Simulation of the Arctic Mixed-Phase Clouds

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Presentation transcript:

Simulation of the Arctic Mixed-Phase Clouds Hui-Wen Lai Fall 2015 Group Meeting Dec. 11, 2015

Motivation The Arctic, where radiative energy lost to space greatly exceeds the energy received from the sun, plays an important role in Earth’s atmospheric general circulation. Clouds found in the lower troposphere have a dominant impact on the Arctic radiation budget, with layers of high water vapor content. Precipitation events around the North Slope of Alaska site are characterized by mixed-phase clouds. Understanding of ice growth microphysics in these clouds is still lacking, because of a dearth of detailed observations.

Objective Mixed-phase clouds Mixed-phase clouds are composed of a mixture of supercooled liquid water and ice crystals. The processes involved in ice particle formation are more complicated and less well understood than for water droplet formation. Liquid Ice Mixed-phase ↑ Crystal nucleation

Model Setting Domain : D01 : 301 ×201 ×100 (9km) CASE 1 : 2013/05/02 16UTC CASE 2 : 2013/05/02 19UTC CASE 3 : 2013/05/06 11UTC Barrow Physics Options in WRF : Cumulus Parameterization: Grell-Freitas ensemble scheme PBL Schemes: Yonsei University scheme Radiation Schemes: CAM Surface Schemes: Noah Land Surface Model Cloud microphysics: Morrison 2-moment scheme 4 4 4

Simulation experiments 05/01 0400UTC 05/02 1600UTC 36-h forecast 24-h forecast 12-h forecast Observation The DOE-ARM X-band scanning precipitation radar (X-SAPR) at Barrow, Alaska Plan Position Indicator (PPI) Range Height Indicator (RHI) PPI RHI

Case (I) Dendrites A weak surface trough approached. Shallow boundary layer cloud system 1600 UTC 2 May 2013 A weak surface trough approached. Ice particles from that cloud layer fell into the liquid-cloud layers in a seeder-feeder scenario. (Oue et al, 2015)

Case (II) Aggregates Shallow boundary layer cloud system 1900 UTC 2 May 2013 Precipitation particles from the top cloud layer fell into the liquid-cloud layers in a seeder-feeder scenario. (Oue et al, 2015)

Horizontal wind speed and direction Case (I & II) Dendrites and Aggregates Observation Radial Velocity Elevation 0.5° -40 -20 0 20 40 Radial Velocity Azimuth 7° Simulation 1000 hPa Horizontal wind speed and direction 12-h 24-h 36-h

Case (I & II) Dendrites and Aggregates Temperature and Dew point vertical profile 12-h 24-h 36-h (Oue et al, 2015) Observation Simulation Shaded region: Supersaturation condition with respect to ice Arrows: Liquid cloud tops for the pristine dendrites case (1.75 km) and aggregates (1.5 km)

Summary and future work In these cases, ice particles from seeder-clouds at the top of the system fell into at least one liquid-cloud layer embedded in the ice precipitating cloud systems. From the preliminary results, the model provided a consistent wind field between simulations and observations. However, it did not portray the different properties of the flows in the different layers due to the unclear thermodynamic process. !------------------------------------------------------------------------------------------ Assimilating radar radial velocity/GTS into ENKF

Thank you