$L$ -Band Ocean Surface Roughness

Surface wave spectral properties of centimeter to decameter (cmDm) wavelengths are of great interest to microwave remote sensing of the ocean. They are obviously different from the high-frequency extension of the wind-wave spectrum models developed for ocean science and engineering applications, which focus on the longer waves in the energetic peak region of the wave spectrum. For more than six decades, the cmDm waves are generally considered to be in the equilibrium range, and its spectral function has a constant slope: −5 or −4 in the 1-D frequency spectrum, and −3 or −2.5 in the 1-D wavenumber spectrum. The observed wind-wave spectral slopes, however, are not constant. As a result, the cmDm wave properties are significantly different from those inferred from an equilibrium spectrum model. Surface slope measurements are more suited for studying the cmDm waves. Microwave radar backscattering cross sections have been used to study the shorter range of cmDm waves. L-band lowpass-filtered mean square slope (LPMSS) is contributed by waves longer than about 0.6 m, here referred to as the decimeter to decameter (dmDm) waves. The analysis of LPMSS has improved the modeling of dmDm waves. Ultimately, the spectral slope variation is a critical characteristic of cmDm waves. The wave spectrum model formulated with the variable spectral slope consideration produces very good agreement with L-band scatterometer and reflectometer measurements.

[1]  David W. Wang,et al.  Ocean Surface Roughness Spectrum in High Wind Condition for Microwave Backscatter and Emission Computations , 2013 .

[2]  Edward J. Walsh,et al.  Azimuthal and Radial Variation of Wind-Generated Surface Waves inside Tropical Cyclones , 2016 .

[3]  Thomas Meissner,et al.  The emission and scattering of L‐band microwave radiation from rough ocean surfaces and wind speed measurements from the Aquarius sensor , 2014 .

[4]  Peter G. Black,et al.  Hurricane Directional Wave Spectrum Spatial Variation at Landfall , 2002 .

[5]  N. Reul,et al.  Whitecap and Wind Stress Observations by Microwave Radiometers: Global Coverage and Extreme Conditions , 2019, Journal of Physical Oceanography.

[6]  Stephen J. Katzberg,et al.  The use of reflected GPS signals to retrieve ocean surface wind speeds in tropical cyclones , 2013 .

[7]  Wenqing Tang,et al.  SMAP L-Band Passive Microwave Observations of Ocean Surface Wind During Severe Storms , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Paul A. Hwang,et al.  Effective Fetch and Duration of Tropical Cyclone Wind Fields Estimated from Simultaneous Wind and Wave Measurements: Surface Wave and Air–Sea Exchange Computation , 2017 .

[9]  P. Hwang,et al.  Surface roughness and breaking wave properties retrieved from polarimetric microwave radar backscattering , 2015 .

[10]  P. Hwang,et al.  Propagation Directions of Ocean Surface Waves inside Tropical Cyclones , 2018, Journal of Physical Oceanography.

[11]  Bertrand Chapron,et al.  A revised L-band radio-brightness sensitivity to extreme winds under Tropical Cyclones: the five year SMOS-storm database , 2016 .

[12]  Wenqing Tang,et al.  On Extreme Winds at L-Band with the SMAP Synthetic Aperture Radar , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

[13]  M. Donelan,et al.  Radar scattering and equilibrium ranges in wind‐generated waves with application to scatterometry , 1987 .

[14]  Wenqing Tang,et al.  L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Randall Rose,et al.  New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection , 2016 .

[16]  Paul A. Hwang,et al.  High-Wind Drag Coefficient and Whitecap Coverage Derived from Microwave Radiometer Observations in Tropical Cyclones , 2018, Journal of Physical Oceanography.

[17]  Paul A. Hwang Recent Development of Drag Coefficient, Foam, and Surface Roughness for High Wind EM Emission and Scattering Computation , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

[18]  J. Wright,et al.  Backscattering from capillary waves with application to sea clutter , 1966 .

[19]  Bradley W. Klotz,et al.  Improved Stepped Frequency Microwave Radiometer Tropical Cyclone Surface Winds in Heavy Precipitation , 2014 .

[20]  C. Wayne Wright,et al.  Numerical simulations and observations of surface wave fields under an extreme tropical cyclone , 2009 .

