Estimating Air-Sea Energy and Momentum Exchanges inside Tropical Cyclones Using the Fetch- and Duration-Limited Wave Growth Properties
|
|
- Jason Collins
- 5 years ago
- Views:
Transcription
1 Estimating Air-Sea Energy and Momentum Exchanges inside Tropical Cyclones Using the Fetch- and Duration-Limited Wave Growth Properties Paul A. Hwang 1 and Yalin Fan 1 Remote Sensing Division Oceanography Division U. S. Naval Research Laboratory
2 Fetch- or duration-limited wave growth Hs g 7 xg f U U U xg f U Dimensionless Fetch Graph Wave speed c/u Wave height gh/u g rms #, 4 # U 3.4 H s g 3.94 U 4 16U Fetch limited U g p H sg 8 tdg U U U td g.94 U Hwang and Wang 004 JPO Duration limited Sverdrup & Munk 1947 Fetch gx/u Wave age similarity Dimensionless Duration Graph Duration to fetch Wave speed c/u Hurricanes, buoy obs. (Young 1998, 006) Wave height gh/u Duration gt/u Hurricanes (interior obs.) Hwang and Walsh (016)
3 3 Fetch- or duration-limited growth Hs g 7 xg f U U U xg f U H s g 3.94 U 4 16U Hwang and Wang 004 JPO H sg 8 tdg U U U td g.94 U Wind-wave triplets (U, H s, T p ) H 8. U x s x T 9.8 U x p x H 1.55 U t t T 3.53 U t p s t Hwang 016 JPO U H x U 91.49T x s x p x U 39.95H t U 17.71T t s t p t
4 d de E gq d f U, H, T E Q s dt Q Q Q in nl dis t w in E s p dt t EaU ; E 0.0# # H s g Hwang and Sletten 008 JGR E 5.88 / * in # C U C U C U d a / a / a C / 1.89 # in C 1. u / g Hwang 004, 005 JO p Energy exchange U U # # E ()= M ()c(); M t =f M (U,H s,t p ) M M U ; t M a M # # # Hwang and Walsh 016 JPO (in press) U p / Momentum exchange g
5 Fetch- or duration-limited growth Hs g 7 xg f U U U xg f U H s g 3.94 U 4 16U Hwang and Wang 004 JPO H sg 8 tdg U U U td g.94 U Wind-wave triplets (U, H s, T p ) H 8. U x s U H x U 91.49T x x T 9.8 U x p x s x p x H 1.55 U t U 39.95H t U 17.71T t t T 3.53 U t p s t s t p t Hurricane fetch and duration s x 4.4 U H x p x.9 U T x Hwang 016 JPO s t 1.75 U H t p t 4.81 U T t 5
6 x r, s r I x x x x r, s r I x x x t r, s r I t t t t r, s r I t t t sand I are functions of... Hwang 016 JPO Hwang and Walsh 016 JPO (in press) 6
7 yh (km) U Hs x x r, s x r I x Tp x x r, s x r I x t t r, s t r I t t t r, s t r I t s and I are functions of and rm xh (km) Harmonics of s and I q an, q cos n bn,q sin n N n 0 q can be s x, I x, s x, I x, s t, I t, s t or I t Y p1y rm py Y represents an,q and bn,q
8 8 H s _fetch E t _fetch H s _duration E t _duration T p _fetch M t _fetch T p _duration M t _duratio n
9 Input: HRD U Output1: H sw, T pw, #, #, Output: E, E t, M, M t Output0/Input1: modeled fetch/duration 9
10 Ivan 004 Fan et al. 009 JPO Hwang and Walsh 016 JPO (in press) M C U E tuh H a 5 H ; C -0.16U 9.67U U ; tuh E a E Liu et al. 008 JPO M C U C tul L a 0.069U L E 3.5 u ; u C U tul a * * L ; Product of wind wave growth function applied to HRD wind time series
11 11 Bell et al. 01 JAS (calculated by conservation of azimuthally averaged absolute angular momentum) M U ; t M a M # # C C C a d U U a U / a /
12 Hurricane Wind Waves and Air-Sea Interaction Waves inside hurricanes are fetch- and duration-limited Full set of (U, H s, T p ) can be derived knowing only one, given fetch or duration Wind sea: energy and momentum exchange = f(u, H s, T p ), simple parameterization functions E U ; 0. ; M U ; t E a E # # t M a M # # Temporal and spatial evolution of hurricane wind wave development from time series of hurricane wind field
13 13
14 14
15 3. ESTIMATING AIR-SEA ENERGY AND MOMENTUM EXCHANGES INSIDE TROPICAL CYCLONES USING THE FETCH- AND DURATION-LIMITED WAVE GROWTH PROPERTIES Paul A. Hwang 1 and Yalin Fan 1 Remote Sensing Division, Naval Research Laboratory, Washington, DC, USA Oceanography Division, Naval Research Laboratory, Stennis Space Center, MS 1. INTRODUCTION For wind-generated waves, the wind-wave triplets (reference wind speed U, significant wave height Hs, and frequency spectral peak wave period Tp) are intimately connected through the fetch- or duration-limited wave growth functions (e.g., Hasselmann et al. 1973; Donelan et al. 1985; Kahma and Calkoen 1994; Young 1999; Hwang and Wang 004). The full set of the wind-wave triplets can be obtained knowing only one of the three variables combined with the fetch xf (duration td) information using the fetch-limited (duration-limited) wave growth functions, which constitute a pair of dimensionless equations describing the growth of wave height and wave period as a function of fetch or duration. The frequency-integrated air-sea energy and momentum exchange rates Et and Mt are functions of the wind-wave triplets and can be quantified with the wind-wave growth functions (Hwang and Sletten 008; Hwang 009; Hwang and Walsh 016). Previous studies have shown that wave development inside hurricanes follows essentially the same growth functions established for steady wind forcing conditions (Young 1988, 1998, 006; Hwang 016; Hwang and Walsh 016). Here we present the analysis of wind-wave triplets collected inside Hurricanes Bonnie 1998 and Ivan 004 at category to 4 stages using the airborne scanning radar altimeter (SRA) combined with the NOAA HRD hurricane wind velocity product (Powell et al. 1996; Wright et al. 001; Moon et al. 003; Fan et al. 009). The data yield the windwave triplets inside the hurricanes along several (between 6 and 11) transects radiating from the hurricane center. Using the wind-wave triplets from the 4 hurricane scenes (Table 1), a parameterization model is formulated for the effective fetch and duration at any location inside a hurricane. The fetch and duration model is applied to the time series of D hurricane wind fields from post analysis to investigate the detailed temporal evolution of the wave field and the associated energy and momentum exchanges over the hurricane coverage area. The spatial distributions of energy and momentum exchanges show considerable asymmetry. Referenced to the hurricane heading, the exchanges on the right half plane of the hurricane are much stronger than those on the left half plane, the right-to-left ratio of about :1 to 3:1 is common.. HARMONIC ANALYSIS OF HURRICANE FETCH AND DURATION The fetch- and duration-limited wave growth functions connect the wind-wave triplets (U, Hs, Tp). Many different formulas of growth functions have been reported in the literature, in this study we use the results obtained from least squares fitting of five field experiments conducted under quasi-steady and near-neutral stability conditions, collectively called BHDDB (Burling 1959; Hasselmann et al. 1973; Donelan et al. 1985; Dobson et al. 1989; Babanin and Soloviev 1998), as described in Hwang and Wang (004): x 7 fg x fg s U 6.19, U U U H g s 8 d d 1.7,.94 4 U U U, (1) H g t g U t g, () 16 where g is the gravitational acceleration (9.8 m/s ). 