The Two Arctic Wintertime Boundary Layer States: Disentangling the Role of Cloud and Wind Regimes in Reanalysis and Observations During MOSAiC DOI Creative Commons
Sandro Dahlke, Annette Rinke, Matthew D. Shupe

et al.

Atmospheric Science Letters, Journal Year: 2025, Volume and Issue: 26(4)

Published: April 1, 2025

ABSTRACT The wintertime central Arctic atmosphere comprises a radiatively clear and opaque state, which are linked to synoptic forcing mixed‐phase clouds. Weather climate models often lack process representations surrounding these states, but prior work mostly treated the problem as an aggregate of conditions, resulting in partially overlapping biases. Here, we disaggregate states confront ERA5 reanalysis with observations from MOSAiC campaign over sea ice during winter 2019/2020. Low‐level winds liquid water path (LWP) combined derive different classes. Results show that state is primarily formed by weak/moderate absence liquid‐bearing clouds, while strong enhanced LWP form state. struggles reproduce basic statistics, shows too weak sensitivity thermal radiation forcing, overestimates for similar amounts. latter caused warm bias, has pronounced inversion structure largest calm conditions. Under bias constant height discrepancies cloud altitude appear. Separating conditions regarded useful process‐oriented evaluation troposphere models.

Language: Английский

The Two Arctic Wintertime Boundary Layer States: Disentangling the Role of Cloud and Wind Regimes in Reanalysis and Observations During MOSAiC DOI Creative Commons
Sandro Dahlke, Annette Rinke, Matthew D. Shupe

et al.

Atmospheric Science Letters, Journal Year: 2025, Volume and Issue: 26(4)

Published: April 1, 2025

ABSTRACT The wintertime central Arctic atmosphere comprises a radiatively clear and opaque state, which are linked to synoptic forcing mixed‐phase clouds. Weather climate models often lack process representations surrounding these states, but prior work mostly treated the problem as an aggregate of conditions, resulting in partially overlapping biases. Here, we disaggregate states confront ERA5 reanalysis with observations from MOSAiC campaign over sea ice during winter 2019/2020. Low‐level winds liquid water path (LWP) combined derive different classes. Results show that state is primarily formed by weak/moderate absence liquid‐bearing clouds, while strong enhanced LWP form state. struggles reproduce basic statistics, shows too weak sensitivity thermal radiation forcing, overestimates for similar amounts. latter caused warm bias, has pronounced inversion structure largest calm conditions. Under bias constant height discrepancies cloud altitude appear. Separating conditions regarded useful process‐oriented evaluation troposphere models.

Language: Английский

Citations

0