Cold wake of Hurricane Frances

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Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L15609, doi:10.1029/2007gl030160, 2007 Cold wake of Hurricane Frances Eric A. D Asaro, 1 Thomas B. Sanford, 1 P. Peter Niiler, 2 and Eric J. Terrill 2 Received 26 March 2007; revised 20 June 2007; accepted 10 July 2007; published 11 August 2007. [1] An array of instruments air-deployed ahead of Hurricane Frances measured the three-dimensional, time dependent response of the ocean to this strong (60 ms 1 ) storm. Sea surface temperature cooled by up to 2.2 C with the greatest cooling occurring in a 50-km-wide band centered 60 85 km to the right of the track. The cooling was almost entirely due to vertical mixing, not air-sea heat fluxes. Currents of up to 1.6 ms 1 and thermocline displacements of up to 50 m dispersed as near-inertial internal waves. The heat in excess of 26 C, decreased behind the storm due primarily to horizontal advection of heat away from the storm track, with a small contribution from mixing across the 26 C isotherm. SST cooling under the storm core (0.4 C) produced a 16% decrease in air-sea heat flux implying an approximately 5 ms 1 reduction in peak winds. Citation: D Asaro, E. A., T. B. Sanford, P. P. Niiler, and E. J. Terrill (2007), Cold wake of Hurricane Frances, Geophys. Res. Lett., 34, L15609, doi:10.1029/2007gl030160. 1. Introduction [2] Hurricanes draw their energy from the warm ocean and are therefore sensitive to its temperature [Emmanuel, 2003], with no storms developing for temperatures cooler than 26 C. Hurricane wind stress is mixed downward by ocean turbulence [Price et al., 1996], mixing the underlying cold water into the mixed layer and cooling it [Price, 1981]. The negative feedback caused by cold water under the storm core can, in models, reduce the storm intensity by up to 70% [Schade and Emmanuel, 1999]. There have been very few detailed observations of the structure of sea surface temperature (SST) beneath a hurricane. Satellite SST measurements commonly show a wake, 2 5 C cooler than the pre-storm waters behind the right-hand side of hurricanes. However, cooling underneath the central core of the storm is much less, 0 2 C [Cione and Uhlhorn, 2003]. [3] SST change beneath hurricanes is sensitive to the prestorm depth distribution of temperature; a thin layer of warm water cools more easily than a thick layer. The hurricane heat content, Q 26 = R 0 Z 26 Tdz, i.e., the heat contained between the 26 C isotherm depth Z 26 and the surface, can be used as a supplement to SST to predict the intensity change of hurricanes [DeMaria et al., 2005]. Here, data from surface drifters and subsurface floats are combined to map the three-dimensional space-time evolution of ocean temperature in the vicinity of Hurricane Frances. The upper ocean response to this storm is shown both in the 1 Applied Physics Laboratory and School of Oceanography, University of Washington, Seattle, Washington, USA. 2 Scripps Institution of Oceanography, La Jolla, California, USA. manuscript figures and in an animation included in the auxiliary material 1. 2. Data [4] Measurements of upper ocean temperature were made from oceanographic sensors air-deployed ahead of Hurricane Frances. Platforms included 27 surface drifters measuring SST, nine modified profiling SOLO floats [Davis et al., 1992] measuring from 200 m to the surface, three modified profiling EM-APEX floats measuring from 0 500 m before the storm and 30 500 m during it [Sanford et al., 2007], and two Lagrangian floats [D Asaro and McNeil, 2007] measuring from the surface to about 50 m depth. Measurements focussed on the right-hand side of the storm, avoiding the shallow banks starting about 60 km to the left of its track. Black et al. [2007] describes these data in more detail. [5] Temperature accuracy for the floats is better than 0.01 C. SST values were obtained from floats using the shallowest temperature measurement as long as this was within the mixed layer. Float SST data were smoothed to form a pre-storm SST field and offsets ranging from 0.72 C to 1.37 C (mean 0.15 C) were removed from the drifters to make them consistent with this field. Horizontal velocity was measured on the EM-APEX floats only. Drifter positions were obtained from system ARGOS. SOLO float positions were determined by GPS on the frequent float surfacings. Lagrangian and EM-APEX float positions were determined by interpolating between less frequent GPS positions using horizontal current