4 4 H g /16 U g / U represents the wave energy s E g w rms # rms, and U / U / cp # is dimensionless frequency or inverse wave age; w is water density. The wind and wave measurements from the hurricane hunter missions provide the necessary data to calculate the effective fetches and durations for the locations where the wind and wave data are acquired (Hwang 016; Hwang and Walsh 016). Explicitly, the fetch and duration are derived by rearranging the variables in (1) and () x 4.4 U H, x.9 U T, (3) x s x p t 1.75 U H, t 4.81 U T. (4) t s t p The analyses of Hwang (016) and Hwang and Walsh (016) show that xf and td can be represented by linear functions of the radial distance r from the hurricane center: x s r I, x s r I, (5), x x x x x x t s r I t s r I, (6) t t t t t t where is the azimuth angle referenced to the hurricane heading, positive counterclockwise (CCW). The intercepts I and slopes s of the linear functions in (5) and (6) from processing the four hurricane scenes are shown in Fig. 1; these fitting parameters can be expressed in Fourier series: N n, q cos n, q sin, (7) n0 q a n b n where q can be s x, Ix, s x, Ix, s t, It, s t or I t. The curves computed with N=1, and 3 are shown with continuous lines in Fig. 1; the data are well represented by (7) with N=3. The harmonics anq and bnq display a systematic quasilinear variation with the radius of maximal wind speed rm (Fig. ) Y p r p, (8) 1Y m Y where Y represents an,q and bn,q in (7). The fitting coefficients p1y and py are listed in Table (the headers s_ex, I_ex, s_ox, I_ox, s_et, I_et, s_ot and I_ot represent s, I, s, I, s, I, s and I x x x x t t t t. 3. DERIVATION OF WAVE PARAMETERS AND AIR-SEA EXCHANGES FROM HURRICANE WIND FIELD As discussed in Hwang (016) and Hwang and Walsh (016), for wind generated waves, (U, Hs, Tp) are
16 connected by the growth functions and the full set can be computed knowing only one of the three, coupled with the fetch or duration input. At the present, the hurricane wind field is the most available product so we illustrate the computation of wave parameters and the derived quantities such as Et and Mt from the wind input. Rewriting (1), the equations for Hs and Tp with U and fetch inputs are H 8. U x, T 9.8 U x. (9) sw x pw x Similarly, for U and duration inputs (), H 1.55 U t, T 3.53 U t. () sw t pw t The subscript w is appended to the wave variables in (9) and () to emphasize that the wind-sea portion is obtained with the fetch-limited wave growth functions. The fetch and duration in those equations are computed from the harmonic model described in section. Once (U, Hs, Tp) are available, the #, #, Mt and Et can be calculated (Hwang and Sletten 008; Hwang and Walsh 016): Et EaU ; E 0.0 # #. (11) 4.3 M U ; 0.40 t M a M # # where a is the air density. Fig. 3 shows an example (approximately the middle point of case I14, 00Z 15 Sep 004) of using the HWind U to compute the wave parameters and air-sea exchange rates. If a long time series of hurricane wind field is available, the corresponding temporal variation of the wave field and air-sea exchanges can also be computed. Fig. 4 presents an application applied to Hurricane Ivan 004 (Fan et al. 009), showing (a) the energy exchange integrated over the hurricane coverage area (here defined as the circle with a 50-km radius), (b) the relative energy exchange contributions of the left- and right half-planes, (c) the momentum exchange integrated over the hurricane coverage area, and (d) the relative momentum contributions of the left- and right half-planes. These results show the temporal evolution and the asymmetric spatial distributions of energy and momentum exchanges, the right-to-left ratio of :1 to 3:1 is common. 4. SUMMARY The wave fields inside hurricanes behave similarly to those generated by steady fetch- or duration-limited wind forcing conditions (Young 1998; 006; Hwang 016; Hwang and Walsh 016). The full set of the wind-wave triplets (U, Hs, Tp) can be calculated with the fetch- or duration-limited growth functions knowing only one of three variables and accompanied with the fetch or duration information. Using the U, Hs and Tp measured inside four different hurricane scenes, we present a fetch and duration model for any location inside a hurricane. The Et and Mt of a wind wave system are functions of the wind-wave triplets, and can be calculated as well. The procedure is very useful for investigating the spatial distribution and temporal evolution of the air-sea interaction processes inside hurricanes. References Babanin, A.V., and Y. P. Soloviev, 1998: Field investigation of transformation of the wind wave frequency spectrum with fetch and the stage of development. J. Phys. Oceanogr., 8, Black, P. G. et al., 007: Air-sea exchange in hurricanes: Synthesis of observations from the coupled boundary layer air-sea transfer experiment. Bulle. Am. Meteorol. Soc., 88, Burling, R. W., 1959: The spectrum of waves at short fetches. Dtsch. Hydrogr. Z., 1, Dobson, F., W. Perrie, and B. Toulany, 1989: On the deepwater fetch laws for wind-generated surface gravity waves. Atmos.