1. Introduction
Coupling between the ocean and atmosphere is driven by turbulent air–sea fluxes of momentum, energy, heat, and gases, and influences the evolution of marine weather and climate patterns. Constraining these air–sea fluxes in numerical models continues to be a challenge due to our incomplete understanding of near-surface air/water turbulence that is strongly modified by surface wave processes (Cronin et al. 2019).
Previous studies have addressed the impacts of surface waves on the wind profile and drag coefficient Cd (e.g., Moon et al. 2003, 2004, 2009; Fan et al. 2009; Donelan et al. 2012; Reichl et al. 2014), often focusing on key wave parameters such as the wave age and wave slope (e.g., Banner 1990; Belcher et al. 1993; Donelan et al. 1993; Makin and Kudryavtsev 1999; Donelan 2004; Donelan et al. 2006; Edson et al. 2013). In several modeling studies, sea-state-dependent Cd parameterizations based on full surface wave spectra have been developed to account for the effects of complex sea states in high to extreme winds, including conditions in which Cd saturates or even decreases with increasing wind speed (Moon et al. 2004; Hara and Belcher 2002, 2004; Fan et al. 2009; Donelan et al. 2012; Reichl et al. 2014). Constraining parameterizations of Cd, wave growth, and dissipation over a range of wave spectral conditions, including waves misaligned with and opposing wind, remains the focus of a very active area of research.
Several studies have aimed to address the effects of wind-wave misalignment (the difference between the wave direction and the wind speed direction θ) on wave growth and dissipation (e.g., Tolman and Chalikov 1996; Meirink et al. 2003; Kudryavtsev and Makin 2004; Ardhuin et al. 2007), as well as on the wind stress vector and Cd (Geernaert 1988; Geernaert et al. 1993; Bourassa et al. 1999; Grachev et al. 2003; Suzuki et al. 2010). Misalignment between wind and dominant surface waves occurs frequently in the open ocean over swells with low-to-moderate wind conditions (Donelan et al. 1997; Drennan et al. 1999; Donelan and Dobson 2001; Grachev et al. 2003; Ardhuin et al. 2007; Edson et al. 2007; Högström et al. 2015; Patton et al. 2019) as well as transient high wind conditions coupled to complex seas (Wright et al. 2001; Walsh et al. 2002; Black et al. 2007; Holthuijsen et al. 2012; Fan et al. 2009). Due to the challenges of in situ observations, the effects of wind-wave misalignment on the wind stress vector, drag coefficient, wave growth, and dissipation remain poorly constrained. Even for typical wave fields with dominant waves aligned with the wind, real ocean wave spectra always contain significant contributions from misaligned waves. Therefore, improved understanding of the interaction between wind and misaligned waves is essential for developing models of sea-state-dependent drag coefficient.
In Part I of this study (Husain et al. 2021, hereafter Part I), we used LES to investigate the turbulent airflow over a steep wave train (ak = 0.27, k is wavenumber and a is wave amplitude) following and opposing wind for
In Part II of this study, we use an identical LES approach of turbulent airflow over surface waves to expand on Part I by considering waves following and opposing wind at oblique angles (θ = 22.5°, 45°, 67.5°). Previous observational studies have proposed empirical scaling coefficients of the wave growth rate such as cos(θ) (e.g., Plant 1982; Snyder et al. 1981) and [Uλ/2cos(θ) − c]2 (e.g., Donelan 1999; Donelan et al. 2006, 2012). Previous theoretical studies tend to point toward cos2(θ) (e.g., Mastenbroek 1996; Burgers and Makin 1993; Li et al. 2000; Meirink et al. 2003). The latter two parameterizations are frequently used in existing wave prediction models. To our knowledge, the wave decay rate of waves opposing oblique wind has not been investigated. Furthermore, our understanding of the effects of obliquely propagating waves on the mean wind profile and drag coefficient remains limited.
The goal of this study (Part II) is to address how the wave growth/decay rate, mean wind profile (magnitude and direction), effective roughness length, and drag coefficient are modified by steep, strongly forced waves following/opposing oblique wind (
2. Methods
a. LES setup
We use an LES methodology of turbulent airflow over surface waves that is identical to previous studies (Sullivan et al. 2014; Hara and Sullivan 2015; Sullivan et al. 2018; Husain et al. 2019; Part I), all of which use pressure-driven channel flow over a wavy surface propagating through a domain with doubly periodic horizontal boundary conditions and a free-slip flat-top boundary. Here, we define time t, the along-wave x coordinate, the cross-wave y coordinate, and the vertical coordinate z pointing upward in the positive direction with z = 0 at the mean water surface. Velocities (u, υ, w) are in the (x, y, z) directions.