profile measurements on the EM-APEX floats. All data with a resolution of less than 1 h were interpolated to hourly intervals. [6] Track and wind data for Hurricane Frances were obtained from daily analyzed H*WIND fields based on all available measurements [see D Asaro and McNeil, 2007]. Wind data from the day 246.75 analysis were used. Atmospheric boundary layer temperature, relative humidity, and wind speed were obtained from GPS dropsondes deployed from NOAA aircraft on day 246. Few probes reached 10-m altitude. Values at 10 m were estimated using the bottommost data point, as long as this was no higher than 30 m. 3. Ocean Response [7] Figure 1 shows plan views of SST, the change in Z 24, the change in Q 26, and selected near-surface velocity vectors all in a storm-centered coordinate system, with the storm moving in the X direction. Only data from days 244 248 and longitudes 68 W 70.9 W are used, thereby excluding drifters and SOLO floats from the western portion of the array. The coordinate system curves by up to 65 km after Copyright 2007 by the American Geophysical Union. 0094-8276/07/2007GL030160$05.00 1 Auxiliary materials are available in the HTML. doi:10.1029/2007gl030160. L15609 1of6

Figure 1. Plan view of ocean response to Hurricane Frances in a storm-centered coordinate system. The storm moves to the left along the horizontal axis. Wind speed contours (black, white labels) are from the H*WINDS analysis at day 245.75. (a) Sea surface temperature from drifters and floats. Dots are data points; colors and contours show the mapped field. Arrows show mixed layer velocity from the EM-APEX floats. (b) Change in the depth of the 24 C isotherm from its value before day 245.6 and velocity on this isotherm. Data from floats only. (c) Change in heat warmer than 26 C, i.e., the Hurricane Heat Content. Data from floats only. day 246.7 to compensate for curvature in the storm track. The data (dots in Figure 1) are dense enough to accurately resolve the field, so that a simple mapping scheme (separation dependent Gaussian weighting with a scale of 20 km) is sufficient. Figure 1a uses floats and drifters; Figures 1b and 1c use only floats. The southernmost EM-APEX cannot be used to compute DQ 26 from 246.02 to 246.68 because it has no mixed layer data during this time. Heat content is computed using potential temperature, not in-situ temperature, as it is the heat realizable at the surface, not the true thermodynamic heat, that affects hurricanes. [8] The sea surface temperature (Figure 1a) cools behind the storm at all locations. It is largest (2.2 C) in the cold wake, which is clearly offset from both the center of the storm and from the strongest winds. Less cooling occurs on the left-hand side of the storm (0.8 C) and under the central core (0.4 C). The upper layer velocity is also largest in the cold wake, consistent with the cold wake being formed by shear-driven mixing. The upper layer currents and shear will be most efficiently generated on the right-hand side of the storm where the wind stress rotates in a clockwise direction with time [Price, 1981]. [9] The changes in thermocline depth are measured using the depth of the 24 C isotherm, since significant mixing occurs at the 26 C isotherm. The patterns in DZ 24 (Figure 1b) are different than those of SST. Currents are weak at this isotherm. Upwelling of up to 50 m occurs behind the storm with weak downwelling, typically 10 m, for y > 100 km. Temporal variations in currents and isotherm depth occur at nearly the inertial period. The patterns of phase propagation, upward and away from the storm track, and of phase relationships between currents and isotherm depth, indicate the propagation of near-inertial waves downward and away from the storm. This can be seen, for example, by comparison with the simulations of Price [1981]. [10] The heat content Q 26 (Figure 1c) reflects the patterns of both SST and isotherm depth. The low heat content behind the eye is due to upwelling, which reduces the thickness of the upper layer and thus the heat content. Heat changes due to upwelling are reversed by downwelling, thus Q 26 has similar values along y = 0 km at x = 100 and x = 500 km. In the cold wake Q 26 is reduced, but not Q 24, suggesting that vertical mixing reaches the 26 C isotherm but not the 24 C isotherm. [11] Figure 2a shows the depth time, or equivalently Z Y, evolution of the cold wake as viewed by the EM-APEX float, which traverses along the center of the cold wake [see also D Asaro and McNeil, 2007; Sanford et al., 2007]. The 6-hour period of most rapid cooling (day 245.2 246.2) is associated with rapid downward growth of the mixed layer, due primarily to strong shear and reduced Richardson number [Sanford et al., 2007]. Successively colder isotherms enter the 20-m thick, stratified transition layer from below, descend with it, exit into the mixed layer and surface. The mixed layer reaches a maximum depth of about 100 m; the associated mixing, diagnosed from 2of6