-Ocean, 7, -36. Donelan, M. A., J. Hamilton, and W. H. Hui, 1985: Directional spectra of wind-generated waves, Phil. Trans. Roy. Soc. Lond., A315, Fan, Y., I. Ginis, T. Hara, C. W. Wright, and E. J. Walsh, 009: Numerical simulations and observations of surface wave fields under an extreme tropical cyclone. J. Phys. Oceanogr., 39, Hasselmann, K. et al., 1973: Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP). Deutsch. Hydrogr. Z., Suppl. A8(1), 95pp. Holthuijsen, L. H., M. D. Powell, and J. D. Pietrzak, 01: Wind and waves in extreme hurricanes. J. Geophys. Res., 117, C Hwang, P. A., 006: Duration- and fetch-limited growth functions of wind-generated waves parameterized with three different scaling wind velocities. J. Geophys. Res., 111, C0005. Hwang, P. A., 016: Fetch- and duration-limited nature of surface wave growth inside tropical cyclones: With applications to air-sea exchange and remote sensing. J. Phys. Oceanogr., 46, Hwang, P. A., and M. A. Sletten, 008: Energy dissipation of wind-generated waves and whitecap coverage. J. Geophys. Res., 113, C001. Hwang, P. A., and D. W. Wang, 004: Field measurements of duration limited growth of wind-generated ocean surface waves at young stage of development. J. Phys. Oceanogr., 34, Hwang, P. A., and E. J. Walsh, 016: Azimuthal and radial variation of wind-generated surface waves inside tropical cyclones. J. Phys. Oceanogr. (in press). Janssen, P., 004: The Interaction of Ocean Waves and Wind. Cambridge Univ. Press, Cambridge, UK, 300 pp. Kahma, K. K., and C. J. Calkoen, 1994: Growth curve observations. In Dynamics and modeling of ocean waves, (eds.) G.J. Komen, L. Cavaleri, M. Donelan, K. Hasselmann, S. Hasselmann, and P.A.E.M. Janssen, Cambridge University Press, Komen, G. J., L. Cavaleri, M. Donelan, K. Hasselmann, S. Hasselmann, and P. A. E. M. Janssen (Eds.), 1994: Dynamics and modeling of ocean waves. Cambridge Univ. Press, Cambridge, UK, 53 pp. Moon, I.-J., I. Ginis, T. Hara, H. L. Tolman, C. W. Wright, and E J. Walsh, 003: Numerical simulation of sea surface directional wave spectra under hurricane wind forcing. J. Phys. Oceanogr., 33, Pierson, W. J., and L. Moskowitz, 1964: A proposed spectral form for full, developed wind seas based on the similarity theory of S.A. Kitaigorodskii. J. Geophys. Res., 69, Powell, M. D., S. H. Houston, and T. A. Reinhold, 1996: Hurricane Andrew s landfall in south Florida. Part I: Standardizing measurements for documentation of surface wind fields. Wea. Forecasting, 11,
17 Wright, C. W., E. J. Walsh, D. Vandemark, W. B. Krabill, A. W. Garcia, S. H. Houston, M. D. Powell, P. G. Black, and F. D. Marks, 001: Hurricane directional wave spectrum spatial variation in the open ocean. J. Phys. Oceanogr., 31, Young, I. R., 1988: Parametric hurricane wave prediction model, ASCE J. Waterway, Port, Coastal and Ocean Eng., 114, Young, I. R., 1998: Observations of the spectra of hurricane generated waves. Ocean Eng., 5, Young, I. R., 1999: Wind generated ocean waves. Elsevier, Amsterdam, the Netherlands, 88 pp. Young, I. R., 006: Directional spectra of hurricane wind waves. J. Geophys. Res., 111, C0800. Table 1. Some basic information of the four datasets, collected in hurricane Bonnie 1998 and Ivan 004, used for the analysis in this paper. File ID B4 I09 I1 I14 Start time UTC 8/4/1998 0:9 9/9/004 16:15 9/1/004 :39 9/14/004 0:09 End time UTC 8/5/1998 1:44 9/9/004 0: 9/1/004 15:41 9/14/004 :49 HRD U max (m/s) rm (km) V_a (m/s) theta_a (degn) SRA U min SRA U max SRA Hs min SRA Hs max SRA Tp min SRA Tp max # SRA spectra Table. Linear fitting coefficients of fetch and duration harmonics as a function of radius of maximum winds Y p1 Y rm p Y (8), where Y represents an,q and bn,q in (7); see text for further explanation. a0,q q s_ex I_ex s_ox I_ox s_et I_et s_ot I_ot p1-1.40e E E-0 3.E E E E E-01 p 1.57E E E E E-0 -.4E E E+00 a1,q p1-1.0e-0 1.6E E E E E E E-0 p 5.E E E-01-5.E+01.39E-0 -.3E E E+00 b1,q p1 5.1E E E E E E E E-0 p -6.87E-0 3.0E E E+0 5.5E E E E+00 a,q p1 5.55E E E-0-1.E+00 3.E E E E-0 p -4.79E-01.5E E E E-0 1.7E E-0 3.4E+00 b,q p1-3.3e e E E E E E E-0 p.11e E E E E E E E+00 a3,q p1 6.44E E E-0-9.1E E E-0 6.3E E-0 p -3.9E-01.85E E E E E E-0.18E+00 b3,q p1 1.91E E E E E E E E-0 p -.5E-01.11E E E E-0 8.7E E E+00
18 Fig. 1. Slope sq and intercept Iq of q s r I, where q can be x, x, t or t. The results obtained from datasets B4, I09, I1 and I14 (Table q q x x t t 1) are shown in the 4 quadrants, respectively upper left (UL), upper right (UR), lower left (LL) and lower right (LR). The solid, dashed and dotted curves corresponding to the first, second and third order Fourier series are also superimposed in each panel. For each dataset, s and I are plotted in (a) and (b) for xx, (c) and (d) for xx, (e) and (f) for tt, and (g) and (h) for tt. N Fig.. Harmonic representations q an, q cos nbn, q sin n of the slopes and intercepts of the linear functions n0 defining the fetch and duration, where q can be s, I, s, I, s, I, s or I x x x x t t t t. The harmonics an,q and bn,q show linear dependence on rm, n=0, 1,, 3 (b0,q=0). (UL): Slopes of fetch for wave height and wave period: (a) an,sx, (b) bn,sx, (c) an,sx, and (d) bn,sx; (UR): Intercepts of fetch for wave height and wave period: (a) an,ix, (b) bn,ix, (c) an,ix, and (d) bn,ix; (LL): Slopes of duration for wave height and wave period: (a) an,st, (b) bn,st, (c) an,st, and (d) bn,st; (LR): Intercepts of duration for wave height and wave period: (a) an,it, (b) bn,it, (c) an,it, and (d) bn,it.n.
19 Fig. 3. An example illustrating the derivation of wave and air-sea interaction parameters using the hurricane wind field as an input, shown here are (a) input U, and outputs of (b) Hsw, (c) Tpw, (d) #, (e) Et, (f) Mt; subscript w emphasizes that the wave parameters derived from the fetch- and duration-growth functions are the wind sea components.
Oceanographic Aspect of Tropical Cyclone Wind and Wave Remote Sensing
14 Oceanographic Aspect of Tropical Cyclone Wind and Wave Remote Sensing Paul A. Hwang, Yalin Fan, Xiaofeng Li, and Weizeng Shao CONTENTS 14.1 Introduction...287 14.2 Enabling Scientific Principle: Fetch-
More informationWave Forecasting using computer models Results from a one-dimensional model
Proceedings of the World Congress on Engineering and Computer Science 007 WCECS 007, October -6, 007, San Francisco, USA Wave Forecasting using computer models Results from a one-dimensional model S.K.
