Contribution of tropical cyclones to abnormal sea surface temperature warming in the Yellow Sea in December 2004

2017 ◽  
Vol 80 ◽  
pp. 97-109 ◽  
Author(s):  
Taekyun Kim ◽  
Sung-Ho Choo ◽  
Jae-Hong Moon ◽  
Pil-Hun Chang
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Tropical Cyclones ◽  
Yellow Sea ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Surface Temperature Warming

scholarly journals Influence of Sea Surface Temperature on a Mesoscale Convective System producing Extreme Rainfall over the Yellow Sea

2021 ◽  
Author(s):  
Yunhee Kang ◽  
Jong-Hoon Jeong ◽  
Dong-In Lee
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Yellow Sea ◽  
Extreme Rainfall ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Convective System ◽  
Mesoscale Convective ◽  
Upper Level ◽  
Convective Cells

AbstractAn extreme rainfall-producing linear mesoscale convective systems (MCSs) occurred over the Yellow Sea, Korea, on 13 August 2012, producing 430 mm of rainfall in less than 12 h, causing devastating flash floods and landslides. To understand the causative processes underlying this event, we examined the linear MCSs formation and development mechanisms using observations and cloud-resolving models. The organized linear MCSs produced extreme rainfall at Gunsan in a favorable large-scale environment. The synoptic environment showed the stationary surface front elongating from China to Korea; a southwesterly low-level jet transported the warm, moist air from low latitudes towards the front. In the upper-level synoptic environment, the trough and entrance regions of the upper-level jet were north of the heavy rainfall, promoting the development of convection. The extreme rainfall over the Gunsan area resulted from the back-building mode of the MCSs, in which new convective cells continued to pass over the same area while the entire convective system was nearly stationary. The sea surface temperature (SST) during the extreme rainfall events was abnormally 1°C higher than the 30-year climatological mean, and a local warm pool (>28.5°C) existed where the convective cells were continuously initiated. Cloud-resolving models simulated the low-level convergence, and the latent heat flux was large in the local warm SST field. These induced MCSs formation and development, contributing to a significant rainfall increase over the Yellow Sea. The terrain’s influence on the large rainfall amount in the area was also noted.

High resolution unsaturated alkenones sea surface temperature records in the Yellow Sea during the period of 3500–1300 cal. yr BP

2017 ◽  
Vol 441 ◽  
pp. 107-116 ◽  
Author(s):  
Qingyun Nan ◽  
Tiegang Li ◽  
Jinxia Chen ◽  
Xuefa Shi ◽  
Xinke Yu ◽  
...  
Keyword(s):  
High Resolution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Yellow Sea ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Temperature Records

scholarly journals Seasonal to interannualvariability of Chlorophyll-<i>a</i> and sea surface temperature in the Yellow Sea using MODIS satellite datasets

2017 ◽  
Author(s):  
Chunli Liu ◽  
Qiwei Sun ◽  
Sufen Wang ◽  
Qianguo Xing ◽  
Lixin Zhu ◽  
...  
Keyword(s):  
Power Spectrum ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Empirical Orthogonal Function ◽  
Yellow Sea ◽  
Seasonal Cycle ◽  
Sea Surface ◽  
Wavelet Coherence ◽  
The Yellow Sea ◽  
Orthogonal Function

Abstract. The spatial and temporal variability of Chlorophyll-a concentration (CHL) and sea surface temperature (SST) in the Yellow Sea (YS) were examined using Empirical Orthogonal Function (EOF) analysis, which was based on the monthly, cloud-free Data INterpolating Empirical Orthogonal Function (DINEOF) reconstruction datasets for 2003–2015. The variability and oscillation periods on an inter-annual timescale were also confirmed using the Morlet wavelet transform and wavelet coherence analyses. At a seasonal time scale, the CHL EOF1 mode was dominated by a seasonal cycle of a spring and a fall bloom, with a spatial distribution that was modified by the strong mixing of the water column of the Yellow Sea Cold Warm Mass (YSCWM) that facilitated nutrient delivery from the ocean bottom. The EOF2 mode was likely associated with a winter bloom in the southern region, where it was affected by the Yellow Sea Warm Current (YSWC) that moved from southeast to north in winter. The SST EOF1 explained 99 % of the variance in total variabilities, which was dominated by an obvious seasonal cycle (in response to net surface heat flux) that was inversely proportional to the water depth. At the inter-annual scale, the wavelet power spectrum and global power spectrum of CHL and SST showed significant similar periods of variations. The dominant periods for both spectra were 2–4 years during 2003–2015. A significant negative cross-correlation existed between CHL and SST, with the largest correlation coefficient at time lags of 4 months. The wavelet coherence further identified a negative relationship that was significant statistically between CHL and SST during 2008–2015, with periods of 1.5–3 years. These results provided insight into how CHL might vary with SST in the future.

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