://doi.org/10.5281/zenodo.4730013
Description
Summary:In the work presented in this deliverable the Blue-Action teams focused on improving the representation of some of the most important physical processes which contribute to Arctic warming within the climate models used by the consortium. The two processes we addressed were the effect on the atmospheric state due to the presence of leads in the sea ice cover and turbulence under strongly stable thermal stratification. The work done: We first analysed the results of previously performed large eddy simulations which resolved the turbulence over leads to determine the effect leads have on sensible heat flux from open water. Because of the effect of three-dimensional structures in the turbulent mixing above leads, the heat flux coming from leads can be amplified compared to the fluxes one would get from open water under the same air-sea temperature difference. The amplification effect strongly depends on the width of the lead, with the largest effect occurring for leads of widths around 1.4 km. We assessed the functional sensitivity of this amplification effect to key parameters used in the turbulence-resolving model, including the length scale for the convective boundary layer, which characterizes the background stability in the atmosphere. We combined this relation between the amplification effect of heat fluxes as a function of lead width with observed distributions of lead widths. These were taken from the peer-reviewed literature. Together, this gives us a scheme to describe how the presence of leads affects the surface sensible heat flux, and this depends upon the concentration of sea ice and the background atmospheric stability. We implemented this scheme in four climate models (NorESM, EC-Earth3, IPSL/ LMDZ6A and CAS-ESM/ IAP4) and tested the scale of the effect using multiple single-model ensemble simulations of historical climate. The key findings: The presence of leads in sea ice dramatically alters the surface energy balance in the Arctic. There is a large seasonal cycle to the effect of the presence of ...