The Global Wind Resource Observed by Scatterometer

被引:17
作者
Young, Ian R. [1 ]
Kirezci, Ebru [1 ]
Ribal, Agustinus [1 ,2 ]
机构
[1] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
[2] Hasanuddin Univ, Dept Math, Fac Math & Nat Sci, Makassar 90245, Indonesia
关键词
wind speed; extreme value analysis; scatterometer; OCEAN WIND; CROSS-VALIDATION; MODEL FUNCTION; QUIKSCAT; SPEED; CLIMATE; CALIBRATION; ALTIMETER; EXTREMES; TRENDS;
D O I
10.3390/rs12182920
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year return period wind speeds. The analysis clearly shows the seasonal variability of wind speeds and the differing response of the two hemispheres. The maximum wind speeds in each hemisphere are comparable but there is a much larger seasonal cycle in the northern hemisphere. As a result, the southern hemisphere has a more consistent year-round wind climate. Hence, coastal regions of southern Africa, southern Australia, New Zealand and southern South America appear particularly suited to coastal and offshore wind energy projects. The extreme value analysis shows that the highest extreme wind speeds occur in the North Atlantic Ocean with extreme wind regions concentrated along the western boundaries of the North Atlantic and North Pacific Oceans and the Indian Ocean sector of the Southern Ocean. The signature of tropical cyclones is clearly observed in each of the well-known tropical cyclone basins.
引用
收藏
页数:18
相关论文
共 65 条
[1]   Comparison of 10-m wind forecasts from a regional area model and QuikSCAT Scatterometer wind observations over the Mediterranean Sea [J].
Accadia, Christophe ;
Zecchetto, Stefano ;
Lavagnini, Alfredo ;
Speranza, Antonio .
MONTHLY WEATHER REVIEW, 2007, 135 (05) :1945-1960
[2]   On estimating extreme wave heights using combined Geosat, Topex/Poseidon and ERS-1 altimeter data [J].
Alves, JHGM ;
Young, IR .
APPLIED OCEAN RESEARCH, 2003, 25 (04) :167-186
[3]  
Anderson C.W., 2001, SHELL INT REP, V1, P88
[4]  
[Anonymous], 1959, TURBULENT TRANSFER L
[5]   Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT [J].
Belmonte Rivas, Maria ;
Stoffelen, Ad .
OCEAN SCIENCE, 2019, 15 (03) :831-852
[6]   A Comparison of Methods for Determining Significant Wave Heights-Applied to a 3-m Discus Buoy during Hurricane Katrina [J].
Bender, L. C., III ;
Guinasso, N. L., Jr. ;
Walpert, J. N. ;
Howden, S. D. .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2010, 27 (06) :1012-1028
[7]   Scatterometer wind fields: A new release over the decade 1991-2001 [J].
Bentamy, A ;
Quilfen, Y ;
Flament, P .
CANADIAN JOURNAL OF REMOTE SENSING, 2002, 28 (03) :431-449
[8]  
Bentamy A., 2008, OCEAN SCI, V5, P77
[9]   100-year return value estimates for ocean wind speed and significant wave height from the ERA-40 data [J].
Caires, S ;
Sterl, A .
JOURNAL OF CLIMATE, 2005, 18 (07) :1032-1048
[10]  
Castillo Enrique., 1988, EXTREME VALUE THEORY