Arctic Research Directory

ID-14 : Data assimilation and prediciton of sea ice

Type

MODEL

Title

Data assimilation and prediciton of sea ice

Abstract

Investigaing preditability of sea ice and climate variations in the pan arctic region by using climate models initialized with atmospheric and oceanic observational data including sea ice.

Model Characteristics

High resolution and good reproducibility of past climate variations

Computing Environment

Earth Simulator

Principal Investigator

Hiroyasu Hasumi

Atmosphere and Ocean Research Institute, The University of Tokyo

hasumi@aori.u-tokyo.ac.jp

ArCS Theme

ArCS Theme 5 : Study on Arctic climate predictability

Data Information

Model Name

MRI-ESM2

Abstract (Brief description of the experiment contents (initial conditions, boundary conditions, etc.))

(1) This is one of CMIP6 participating climate model. The model exparienced long-term past and future climate simulations under the various CMIP6 protocols. In addition decadal climate predicion experiments were also conducted with the model initialized by using oceanic obsevations. (2) With this model, sea ice data asimilation by EnKF is now conducted to understand the role of sea ice in the climate systems over this planet..

Temporal Extent

Begin Date	1951-01-01
End Date	2011-12-31
Temporal Characteristics	3/6 hourly, daily and monthly

Geographic Bounding Box

North bound latitude	90.0
West bound longitude	0.0
Eastbound longitude	360.0
South bound latitude	-90.0

Grid
Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 640 0.5625 (deg)
column 320 TL319 gaussian grid (deg)
vertical 80 998.49961,995.49962,991.49897,985.49794,976.99573,965.99378,952.99141,936.98560,917.98187,896.97753,873.47018,846.96143,817.95414,786.94577,754.43985,720.42915,684.41666,647.41191,609.90137,571.89480,533.88730,495.87866,458.37556,421.87200,386.36789,351.86309,318.86617,288.22333,260.58618,236.05611,214.37766,195.38336,178.83705,164.45850,151.94503,140.98904,131.29217,122.57632,114.59302,107.13131,100.12070,93.48499,87.12179,81.02151,75.17566,69.57673,64.21824,59.09472,54.20164,49.53546,45.09352,40.87394,36.87557,33.09781,29.54059,26.20415,23.08885,20.19496,17.52238,15.07048,12.83770,10.82141,9.01760,7.42063,6.02314,4.81598,3.78808,2.92657,2.21703,1.64385,1.19064,0.84057,0.57703,0.38419,0.24740,0.15358,0.09160,0.05232,0.02848,0.01000

Dimension Name	Dimension Size (slice number of the dimension)	Resolution Unit
row	640	0.5625 (deg)
column	320	TL319 gaussian grid (deg)
vertical	80	998.49961,995.49962,991.49897,985.49794,976.99573,965.99378,952.99141,936.98560,917.98187,896.97753,873.47018,846.96143,817.95414,786.94577,754.43985,720.42915,684.41666,647.41191,609.90137,571.89480,533.88730,495.87866,458.37556,421.87200,386.36789,351.86309,318.86617,288.22333,260.58618,236.05611,214.37766,195.38336,178.83705,164.45850,151.94503,140.98904,131.29217,122.57632,114.59302,107.13131,100.12070,93.48499,87.12179,81.02151,75.17566,69.57673,64.21824,59.09472,54.20164,49.53546,45.09352,40.87394,36.87557,33.09781,29.54059,26.20415,23.08885,20.19496,17.52238,15.07048,12.83770,10.82141,9.01760,7.42063,6.02314,4.81598,3.78808,2.92657,2.21703,1.64385,1.19064,0.84057,0.57703,0.38419,0.24740,0.15358,0.09160,0.05232,0.02848,0.01000

Article (the article written using this data)

Seiji YUKIMOTO, Hideaki KAWAI, Tsuyoshi KOSHIRO, Naga OSHIMA, Kohei YOSHIDA, Shogo URAKAWA, Hiroyuki TSUJINO, Makoto DEUSHI, Taichu TANAKA, Masahiro HOSAKA, Shokichi YABU, Hiromasa YOSHIMURA, Eiki SHINDO, Ryo MIZUTA, Atsushi OBATA, Yukimasa ADACHI, Masayoshi ISHII, The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component, Journal of the Meteorological Society of Japan. Ser. II, Vol.97, No.5, 931-965, 2019, https://doi.org/10.2151/jmsj.2019-051

Personnel

Roll	Contact Person	Name	MASAYOSHI ISHII	Affiliation	Meteorological Research Institute	Country	JAPAN	Email	maish@mri-jma.go.jp

Data Registration

02:29 on Fri July 1, 2016

Last Update

07:22 on Thu March 12, 2020