A212-0013
Model and state dependence of the atmospheric response to Arctic sea-ice loss

Wednesday, 16 December 2020
Poster
Amber Walsh1, James Screen1, Adam A Scaife2, Doug M Smith2 and Rosemary Eade3, (1)University of Exeter, Exeter, EX4, United Kingdom, (2)Met Office Hadley Centre, Exeter, United Kingdom, (3)Met Office Hadley center for Climate Change, Exeter, EX1, United Kingdom
Abstract:
The climate response to Arctic sea-ice loss is highly uncertain. There exists considerable disagreement between observational and modelling studies, and between models, for reasons that remain poorly understood. To make progress, the Polar Amplification Model Intercomparison Project (PAMIP) was designed to provide coordinated experiments, with consistent sea-ice loss applied in multiple models. Results from the PAMIP are presented, focussing on the robustness of the atmospheric response to Arctic sea-ice loss across models and, within individual models, the dependence of the response on the mean state.

In the troposphere, the mid-latitude jet is either weakened and/or shifted towards the equator in all models, albeit with varying magnitudes. We hypothesise that the magnitude of the jet response is sensitive to the atmospheric model resolution. To test this, and to more broadly identify the aspects of the atmospheric response that are sensitive to model resolution, we compare like-for-like experiments with two versions of the HadGEM3 model at low (N96) and high (N216) horizontal resolution.

The stratospheric polar vortex response to Arctic sea-ice loss is not consistent between models, and appears to be influenced by both the size of the ensemble for each model and the background state of the atmosphere. To understand the influence of the background state, different phases of the Quasi-Biennial Oscillation (QBO) and El Niño-Southern Oscillation (ENSO) are explored for a single model (HadGEM3). We hypothesise that the QBO and ENSO may modulate the sea-ice response because they alter the mean polar vortex state depending on their phase. New simulations with background states representing the easterly and westerly QBO phases and states representing El Niño and La Niña phases of ENSO are used to investigate this modulating effect.