We consider a monochromatic wave train propagating in the x direction (
For the actual LES, the waves always propagate in the positive x direction and the pressure gradient force (i.e., negative pressure gradient) is applied in the directions of 0°, 22.5°, 45°, 67.5°, 180°, 202.5°, 225°, and 247.5° (measured from the x axis in the counterclockwise direction; see Fig. 1, left panel). However, for the data analysis and discussion, the wave direction for the last two cases is reversed. Therefore, for the eight wind-wave conditions examined in this study, the wave directions are (0°, 0°, 0°, 0°, 180°, 180°, 180°, 180°) and the wind stress directions θ are (0°, 22.5°, 45°, 67.5°, 0°, 22.5°, 45°, 67.5°), respectively (see Fig. 1, right panel).
Schematic of wind stress, wave phase speed, and surface wave elevation in the ξ–y coordinate for (left) the LES simulation and (right) data analysis. For simplicity, only the cases of θ = 0° (solid) and 45° (dashed) are shown. In LES, the direction of wave phase speed (c) is from left to right both for waves following wind (orange) and opposing wind (blue) with opposing wind stress directions determined by an external pressure gradient. In our data analysis, we present waves opposing wind (blue) with c directed from right to left and the wind stress in the same direction as waves following wind (orange).
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
The subgrid and surface stress parameterizations are identical to those in Part I. The background surface roughness zob along the resolved wavy surface is set at a constant kzob = 2.7 × 10−3, which accounts for the form drag of unresolved waves and the surface viscous stress. As in Part I we focus on a steep wave train of ak = 0.27. The wind forcing is set at
Each simulation is run for approximately 100 000 time steps and averaged over the last 20 000 time steps after the wind field has reached a statistically steady state. Sullivan et al. (2014) and Sullivan et al. (2018) provide a full description of the LES algorithm and numerical methods used to solve the governing equations.
b. Data analysis
Using the triple decomposition (separating all relevant variables ψ into phase average
3. Results and discussion
In general, the flow field transitions smoothly as the wind stress direction θ increases from 0° to 22.5°, 45°, and 67.5°, i.e., as the wind-wave misalignment angle increases. Therefore, the discussions in this section mainly focus on comparing the flow field of oblique wind (θ = 45°) to that of aligned wind (θ = 0°). The results of θ = 22.5° and θ = 67.5° are included only when their impacts on the wave growth/decay rate and the equivalent roughness length (drag coefficient) are discussed.
a. 2D phase-averaged airflow
In this section, all flow fields presented are normalized by
Normalized phase-averaged flow fields in the ξ–z coordinate (top two rows) for waves following wind (oblique wind in second row) and (bottom two rows) for waves opposing wind (oblique wind in fourth row). From left to right: along-wave velocity [
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
Figure 2 includes the streamwise velocity [
(left three columns) Normalized phase-averaged flow fields in the ξ–z coordinate and (right three columns) the mapped ξ–ζ coordinate (top two rows) for waves following wind (oblique wind in second row) and (bottom two rows) for waves opposing wind (oblique wind in fourth row). From left to right: turbulent kinetic energy (
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
(left three columns) Normalized phase-averaged flow fields in the ξ–z coordinate and (right three columns) the mapped ξ–ζ coordinate for (top two rows) waves following wind (oblique wind in second row) and (bottom two rows) waves opposing wind (oblique wind in fourth row). From left to right: vorticity magnitude [
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
(left three panels) Normalized phase-averaged flow fields in the ξ–z coordinate and (right three panels) the mapped ξ–ζ coordinate for (top two rows) waves following wind (oblique wind in second row) and (bottom two rows) waves opposing wind (oblique wind in fourth row). From left to right: the along-wave component (
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
First, we examine the phase averaged velocity and pressure fields in Fig. 2. In the oblique wind cases with waves following or opposing wind, the along-wave velocity (in the x direction) is reduced, but the overall patterns remain very similar to those of the aligned wind cases (Figs. 2a–d). The cross-wave velocity (in the y direction) is introduced in the oblique cases (Figs. 2e,f) and is much stronger than the along-wave velocity (Figs. 2b,d). We will later show that even in a fixed coordinate,
With the oblique wind, both the along-wave and cross-wave velocities are significantly reduced over the leeward face of the wave (Figs. 2b,d–f), suggesting that intermittent airflow separations (or separation-like flows) are modifying the wind fields, as in the aligned wind cases (Figs. 2a,c). The vertical velocity is slightly weaker in the oblique cases, but the patterns remain largely unchanged from the aligned cases (Figs. 2g–j).