[21]  Paul A. Hwang Surface Foam and L-Band Microwave Radiometer Measurements in High Winds , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Paul A. Hwang Fetch- and Duration-Limited Nature of Surface Wave Growth inside Tropical Cyclones: With Applications to Air–Sea Exchange and Remote Sensing* , 2016 .

[23]  T. Barnett,et al.  Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP) , 1973 .

[24]  Stephen J. Katzberg,et al.  Comparison of reflected GPS wind speed retrievals with dropsondes in tropical cyclones , 2009 .

[25]  Paul A. Hwang,et al.  Low-Frequency Mean Square Slopes and Dominant Wave Spectral Properties: Toward Tropical Cyclone Remote Sensing , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Paul A. Hwang,et al.  Wind Sea and Swell Separation of 1D Wave Spectrum by a Spectrum Integration Method , 2012 .

[27]  Paul A. Hwang,et al.  An empirical investigation of source term balance of small scale surface waves , 2004 .

[28]  Thomas Meissner,et al.  Capability of the SMAP Mission to Measure Ocean Surface Winds in Storms , 2017 .

[29]  Paul A. Hwang,et al.  Field measurements of duration-limited growth of wind-generated ocean surface waves at young stage of development , 2004 .

[30]  Wenqing Tang,et al.  Impact of Ocean Wave Height on L-band Passive and Active Microwave Observation of Sea Surfaces , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[31]  Simon Yueh,et al.  Ocean Surface Foam and Microwave Emission: Dependence on Frequency and Incidence Angle , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Jun A. Zhang,et al.  Air-sea exchange in hurricanes : Synthesis of observations from the coupled boundary layer air-sea transfer experiment , 2007 .

[33]  Paul A. Hwang,et al.  Directional Distributions and Mean Square Slopes in the Equilibrium and Saturation Ranges of the Wave Spectrum , 2001 .

[34]  Paul A. Hwang,et al.  Observations of swell influence on ocean surface roughness , 2008 .

[35]  D. E. Hines,et al.  Sea surface mean square slope from K u ‐band backscatter data , 1992 .

[36]  Scott Gleason,et al.  Space-Based GNSS Scatterometry: Ocean Wind Sensing Using an Empirically Calibrated Model , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[37]  C. Cox Statistics of the sea surface derived from sun glitter , 1954 .

[38]  F. Ulaby,et al.  Radar polarimetry for geoscience applications , 1990 .

[39]  Paul A. Hwang,et al.  A Note on the Ocean Surface Roughness Spectrum , 2011 .

[40]  Paul A. Hwang,et al.  Observations of Wind Wave Development in Mixed Seas and Unsteady Wind Forcing , 2011 .

[41]  K. Katsaros,et al.  A Unified Directional Spectrum for Long and Short Wind-Driven Waves , 1997 .

[42]  William J. Plant,et al.  An analysis of the effects of swell and surface roughness spectra on microwave backscatter from the ocean , 2010 .

[43]  Wenqing Tang,et al.  Aquarius Wind Speed Products: Algorithms and Validation , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[44]  Scott Gleason,et al.  Study of Surface Wind and Mean Square Slope Correlation in Hurricane Ike With Multiple Sensors , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[45]  Suleiman O. Alsweiss,et al.  Stepped Frequency Microwave Radiometer Wind-Speed Retrieval Improvements , 2019, Remote. Sens..

[46]  Paul A. Hwang,et al.  Ocean Surface Wave Spectra inside Tropical Cyclones , 2017 .

[47]  I. Young,et al.  Directional spectra of hurricane wind waves , 2006 .

[48]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[49]  Simon Yueh,et al.  Passive and Active L-Band Microwave Observations and Modeling of Ocean Surface Winds , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[50]  Peter G. Black,et al.  Hurricane Directional Wave Spectrum Spatial Variation in the Open Ocean , 2001 .

[51]  O. Phillips Spectral and statistical properties of the equilibrium range in wind-generated gravity waves , 1985, Journal of Fluid Mechanics.

[52]  W. Pierson,et al.  A proposed spectral form for fully developed wind seas based on the similarity theory of S , 1964 .

[53]  J. Wright A new model for sea clutter , 1968 .

[54]  Paul A. Hwang,et al.  Spectral signature of wave breaking in surface wave components of intermediate-length scale , 2007 .

[55]  Thomas Meissner,et al.  Wind-Vector Retrievals Under Rain With Passive Satellite Microwave Radiometers , 2009, IEEE Transactions on Geoscience and Remote Sensing.