A054-04
Measured ice nucleating particle concentrations improve the simulation of mid-level mixed-phase clouds over the high-latitude Southern Ocean

Tuesday, 8 December 2020: 19:12
Virtual
Alexis Berne1, Etienne Vignon2, Simon Alexander3, Paul J DeMott4, Georgia Sotiropoulou5, Franziska Gerber6, Thomas Christopher James Hill4, Roger Marchand7 and Athanasios Nenes8, (1)Swiss Federal Institute of Technology Lausanne, Environmental Remote Sensing Laboratory, Lausanne, Switzerland, (2)Swiss Federal Institute of Technology Lausanne, ENAC, Lausanne, Switzerland, (3)Australian Antarctic Division, Kingston, TAS, Australia, (4)Colorado State University, Fort Collins, CO, United States, (5)Stockholm University, Department of Meteorology, Stockholm, Sweden, (6)Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, (7)University of Washington, Department of Atmospheric Sciences, Seattle, WA, United States, (8)Swiss Federal Institute of Technology Lausanne, Laboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil & Environmental Engineering, Lausanne, Switzerland
Abstract:
Climate models exhibit major radiative biases over the Southern Ocean owing to a poor representation of mixed-phase clouds. This study uses the remote-sensing dataset from the Measurements of Aerosols, Radiation and Clouds over the Southern Ocean (MARCUS) campaign to assess the ability of the Weather Research and Forecasting (WRF) model to reproduce frontal clouds off Antarctica. It focuses on the modeling of thin mid-level supercooled liquid water layers which precipitate ice. The standard version of WRF produces almost fully glaciated clouds and cannot reproduce cloud top turbulence. Our work demonstrates the importance of adapting the ice nucleation parameterization to the pristine austral atmosphere to reproduce the supercooled liquid layers. Once simulated, droplets significantly impact the cloud radiative effect by increasing downwelling longwave fluxes and decreasing downwelling shortwave fluxes at the surface. The net radiative effect is a warming of snow and ice covered surfaces and a cooling of the ocean. Despite improvements in our simulations, the local circulation related to cloud-top radiative cooling is not properly reproduced, advocating for the need to develop a parameterization for top-down convection to capture the turbulence-microphysics interplay at cloud top.