As expected, the pressure along the wave phase weakens with oblique wind as less wind forcing is exerted onto the wave shape in the x direction (Figs. 2k–n), resulting in weaker surface pressure and total normal stress than in the aligned cases (Figs. 2A,C). Interestingly, the surface tangential stress in the along-wave direction is even more reduced with oblique winds (Figs. 2B,D), possibly because the horizontally averaged wind vector very close to the surface is rotated by almost 65°–68° from the x direction, as discussed later.
Next, we examine the phase averaged fields of TKE, dissipation rate, and horizontal vorticity magnitude in Fig. 3. For both aligned and oblique cases, regions of enhanced dissipation and vorticity appear to detach from the crest and extend downstream above the dead zone of significantly reduced TKE, dissipation rate, and vorticity on the leeward face of the wave. The enhanced TKE above the crest appears to be advected by the high velocity just above the detached high vorticity layer. These patterns are quite similar between the aligned and oblique wind cases, and suggest that flow is intermittently separating from the crest (or exhibiting separation-like patterns) even in oblique winds.
In general, the opposing and following wave cases in oblique winds are similar, except that the faster relative wind speed in the opposing case tends to limit the vertical extent of the wave induced flow perturbations closer toward the surface (cf. Figs. 3b,f,j,d,h,l). The same trend has been observed in the aligned wind cases in Part I.
One notable difference exists between the oblique and aligned wind cases. The high vorticity and high dissipation regions along the wavy surface are mostly confined near the crest in the aligned wind cases (Figs. 3E,G,I,K). However, these regions extend upstream all the way to the wave trough in the oblique wind cases (Figs. 3F,H,J,L). Consequently, the reduction of dissipation rate and vorticity in the dead zone is muted with the oblique wind.
To shed more light on these features, we next examine the along-wave and cross-wave vorticity components separately in Fig. 4. It is clear that the detached layer of enhanced vorticity is present in both directions (Figs. 4F,I,H,J) in the oblique cases. The crosswind vorticity simply weakens in oblique winds, but its patterns remain very similar between the aligned and oblique cases with reduced vorticity in the dead zone (Figs. 4E–H). In contrast, the along-wave vorticity remains strong along the entire surface, and especially along the windward face and the crest of the wave (Figs. 4I,J). This enhanced along-wind vorticity appears to be well correlated with the enhanced dissipation in the same location (Figs. 3F,H). The enhancement of along-wind vorticity and dissipation rate on the windward side of the crest (between the trough and following crest) may be related to reattachment of the separated oblique wind flow. We will later show that the cross-wave wave-coherent velocity
One interesting feature for waves opposing oblique winds is the presence of a region of negative cross-wave vorticity near the trough (Fig. 4H). In Part I, we have shown that for waves opposing wind a region of negative cross-wave vorticity near the trough intensifies as waves get faster, and is associated with separation-like detachment of airflow from the surface. In such a region wind shear is negative; that is, the wind speed decreases with height. However, in the case of oblique wind, the mean wind direction is close to 70° (as explained later) and the along-wave vorticity remains strong in the same region. Therefore, the wind speed magnitude increases with height.
In Fig. 5, we separate the TKE into along-wave (
In the oblique case, the along-wave component of the TKE is drastically reduced and the cross-wave component is significantly larger. This is consistent with the fact that both mean wind speed and mean wind shear are rotated by more than 45° from the x axis, as discussed later. The enhancement of the cross-wave component on the windward side of the crest is observed in the oblique wind cases as well (Figs. 5f,h,F,H). This enhancement is possibly related to the enhanced along-wind vorticity (Figs. 4I,J) with large
b. Instantaneous vorticity fields
To demonstrate the transient character of the flow field over waves in oblique wind, in Fig. 6 we display instantaneous snapshots of horizontal vorticity magnitude [
Normalized instantaneous vorticity magnitude [
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
In oblique wind near the surface (kζ = 0.06), the areas of enhanced vorticity magnitude are significantly expanded from the crest toward the upwind trough compared with the aligned wind cases, as expected from Figs. 4B and 4D. The region of reduced vorticity just downstream of the crest is narrower. Their pattern is also modified since it is aligned with the oblique mean wind direction. Similar to the aligned case, the signature of advected high vorticity is still visible at kζ = 0.40.
c. Horizontally averaged wind profiles in mapped coordinates
Next, we investigate the vertical profiles of the horizontally averaged wind variables in the mapped (ζ) coordinate, including mean wind speed, mean wind shear, TKE and its components, shown in Fig. 7. In the following subsections profiles for waves following (opposing) aligned wind are shown as thick orange (blue) lines, and profiles for waves following (opposing) oblique wind are shown as thin orange (blue) lines. All the profiles are displayed up to kζ = 2.