More informationMomentum Flux Budget Across Air-sea Interface under Uniform and Tropical Cyclone Winds
Momentum Flux Budget Across Air-sea Interface under Uniform and Tropical Cyclone Winds Yalin Fan 1, Isaac Ginis 2, Tetsu Hara 2 1. AOS, Princeton University / GFDL, NOAA, Princeton, New Jersey 2. Graduate
More informationNumerical Simulations and Observations of Surface Wave Fields under an Extreme Tropical Cyclone
SEPTEMBER 2009 F A N E T A L. 2097 Numerical Simulations and Observations of Surface Wave Fields under an Extreme Tropical Cyclone YALIN FAN, ISAAC GINIS, AND TETSU HARA Graduate School of Oceanography,
More informationHurricane Wave Topography and Directional Wave Spectra in Near Real-Time
Hurricane Wave Topography and Directional Wave Spectra in Near Real-Time Edward J. Walsh NASA/Goddard Space Flight Center, Code 972 Wallops Flight Facility, Wallops Island, VA 23337 phone: (303) 497-6357
More informationWave number spectrum and mean square slope of intermediate-scale ocean surface waves
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110,, doi:10.1029/2005jc003002, 2005 Wave number spectrum and mean square slope of intermediate-scale ocean surface waves Paul A. Hwang Oceanography Division, Naval
More informationOn another concept of Hasselmann equation source terms
On another concept of Hasselmann equation source terms An exploration of tuning - free models Vladimir Zakharov, Donal Resio, Andrei Pushkarev Waves and Solitons LLC University of Arizona University of
More informationAtmospheric stability parameters and sea storm severity
Coastal Engineering 81 Atmospheric stability parameters and sea storm severity G. Benassai & L. Zuzolo Institute of Meteorology & Oceanography, Parthenope University, Naples, Italy Abstract The preliminary
More informationNumerical Simulation of Sea Surface Directional Wave Spectra under Hurricane Wind Forcing
1680 JOURNAL OF PHYSICAL OCEANOGRAPHY Numerical Simulation of Sea Surface Directional Wave Spectra under Hurricane Wind Forcing IL-JU MOON, ISAAC GINIS, AND TETSU HARA Graduate School of Oceanography,
More informationWIND GENERATED OCEAN WAVES IAN R. YOUNG
ELSEVIER OCEAN ENGINEERING BOOR SERIES VOLUME 2 WIND GENERATED OCEAN WAVES IAN R. YOUNG University of Adelaide, Australia OCEAN ENGINEERING SERIES EDITORS R. Bhattacharyya & M.E. McCormick 1999 ELSEVIER
More informationWave Forecast and Wave Climate, Advances and Challenges
Wave Forecast and Wave Climate, Advances and Challenges Alexander Babanin, Ian Young and Stefan Zieger Swinburne University, Melbourne Australian National University, Canberra Australian Bureau of Meteorology,
More informationTSA - a two scale approximation for wind-generated ocean surface waves
TSA - a two scale approximation for wind-generated ocean surface waves William Perrie Bedford Institute of Oceanography, 1 Challenger Dr., Dartmouth Nova Scotia, B2Y4A2 Canada Phone: (902) 426-3985 FAX:
More informationCOMPARISON OF GULF OF MEXICO WAVE INFORMATION STUDIES (WIS) 2-G HINDCAST WITH 3-G HINDCASTING Barbara A. Tracy and Alan Cialone
COMPARISON OF GULF OF MEXICO WAVE INFORMATION STUDIES (WIS) 2-G HINDCAST WITH 3-G HINDCASTING Barbara A. Tracy and Alan Cialone Engineer Research and Development Center Coastal and Hydraulics Laboratory
More informationNew findings on hurricane intensity, wind field extent, and surface drag coefficient behavior
New findings on hurricane intensity, wind field extent, and surface drag coefficient behavior Mark D. Powell NOAA Atlantic Oceanographic and Meteorological Laboratories Hurricane Research Division Miami
More informationImplementation of New Experimental Input/Dissipation Terms for Modelling Spectral Evolution of Wind Waves
Implementation of New Experimental Input/Dissipation Terms for Modelling Spectral Evolution of Wind Waves Alexander Babanin 1 * *, Kakha Tsagareli 2, Ian Young 1 and David Walker 2 1 Swinburne University
More informationMomentum Flux Budget across the Air Sea Interface under Uniform and Tropical Cyclone Winds
OCTOBER 2010 F A N E T A L. 2221 Momentum Flux Budget across the Air Sea Interface under Uniform and Tropical Cyclone Winds YALIN FAN Atmospheric and Oceanic Sciences Program, Princeton University, and
More informationImportance of air-sea interaction on the coupled typhoon-wave-ocean modeling
Importance of air-sea interaction on the coupled typhoon-wave-ocean modeling Collaborators: I. Ginis (GSO/URI) T. Hara (GSO/URI) B. Thomas (GSO/URI) H. Tolman (NCEP/NOAA) IL-JU MOON ( 文一柱 ) Cheju National
More informationImpact of the Waves on the Sea Surface Roughness Length under Idealized Like-Hurricane Wind Conditions (Part II)
Atmospheric and Climate Sciences, 2015, 5, 326-335 Published Online July 2015 in SciRes. http://www.scirp.org/journal/acs http://dx.doi.org/10.4236/acs.2015.53025 Impact of the Waves on the Sea Surface
More informationOn Use of Internal Constraints in Recently Developed Physics for Wave Models
Naval Research Laboratory On Use of Internal Constraints in Recently Developed Physics for Wave Models Presented by Erick Rogers Oceanography Division Naval Research Laboratory Stennis Space Center, MS,
More informationMECHANISMS OF THE EQUILIBRIUM-RANGE FORMATION IN THE WIND-WAVE SPECTRUM. NUMERICAL SIMULATION. Polnikov V.G.
