Sea surface cooling in the Northern South China Sea observed using Chinese sea-wing underwater glider measurements

2015 ◽  
Vol 105 ◽  
pp. 111-118 ◽  
Author(s):  
Chunhua Qiu ◽  
Huabin Mao ◽  
Jiancheng Yu ◽  
Qiang Xie ◽  
Jiaxue Wu ◽  
...  
2021 ◽  
Vol 40 (11) ◽  
pp. 70-78
Author(s):  
Juan Ouyang ◽  
Chunhua Qiu ◽  
Zhenhui Yi ◽  
Dongxiao Wang ◽  
Danyi Su ◽  
...  

2020 ◽  
Author(s):  
Han Zhang

<p>Tropical cyclones (TCs) are natural disasters for coastal regions. TCs with maximum wind speeds higher than 32.7 m/s in the north-western Pacific are referred to as typhoons. Typhoons Sarika and Haima successively passed our moored observation array in the northern South China Sea in 2016. Based on the satellite data, the winds (clouds and rainfall) biased to the right (left) sides of the typhoon tracks. Sarika and Haima cooled the sea surface ~4 and ~2 °C and increased the salinity ~1.2 and ~0.6 psu, respectively. The maximum sea surface cooling occurred nearly one day after the two typhoons. Station 2 (S2) was on left side of Sarika’s track and right side of Haima’s track, which is studied because its data was complete. Strong near-inertial currents from the ocean surface toward the bottom were generated at S2, with a maximum mixed-layer speed of ~80 cm/s. The current spectrum also shows weak signal at twice the inertial frequency (2f). Sarika deepened the mixed layer, cooled the sea surface, but warmed the subsurface by ~1 °C. Haima subsequently pushed the subsurface warming anomaly into deeper ocean, causing a temperature increase of ~1.8 °C therein. Sarika and Haima successively increased the heat content anomaly upper than 160 m at S2 to ~50 and ~100 m°C, respectively. Model simulation of the two typhoons shows that mixing and horizontal advection caused surface ocean cooling, mixing and downwelling caused subsurface warming, while downwelling warmed the deeper ocean. It indicates that Sarika and Haima sequentially modulated warm water into deeper ocean and influenced internal ocean heat budget. Upper ocean salinity response was similar to temperature, except that rainfall refreshed sea surface and caused a successive salinity decrease of ~0.03 and ~0.1 psu during the two typhoons, changing  the positive subsurface salinity anomaly to negative.</p>


Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 653
Author(s):  
Jianmin Yu ◽  
Sheng Lin ◽  
Yue Jiang ◽  
Yuntao Wang

The interactions between mesoscale eddies and typhoons are important for understanding the oceanic environment, but large variance is identified in each case because of the complex underlying dynamics. Fifteen-year datasets of typhoon tracks and eddy tracks in the South China Sea (SCS) are employed to comprehensively determine the influence of preexisting eddies on typhoon-induced sea surface cooling (SSC). Typhoons with high wind speeds and slow translation speeds induce large SSC in summer and autumn, when more than 80% of typhoons occur during a year. The relative locations of typhoons and eddies are used to classify their distributions, and four groups are identified, with typhoons traversing to the left or right of cyclonic or anticyclonic eddies. Generally, cyclonic eddies (CEs) located to the right of a typhoon track can result in a large cooling core, but anticyclonic eddies (AEs) can interrupt the cooling band along the right side of typhoon tracks. The recovery from typhoon-induced SSC takes longer than 15 days, though preexisting AEs can induce a rapid rebound after reaching the minimum sea surface temperature (SST). In addition, the dependence of SSCs on a typhoon’s features, such as wind speed and translation speed, are amplified (reduced) by CEs (AEs). The enhancement of typhoon-induced local SSC by CEs is counterbalanced by the suppression of SSC by AEs; thus, the overall impacts of CEs and AEs on typhoon-induced local SSC are relatively weak in the SCS.


2007 ◽  
Vol 22 (3) ◽  
pp. n/a-n/a ◽  
Author(s):  
Gangjian Wei ◽  
Wenfeng Deng ◽  
Kefu Yu ◽  
Xian-hua Li ◽  
Weidong Sun ◽  
...  

2016 ◽  
Vol 121 (8) ◽  
pp. 6323-6330 ◽  
Author(s):  
Yangrui Guo ◽  
Wenfeng Deng ◽  
Xuefei Chen ◽  
Gangjian Wei ◽  
Kefu Yu ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 432
Author(s):  
Kenny T.C. Lim Kam Sian ◽  
Changming Dong ◽  
Hailong Liu ◽  
Renhao Wu ◽  
Han Zhang

Typhoon Kalmaegi (2014) in the South China Sea (SCS) is simulated using a fully coupled atmosphere–ocean–wave model (COAWST). A set of sensitivity experiments are conducted to investigate the effects of different model coupling combinations on the typhoon simulation. Model results are validated by employing in-situ data at four locations in the SCS, and best-track and satellite data. Correlation and root-mean-square difference are used to assess the simulation quality. A skill score system is defined from these two statistical criteria to evaluate the performance of model experiments relative to a baseline. Atmosphere–ocean feedback is crucial for accurate simulations. Our baseline experiment successfully reconstructs the atmospheric and oceanic conditions during Typhoon Kalmaegi. Typhoon-induced sea surface cooling that weakens the system due to less heat and moisture availability is captured best in a Regional Ocean Modeling System (ROMS)-coupled run. The Simulated Wave Nearshore (SWAN)-coupled run has demonstrated the ability to estimate sea surface roughness better. Intense winds lead to a larger surface roughness where more heat and momentum are exchanged, while the rougher surface causes more friction, slowing down surface winds. From our experiments, we show that these intricate interactions require a fully coupled Weather Research and Forecasting (WRF)–ROMS–SWAN model to best reproduce the environment during a typhoon.


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