(a),(d),(g),(j) Normalized vertical profiles of horizontally averaged along-wave wind speed (
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
The four panels in the top row of Fig. 7 display vertical profiles of the horizontally averaged mean wind speed vector. The x and y components of the wind vector,
As discussed in Part I, the wind speed magnitude (Fig. 7g) in the aligned cases (thick orange and blue lines) is significantly reduced from the wind profile for a flat wall (thick gray line) near the top of the domain, indicating that the equivalent surface roughness is increased for both waves following and opposing wind, with the latter having a slightly higher roughness length. However, the wind speed magnitude in the oblique cases (thin orange and blue lines) is very close to that for a flat wall (thick gray line) near the top of the domain for both waves following and opposing the oblique wind, which indicates that the waves do not enhance the equivalent surface roughness above the background roughness (more discussions follow in section 3f).
If we examine the along-wave and cross-wave wind speeds separately (Figs. 7a,d) for the oblique cases, it is clear that both components are significantly modified by the wave. As expected, the along-wave wind speed is reduced from the flat wall profile because of the wave form drag. The along-wave wind profiles for oblique wind are roughly proportional to those for aligned wind, and are reduced by about 25%–30% throughout the wave boundary layer. Interestingly, the cross-wave wind speed is increased near the top of the domain compared to the flat wall wind speed (Fig. 7d). The combined effect of increased cross-wave wind speed and decreased along-wave wind speed yields the almost unchanged wind speed magnitude toward the top.
The opposite wave impacts on the along-wave and cross-wave wind speeds mean that the angle of the wind speed (θ = 52°–54°) is significantly misaligned from the angle of the wind stress (θ = 45°) near the top of the domain (Fig. 7j), even though the wind magnitude is not modified by the wave. The wind speed angle is much larger closer to the surface, falling between θ = 65° and 68°. From about kζ = 0.1–0.4, the angle quickly reduces to about θ ≈ 55°, and reduces more slowly from there to the top at kζ = 2. It is notable that the wind speed angle is strongly dependent on height in the wave boundary layer, and that its misalignment from the total wind stress angle (θ = 45°) appears to persist above the top of the wave boundary layer.
The second row of Fig. 7 displays vertical profiles of the normalized mean wind shear. Figures 7b and 7e show the along-wave and cross-wave shear,
The shape of vertical profiles of wind shear magnitude (Figs. 7h) is quite similar between the aligned and oblique wind cases, with a reduction near the surface and enhancement at midlevel. However, the wind shear magnitude for the oblique wind is consistently larger throughout the wave boundary layer (compare thin orange line with thick orange line, or thin blue line with thick blue line). This larger wind shear magnitude is responsible for the larger wind speed near the top of the domain (Fig. 7g) and the resulting smaller equivalent roughness length.
The along-wave wind shear profiles (Fig. 7b) for the oblique wind cases are roughly proportional to those for the aligned wind cases (except near the top where they collapse); they are reduced by about 25%–30%. This suggests that the same physical processes (i.e., effects of pressure form drag near the surface and of intermittent airflow separations at midlevel) take place in oblique wind cases, but their impacts are reduced. Near the top of the wave boundary layer, the along-wave wind shear is not much reduced for the oblique cases, and this contributes to the enhanced wind shear magnitude near the top.
In the middle of the wave boundary layer, the cross-wave wind shear profiles (Fig. 7e) for the oblique wind cases are significantly enhanced compared to that for a flat wall case, and this contributes to the enhancement of the wind shear magnitude and far field wind speed as well as the reduced equivalent roughness length. The shear enhancement occurs at lower elevation with waves opposing (compared to following) oblique wind, which is consistent with the earlier observation that waves opposing wind tend to suppress the vertical extent of the wave induced flow perturbations.
