scholarly journals Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part I: Wind Speed Profile Model

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 125 ◽  
Author(s):  
Yichao Liu ◽  
Daoyi Chen ◽  
Qian Yi ◽  
Sunwei Li
Keyword(s):  
Wind Speed ◽  
South China Sea ◽  
South China ◽  
Wind Farms ◽  
Wave Spectra ◽  
Speed Profile ◽  
Wind Speed Profile ◽  
Profile Model ◽  
China Sea ◽  
Wind Profiles

scholarly journals Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 127 ◽  
Author(s):  
Yichao Liu ◽  
Sunwei Li ◽  
Qian Yi ◽  
Daoyi Chen
Keyword(s):  
South China Sea ◽  
South China ◽  
Wave Spectrum ◽  
Wind Farms ◽  
Wave Spectra ◽  
China Sea ◽  
Wind Profiles ◽  
Spectrum Model

scholarly journals Atmospheric Response to Oceanic Cold Eddies West of Luzon in the Northern South China Sea

Atmosphere ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 255
Author(s):  
Haoya Liu ◽  
Shumin Chen ◽  
Weibiao Li ◽  
Rong Fang ◽  
Zhuo Li ◽  
...  
Keyword(s):  
Wind Speed ◽  
South China Sea ◽  
South China ◽  
Northern South China Sea ◽  
Surface Wind ◽  
Surface Wind Speed ◽  
Turbulent Heat ◽  
Sst Front ◽  
China Sea ◽  
Sst Anomalies

Using the compositing method, two kinds of sea surface temperature (SST) anomalies associated with mesoscale ocean eddies and their effects on the atmosphere over the northern South China Sea were investigated. We focused on Luzon cold eddies (LCEs), which form during the winter monsoon and occur repeatedly to the west of Luzon Island, where a SST front exists. Using satellite and reanalysis data, 20 LCEs from 2000–2016 were classified into two types according to their impact on the atmosphere. One type consisted of cold SST anomalies within the eddy interior; subsequent turbulent heat flux and surface wind speed decreased over the cold core, presenting a monopole pattern. The second type comprised SST anomalies on either side of the eddy, which mostly propagated along the SST front. For this type of LCEs, cyclonic eddy currents acting on the SST front led to the SST anomalies. They produced a dipole, with surface wind deceleration and acceleration over negative and positive SST anomalies, respectively, on either side of the eddy’s flank. Dynamically, for both types of LCE, a vertical mixing mechanism appeared to be responsible for the wind anomalies. Moreover, anomalous vertical circulations developed over the LCEs that extended over the whole boundary layer and penetrated into the free atmosphere, leading to an anomalous convective rain rate. Quantitatively, the surface wind speed changed linearly with SST; atmospheric anomalies related to LCEs explained 5%–14% of the total daily variance.

Coupling between SST and wind speed over mesoscale eddies in the South China Sea

2016 ◽  
Vol 66 (11) ◽  
pp. 1467-1474 ◽  
Author(s):  
Shuangwen Sun ◽  
Yue Fang ◽  
Baochao Liu ◽  
Tana ᅟ
Keyword(s):  
Wind Speed ◽  
South China Sea ◽  
South China ◽  
Mesoscale Eddies ◽  
The South China Sea ◽  
The South ◽  
China Sea

scholarly journals Startup Speed with Dead Band in Wind Farms with Low-Medium Wind Speed Profile—Case Study of Hong Kong

2017 ◽  
Vol 09 (04) ◽  
pp. 562-572
Author(s):  
Zuliang Yin ◽  
Bo Bai ◽  
Jiani Liu ◽  
Sheng Su
Keyword(s):  
Hong Kong ◽  
Wind Speed ◽  
Wind Farms ◽  
Speed Profile ◽  
Wind Speed Profile ◽  
Dead Band

Ocean Wind Speed Characteristic Over Malaysian Seas From Multi-Mission Satellite Altimeter During Monsoon Periods

2014 ◽  
Vol 71 (4) ◽  
Author(s):  
Wan Aminullah Wan Abdul Aziz ◽  
Kamaludin Mohd Omara ◽  
Omar Yaakobb ◽  
Ami Hassan Md Dina
Keyword(s):  
Wind Speed ◽  
South China Sea ◽  
South China ◽  
Spatial Data ◽  
Offshore Wind ◽  
Altimetry Data ◽  
China Sea ◽  
North East ◽  
Mission Satellite ◽  
South West Monsoon

The need for precise measurement of wind speed and growth of interest in offshore wind power has led to development of many measurements technique. This paper presents a study of wind speed characteristics during monsoon periods (north-east monsoon and south-west monsoon) over Malaysian seas using multi-mission satellite altimetry data from year 1993 to 2011. The study area covers in this study are Malacca Straits, South China Sea, Sulu Sea and Celebes Sea. From the result, the strongest winds are between Novembers to February, but on average, December is the strongest recorded wind speed at most locations. The South China Sea is the roughest region throughout the year compare to the other sea. It was concluded that using altimetry data, we can solve the disadvantage of conventional measurement in terms of spatial data distributions.

scholarly journals Observations of Typhoon Waves in a Reef Lagoon of the South China Sea

2020 ◽  
Vol 50 (1) ◽  
pp. 161-173 ◽  
Author(s):  
Z. W. Cai ◽  
W. W. Chen ◽  
X. L. Liu ◽  
Z. Sun
Keyword(s):  
Wind Speed ◽  
South China Sea ◽  
Wave Height ◽  
South China ◽  
Wind Waves ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Open Sea ◽  
The Waves

AbstractBased on wave measurements lasting three and a half years, typhoon wave characteristics in a lagoon of the South China Sea are discussed in this paper. According to the upper boundaries of wind speed and significant wave height Hs, the maximum wave height has a similar rate of change as the maximum wind speed. The peak frequencies decrease in the approaching stage and are concentrated with an average of 0.1415 Hz in the leaving stage. The distributions of the wind and wave directions indicate that the local wind waves and the waves from the open sea propagated to the site in the approaching and leaving stages, respectively. Wind waves generated inside the lagoon are fetch-trapped, and the spectra can be described by αf(−4) or βk(−2.5) when f > fp. In addition, the measurements show that the nondimensional maximum spectrum can be estimated by the nondimensional fetch. The spectra of the waves from the open sea can be described by . Parameters a and c are determined by the nondimensional peak frequency. In addition, it is found that the peak energy density S(fp) is a linear function of for all waves.

Sign in / Sign up

Export Citation Format

Share Document