Figure 2. (a) Depth-time contours of potential temperature (colored); arrows of velocity change from prestorm. Northward currents point up; eastward currents point to the right. (b) Change in ocean heat above the 23 C, 24 C, and 26 C isotherms. changes in the distance between isotherms, reaches about 130 m and the 25 C isotherm. The vertical heat flux responsible for deepening the mixed layer is about 25 kw m 2 at the bottom of the mixed layer. [12] Mixing penetrates below the 26 C isotherm, thereby decreasing Q 26 by fluxing cold water upward across the isotherm. This moves the 26 C isotherm downward about 25 m relative to the 24 C, thereby cooling about 25 m of water by about 1 1.5 C. The overall effect is small, reducing Q 26 by 25 37 m- C, about 16% of its initial value of about 180 m- C, but sufficient to significantly influence the spatial pattern of Q 26. [13] Figure 2b shows ocean heat content relative to several isotherms at this float. Heat contents Q 23 and Q 24 are nearly constant through day 245.9 implying small air-sea heat fluxes even though the storm s eye has already passed and most of the SST cooling has already occurred. Bulk estimates of airsea heat flux (see section 4) do not exceed 500 W m 2. Covariance estimates from the Lagrangian floats [D Asaro, 2004] at the peak winds are 1000 ± 800 W m 2. These estimates are only a few percent of the fluxes due to mixing; air-sea fluxes are therefore negligible. The large changes in the heat content seen after day 245.9 for any reference isotherm colder than 25 C must therefore result from horizontal heat transport. [14] Figures 3a, 3b, 3c, and 3d show selected y z sections of potential temperature across the storm s path. Additional frames are shown in an animation included as auxiliary material. Figure 3a shows the pre-storm conditions. The isotherms are nearly flat with a slight descent in the +y direction associated perhaps with the westwardgoing Antilles Current. The circular symbols show selected positions of the two Lagrangian floats. These cycle vertically across the 30-m-thick mixed layer following the vertical trajectories of mixed layer water parcels forced by the rapidly rising 22 ms 1 winds. The heat content Q 24 (black line in Figure 3e) is nearly constant. [15] Figure 3b shows a section at the end of the period of most intense vertical mixing. The cold wake has now formed, seen here as a hole in the isotherms extending from 40 km to 120 km. Despite this, the heat content Q 24, (red line in Figure 3e) remains nearly constant and unchanged from the first panel. The heat removed from the mixed layer has been deposited in the thermocline resulting in the downward bowing of the 27 C isotherm to 26.5 C. Up to this point, the dynamics are simple: mixing redistributes heat vertically. [16] Figure 3c shows a section at the time of maximum upwelling. The winds have decayed to below 30 ms 1 driving continued turbulence in the mixed layer, seen from the motion of the Lagrangian floats, but little new mixing below, since the isothermal spacing remains unchanged. More significantly, the upper layer has been advected in the +y direction, away from the eye, as seen from the 20 km +y displacement of the Lagrangian floats. Behind the eye, the loss of warm, upper layer water produces about 50 m of upwelling near the storm track, dramatically decreasing the heat content (blue line in Figure 3e). Upwelling, however, does not fully account for the changes in heat content. The cold wake has been sheared, with the cooled upper layer no longer lying over the warmed deeper layer. Thus measurements at the central EM-APEX float (Figure 2), near the center of the cold wake, show a large reduction in heat content even though there is little net upwelling. Both vertical and horizontal advection are important and purely vertical analyses cannot explain the observed heat changes. [17] Figure 3d shows a section at a time of minimum upwelling, approximately half an inertial period after the previous panel. The ocean has returned to a state very similar to that inertial period earlier. The cold wake has moved back southward and is aligned vertically and the heat content (green line in Figure 3e) is close to that of the initial state. [18] The heat averaged from y =0kmtoy = 160 km and from the surface to the 24 C isotherm hq 24 i is plotted against the depth of the 24 C isotherm at y = 0 in Figure 4 for each x from x = 200 km to x = 700 km. Initially, the isotherm is deep (130 140 m) and the heat content is high. The initial mixing (x < 100 km) results in little change in 3of6

