Japan Meteorological Agency/Meteorological Research Institute Coupled Prediction System Version 3 (JMA/MRI–CPS3)

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  • HIRAHARA Shoji
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • KUBO Yutaro
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • YOSHIDA Takuma
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • KOMORI Takuya
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • CHIBA Jotaro
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • TAKAKURA Toshinari
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • KANEHAMA Takafumi
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • SEKIGUCHI Ryohei
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan
  • OCHI Kenta
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan
  • SUGIMOTO Hiroyuki
    Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan Atmosphere and Ocean Department, Japan Meteorological Agency, Tokyo, Japan
  • ADACHI Yukimasa
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • ISHIKAWA Ichiro
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • FUJII Yosuke
    Numerical Prediction Development Center, Japan Meteorological Agency, Tsukuba, Japan Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan

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Other Title
  • 第３世代気象庁／気象研究所結合予測システム（JMA/MRI-CPS3）

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Abstract

<p>A new operational seasonal forecast system, Japan Meteorological Agency (JMA)/Meteorological Research Institute (MRI) Coupled Prediction System (CPS) version 3 (JMA/MRI–CPS3), has been developed. This system represents a major upgrade from the former system, CPS2. CPS3 comprises atmosphere, land, ocean, and sea ice forecast models and the necessary initialization systems for these models. For historical reforecasts, the atmospheric reanalysis dataset JRA-3Q provides initial conditions for the atmosphere and external forcings for land, ocean, and sea ice analysis. In the operational forecast, to initialize the system in near-real time, JMA's operational atmospheric analysis is used in conjunction with JRA-3Q. Next, the land surface model is initialized using an uncoupled free simulation, forced by the atmospheric analysis. The ocean and sea ice models are initialized with the global ocean data assimilation system MOVE-G3, which incorporates a newly developed four-dimensional variational method for temperature, salinity, and sea surface height and a three-dimensional method for sea ice concentration. Compared with the previous system, the CPS3 forecast model components exhibit ∼ 2–4 times higher resolution: the atmosphere and land models are configured with ∼ 55 km horizontal resolution, with 100 vertical atmosphere layers; and the ocean and sea ice models exhibit a resolution of 0.25° × 0.25°, with 60 vertical ocean layers. The physical processes of the atmosphere are greatly refined in CPS3 relative to CPS2, resulting in improved representation of subseasonal to seasonal scale variability, including the eastward propagation of the Madden–Julian Oscillation, winter blocking highs in the North Atlantic, and coupled atmosphere–ocean variability during El Niño–Southern Oscillation events. Our historical reforecast experiment for 1991–2020 suggests that CPS3 demonstrates greater forecast skills than CPS2. The usability of the model output has been improved in CPS3 by reorganizing the operation schedule to provide daily updates of five-member ensemble forecasts.</p>

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