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titleWORK IN PROGRESS...

Table of Contents
styleNone

1. Forecast system version

Identifier code:  JMA/MRI-CPS2CPS3

First operational forecast run: June 2015 February 2022

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

TL319

(approx.

110km

55km)

Atmosphere vertical resolution
L60
L100
Top of atmosphere0.
1hPa
01hPa
Soil levels

Soil temperature : 1

(layers)

7

Layer 1 : 0 - 0.02 m
Layer 2 : 0.02 - 0.07
Layer 3 : 0.07 – 0.19 m
Layer 4 : 0.19 – 0.49 m
Layer 5 : 0.49 – 0.99 m
Layer 6 : 0.99 – 1.99 m

Layer 7 : 1.99 – 3.49 m
Soil moisture : 3
Time step
30
20 minutes

Detailed documentation: 

JMA, 20132019: 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.Research. Appendix to WMO Technical Progress Report on the Global Data-processing and Forecasting System and Numerical Weather Prediction, Tokyo, Japan.

Yonehara, H., C. Matsukawa, T. Nabetani, T. Kanehama, T. Tokuhiro, K. Yamada, R. Nagasawa, Y. Adachi, and R. Sekiguchi, 2020: Upgrade of JMA’s Operational Global Model. Research activities in Earth system modelling. Working Group on Numerical Experimentation. Report No. 50. WCRP Report No.12/2020. WMO, Geneva. Section 6, page 19.

2.2 Ocean and cryosphere

Ocean modelMRI.COM v3v4.6
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 25ºx0.25º on a tripolar grid)
Vertical resolutionL52 + Bottom Boundary Layer (BBL)L60
Time step20 10 minutes
Sea ice modelpart of MRI.COM v3v4.6
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, H. Nakano, K. Sakamoto, S. Urakawa, M. Hirabara, H. NakanoIshizaki, and G. Yamanaka, T. Yasuda, and H. Ishizaki, 20102017: Reference manual for the Meteorological Research Re-search Institute Community Ocean Model version 4 (MRI.COM) version 3. Technical Reports of the Meteorological Research Institute, 59, 273ppCOMv4). Tech. Rep. MRI, 80.

3. Initialization and initial condition (IC) perturbations

3.1 Atmosphere and land


HindcastForecast
Atmosphere initialization
Japanese 55-year Reanalysis Reanalysis for Three Quarters of a Century (JRA-553Q)Japanese 55-year Reanalysis (JRA-55Global Analysis (GA)
Atmosphere IC perturbationsBreeding Growth Method (BGM)Breeding Growth Method (BGM)

Land Initialization

Offline model runs forced by JRA-553QOffline model runs forced by JRA-553Q and GA
Land IC perturbationsNoneNone
Soil moisture initializationOffline model runs forced by JRA-553QOffline model runs forced by JRA-553Q and GA
Snow initializationOffline model runs forced by JRA-553QOffline model runs forced by JRA-553Q and GA
Unperturbed control forecast?NoneYesNoneYes

Data assimilation method for control analysis: 4D-VAR (atmosphere) and 3D 4D-VAR (ocean)

Horizontal and vertical resolution of perturbations:  TL159L60  TL319L100

Perturbations in +/- pairs: Yes

Detailed documentation: 
Kobayashi, S., Y. OtaKosaka, YJ. HaradaChiba, AT. EbitaTokuhiro, MY. Moriya, H. Onoda, K. Onogi, H. Kamahori, Harada, C. Kobayashi , and H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48Naoe, 2021: JRA-3Q: Japanese Reanalysis for Three Quarters of a Century. WCRP-WWRP Symposium on Data Assimilation and Reanalysis/ECMWF annual seminar 2021.

3.2 Ocean and cryosphere


HindcastForecast
Ocean initialization

Multivariate Ocean Variational Estimation (MOVE)/MRI.COM Global 2 3 system

(MOVE/MRI.COM-G2G3)

Multivariate Ocean Variational Estimation (MOVE)/MRI.COM Global 2 3 system

(MOVE/MRI.COM-G2G3)

Ocean IC perturbationsMOVE/MRI-COM-G2 driven by JRA-55 with BGM perturbationEnsemble perturbations approximating analysis error covariances using minimization historiesEnsemble perturbations approximating analysis error covariances using minimization historiesMOVE/MRI-COM-G2 driven by JRA-55 with BGM perturbation
Unperturbed control forecast?NoneYesNoneYes

Detailed documentation:Toyoda T 

Usui, N., Y. Fujii, T. Yasuda, N. Usui, T. Iwao, T. Kuragano, K. Sakamoto, and M. Kamachi, 20132015: Improved analysis Development of seasonal-interannual fields using a global ocean data assimilation system. Theor Appl Mech Jpn, 61, 31-48.a Four-Dimensional Variational Assimilation System toward Coastal Data Assimilation around Japan. Mon. Wea. Rev., 143, 3874-3892.

https://ds.data.jma.go.jp/tcc/tcc/products/elnino/move_mricom-g3_doc.html

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 daysdaily
Forecast ensemble size135 per day
Hindcast years19811991-20162020
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:(NOTE: hindcasts are just available for dates highlighted in bold and underlined)

Start MonthAvailable Start Days
January

1, 6, 11, 16 , 21, 26 and 31

February5, 10 , 15, 20 and 25
March2, 7, 12 , 17, 22 and 27
April1, 6, 11 , 16, 21 and 26
May1, 6, 11, 16 , 21, 26 and 31
June5, 10, 15 , 20, 25 and 30
July5, 10, 15 , 20, 25 and 30
August4, 9, 14, 19, 24 and 14 and 29
September3, 8, 13, 18, 23 and 13 and 28
October3, 8, 13, 18, 23 and 13 and 28
November2, 7, 12, 17, 22 and 12 and 27
December2, 7, 12, 17, 22 and 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.

https://ds.data.jma.go.jp/tcc/tcc/products/model/outline/cps3_description.html

https://ds.data.jma.go.jp/tcc/tcc/products/elnino/move_mricom-g3_doc.html