Figure 3. (a, b, c, d) Depth-crosstrack maps of potential temperature at four selected along-track positions, i.e., times relative to the storm. Data within 20 km of each position is used in each map. Dots are data positions. Small circles show positions of Lagrangian floats. A full set of maps are included in the auxiliary material. (e) Heat content above the 24 C isotherm for each of the panels. hq 24 i. Upwelling reduces the heat to a minimum near x = 300 km. However, as the upwelling relaxes, the heat returns along nearly the same line to a minimum near x = 500 km. These large reversible variations again show that the heat content changes are due to advection of heat across the northern and southern boundaries of the domain. [19] There is clearly a net upwelling, averaged over these oscillations, of about 15 m as required by the storm s net wind stress curl. Figure 4 shows that a net upwelling implies a net decrease in ocean heat content beneath the storm due to the associated net outward advection of surface warm water. This explains the average heat content change seen in Figure 1c. The upwelling geostrophically produces a westward surface flow north of the storm track. 4. Ocean s Effect on Storm Intensity [20] Emmanuel [2003] reviews simple models of hurricane intensity and finds the maximum wind speed V max related to the surface flux of enthalpy F k V 2 max T s T 0 rc D T 0 F k ð1þ 4of6

changes will not have a significant effect on the storm intensity. [24] Larger reductions in heat flux and storm intensity would be possible if the cold wake were closer to the storm core, as might occur for a more slowly moving storm. If, for example, the SST field is moved 100 km in the x direction and 50 km in the y direction, so as to place the nose of the cold wake near the storm center, the heat flux is about 62% of the constant SST value averaged over any radius outside of the eye. Figure 4. Heat content warmer than 24 C plotted against pressure of the 24 C isotherm at y = 0 km for maps every 5 km along the track. Color is distance along track. This plot is animated in the auxiliary material. given the surface temperature T s, the inflow temperature T 0, the surface drag coefficient C D and the density of air r. This expression will be used to estimate the reduction in storm intensity caused by cooling in the wake of the storm. [21] The GPS dropsonde data show a clear correlation between 10-m temperature T 10 (C) and wind speed U 10 (ms 1 ) T 10 ¼ 29 U 10 =14; with a typical deviation from this relationship of 1 C. Far from the storm, the air temperature is close to the typical SST of 29.3 C. At maximum winds it is 4.6 C colder. A similar relationship is evident for relative humidity RH (%) ð2þ RH 10 ¼ 70 þ U 10 0:75 U 10 < 40 ð3þ RH 10 ¼ 100 U 10 > 40 ð4þ with a typical deviation of 5% at lower wind speeds. All 13 dropsondes deployed closer than 40 km to the storm center showed 100% humidity, except for one that was clearly in the eye. Heat fluxes were computed using temperature and humidity fields estimated from these relationships, the wind field shown in Figure 1 and standard bulk formulae. The enthalpy flux is approximated as a constant specific heat at constant pressure times the heat flux. An exchange coefficient of 0.8 10 3, appropriate for hurricane winds, was used for both latent and sensible heat [Black et al., 2007]. Any effects of spray at high winds are therefore ignored. [22] The effect of SST cooling on fluxes in the storm core is modest. Prestorm SST has a range of 29.3 ± 0.05 C. The heat flux averaged over a radius of 50 km (75 km) from the storm center is 84 ± 2% (82 ± 1%) of that estimated using a constant SST set to prestorm values. Equation (1) therefore predicts that the winds in Hurricane Frances are 92 ± 2% of those expected in the absence of cooling. Estimating an average peak winds of 60 ms 1 (Figure 1), the average peak wind without cooling would be 5 ± 1 ms 1 higher. [23] Larger reductions in heat flux are found in the outer