The angle of the mean wind shear is plotted in Fig. 7k (solid lines), along with the angle of the horizontally averaged turbulent stress (dashed lines; more discussion on the turbulent stress and momentum budget in the next subsection). Both the wind shear angle and the turbulent stress angle hover around θ = 45° above kζ = 1; that is, the mean wind shear and the turbulent stress are well aligned with the total wind stress there. This suggests that the direction of the mean wind speed gradually approaches the wind stress direction (i.e., the misalignment between wind speed and wind stress gradually disappears) if the constant stress layer is extended upward without a top boundary (i.e., in the open ocean condition).
At midlevel, the wind shear angle oscillates around 45° for waves opposing wind, but it is significantly reduced from 45° at around kζ = 0.30 for waves following wind, associated with the enhancement of the along-wave wind shear (Fig. 7b). Toward the surface, the wind shear angle increases to about θ = 63°.
The profiles of the wind shear angle (solid lines) are generally well correlated with the profiles of the turbulent stress angle (dashed lines). This observation supports the common turbulence closure assumption that the angle of the turbulent wind stress is the same as the angle of the mean wind shear (i.e., the momentum flux is downgradient). However, toward the surface the angle of the turbulent stress is consistently smaller than the angle of the mean wind shear by about 8°–9°.
The bottom row of Fig. 7 displays vertical profiles of the horizontally averaged TKE and its three components. With the oblique wind, the magnitude of TKE remains largely unchanged (Fig. 7c). However, the profiles of along-wave TKE and cross-wave TKE significantly differ between the oblique and aligned cases. In aligned winds, the along-wave TKE component is much larger and is pronounced at midlevel, associated with flow separation (or separation-like) patterns (see also Figs. 4A,C). In oblique winds, the cross-wave TKE component is larger, and both components show modest enhancement at midlevel (see also Figs. 4B,D,F,H). The vertical TKE component remains significantly smaller throughout the wave boundary layer.
d. Horizontally averaged momentum budget in along-wave and cross-wave directions
The horizontally averaged momentum budget (or wind stress partition) for the along-wave and cross-wave directions as described in Eq. (2) is shown in Fig. 8. Similar to Fig. 7, the solid (dashed) gray lines represent the values for the flat wall case with linearly decreasing (constant) total wind stress in kζ. The total stress (
Normalized vertical profiles of horizontally averaged momentum budget terms following wind (orange lines) and opposing wind (blue lines) for oblique (thin lines) and aligned (thick lines) wind conditions. In the top row, the along-wave (x) momentum budget includes total wind stress in the x direction (
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
In Figs. 8a and 8c the vertical profiles of all stress components in the along-wave direction are similar between the aligned and oblique cases; the values in the oblique case are simply reduced roughly in proportion to the reduction of total stress. In both cases, the pressure stress magnitude increases toward the surface, and the wave-coherent stress is positively (upward momentum flux) enhanced at midlevel (kζ ≈ 0.3–0.5). The turbulent stress magnitude is reduced near the surface to compensate the pressure stress, and is enhanced at midlevel to compensate the wave-coherent stress.
In Figs. 8b and 8d, the pressure stress is zero in the cross-wave direction with no wave shape, but the turbulent and wave-coherent stresses are strongly modulated by the wave. In particular, for waves following oblique wind the negative wave-coherent stress
In summary, the cross-wave component of the wave-coherent stress is totally different from its along-wave component, and thus modifies the cross-wave turbulent stress in a distinct way. Therefore, the wave-coherent stress seems to play an important role in modifying the magnitude and direction of turbulent stress and mean wind shear, and modifying the mean wind profile in a complex manner.
To better understand the wave modulated turbulent and wave-coherent stresses, we examine the phase-averaged 2D fields of turbulent stress, wave-coherent stress, and wave-coherent velocities,
Top four rows show normalized phase-averaged fields of the along-wave turbulent stress (
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
A pair of similar but much weaker areas of positive wave-coherent stress (
The strong wave-coherent velocities
Normalized phase-averaged velocity vector fields in the ξ–y coordinate (top) for waves following oblique wind and (bottom) for waves opposing oblique wind at (a),(b) kζ = 0.02 and (c),(d) kζ = 0.40. Mean wind angle θw is plotted below each vector field.
