• DocumentCode
    1485675
  • Title

    Estimation of Global Wind Energy Input to the Surface Waves Based on the Scatterometer

  • Author

    Guoqiang Liu ; Yijun He ; Yuanzhi Zhang ; Hui Shen

  • Author_Institution
    Key Lab. of Ocean Circulation & Waves, Inst. of Oceanol., Qingdao, China
  • Volume
    9
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1017
  • Lastpage
    1020
  • Abstract
    Mechanical energy input into the ocean from the atmosphere is primarily produced via the ocean surface waves. First, the total wind generation surface wave energy is estimated as nearly 80 TW (1 TM = 1012 W), based on an empirical formulation and the wave age (β) retrieved from the Earth Remote Sensing-1/2 satellite scatterometer observations. Second, the distribution of the wind-generated surface wave energy density shows that the main input occurs in the westerlies in the Southern Hemisphere and could reach up to 3.58 W/m2 with an average value of 0.24 W/m2 in the global ocean during a seven-day period. Third, we find that the downward energy flux rate from wind to surface waves can reach around 24% in the Southern Ocean and storm tracks in the northwest Pacific and Atlantic Oceans where the wind waves dominate, but a low downward rate of around 7% in tropical oceans with an average of 11% over the global oceans is observed.
  • Keywords
    ocean waves; oceanographic regions; storms; wind; Atlantic Ocean; Earth Remote Sensing-1 satellite scatterometer observation; Earth Remote Sensing-2 satellite scatterometer observation; Southern Hemisphere; Southern Ocean; downward energy flux rate; empirical formulation; global oceans; global wind energy input; mechanical energy input; northwest Pacific Ocean; ocean surface waves; scatterometer; storm tracks; total wind generation surface wave energy; tropical oceans; wave age; wind waves; wind-generated surface wave energy density; Atmospheric waves; Radar measurements; Sea surface; Surface waves; Wind energy; Wind speed; Scatterometer; sea state remote sensing; surface wave energy;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2189194
  • Filename
    6178770