parts of the storm where the small but persistent SST cooling reduces the heat flux to 77 ± 2% (61 ± 1%) of the constant SST value when averaged over a 100-km (300-km) radius. Schade and Emmanuel [1999] indicate that these 5. Summary and Discussion [25] The three-dimensional response of the ocean to Hurricane Frances was measured using an air-deployed array of floats and surface drifters. Major features include: [26] (1) Sea surface temperature is reduced by up to 2.2 C. The largest reduction occurs in a 50-km wide cold wake centered 60 85 km to the right of the storm track. This reduction is almost entirely due to the upward mixing of water warmer than 24 C rather than due to air-sea fluxes. [27] (2) Currents of up to 1.6 ms 1 are generated in the mixed layer with the strongest currents in the cold wake. These oscillate and disperse downward and horizontally as near-inertial frequency internal waves. The shear associated with these currents is the major cause of mixing and thus SST cooling [Sanford et al., 2007]. [28] (3) The thermocline shoals by up to 50 m behind the storm and oscillates inertially thereafter. The net upwelling is about 15 m. [29] (4) Heat content above the 26 C isotherm, i.e., the hurricane heat content, decreases behind the storm due primarily to the mean upwelling with a small part, about 16%, due to mixing of cold water upward across the 26 C isotherm. [30] (5) Heat content behind the storm varies both spatially and temporally as the oscillating vertical and horizontal currents advect heat in three dimensions. The change in heat content from the pre-storm value averaged along crosstrack sections in the storm s wake varies by a factor of 6 depending on position. Accurate estimates of the change in heat content can therefore not be made from a few isolated measurements in the wake. [31] (6) Sea surface temperature under the storm core cools by 0.4 C, reducing the air-sea heat flux by about 16%. This negative feedback from ocean mixing to the storm intensity is estimated to decrease the peak winds by about 5ms 1 to the observed value of 60 ms 1. [32] Acknowledgments. This work was supported by the Office of Naval Research through the CBLAST program (contracts N00014-00-241-0894, N00014-00-1-0893, and N00014-02-1-0401), the help of the National Hurricane Center and the Hurricane Research Division of NOAA and the people and aircraft of the 53rd Air Force Reserve squadron, Hurricane Hunters. References Black, P. G., E. A. D Asaro, W. M. Drennan, J. R. French, P. P. Niiler, T. B. Sanford, E. J. Terrill, E. J. Walsh, and J. Zhang (2007), Air-sea exchange in hurricanes: Synthesis of observations from the coupled boundary layer air-sea transfer experiment, Bull. Am. Meteorol. Soc., 88(3), 357 374. Cione, J. J., and E. W. Uhlhorn (2003), Sea surface temperature variability in hurricanes: Implications with respect to intensity change, Mon. Weather Rev., 131(5), 1783 1796. 5of6

D Asaro, E. A. (2004), Air-sea heat flux measurements from nearly neutrally buoyant floats, J. Atmos. Ocean. Technol., 21, 1086 1094. D Asaro, E. A., and C. L. McNeil (2007), Air-sea gas exchange at extreme wind speeds measured by autonomous oceanographic floats, J. Mar. Res., 66, 92 109. Davis, R., D. Webb, L. Regier, and J. Dufour (1992), The autonomous Lagrangrian circulation explorer (Alace), J. Atmos. Ocean. Technol., 9, 264 285. DeMaria, M., M. Mainelli, L. K. Shay, J. A. Knaff, and J. Kaplan (2005), Further improvements to the statistical hurricane prediction scheme (SHIPS), Weather Forecasting, 20(8), 531 543. Emmanuel, K. (2003), Tropical cyclones, Annu. Rev. Earth Planet. Sci., 31, 75 104. Price, J. (1981), Upper ocean response to a hurricane, J. Phys. Oceanogr., 11, 153 175. Price, J., T. Sanford, and G. Forristall (1996), Forced stage response to a moving hurricane, J. Phys. Oceanogr., 24, 233 260. Sanford, T. B., J. F. Price, J. B. Girton, and D. C. Webb (2007), Highly resolved observations and simulations of the ocean response to a hurricane, Geophys. Res. Lett., 34, L13604, doi:10.1029/2007gl029679. Schade, L. R., and K. Emmanuel (1999), The ocean s effect on the intensity of tropical cyclones: Results from a simple coupled atmosphere-ocean model, J. Atmos. Sci., 56, 642 651. E. A. D Asaro and T. B. Sanford, Applied Physics Laboratory and School of Oceanography, University of Washington, 1013 NE 40th Street, Seattle, WA 98105, USA. (dasaro@apl.washington.edu) P. P. Niiler and E. J. Terrill, Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093-0230, USA. 6of6