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ModelJMA-GSM
Horizontal resolution and grid

TL159

(approx. 110km)

Atmosphere vertical resolutionL60
Top of atmosphere0.1hPa
Soil levels3
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 et al., 2010, 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

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Perturbations in +/- pairs: Yes

Detailed documentation: Kobayashi et al., 2015Kobayashi, 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 et al., 2011T., 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

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