MECHANISMS OF THE EQUILIBRIUM-RANGE FORMATION IN THE WIND-WAVE SPECTRUM. NUMERICAL SIMULATION Polnikov V.G. Obukhov Institute of Atmospheric Physics of RAS, Moscow, Russia 907 e-mail: Polnikov@mail.ru
More informationInter comparison of wave height observations from buoy and altimeter with numerical prediction
Indian Journal of Geo-Marine Sciences Vol. 43(7), July 2014, pp. 1347-1351 Inter comparison of wave height observations from buoy and altimeter with numerical prediction S. A. Sannasiraj 1*, M. Kalyani
More informationEvaluating the results of Hormuz strait wave simulations using WAVEWATCH-III and MIKE21-SW
Int. J. Mar. Sci. Eng., 2 (2), 163-170, Spring 2012 ISSN 2251-6743 IAU Evaluating the results of Hormuz strait wave simulations using WAVEWATCH-III and MIKE21-SW *F. S. Sharifi; M. Ezam; A. Karami Khaniki
More informationStorm surge and wave simulations in the Gulf of Mexico using a consistent drag relation for atmospheric and storm surge models
doi:10.5194/nhess-12-2399-2012 Author(s) 2012. CC Attribution 3.0 License. Natural Hazards and Earth System Sciences Storm surge and wave simulations in the Gulf of Mexico using a consistent drag relation
More informationThe Details of Detailed Balance. Don Resio University of North Florida Chuck Long Retired Will Perrie Bedford Institute of Oceanography
The Details of Detailed Balance Don Resio University of North Florida Chuck Long Retired Will Perrie Bedford Institute of Oceanography MOTIVATION Spectral shape provides critical information for understanding
More informationDuration- and fetch-limited growth functions of wind-generated waves parameterized with three different scaling wind velocities
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 111, C02005, doi:10.1029/2005jc003180, 2006 Duration- and fetch-limited growth functions of wind-generated waves parameterized with three different scaling wind velocities
More informationImproved Parameterizations Of Nonlinear Four Wave Interactions For Application In Operational Wave Prediction Models
Improved Parameterizations Of Nonlinear Four Wave Interactions For Application In Operational Wave Prediction Models Gerbrant Ph. van Vledder ALKYON Hydraulic Consultancy & Research P.O.Box 248, 8300 AD
More informationEarly Student Support for a Process Study of Oceanic Responses to Typhoons
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Early Student Support for a Process Study of Oceanic Responses to Typhoons Ren-Chieh Lien Applied Physics Laboratory University
More informationHURRICANE - GENERATED OCEAN WAVES
HURRICANE - GENERATED OCEAN WAVES Fumin Xu,, Will Perrie Bechara Toulany and Peter C Smith Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada College of Ocean Engineering,
More informationWAVE DYNAMICS AND ITS IMPACT TO WAVE CLIMATE PROJECTION
WAVE DYNAMICS AND ITS IMPACT TO WAVE CLIMATE PROJECTION Tomoya Shimura 1, Nobuhito Mori 2, Tomohiro Yasuda 2 and Hajime Mase 2 Impacts and adaptations of climate change have been studied in various fields.
More informationAir-Sea Interaction in Extreme Weather Conditions
Air-Sea Interaction in Extreme Weather Conditions Hans (J.W.) de Vries, Niels Zweers,, Vladimir Makin, Vladimir Kudryavtsev, and Gerrit Burgers, KNMI, De Bilt, NL Meteogroup, Wageningen, NL NIERSC, St.
More informationImproving Air-Sea Coupling Parameterizations in High-Wind Regimes
Improving Air-Sea Coupling Parameterizations in High-Wind Regimes PI: Dr. Shuyi S. Chen Co-PI: Dr. Mark A. Donelan Rosenstiel School of Marine and Atmospheric Science, University of Miami 4600 Rickenbacker
More informationUpgrades to the Operational Sea State Forecast System
NMOC Operations Bulletin No. 53 Upgrades to the Operational Sea State Forecast System Introduction 25 August 2000 The WAM wave model (WAMDI, 1988, Komen et al., 1994) has been the operational sea state
More informationFreakish sea state and swell-windsea coupling: Numerical study of the Suwa-Maru incident
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L01607, doi:10.1029/2008gl036280, 2009 Freakish sea state and swell-windsea coupling: Numerical study of the Suwa-Maru incident H. Tamura,
More informationImproved Tropical Cyclone Boundary Layer Wind Retrievals. From Airborne Doppler Radar
Improved Tropical Cyclone Boundary Layer Wind Retrievals From Airborne Doppler Radar Shannon L. McElhinney and Michael M. Bell University of Hawaii at Manoa Recent studies have highlighted the importance
More informationESTIMATION OF DESIGN WAVE HEIGHT AND COASTAL DEFENSE: CONSIDERATION OF GLOBAL CLIMATE CHANGE. Abstract
9th International Conference on Public Communication of Science and Technology (PCST) Seoul, South Korea, 17-19 May 2006 ESTIMATION OF DESIGN WAVE HEIGHT AND COASTAL DEFENSE: CONSIDERATION OF GLOBAL CLIMATE
More informationOcean Wave Prediction Using Numerical and Neural Network Models
12 The Open Ocean Engineering Journal, 2010, 3, 12-17 Open Access Ocean Wave Prediction Using Numerical and Neural Network Models S. Mandal* and N. Prabaharan National Institute of Oceanography, Dona Paula,
More informationApplication of an Efficient Second-Generation Wave Model to Coupled Surge Modeling
Application of an Efficient Second-Generation Wave Model to Coupled Surge Modeling André van der Westhuysen 1, Dongming Yang 1, Jamie Rhome 2, Keqi Zhang 3, Brian Zachry 2, Ethan Gibney 2 and Cristina
More informationWave forecasting from R/V Sikuliaq cruise Sep 30 Nov 10
Wave forecasting from R/V Sikuliaq cruise Sep 30 Nov 10 Erick Rogers Naval Research Laboratory, Oceanography Division, Stennis Space Center, MS SeaState Modeling/Forecasting Workshop 1 WAM, WAVEWATCH III
More information18A.2 PREDICTION OF ATLANTIC TROPICAL CYCLONES WITH THE ADVANCED HURRICANE WRF (AHW) MODEL
18A.2 PREDICTION OF ATLANTIC TROPICAL CYCLONES WITH THE ADVANCED HURRICANE WRF (AHW) MODEL Jimy Dudhia *, James Done, Wei Wang, Yongsheng Chen, Qingnong Xiao, Christopher Davis, Greg Holland, Richard Rotunno,
More informationDeliverable D1.2 Technical report with the characteristics of the models. Atmospheric model WRF-ARW
Deliverable D1.2 Technical report with the characteristics of the models Atmospheric model WRF-ARW The Weather Research and Forecasting (WRF) Model (http://www.wrf-model.org) is an advanced mesoscale numerical
More informationSelf-Similarity of Wind-Wave Spectra. Numerical and Theoretical Studies