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
e. Energy budget and turbulence closure parameterization
(a),(b) Normalized vertical profiles of horizontally averaged energy budget terms. The first (pressure gradient), second (shear production), third (transport) and fourth (dissipation) terms of Eq. (3) are dark green, red, light green, and blue, respectively, with dotted black lines near zero equaling the sum of all energy budget terms. Thick (thin) lines are for aligned (oblique) wind. (c),(d) Normalized vertical profiles of horizontally averaged turbulent stress magnitude
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
In all cases the transport term is relatively small and the shear production is mostly balanced by the viscous dissipation at all heights. For waves both following and opposing wind, the shear production for waves in oblique wind (thin lines) is significantly enhanced compared to that for waves in aligned wind (thick lines) throughout the wave boundary layer. The viscous dissipation for oblique wind (thin blue lines) is also enhanced and balances the enhanced shear production. As discussed earlier, the enhanced wind shear magnitude throughout the wave boundary layer in the oblique wind cases is responsible for the increased far field wind speed and reduced equivalent roughness length (to the point of almost wiping out the wave effect) compared to those in the aligned wind cases. The energy budget analysis here suggests that the enhanced wind shear and the reduced equivalent roughness length with oblique winds are correlated with the enhanced viscous dissipation throughout the wave boundary layer.
As discussed in Part I, previous modeling studies have closed the turbulence in the wave boundary layer by parameterizing the TKE dissipation rate (〈ε/J〉) using the turbulent stress (
Since the turbulent stress and the mean vertical wind shear are well aligned as discussed earlier, it is possible to calculate the eddy viscosity K (magnitude of turbulent stress divided by magnitude of mean wind shear), shown in Figs. 11e and 11f. No apparent correlation is observed between K and the turbulent stress magnitude.
f. Wave growth/decay rate and equivalent roughness length
Wave growth/decay coefficient cβ is plotted as a function of misalignment angle |θ| for waves following/opposing wind (top/bottom) for the current LES study (large red circles: cβtot, small red circles: cβp). Dot–dashed line shows cos2(θ) dependence of cβp. Dashed, dotted, and solid lines show cos2(θ), cos(θ), and [Uλ/2cos(θ) − c]2 dependence of cβtot, respectively.
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
List of run conditions and results of roughness enhancement zo/zob and nondimensional wave growth/decay coefficient cβ for four LES simulations. The letters f and o in the run name represent waves following and opposing wind, respectively; the subscripts 22.5, 45, and 67.5 represent oblique wind runs at their respective angles. The values for cβt, cβn, and cβp refer to tangential turbulent stress, normal turbulent stress, and pressure contributions to cβ, and cβtot is the total.
The reduction of the pressure component only (|cβp|, small red circles in Fig. 12) due to the misalignment is very close to the common parameterization of cos2(θ) (dot–dash lines) for both waves following and opposing wind (except for θ = 67.5° with waves following wind, where cβp is slightly below the parameterization). This also means that the pressure form drag is reduced by about 50% at θ = 45°. If all turbulent stress contributions are added, the reduction of the total wave growth/decay rate coefficient |cβtot| (large red circles) due to wind-wave misalignment does not follow the cos2(θ) parameterization (dashed line) as closely; it is slightly below the parameterization at θ = 22.5° but above the parameterization at θ = 45° and 67.5°. Nevertheless, the cos2(θ) parameterization appears superior to the cos(θ) parameterization (dotted line) or the (Uλ/2cosθ − c)2 dependence (solid line, Donelan et al. 2012; Reichl et al. 2014), since the latter two significantly overestimate |cβtot| in smaller θ range, where the wave effects are more significant. Notice that the (Uλ/2cosθ − c)2 dependence predicts a slight increase of cβtot from θ = 0° to 22.5°. This is because our simulations are performed with a fixed wind stress magnitude, and the along-wave wind speed at a height of half surface wavelength slightly increases as the wind stress direction increases, likely due to reduced wave impact.
As in Part I, we estimate the enhancement of the equivalent surface roughness zo relative to the background roughness zob by comparing the wind speed magnitude at the top of the domain (kζ = 2) with and without waves. The results of the roughness enhancement zo/zob are summarized in Table 1 and are plotted against |θ| in Fig. 13. As discussed earlier, the wave enhancement zo/zob almost disappears at |θ| = 45°. In fact, zo/zob monotonically decreases with |θ| and becomes significantly less than 1 at |θ| = 67.5°, that is, a wave train misaligned by 67.5° from wind can “reduce” the equivalent roughness length and the drag coefficient (compared to the flat surface case with the same background roughness length).
Ratio of the equivalent surface roughness to the background (parameterized) surface roughness zo/zob as a function of misalignment angle |θ| for waves following wind (black line) and waves opposing wind (red line).
