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Table of Contents
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1. Forecast system version

Identifier code:  JMA/MRI-CPS2

First operational forecast run: June 2015

2. Configuration of the forecast model

Is the model coupled to an ocean model?  Yes

Coupling frequency: 1 hour

2.1 Atmosphere and land surface

ModelJMA-GSM
Horizontal resolution and grid

TL159

(approx. 110km)

Atmosphere vertical resolutionL60
Top of atmosphere0.1hPa
Soil levels

Soil temperature : 1

Soil moisture : 3

Time step30 minutes

Detailed documentation: JMA, 2013: Outline of the operational numerical weather prediction at the Japan Meteorological Agency, Appendix to WMO Technical Progress Report on the Global Data-processing and Forecasting System (GDPFS) and Numerical Weather Prediction (NWP) Research. Japan Meteorological Agency, Tokyo, Japan.

2.2 Ocean and cryosphere

Ocean modelMRI.COM v3
Horizontal resolution1ºx0.3º -0.5º on a tripolar grid
(See https://ds.data.jma.go.jp/tcc/tcc/products/elnino/move_mricom-g2_doc.html for more information on a tripolar grid)
Vertical resolutionL52 + Bottom Boundary Layer (BBL)
Time step20 minutes
Sea ice modelpart of MRI.COM v3
Sea ice model resolutionsame as ocean model
Sea ice model levels5 categories + open water
Wave modelNone
Wave model resolutionN/A

Detailed documentation: Tsujino, H., T. Motoi, I. Ishikawa, M. Hirabara, H. Nakano, G. Yamanaka, T. Yasuda, and H. Ishizaki, 2010: Reference manual for the Meteorological Research Institute Community Ocean Model (MRI.COM) version 3. Technical Reports of the Meteorological Research Institute, 59, 273pp.

3. Initialization and initial condition (IC) perturbations

3.1 Atmosphere and land


HindcastForecast
Atmosphere initialization
Japanese 55-year Reanalysis (JRA-55)Japanese 55-year Reanalysis (JRA-55)
Atmosphere IC perturbationsBreeding Growth Method (BGM)Breeding Growth Method (BGM)

Land Initialization

JRA-55JRA-55
Land IC perturbationsNoneNone
Soil moisture initializationJRA-55JRA-55
Snow initializationJRA-55JRA-55
Unperturbed control forecast?NoneNone

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Detailed documentation: Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48.

3.2 Ocean and cryosphere


HindcastForecast
Ocean initialization

Multivariate Ocean Variational Estimation (MOVE)/MRI.COM Global 2 system

(MOVE/MRI.COM-G2)

Multivariate Ocean Variational Estimation (MOVE)/MRI.COM Global 2 system

(MOVE/MRI.COM-G2)

Ocean IC perturbationsMOVE/MRI-COM-G2 driven by JRA-55 with BGM perturbationMOVE/MRI-COM-G2 driven by JRA-55 with BGM perturbation
Unperturbed control forecast?NoneNone

Detailed documentation: Toyoda T., Y. Fujii, T. Yasuda, N. Usui, T. Iwao, T. Kuragano, and M. Kamachi, 2013: Improved analysis of seasonal-interannual fields using a global ocean data assimilation system. Theor Appl Mech Jpn, 61, 31-48.


4. Model Uncertainties perturbations:

Model dynamics perturbationsNone
Model physics perturbationsStochastically Perturbed Parametrization Tendencies (SPPT) scheme

If there is a control forecast, is it perturbed?

Yes

Detailed documentation: Yonehara, H. and M. Ujiie, 2011: A stochastic physics scheme for model uncertainties in the JMA one-week ensemble prediction system. CAS/JSC WGNE Res. Act. Atmos. Ocean Model/WMO, 41, 6.09–6.10.

5. Forecast system and hindcasts

Forecast frequencyEvery 5 days
Forecast ensemble size13
Hindcast years1981-2016
Hindcast ensemble size10 (5 members with 15-day Lagged Average Forecast)
On-the-fly or static hindcast set?static

6. Other relevant information

The available hindcast start dates are as follows:

Start Month

Available Start Days

January

16 and 31

February

10 and 25

March

12 and 27

April

11 and 26

May

16 and 31

June

15 and 30

July

15 and 30

August

14 and 29

September

13 and 28

October

13 and 28

November

12 and 27

December

12 and 27

7. Where to find more information

General information:

Takaya, Y., S. Hirahara, T. Yasuda, S. Matsueda, T. Toyoda, Y. Fujii, H. Sugimoto, C. Matsukawa, I. Ishikawa, H. Mori, R. Nagasawa, Y. Kubo, N. Adachi, G. Yamanaka, T. Kuragano, A. Shimpo, S. Maeda, and T. Ose, 2018: Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 2 (JMA/MRI-CPS2): atmosphere–land–ocean–sea ice coupled prediction system for operational seasonal forecasting. Clim. Dyn., 50, 751-765.

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