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
Link To Document :
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