Self-Similarity of Wind-Wave Spectra. Numerical and Theoretical Studies Sergei I. Badulin 1, Andrei N. Pushkarev 2,3, Donald Resio 4, and Vladimir E. Zakharov 2,5 1 P.P.Shirshov Institute of Oceanology,
More informationTSA - a two scale approximation for wind-generated ocean surface waves
TSA - a two scale approximation for wind-generated ocean surface waves William Perrie Bedford Institute of Oceanography, 1 Challenger Dr., Dartmouth Nova Scotia, B2Y4A2 Canada Phone: (902) 426-3985 FAX:
More informationAtmosphere-Ocean Interaction in Tropical Cyclones
Atmosphere-Ocean Interaction in Tropical Cyclones Isaac Ginis University of Rhode Island Collaborators: T. Hara, Y.Fan, I-J Moon, R. Yablonsky. ECMWF, November 10-12, 12, 2008 Air-Sea Interaction in Tropical
More informationCHAPTER 20 THE MAXIMUM SIGNIFICANT WAVE HEIGHT IN THE SOUTHERN NORTH SEA
CHAPTER 20 THE MAXIMUM SIGNIFICANT WAVE HEIGHT IN THE SOUTHERN NORTH SEA L.H. Holthuijsen\ J.G. de Ronde 2, Y. Eldeberky 1, H.L. Tolman 3, N. Booif, E. Bouws 4, P.G.P. Ferier 1, J. Andorka Gal 2 Abstract
More informationHURRICANE-GENERATED WIND-WAVE RESEARCH AT NOAA/NCEP 1. Jose-Henrique G.M. Alves 2,3, Hendrik L. Tolman 2,4 and Yung Y. Chao 5
HURRICANE-GENERATED WIND-WAVE RESEARCH AT NOAA/NCEP 1 Jose-Henrique G.M. Alves 2,3, Hendrik L. Tolman 2,4 and Yung Y. Chao 5 NOAA/NCEP/EMC Marine Modeling and Analysis Branch Camp Springs, Maryland, USA
More informationNumerical Modeling of Fetch-Limited Waves in the Gulf of Tehuantepec
466 J O U R N A L O F P H Y S I C A L O C E A N O G R A P H Y VOLUME 40 Numerical Modeling of Fetch-Limited Waves in the Gulf of Tehuantepec LEONEL ROMERO AND W. KENDALL MELVILLE Scripps Institution of
More informationWave simulation using SWAN in nested and unnested mode applications
www.ec.gc.ca Wave simulation using SWAN in nested and unnested mode applications Roop Lalbeharry 1 and Hal Ritchie 2 Environment Canada, Science and Technology Branch 1 Meteorological Research Division,
More informationCoupled Ocean Circulation and Wind-Wave Models With Data Assimilation Using Altimeter Statistics
Coupled Ocean Circulation and Wind-Wave Models With Data Assimilation Using Altimeter Statistics Abstract ZHANG HONG, SANNASIRAJ, S.A., MD. MONIRUL ISLAM AND CHOO HENG KEK Tropical Marine Science Institute,
More informationExamination of the Impact of a Coupled Atmospheric and Ocean Wave System. Part II: Ocean Wave Aspects
402 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 30 Examination of the Impact of a Coupled Atmospheric and Ocean Wave System. Part II: Ocean Wave Aspects R. LALBEHARRY Recherche en Prévision Numérique, Atmospheric
More informationSynthesis of TKE Dissipation Rate Observations in the Ocean's Wave Zone
Synthesis of TKE Dissipation Rate Observations in the Ocean's Wave Zone Ayal Anis Department of Oceanography Texas A&M University Galveston, TX 77551 phone: (409) 740-4987 fax: (409) 740-4786 email: anisa@tamug.tamu.edu
More information28th Conference on Hurricanes and Tropical Meteorology, 28 April 2 May 2008, Orlando, Florida.
P2B. TROPICAL INTENSITY FORECASTING USING A SATELLITE-BASED TOTAL PRECIPITABLE WATER PRODUCT Mark DeMaria* NOAA/NESDIS/StAR, Fort Collins, CO Jeffery D. Hawkins Naval Research Laboratory, Monterey, CA
More informationImpact of sea state on atmosphere and ocean
Impact of sea state on atmosphere and ocean Peter Janssen, Oyvind Saetra, Cecilie Wettre, Jean Bidlot, and Anton Beljaars E.C.M.W.F., Shinfield Park, Reading, RG2 9AX, U.K. ABSTRACT Ocean waves represent
More informationAsymmetry in Wind Field of Typhoon 0115 analyzed by Triple Doppler Radar Observation
Asymmetry in Wind Field of Typhoon 115 analyzed by Triple Doppler Radar Observation Hiroshi YAMAUCHI*, Osamu SUZUKI (Meteorological Research Institute Kenji AKAEDA (Japan Meteorological Agency 1. Introduction
More information30 If Vmax > 150, HSI intensity pts = 25
Hurricane Severity Index: A New Way of Estimating a Tropical Cyclone s Destructive Potential 1. Introduction Christopher G. Hebert*, Robert A. Weinzapfel*, Mark A. Chambers* Impactweather, Inc., Houston,
More informationImproved Source Term Specification Improved Evolutionary Characteristics of Directional Spectra
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Improved Source Term Specification Improved Evolutionary Characteristics of Directional Spectra Donald T. Resio University
More informationQ-Winds satellite hurricane wind retrievals and H*Wind comparisons
Q-Winds satellite hurricane wind retrievals and H*Wind comparisons Pet Laupattarakasem and W. Linwood Jones Central Florida Remote Sensing Laboratory University of Central Florida Orlando, Florida 3816-
More informationThe Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones
The Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones Principal Investigator: Dr. Zhaoxia Pu Department of Meteorology, University
More informationAsymmetry in Directional Spreading Function of Random Waves due to Refraction
Asymmetry in Directional Spreading Function of Random Waves due to Refraction Changhoon Lee 1 ; JaeSang Jung 2 ; and Merrick C. Haller 3 Abstract: In this study, a more general directional spreading function
More informationRecent improvements on the wave forecasting system of Meteo-France: modeling and assimilation aspects
Recent improvements on the wave forecasting system of Meteo-France: modeling and assimilation aspects L. Aouf and J-M. Lefèvre Division Marine et Océanographie, Météo-France 13 th International workshop
More informationMonthly Variations of Global Wave Climate due to Global Warming
Jurnal Teknologi Full paper Monthly Variations of Global Wave Climate due to Global Warming Muhammad Zikra a*, Noriaki Hashimoto b, Kodama Mitsuyasu c, Kriyo Sambodho d a Ocean Engineering Department,
More informationCHAPTER 37, PREDICTION OF DOMINANT WAVE PROPERTIES AHEAD OF HURRICANES. Omar H. Shemdin ABSTRACT
CHAPTER 37, PREDICTION OF DOMINANT WAVE PROPERTIES AHEAD OF HURRICANES by Omar H. Shemdin ABSTRACT A method is proposed for predicting properties of dominant waves in the forward region of hurricanes where
More informationWindSat Ocean Surface Emissivity Dependence on Wind Speed in Tropical Cyclones. Amanda Mims University of Michigan, Ann Arbor, MI
WindSat Ocean Surface Emissivity Dependence on Wind Speed in Tropical Cyclones Amanda Mims University of Michigan, Ann Arbor, MI Abstract Radiometers are adept at retrieving near surface ocean wind vectors.
