Search Results 1-5 of 5

  • Role of Local Air-Sea Interaction in a Significant Correlation of Convective Activity in the Western Pacific Warm Pool between June and August

    XUE Feng , FAN Fangxing

    … In this process, the local air–sea interaction plays a major role in regulating SST anomalies from June to August and forming the consistent warm pool convection anomalies in June and August. … In general, the local air–sea interaction effect plays an essential role in the significant correlation of convective activity between June and August, although this correlation also depends on the intensity of the El Niño forcing.</p> …

    Journal of the Meteorological Society of Japan. Ser. II 97(5), 995-1008, 2019

    J-STAGE 

  • Turbulent Heat Flux Reconstruction in the North Pacific from 1921 to 2014

    SONG Bin , ZHI Xiefei , PAN Mengting , HOU Meiyi , HE Chengfei , FRAEDRICH Klaus

    … <p> Turbulent heat flux is the main passageway for air–sea interactions. … These examinations show that the reconstructed turbulent heat flux can reproduce well the main features of air–sea interaction in the North Pacific, which can be used in the studies of air–sea interaction in the North Pacific on multidecadal timescales.</p> …

    Journal of the Meteorological Society of Japan. Ser. II 97(4), 893-911, 2019

    J-STAGE 

  • In Situ Evidence of Low-Level Atmospheric Responses to the Oyashio Front in Early Spring

    KAWAI Yoshimi , NISHIKAWA Hatsumi , OKA Eitarou

    <p> Previous modeling studies have indicated that the Oyashio front in the subarctic Pacific Ocean significantly affects the atmosphere on meso- to basin scales; however, there were no in situ o …

    Journal of the Meteorological Society of Japan. Ser. II 97(2), 423-438, 2019

    J-STAGE 

  • Low-Frequency Variability and Possible Changes in the North Pacific Simulated by CMIP5 Models

    WANG Jiangman , LI Chun

    … Results showed that most of these models captured the two low-frequency modes, but the air–sea coupling relationship (covariability of the ocean low-frequency modes with the atmospheric forcing modes) captured by CMIP5 models had drastic differences. … Four models (CCSM4, CESM-WACCM, MIROC5, and NorESM1-M) not only captured the spatial and temporal characteristics of the PDO and NPGO modes but also simulated their air–sea coupling relationships. …

    Journal of the Meteorological Society of Japan. Ser. II 95(3), 199-211, 2017

    J-STAGE 

  • Scaling Surface Mixing/Mixed Layer Depth under Stabilizing Buoyancy Flux

    Yoshikawa Yutaka

    … These findings will contribute to better understanding of the response of stabilized mixing/mixed layer depth to surface forcings and hence better estimation/prediction of several processes related to stabilized mixing/mixed layer depth such as air–sea interaction, subduction of surface mixed layer water, and spring blooming of phytoplankton biomass. …

    Journal of Physical Oceanography 45(1), 247-258, 2015-01

    IR 

Page Top