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
In summary, the wave form drag and the wave growth rate are both reduced due to misalignment θ between waves and wind stress, and the common parameterization of the angle dependence, cos2(θ), appears to be approximately valid. While the wave form drag remains significant (reduced by only about 1/2 at θ = 45°), the wave impact on the equivalent roughness length almost disappears at θ = 45° and becomes negative (the equivalent roughness length and the drag coefficient are reduced) at larger misalignment angles. The latter finding is one of the most significant and surprising results of this study. This finding also suggests that existing models of sea-state-dependent drag coefficient may overestimate the impact of misaligned waves if the drag coefficient is simply assumed to increase with increasing wave form drag integrated over the entire wave spectrum.
4. Wind measurements from a moving platform
All previous mapped results in this study have been shown with σ = 1, with the wave-following mapping gradually decaying to near Cartesian at the top of the domain. In this section, we use σ = 0.0001 such that the wave-following mapping barely decays with height, enabling a measurement of the wind velocities similar to what would be observed in the field on a wave-following platform, identical to the approach taken in Hara and Sullivan (2015).
In Figs. 14 and 15, we display the simulated moving platform measurements for wind speed, wind shear, and wind stress (
Normalized wind speed, wind shear, and simulated wind stress measurement on a wave-following platform [
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
Normalized magnitudes and angles of wind speed, wind shear, and simulated wave-following wind stress measurement [
Citation: Journal of Physical Oceanography 52, 1; 10.1175/JPO-D-21-0044.1
Overall, the results with σ = 0.0001 (dashed lines) are quite similar to those with σ = 1 (solid lines), as discussed by Hara and Sullivan (2015). Therefore, the results and discussions of the mean wind and wind shear profiles, presented in the previous sections and in Part I, remain valid, i.e., the wind profile can significantly deviate from the log profile and the wind direction can significantly vary in the wave boundary layer (say below kζ = 1).
Let us now focus on the wind stress measurements. The simulated measurement (Fig. 14i) indicates that for waves with low wave ages (slow waves, toward warmer colors) following wind, the wind stress magnitude is significantly underestimated below about kζ = 0.5 and almost approaches zero below kζ = 0.1, as pointed out by Hara and Sullivan (2015). As the wave age increases (toward blue) the stress magnitude is underestimated even at higher elevations, roughly up to kζ = 1. In the lower part of the wave boundary layer below kζ = 0.2–0.3, the stress magnitude gradually increases and becomes significantly overestimated near the surface at
Although its occurrence is rare in the field, opposing steep swell can very strongly contaminate the wind stress measurements as shown in Fig. 14j. The stress magnitude is only slightly underestimated above kζ = 0.4 but it rapidly approaches zero near kζ = 0.2 and its direction becomes opposite (upward momentum flux) below, due to very strong wave-coherent stress (Fig. 14h).
In Figs. 15c and 15f, the magnitude and angle of the simulated wind stress measurements for the results of Part II are shown (θ = 45° only). With waves following the oblique wind (thin orange dashed lines) the stress magnitude is underestimated and the stress angle significantly deviates from the correct angle (−135°) below kζ = 0.5. With waves opposing the oblique wind (thin blue dashed lines) the stress magnitude is also underestimated and the stress angle rotates by almost 290° from kζ = 0.5 to the surface. Note that motions of floating platforms are usually induced by long gravity waves with relatively large wave ages. Therefore, our results of oblique waves with wave age 1.4 is not readily applicable for such conditions.
In summary, the mean wind profile can significantly deviate from the log profile and the wind stress measurements can be strongly contaminated by the platform motion if the measurements are made below kζ = 1 of the dominant waves. For example, if the dominant wavelength is λ = 50 m, we would expect measurements to be contaminated below a height of about ζ = 8 m above the sea surface.
5. Summary
In this study, we use large-eddy simulation to investigate turbulent airflow over steep strongly forced waves (
These airflow features appear to modify the pressure fields and the resulting surface form drag due to oblique wind (Figs. 2k–n,A–D), resulting in wave growth/decay rate (cβp, due to pressure stress alone) and the pressure form drag reduced from the aligned wind case, closely following the common cos2(θ) dependence. Even with the inclusion of the turbulent stress components the reduction of cβtot seems to be reasonably close to the cos2(θ) dependence (except for very large θ values).
