Arctic Research Directory

ID-15 :   Impact of sea ice distribution on the evolution of a polar low

Type

MODEL

Title

Impact of sea ice distribution on the evolution of a polar low

Abstract

Polar lows are intense mesoscale cyclones that occur at high latitude during winter. These cyclones can produce hurricane-like wind gusts and heavy rainfalls. The sudden development of the phenomenon, together with the sparsity of conventional measurements in the genesis and development areas, results in a low forecasting skill. Therefore, polar lows are a hazard of all maritime and coastal activities. Sea ice distributions, which controls the heat fluxes from the sea surface, may have a significant impact on the development of the polar low. This study investigates the mechanism of how the surface heat flux affect the development of polar lows.

Model Characteristics

Non-hydrostatic regional whether/climate model

Computing Environment

Dell PowerEdge T610

Principal Investigator

Hiroyasu Hasumi
Atmosphere and Ocean Research Institute, The University of Tokyo
hasumi@aori.u-tokyo.ac.jp

Data Information

Model Name
Weather Research and Forecasting model
Abstract (Brief description of the experiment contents (initial conditions, boundary conditions, etc.))
The horizontal grid spacing was set to 10 km and the model had 50 vertical levels up to 10 hPa. We used the following parameterisations: the Morrison two-moment scheme (Morrison et al., 2009) for cloud microphysics, Mellor–Yamada–Nakanishi–Niino scheme (Nakanishi and Niino, 2009) for turbulence closure, New Kain–Fritsch scheme (Kain, 2004) for cumulus convection, and the Dudhia shortwave scheme (Dudhia 1989) and a rapid radiative transfer model (Mlawer et al., 1997) for radiation. The Yonsei University scheme (Hong et al., 2006) was also tested, but model output varied little with different parametrisations. OISST data were used for the bottom boundary condition over the sea surface. ERA-Interim reanalysis data were employed for the initial and boundary conditions of other prognostic variables.
Temporal Extent
Begin Date2011-01-20
End Date2011-01-25
Temporal Characteristicshourly
Geographic Bounding Box
North bound latitude80.0
West bound longitude45.0
Eastbound longitude40.0
South bound latitude60.0
Grid
Dimension NameDimension Size (slice number of the dimension)Resolution Unit
row28010 km
column20010 km
vertical50
Data Information

no data

Personnel

RollContact PersonNameAtsuyoshi MandaAffiliationMie UniversityCountryJapanEmailam@bio.mie-u.ac.jp
Data Registration
10:30 on Fri July 1, 2016
Last Update
12:11 on Tue July 2, 2019