More informationImpact of Turbulence on the Intensity of Hurricanes in Numerical Models* Richard Rotunno NCAR
Impact of Turbulence on the Intensity of Hurricanes in Numerical Models* Richard Rotunno NCAR *Based on: Bryan, G. H., and R. Rotunno, 2009: The maximum intensity of tropical cyclones in axisymmetric numerical
More informationSpecification of Tropical Cyclone Parameters From Aircraft Reconnaissance. Andrew Cox and Vincent Cardone Oceanweather Inc.
Specification of Tropical Cyclone Parameters From Aircraft Reconnaissance Andrew Cox and Vincent Cardone Oceanweather Inc. Cos Cob, CT, USA Motivation This paper is part of on-going work to improve the
More informationAn evaluation of ocean wave model performances with linear and nonlinear dissipation source terms in Lake Erie
An evaluation of ocean wave model performances with linear and nonlinear dissipation source terms in Lake Erie Roop Lalbeharry 1, Arno Behrens 2, Heinz Guenther 2 and Laurie Wilson 1 1 Meteorological Service
More informationWave analysis at Lubiatowo and in the Pomeranian Bay based on measurements from 1997/1998 comparison with modelled data (WAM4 model)
Wave analysis at Lubiatowo and in the Pomeranian Bay based on measurements from 1997/1998 comparison with modelled data (WAM4 model) Barbara Paplińska Institute of Hydro-Engineering, Polish Academy of
More informationUSING PROGRAM HURRICANE. Download all the files, including the (empty) output subdirectory into a new folder on your machine.
USING PROGRAM HURRICANE Download all the files, including the (empty) output subdirectory into a new folder on your machine. QuickStart: First compile hurr.f. Modify the first column of the input file
More informationEvaluations of Global Wind Prediction at Fleet Numerical Meteorology and Oceanography Center: from the Perspective of a Wave Modeler
Naval Research Laboratory Stennis Space Center, MS 39529-5004 NRL/MR/7320--04-8823 Evaluations of Global Wind Prediction at Fleet Numerical Meteorology and Oceanography Center: from the Perspective of
More informationDYNAMIC POSITIONING CONFERENCE October 7-8, Operations. Using GIS to Understand Hurricane Windfields in the Gulf of Mexico
Return to Session Directory DYNAMIC POSITIONING CONFERENCE October 7-8, 2008 Operations Using GIS to Understand Hurricane Windfields in the Gulf of Mexico Jill F. Hasling and Maureen T. Maiuri Weather
More informationRetrieving Surface Wind Directions from Neural-Net Wind Speed Retrievals in Tropical Cyclones
Retrieving Surface Wind Directions from Neural-Net Wind Speed Retrievals in Tropical Cyclones Ralph Foster, Applied Physics Laboratory, University of WA Jerome Patoux, Atmospheric Sciences, University
More informationEarly Student Support for a Process Study of Oceanic Responses to Typhoons
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Early Student Support for a Process Study of Oceanic Responses to Typhoons Ren-Chieh Lien Applied Physics Laboratory University
More informationWave height forecasting in Dayyer, the Persian Gulf
Griffith Research Online https://research-repository.griffith.edu.au Wave height forecasting in Dayyer, the Persian Gulf Author Kamranzad, B., Eternad Shahidi, A., Etemad-Shahidi, A. Published 2011 Journal
More informationEstimation of Temporally Evolving Typhoon Winds and Waves from Synthetic Aperture Radar
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Estimation of Temporally Evolving Typhoon Winds and Waves from Synthetic Aperture Radar David Walker SRI International
More informationThe NOPP Operational Wave Model Improvement Project
The NOPP Operational Wave Model Improvement Project Toward a next generation of wind wave model physics Hendrik L. Tolman, NOAA/NCEP Michael L. Banner, UNSW James M. Kaihatu, TAMU Hendrik.Tolman@NOAA.gov
More informationSUPPLEMENTAL MATERIALS FOR:
SUPPLEMENTAL MATERIALS FOR: Simulated reduction in Atlantic hurricane frequency under 21 st century warming conditions Thomas R. Knutson, Joseph J. Sirutis, Stephen T. Garner, Gabriel A. Vecchi, and Isaac
More informationPost Processing of Hurricane Model Forecasts
Post Processing of Hurricane Model Forecasts T. N. Krishnamurti Florida State University Tallahassee, FL Collaborators: Anu Simon, Mrinal Biswas, Andrew Martin, Christopher Davis, Aarolyn Hayes, Naomi
More informationSession 2 Presentation - A New Generation of Spectral Wave Models
University of New Orleans ScholarWorks@UNO Ocean Waves Workshop Ocean Waves Workshop 2017 Dec 7th, 11:00 AM - 11:45 AM Session 2 Presentation - A New Generation of Spectral Wave Models Don Resio University
More informationObservation of Hurricane-Generated Ocean Swell Refraction at the Gulf Stream North Wall With the RADARSAT-1 Synthetic Aperture Radar
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 40, NO. 10, OCTOBER 2002 2131 Observation of Hurricane-Generated Ocean Swell Refraction at the Gulf Stream North Wall With the RADARSAT-1 Synthetic
More informationStatistical properties of mechanically generated surface gravity waves: a laboratory experiment in a 3D wave basin
Statistical properties of mechanically generated surface gravity waves: a laboratory experiment in a 3D wave basin M. Onorato 1, L. Cavaleri 2, O.Gramstad 3, P.A.E.M. Janssen 4, J. Monbaliu 5, A. R. Osborne
More informationSpectral Energy Balance of Breaking Waves within the Surf Zone*
2723 Spectral Energy Balance of Breaking Waves within the Surf Zone* T. H. C. HERBERS AND N. R. RUSSNOGLE Department of Oceanography, Naval Postgraduate School, Monterey, California STEVE ELGAR Applied
More informationEffect of Typhoon-Driven Ocean Waves on Sea-to-Air Transfer of Dimethylsulfide (DMS)
Effect of Typhoon-Driven Ocean Waves on Sea-to-Air Transfer of Dimethylsulfide (DMS) Peter C Chu Department of Oceanography Naval Postgraduate School Monterey, California, USA pcchu@nps.edu http://www.oc.nps.navy.mil/~chu
More informationTHE EFFECT OF ALTIMETER SAMPLING PATTERNS ON ESTIMATES OF WAVE MODEL ERROR CORRELATIONS