With waves following/opposing oblique wind (θ = 45°), the mean wind speed (Figs. 7a,d,g,j) and the mean wind shear (Figs. 7b,e,h,k) are strongly modified. The directions of mean wind speed and mean wind shear significantly deviate from the direction of the wind stress θ = 45° (Figs. 7j,k). Most notably, we see a significant turning of the wind angles toward the surface (θ = 65°–68° for wind speed, θ = 63° for wind shear). Toward the top of the wave boundary layer the wind shear angle becomes close to θ = 45°, but the wind angle remains significantly misaligned (θ = 52°–54°). Although the direction of the mean wind shear varies with height in a complex manner, it is well correlated with the direction of the turbulent stress throughout the wave boundary layer; that is, the turbulent momentum flux remains mostly downgradient (Fig. 7k).
The momentum budget (partition of the total wind stress into turbulent, wave-coherent, and pressure stress components) in the along-wave direction (Figs. 8a,c) is quite similar in oblique and aligned wind cases, with enhanced positive wave-coherent stress (upward momentum flux) at midlevel due to airflow separations, pressure stress increasing toward the surface (downward momentum flux), and turbulent stress balancing the two. An analysis of the momentum budget in the cross-wave direction (Figs. 8b,d) highlights strong midlevel downward wave-coherent stress balanced by the reduced cross-wave turbulent stress. This feature appears related to the separating and reattaching flows (Figs. 9n,p,u,v), and is responsible for significant turning of the mean wind shear direction (Fig. 7k).
The most notable finding in this study is that waves oblique to wind appear to have little impact (at θ = 45°) or negative impact (at θ = 67.5°) on the equivalent roughness length and drag coefficient, even if such waves support significant wave form drag. We find that in oblique wind cases the wind shear magnitude is enhanced throughout the wave boundary layer (Fig. 7h), the far field wind speed is significantly increased (Fig. 7g), and the equivalent roughness length is reduced.
The energy budget analysis shows that the enhanced shear production (i.e., enhanced mean wind shear) is balanced by enhanced viscous dissipation throughout the wave boundary layer (Fig. 11) in the oblique wind cases. However, the turbulent stress in the wave boundary layer is not enhanced in a similar manner, which suggests that the existing turbulence closure schemes, relating the dissipation rate (or the mean wind shear) with the turbulent stress, may underestimate the mean wind shear and the far field wind speed and overestimate the equivalent roughness length and drag coefficient in the presence of misaligned waves.
In this study, we do not propose a new parameterization of the drag coefficient as a function of wind-wave misalignment. This is mainly because the total wind stress is expected to be dependent on integration of the wave form drag due to waves of all scales and directions, and a simple parameterization of the drag coefficient over complex seas, such as those with misaligned dominant waves, is not feasible. Instead, the aim of this study is to advance our understanding of how waves misaligned with wind interact with wind, and how the wave growth/decay rate, the mean wind profile, and the effective roughness are modified by such waves. The results from this study are expected to be beneficial for improving the sea-state-dependent drag coefficient parameterizations based on integration of wave form drag over complex seas.
This study focuses on wind over steep strongly forced misaligned waves, mainly because such waves support a bulk of the air–sea momentum flux, and therefore understanding the impact of such waves is critically important for improving the sea-state-dependent drag coefficient parameterizations. However, our choice of wave parameters is not likely applicable for conditions of dominant swell misaligned with wind, even under high wind tropical cyclone conditions. It is highly desirable to extend this study to include larger wave ages and reduced wave steepness in the future.
In this study, we have investigated the effect of oblique waves by maintaining the wind stress magnitude and altering its direction relative to the wave direction, because we think this is the most sensible approach to take as a first step. However, it is certainly of interest to expand the scope of study by comparing the aligned wave case with a different oblique wave case. One possibility would be to maintain the wind speed magnitude (at a certain elevation) and alter its direction. Another possibility would be to maintain the along-wave component of wind stress; that is, to compare the oblique (45°) case of wave age 1.4 and the aligned case of wave age
Finally, our LES results from both Part I and Part II suggest that wind speed and wind stress measurements performed on a wave-following platform can be strongly contaminated by the platform motion if the instrument is inside the wave boundary layer of dominant waves.
Acknowledgments.
We acknowledge support of the National Science Foundation (Physical Oceanography) Grant OCE-1458984 (URI). We also acknowledge high-performance computing support from Yellowstone (ark:/85065/d7wd3xhc) and Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation.
Data availability statement.
All large-eddy simulation data created and used during this study are openly available at http://dx.doi.org/10.17632/8vj68sr4rx.1.
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