Journal of the Meteorological Society of Japan. Ser. II
Online ISSN : 2186-9057
Print ISSN : 0026-1165
ISSN-L : 0026-1165
Current issue
Displaying 1-2 of 2 articles from this issue
Notes and Correspondence: Special Edition on the Frontier of Atmospheric Science with High-Performance Computing
  • Ryusuke MASUNAGA, Tomoki MIYAKAWA, Takao KAWASAKI, Hisashi YASHIRO
    2023 Volume 101 Issue 3 Pages 175-189
    Published: 2023
    Released on J-STAGE: June 01, 2023
    Advance online publication: February 07, 2023

    High-resolution atmosphere–ocean coupled models are the primary tool for subseasonal to seasonal-scale (S2S) prediction. However, seasonal-scale sea surface temperature (SST) drift is inevitable due to the imbalance between the model components, which may deteriorate the prediction skill. Here, we investigate the performance of a simple flux adjustment method specifically designed to suppress seasonal-scale SST drift through case studies. The Nonhydrostatic Icosahedral Atmospheric Model (NICAM)–Center for Climate System Research Ocean Component Model (COCO) coupled weather/climate model, referred to as NICOCO, was used for wintertime 40-day integrations with a horizontal resolution of 14 km for the atmosphere and 0.25° for the ocean components. The coupled model with no flux adjustment suffers SST drift of typically −1.5–2°C in 40 days over the tropical, subtropical, and Antarctic regions. Simple flux adjustment was found to sufficiently suppress the SST drift. Nevertheless, the lead–lag correlation analysis revealed that air-sea interactions are likely to be appropriately represented under flux adjustment. Thus, high-resolution coupled models with flux adjustment can significantly improve S2S prediction.

  • Masuo NAKANO, Ying-Wen CHEN, Masaki SATOH
    2023 Volume 101 Issue 3 Pages 191-207
    Published: 2023
    Released on J-STAGE: June 01, 2023
    Advance online publication: February 24, 2023

    Typhoon Krosa (2019) formed in the eastern part of the Philippine Sea and ~ 1400 km east of another typhoon, Lekima, on 6 August and made landfall in the western part of Japan's mainland on 15 August. The operational global model forecasts, which were initialized just after Krosa's formation, showed a very large uncertainty and completely failed to predict the actual track of Krosa. In this study, we investigated the causes of this large uncertainty through 101-member ensemble forecast experiments using a 28-km mesh global nonhydrostatic model. The experiments initialized at 1200 UTC 6 August showed a large uncertainty. An ensemble-based lagged correlation analysis indicated that the western North Pacific subtropical high (WNPSH) retreated further east in the members with large track forecast errors than in the members with small errors. For the members with a large track forecast error for Krosa, Krosa and Lekima approached each other by 250 km, and Krosa moved northward faster than the observation in 36 h from the initialization time. For the members with a small track forecast error for Krosa, the two typhoons approached each other by only 50 km, and the northward moving speed was comparable with that of the observation. The typhoon-center relative composite analysis exhibited that at the initialization time, the members with a large Krosa track forecast error had a larger horizontal size of Krosa, and the difference in Krosa's size was kept during the forecast period. This difference in size led to a stronger interaction between the two typhoons and the retreatment of the WNPSH, thus resulting in a fast northward moving speed for the members with a large Krosa track error.