THE EFFECT OF ALTIMETER SAMPLING PATTERNS ON ESTIMATES OF WAVE MODEL ERROR CORRELATIONS. INTRODUCTION D. J. M. Greenslade Bureau of Meteorology Research Centre, Melbourne, Australia I. R. Young Faculty
More informationP1.6 Simulation of the impact of new aircraft and satellite-based ocean surface wind measurements on H*Wind analyses
P1.6 Simulation of the impact of new aircraft and satellite-based ocean surface wind measurements on H*Wind analyses Timothy L. Miller 1, R. Atlas 2, P. G. Black 3, J. L. Case 4, S. S. Chen 5, R. E. Hood
More informationOn the impact of the assimilation of ASAR wave spectra in the wave model MFWAM
On the impact of the assimilation of ASAR wave spectra in the wave model MFWAM Lotfi Aouf, Jean-Michel Lefèvre Météo-France, Toulouse SEASAR 2012, 4 th International workshop on Advances in SAR oceanography,
More informationA numerical study of wave-current interaction through surface and bottom stresses: Coastal ocean response to Hurricane Fran of 1996
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. C2, 3049, doi:10.1029/2001jc001078, 2003 A numerical study of wave-current interaction through surface and bottom stresses: Coastal ocean response to Hurricane
More informationOccurrence of Freak Waves from Envelope Equations in Random Ocean Wave Simulations
Occurrence of Freak Waves from Envelope Equations in Random Ocean Wave Simulations Miguel Onorato, Alfred R. Osborne, Marina Serio, and Tomaso Damiani Universitá di Torino, Via P. Giuria, - 025, Torino,
More informationDevelopment of a bimodal structure in ocean wave spectra
Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 115,, doi:10.1029/2009jc005495, 2010 Development of a bimodal structure in ocean wave spectra A. Toffoli, 1,2 M. Onorato, 3 E. M. Bitner-Gregersen,
More informationSAMPLE CHAPTERS UNESCO EOLSS WAVES IN THE OCEANS. Wolfgang Fennel Institut für Ostseeforschung Warnemünde (IOW) an der Universität Rostock,Germany
WAVES IN THE OCEANS Wolfgang Fennel Institut für Ostseeforschung Warnemünde (IOW) an der Universität Rostock,Germany Keywords: Wind waves, dispersion, internal waves, inertial oscillations, inertial waves,
More informationThe CBLAST-Hurricane Program and the Next-Generation Fully Coupled Atmosphere- Wave-Ocean Models for Hurricane Research and Prediction
The CBLAST-Hurricane Program and the Next-Generation Fully Coupled Atmosphere- Wave-Ocean Models for Hurricane Research and Prediction Shuyi S. Chen 1*, James F. Price 2, Wei Zhao 1, Mark A. Donelan 1,
More informationA Numerical Simulation for Predicting Sea Waves Characteristics and Downtime for Marine and Offshore Structures Installation Operations
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 A Numerical Simulation for Predicting Sea Waves Characteristics and Downtime for Marine and Offshore Structures Installation Operations Kabir Sadeghi
More informationAir-sea interaction through waves
Air-sea interaction through waves Peter A.E.M. Janssen ECMWF Shinfield Park Reading, U.K. p.janssen@ecmwf.int ABSTRACT At ECMWF suggestions emanating from the 970 s regarding the sea state dependence of
More information14th Congress of the International Society of Photogrammetry, Hamburg 1980 Commission VII
14th Congress of the International Society of Photogrammetry, Hamburg 1980 Commission VII Working Group VII, 4: Invited Paper Oceanography and Sea Ice P. Deleonibus and J. Ernst NOAA, National Environmental
More informationImproving Surface Flux Parameterizations in the NRL Coupled Ocean/Atmosphere Mesoscale Prediction System
Improving Surface Flux Parameterizations in the NRL Coupled Ocean/Atmosphere Mesoscale Prediction System LONG-TERM GOAL Shouping Wang Naval Research Laboratory Monterey, CA 93943 Phone: (831) 656-4719
More informationRecent record-breaking high ocean waves induced by typhoons in the seas adjacent to Korea
Journal of Coastal Research SI 75 1397-1401 Coconut Creek, Florida 2016 Recent record-breaking high ocean waves induced by typhoons in the seas adjacent to Korea Il-Ju Moon,Minyeong Kim,Minsu Joh, Jooneun
More informationSMAP Winds. Hurricane Irma Sep 5, AMS 33rd Conference on Hurricanes and Tropical Meteorology Ponte Vedra, Florida, 4/16 4/20, 2018
Intensity and Size of Strong Tropical Cyclones in 2017 from NASA's SMAP L-Band Radiometer Thomas Meissner, Lucrezia Ricciardulli, Frank Wentz, Remote Sensing Systems, Santa Rosa, USA Charles Sampson, Naval
More informationRefined Source Terms in WAVEWATCH III with Wave Breaking and Sea Spray Forecasts
Refined Source Terms in WAVEWATCH III with Wave Breaking and Sea Spray Forecasts Michael L. Banner School of Mathematics and Statistics, The University of New South Wales, Sydney 2052, Australia Tel :
More informationThe effects of wind-driven waves and ocean spray on the drag coefficient and near-surface wind profiles over the ocean
Acta Oceanol. Sin., 216, Vol. 35, No. 11, P. 79 85 DOI: 1.17/s13131-16-95-6 http://www.hyxb.org.cn E-mail: hyxbe@263.net The effects of wind-driven waves and ocean spray on the drag coefficient and near-surface
More informationEvaluation of a Wind-Wave System for Ensemble Tropical Cyclone Wave Forecasting. Part II: Waves
316 W E A T H E R A N D F O R E C A S T I N G VOLUME 28 Evaluation of a Wind-Wave System for Ensemble Tropical Cyclone Wave Forecasting. Part II: Waves STEVEN M. LAZARUS, SAMUEL T. WILSON, MICHAEL E. SPLITT,
More informationRELATION BETWEEN WIND AND WIND CURRENTS ON THE SYNOPTIC SCALE WITH ACCOUNT OF WAVE CONDITIONS
1 RELATION BETWEEN WIND AND WIND CRRENTS ON THE SYNOPTIC SCALE WITH ACCONT OF WAVE CONDITIONS Polnikov VG, Obukhov Institute of Atmospheric Physics. 11917 Moscow, Pyzhevsky, 3; polnikov@mail.ru Kabatchenko
More informationRelationbetweenOverwaterFrictionVelocityandWindSpeedat10mDuringHurricaneRita
Global Journal of Science Frontier Research: I Marine Science Volume 15 Issue 2 Version 1.0 Year 2015 Type : Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA
More information