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NOTES AND CORRESPONDENCE Flux Adjustment on Seasonal-Scale Sea Surface Temperature Drift in NICOCO.

Authors :
Ryusuke MASUNAGA
Tomoki MIYAKAWA
Takao KAWASAKI
Hisashi YASHIRO
Source :
Journal of the Meteorological Society of Japan; 2023, Vol. 101 Issue 3, p175-189, 15p
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00261165
Volume :
101
Issue :
3
Database :
Complementary Index
Journal :
Journal of the Meteorological Society of Japan
Publication Type :
Academic Journal
Accession number :
166096028
Full Text :
https://doi.org/10.2151/jmsj.2023-010