scholarly journals Assessment of sea surface wind field pattern over the Caspian Sea using EOF analysis

2020 ◽  
Vol 35 ◽  
pp. 101254
Author(s):  
Hossein Farjami ◽  
Akbar Rashidi Ebrahim Hesari
2014 ◽  
Vol 13 (2) ◽  
pp. 198-204 ◽  
Author(s):  
Weizeng Shao ◽  
Jian Sun ◽  
Changlong Guan ◽  
Zhanfeng Sun

2014 ◽  
Vol 675-677 ◽  
pp. 1201-1206
Author(s):  
Yan Zhou ◽  
Bin Zhou ◽  
Ying Ying Gai

Multi-temporal Moderate resolution Imaging Spectroradiometer (MODIS) remote sensing images were used to monitor the massive blooms of floating green tide algae Ulva prolifera in the midwest of Yellow Sea (YS). In addition, from the marine environment elements of sea surface temperature (SST) and sea surface wind field, the growth and drift characteristic of U. Prolifera were studied based on MODIS thermal infrared channel SST data and Windsat wind field data. In May 2014, U. Prolifera accumulation areas were first found in central YS north of Subei Bank. With summer arrival, seawater temperature of ocean surface gradually increased in YS, It provided a more suitable environment for the growth of U. Prolifera. Due to the prevailing northerly winds in central and western YS, U. Prolifera advected to the coastal waters of Shandong Peninsula, and spread to the northeastward. In late June, it had a massive bloom and reached the maximum coverage in the northern YS. The U. Prolifera drift characteristic was confirmed by the analysis on SST and sea surface wind field, and the result shows that under the environment of suitable sea surface temperature, the driving force of the prevailing sea surface wind field might be the main reason of YS U. Prolifera bloom occurrence.


2021 ◽  
Author(s):  
Hang Li ◽  
WenKang Liu ◽  
GuangCai Sun ◽  
MengDao Xing ◽  
ZhenHua Zhang ◽  
...  

2012 ◽  
Vol 542-543 ◽  
pp. 1366-1370
Author(s):  
Xi Shan Pan ◽  
Rui Jie Li ◽  
Yang Li ◽  
Chun Hui Li ◽  
Wei Yi Zhang

Sea surface wind field is a basic parameter of marine dynamic process, Catastrophic Sea-state such as marine tropical storm and storm surge are all driven by marine wind, wave monitoring and prediction also need sea surface wind field. By combining the new generation of weather research and prediction model (WRF) and the third generation wave model (WAVEWATCHⅢ), establish an Atmospheric-Wave numerical prediction system. Developing sea surface wind field numerical forecast in East China Sea, it makes up the shortage of wind field data’s absence. By using the numerical prediction results, the wave model will provide accurate and reliable wave forecast products for Chinese shipping, ocean activities and military affairs.


2019 ◽  
Vol 11 (17) ◽  
pp. 2026 ◽  
Author(s):  
Atsushi Fujimura ◽  
Susanne Lehner ◽  
Alexander Soloviev ◽  
Xiaofeng Li

Changes in the sea surface roughness are usually associated with a change in the sea surface wind field [...]


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