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Numerical simulation of the wave-induced Stokes drift effect on sea surface temperature in the North Pacific Cover

Numerical simulation of the wave-induced Stokes drift effect on sea surface temperature in the North Pacific

By: Jingdong Liu,  Jian Shi and  Wenjing Zhang  
Open Access
|Dec 2019

Figures & Tables

Figure 1

Geographical location of the North Pacific
Geographical location of the North Pacific

Figure 2

Annual averaged significant wave height
Annual averaged significant wave height

Figure 3

Differences between WAVEWATCH III-simulated results and the ECMWF product
Differences between WAVEWATCH III-simulated results and the ECMWF product

Figure 4

Locations of the North Pacific NDBC buoys and TAO buoys
Locations of the North Pacific NDBC buoys and TAO buoys

Figure 5

Distribution of the surface Stokes drift velocity
Distribution of the surface Stokes drift velocity

Figure 6

Comparison of the surface Stokes drift velocities and HYCOM velocities and parameter b (the red curve shows the change in the monthly averaged sea surface Stokes drift velocity with latitude; the black curve shows the change in monthly averaged HYCOM surface ocean velocity with latitude; the blue curve represents the change in the velocity ratio b with latitude)
Comparison of the surface Stokes drift velocities and HYCOM velocities and parameter b (the red curve shows the change in the monthly averaged sea surface Stokes drift velocity with latitude; the black curve shows the change in monthly averaged HYCOM surface ocean velocity with latitude; the blue curve represents the change in the velocity ratio b with latitude)

Figure 7

Distribution of Stokes transport
Distribution of Stokes transport

Figure 8

Ekman-Stokes number variation curve (the curve shows the variation in the latitudinal average Ekman-Stokes number with latitude)
Ekman-Stokes number variation curve (the curve shows the variation in the latitudinal average Ekman-Stokes number with latitude)

Figure 9

Es varies with wind speed and latitude (the black curve shows the zonal average at 15°N with wind speed; the red curve shows the zonal average at 30°N with wind speed; the green curve indicates the zonal average at 45°N with wind speed; the blue curve indicates the zonal average at 60°N with wind speed)
Es varies with wind speed and latitude (the black curve shows the zonal average at 15°N with wind speed; the red curve shows the zonal average at 30°N with wind speed; the green curve indicates the zonal average at 45°N with wind speed; the blue curve indicates the zonal average at 60°N with wind speed)

Figure 10

Langmuir number
Langmuir number

Figure 11

Stokes drift influence depth
Stokes drift influence depth

Figure 12

Differences between SST values simulated without the Stokes drift and OISST data
Differences between SST values simulated without the Stokes drift and OISST data

Figure 13

Optimal value α
Optimal value α

Figure 14

Differences between SST values simulated with the Stokes drift and OISST data
Differences between SST values simulated with the Stokes drift and OISST data

Figure 15

Comparison of simulated and buoy-measured temperature profiles
Comparison of simulated and buoy-measured temperature profiles

Figure 16

Simulated results of different Stokes drift parameterization schemes
Simulated results of different Stokes drift parameterization schemes

The number of buoy values (N)

buoyNbuoyNbuoyN
510008745460068734TAO18756
510038747460708740TAO28755
510048750460718741TAO38753
522008738511018736TAO48751
460018735214138739TAO58754
460028742214198740TAO68755
460728730524048733TAO78753
460758743524018739
460058737524028736

Comparison of simulated SST and buoy SST

buoyNo Stokes driftStokes drift
RMSD (°C)RSSRMSD (°C)RSS
510000.900.770.730.820.780.74
510030.890.800.770.830.830.81
510041.250.840.791.120.850.80
522001.460.840.821.250.850.83
460011.230.870.861.130.880.88
460021.100.820.780.910.850.82
460721.240.940.881.010.940.90
460751.410.880.851.130.880.87
460052.060.970.951.870.970.96
460061.430.860.811.280.860.85
460700.770.870.820.600.890.83
460710.530.930.890.520.940.93
511010.810.910.860.800.930.89
214131.220.880.830.990.890.84
214191.160.780.771.090.800.78
524040.990.870.850.830.880.88
524011.070.790.770.900.800.77
524020.970.790.740.960.820.76
TAO10.650.910.870.520.920.89
TAO20.740.870.840.580.880.84
TAO30.820.830.780.780.840.80
TAO41.120.850.801.020.850.81
TAO51.140.900.810.990.940.83
TAO60.920.810.920.850.840.95
TAO71.210.870.821.030.880.82
Average1.080.860.820.950.870.84

Comparison of simulated values and buoy values

buoyME (cm)RMSD (cm)RSS
51000−13.6421.690.840.83
51003−11.1117.320.890.84
51004−9.7114.390.920.86
522001.037.520.950.91
46001−3.5315.380.940.88
46002−3.5920.220.880.81
4607212.1832.190.900.71
46075−7.0112.790.930.89
46005−1.3918.370.910.80
46006−6.8723.520.890.68
46070−9.6318.850.910.82
460713.7519.330.880.77
51101−8.2921.030.930.87
21413−5.6315.980.880.84
21419−10.6520.810.930.91
52404−7.2323.060.850.75
52401−2.009.670.950.90
52402−3.6823.520.920.86

RMSD of experiments E-1, E-2, E-3, and E-4 (°C)

BuoyE-1E-2E-3E-4
510000.820.860.850.85
510030.830.850.870.83
510041.121.221.241.19
522001.251.351.331.32
460011.131.211.201.15
460020.911.041.020.93
460721.011.191.171.12
460751.131.181.151.20
460051.871.821.801.75
460061.281.391.351.34
460700.600.780.770.65
460710.520.610.640.58
511010.800.900.890.83
214130.991.131.111.08
214191.091.171.161.13
524040.831.031.010.98
524010.901.131.121.10
524020.961.111.091.04
TAO10.520.640.620.55
TAO20.580.690.670.70
TAO30.780.900.880.87
TAO41.021.201.191.16
TAO50.991.101.091.04
TAO60.850.960.950.92
TAO71.031.151.141.14
Average0.951.061.051.02

Comparison of simulated subsurface temperature and buoy data

buoyNo Stokes drift Stokes drift
RMSD (°C)RSSRMSD (°C)RSS
510000.650.830.720.880.840.81
510031.380.860.800.930.830.77
510040.940.960.830.920.920.92
522000.530.780.800.510.840.85
460011.770.840.761.930.800.79
460020.860.910.910.840.850.87
460721.670.830.871.550.830.85
460752.110.850.801.430.790.86
460050.910.840.741.270.920.83
460060.730.920.830.930.880.85
460700.940.930.941.690.850.78
460710.820.860.840.950.900.86
511010.980.850.870.840.840.91
214130.770.780.910.870.870.87
214190.740.910.880.820.880.90
524041.260.880.831.250.890.78
524011.640.780.810.970.790.81
524020.770.870.930.950.770.89
TAO11.740.820.821.340.850.86
TAO20.520.950.850.750.860.89
TAO31.090.820.870.890.910.91
TAO40.660.860.930.690.850.88
TAO50.920.900.870.900.860.85
TAO61.370.830.781.130.840.81
TAO70.810.930.841.030.830.87
Average1.060.860.841.050.850.85
DOI: https://doi.org/10.2478/ohs-2019-0034 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
Language: English
Page range: 381 - 403
Submitted on: Jan 6, 2019
Accepted on: May 7, 2019
Published on: Dec 10, 2019
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Jingdong Liu, Jian Shi, Wenjing Zhang, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.