Satellite observations of sea surface temperature and sea surface wind coupling in the Japan Sea

2006 ◽  
Vol 111 (C8) ◽  
Author(s):  
Teruhisa Shimada ◽  
Hiroshi Kawamura
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Surface Wind ◽  
Japan Sea ◽  
Satellite Observations ◽  
Sea Surface ◽  
Sea Surface Wind ◽  
The Japan Sea

scholarly journals Sea surface wind perturbations over the Kashevarov Bank of the Okhotsk Sea: a satellite study

2011 ◽  
Vol 29 (2) ◽  
pp. 393-399
Author(s):  
T. I. Tarkhova ◽  
M. S. Permyakov ◽  
E. Yu. Potalova ◽  
V. I. Semykin
Keyword(s):  
Wind Speed ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Surface Wind ◽  
Sea Surface ◽  
Cold Spot ◽  
Okhotsk Sea ◽  
Autumn Period ◽  
Sea Surface Wind ◽  
Spot Center

Abstract. Sea surface wind perturbations over sea surface temperature (SST) cold anomalies over the Kashevarov Bank (KB) of the Okhotsk Sea are analyzed using satellite (AMSR-E and QuikSCAT) data during the summer-autumn period of 2006–2009. It is shown, that frequency of cases of wind speed decreasing over a cold spot in August–September reaches up to 67%. In the cold spot center SST cold anomalies reached 10.5 °C and wind speed lowered down to ~7 m s−1 relative its value on the periphery. The wind difference between a periphery and a centre of the cold spot is proportional to SST difference with the correlations 0.5 for daily satellite passes data, 0.66 for 3-day mean data and 0.9 for monthly ones. For all types of data the coefficient of proportionality consists of ~0.3 m s−1 on 1 °C.

scholarly journals Sea surface temperature changes due to polar lows over the Nordic Seas

2020 ◽  
Vol 65 (4) ◽  
Author(s):  
Pavel A. Golubkin ◽  
◽  
Julia E. Smirnova ◽  
Vsevolod S. Kolyada ◽  
◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Microwave Radiometer ◽  
Surface Wind ◽  
Sea Surface ◽  
Polar Lows ◽  
Wind Speeds ◽  
Sea Surface Wind ◽  
Polar Low ◽  
Upper Mixed Layer

In this study possible changes in sea surface temperature (SST) caused by passage of polar lows and analyzed. Polar lows are extreme atmospheric phenomena inherent to high latitudes. They develop sea surface wind speeds from 15 m/s up to hurricane force values and are characterized by small sizes (on average, 300 km) and lifetimes (less than two days), which complicates their detection and studies. It is assumed that as in case of tropical cyclones, which may considerably lower SST due to intense mixing and entrainment of colder waters to the ocean upper mixed layer, polar lows could similarly influence SST. Moreover, in the high latitude areas, where salt stratification may be present instead of temperature stratification, SST may increase due to mixing with deeper warmer layer. In this study 330 polar lows were analyzed using satellite passive microwave radiometer measurements of SST. In result, 47 cases when average SST values changed in polar low forcing areas were found. Out of these cases, in six cases SST increase of at least 0.5 °С was found, and in fifteen cases SST decrease of at least 0.5 °С was found. This indicates that upper ocean response to polar lows is quite rare phenomenon, which should be further analyzed along with its possible role in the ocean-ice-atmosphere system.

scholarly journals Supplemental Material: An intensified East Asian winter monsoon in the Japan Sea between 7.9 and 6.6 Ma

2020 ◽  
Author(s):  
Kenji Matsuzaki ◽  
et al.
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
East Asian Winter Monsoon ◽  
East Asian ◽  
Japan Sea ◽  
Winter Monsoon ◽  
Sea Surface ◽  
Asian Winter Monsoon ◽  
The Japan Sea

Details of the method used to estimate radiolarian-based sea-surface temperature.<br>

scholarly journals Analysis of Wave-Induced Stokes Transport Effects on Sea Surface Temperature Simulations in the Western Pacific Ocean

2021 ◽  
Vol 9 (8) ◽  
pp. 834
Author(s):  
Zhanfeng Sun ◽  
Weizeng Shao ◽  
Weili Wang ◽  
Wei Zhou ◽  
Wupeng Yu ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Surface Wind ◽  
Japan Sea ◽  
Ocean Model ◽  
Sea Surface ◽  
Stokes Drift ◽  
Wind Data ◽  
Wave Measurements ◽  
Stokes Transport

This study investigated the performance of two ocean wave models, that is, Simulation Wave Nearshore (SWAN) and WAVEWATCH-III (WW3), and the interannual and seasonal variability of transport induced by Stokes drift during the period from 1989 to 2019. Three types of sea surface wind products were used for wave simulation: the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim, the Cross Calibrated Multi-Platform Version 2.0 (CCMP V2.0) from Remote Sensing Systems (RSS), and the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS). The modeling was validated against wave measurements from the Jason-2 altimeter in 2015. The analysis found that the root mean square error (RMSE) of significant wave height (SWH) from the WW3 model using CCMP wind data was 0.17 m, which is less than the ~0.6-m RMSE of SWH from the SWAN model using the other types of wind data. The simulations from the WW3 model using CCMP wind data indicated that the Stokes transport is up to 2 m2/s higher in the South China Sea and Japan Sea than that at other ocean regions in January. The interannual variation showed that the Stokes transport generally increased from 0.25 m2/s in 1989 to 0.35 m2/s in 2018. We also found that the accuracy of the sea surface temperature (SST) simulation using the Stony Brook Parallel Ocean Model (sbPOM) is improved by as much as 0.5 °C when Stokes transport is considered to validate the sbPOM-simulated SST against the measurements from Argo in 2012-2015. In particular, the Stokes transport has a negative effect on Summer (March to June) and has a positive effect in Autumn (July to September), which is probably caused by the tropical cyclones.

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