ID-332 : IcePOM
Type
MODEL
Title
IcePOM
Abstract
Medium-term sea ice forecast for Arctic regions
Model Characteristics
ice-ocean coupled model (icePOM) is run at a resolution os 2.5km in the horizontal and 33 z-sigma layers in the verical. Model initial ice conditions are based on AMSR2 sea ice concentration. The atmospheric forcing is given by ECMWF atmospheric forecast data with 0.1 degree spatial resolution derived from Set I - Atmospheric Model high-resolution 10-day forecast (HRES).
Computing Environment
Yamaguchi lab server at the University of Tokyo is used with MPI paralalization
Principal Investigator
Hajime Yamaguchi
The University of Tokyo
h-yama@edu.k.u-tokyo.ac.jp
ArCS Theme
Data Information
Model Name
icePOM
Abstract (Brief description of the experiment contents (initial conditions, boundary conditions, etc.))
This is a medium-range (10 days) sea ice prediction dataset produced by IcePOM model for support the Japanese research vessel MIRAI's expedition cruise in 2018. In this study, a high-resolution (about 2.5 km) ice-ocean coupled model is developed for forecasting the medium range sea ice distribution in the Chukchi Sea. European Center for Medium-Range Weather Forecast atmospheric high-resolution 10-days forecasted forcing data is used for the sea ice prediction simulations. A high-resolution 10 days forecasting computations are initialized using AMSR2 derived sea ice concentration and thickness.
Temporal Extent
| Begin Date | 2018-11-01 |
| End Date | 2018-11-25 |
| Temporal Characteristics | daily |
Geographic Bounding Box
| North bound latitude | 80.0 |
| West bound longitude | 170.0 |
| Eastbound longitude | 230.0 |
| South bound latitude | 60.0 |
GridDimension Name Dimension Size (slice number of the dimension) Resolution Unit row 632 2.5km column 707 2.5km vertical 33 z-sigma layers
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 632 | 2.5km |
| column | 707 | 2.5km |
| vertical | 33 | z-sigma layers |
Data Information
Article (the article written using this data)
De Silva L.W.A., Terui T., Yamaguchi H., & Inoue J. Medium range sea ice prediction for support the Japanese research vessel MIRAI's expedition cruise in 2018., Journal of Polar Geography. (under review)
Personnel
| Roll | Contact Person | Name | Waruna De Silva | Affiliation | The University of Tokyo | Country | Japan | waruna@edu.k.u-tokyo.ac.jp |
|---|
| Roll | Contact Person | Name | Hajime Yamaguchi | Affiliation | The University of Tokyo | Country | Japan | h-yama@edu.k.u-tokyo.ac.jp |
|---|
Data Registration
02:31 on Wed May 29, 2019
Last Update
05:53 on Thu February 13, 2020