On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model

被引:109
|
作者
Forbes, Richard M. [1 ]
Ahlgrimm, Maike [1 ]
机构
[1] European Ctr Medium Range Weather Forecasts, Shinfield Pk, Reading RG2 9AX, Berks, England
关键词
ARCTIC CLOUD; RESOLVING SIMULATIONS; SCHEME; WATER; LIDAR; SENSITIVITY; ALGORITHM; STRATUS; OCEAN; HEAT;
D O I
10.1175/MWR-D-13-00325.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Supercooled liquid water (SLW) layers in boundary layer clouds are abundantly observed in the atmosphere at high latitudes, but remain a challenge to represent in numerical weather prediction (NWP) and climate models. Unresolved processes such as small-scale turbulence and mixed-phase microphysics act to maintain the liquid layer at cloud top, directly affecting cloud radiative properties and prolonging cloud lifetimes. This paper describes the representation of supercooled liquid water in boundary layer clouds in the European Centre for Medium-Range Weather Forecasts (ECMWF) global NWP model and in particular the change from a diagnostic temperature-dependent mixed phase to a prognostic representation with separate cloud liquid and ice variables. Data from the Atmospheric Radiation Measurement site in Alaska and from the CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite missions are used to evaluate the model parameterizations. The prognostic scheme shows a more realistic cloud structure, with an SLW layer at cloud top and ice falling out below. However, because of the limited vertical and horizontal resolution and uncertainties in the parameterization of physical processes near cloud top, the change leads to an overall reduction in SLW water with a detrimental impact on shortwave and longwave radiative fluxes, and increased 2-m temperature errors over land. A reduction in the ice deposition rate at cloud top significantly improves the SLW occurrence and radiative impacts, and highlights the need for improved understanding and parameterization of physical processes for mixed-phase cloud in large-scale models.
引用
收藏
页码:3425 / 3445
页数:21
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