Simulation of Vertical Water Temperature Structure Variation in the Yellow Sea Typhoon MEARI

2018 ◽  
Vol 85 ◽  
pp. 1016-1020
Author(s):  
Yeong-Yeon Kwon ◽  
Jin-Yong Jeong ◽  
Jin-Yong Choi ◽  
Jae-Seol Shim ◽  
Sang-Kwon Hyun ◽  
...  
Keyword(s):  
Water Temperature ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
Temperature Structure ◽  
Structure Variation ◽  
Typhoon Meari

TEX 86 paleothermometer as an indication of bottom water temperature in the Yellow Sea

2015 ◽  
Vol 86 ◽  
pp. 19-31 ◽  
Author(s):  
Lei Xing ◽  
Julian P. Sachs ◽  
Wenxian Gao ◽  
Shuqing Tao ◽  
Xiaochen Zhao ◽  
...  
Keyword(s):  
Water Temperature ◽  
Yellow Sea ◽  
Bottom Water ◽  
The Yellow Sea ◽  
Bottom Water Temperature

scholarly journals Vertical Distribution of Phytoplankton Community and Pigment Production in the Yellow Sea and the East China Sea during the Late Summer Season

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3321
Author(s):  
Jae-Joong Kang ◽  
Jun-Oh Min ◽  
Yejin Kim ◽  
Chang-Hwa Lee ◽  
Hyeju Yoo ◽  
...  
Keyword(s):  
Climate Change ◽  
Vertical Distribution ◽  
Water Temperature ◽  
East China Sea ◽  
Yellow Sea ◽  
Phytoplankton Community ◽  
Late Summer ◽  
Summer Season ◽  
Pigment Production ◽  
The Yellow Sea

Phytoplankton community structure, which plays an important role in determining productivity and food web structure, can provide important information for understanding variations in marine ecosystems under projected climate change scenarios. Rising temperatures due to climate change will increase and intensify water stratification. To understand the community composition and distribution characteristics of phytoplankton under stratified conditions, phytoplankton pigments were analyzed in the Yellow Sea (YS) and East China Sea (ECS) during the late summer season. In addition, pigment production was measured to estimate the physiological characteristics of phytoplankton relating to light, which is an essential element of photosynthesis. During our observation period, no distinct differences were found in the community composition and pigment production of phytoplankton in the YS and the ECS, but differences in the vertical distribution were observed. Overall, the dominant phytoplankton classes at the surface depth were pico-sized cyanobacteria (46.1%), whereas micro- and nano-sized diatoms (42.9%) were the abundant most classes at a 1% light depth. The major factors controlling the vertical distributions of the phytoplankton community were temperature and nutrients (i.e., nitrate and ammonium). Cyanobacteria were positively correlated with water temperature and ammonium, whereas diatoms were negatively related to water temperature and positively correlated with nitrates. Based on the pigment production, it was found that cyanobacteria at the surface layer encountered excessive irradiance conditions during the study period. The productivity of the cyanobacterial community could be decreased under high-light and high-temperature conditions. This means that cyanobacteria could have a negative influence on the quantity and quality of food available to upper trophic organisms under warmer conditions.

scholarly journals Sensitivity of Simulated Water Temperature to Vertical Mixing Scheme and Water Turbidity in the Yellow Sea

The Sea ◽  
2013 ◽  
Vol 18 (3) ◽  
pp. 111-121
Author(s):  
Myeong-Taek Kwak ◽  
Gwang-Ho Seo ◽  
Byoung-Ju Choi ◽  
Chang-Sin Kim ◽  
Yang-Ki Cho
Keyword(s):  
Water Temperature ◽  
Yellow Sea ◽  
Vertical Mixing ◽  
The Yellow Sea ◽  
Water Turbidity

scholarly journals Assimilating MTSAT-Derived Humidity in Nowcasting Sea Fog over the Yellow Sea

2014 ◽  
Vol 29 (2) ◽  
pp. 205-225 ◽  
Author(s):  
Yongming Wang ◽  
Shanhong Gao ◽  
Gang Fu ◽  
Jilin Sun ◽  
Suping Zhang
Keyword(s):  
Yellow Sea ◽  
Marine Boundary Layer ◽  
Three Dimensional ◽  
Horizontal Distribution ◽  
Probability Of Detection ◽  
The Yellow Sea ◽  
Temperature Structure ◽  
Structure Information ◽  
Sea Fog ◽  
Realistic Representation

Abstract An extended three-dimensional variational data assimilation (3DVAR) method based on the Weather Research and Forecasting Model (WRF) is developed to assimilate satellite-derived humidity from sea fog at its initial stage over the Yellow Sea. The sea fog properties, including its horizontal distribution and thickness, are retrieved empirically from the infrared and visible cloud imageries of the Multifunctional Transport Satellite (MTSAT). Assuming a relative humidity of 100% in fog, the MTSAT-derived humidity is assimilated by the extended 3DVAR assimilation method. Two sea fog cases, one spread widely over the Yellow Sea and the other spread narrowly along the coast, are first studied in detail with a suite of experiments. For the widespread-fog case, the assimilation of MTSAT-derived information significantly improves the forecast of the sea fog area, increasing the probability of detection and equitable threat scores by about 20% and 15%, respectively. The improvement is attributed to a more realistic representation of the marine boundary layer (MBL) and better descriptions of moisture and temperature profiles. For the narrowly spread coastal case, the model completely fails to reproduce the sea fog event without the assimilation of MTSAT-derived humidity. The extended 3DVAR assimilation method is then applied to 10 more sea fog cases to further evaluate its effect on the model simulations. The results reveal that the assimilation of MTSAT-derived humidity not only improves sea fog forecasts but also provides better moisture and temperature structure information in the MBL.

Prey Abundance Regulating the Response of an Important Marine Eel Species Conger Myriaster Growth to Water Temperature

2021 ◽  
Author(s):  
Xiuxia Mu ◽  
Chongliang Zhang ◽  
Binduo Xu ◽  
Yupeng Ji ◽  
Ying Xue ◽  
...  
Keyword(s):  
Water Temperature ◽  
Growth Pattern ◽  
Yellow Sea ◽  
Environmental Variables ◽  
Prey Availability ◽  
The Yellow Sea ◽  
Biotic Factors ◽  
Conger Myriaster ◽  
Growth Variation ◽  
Abiotic And Biotic Factors

Abstract Whitespotted conger (Conger myriaster) is a commercially important species in East Asia but the fisheries stock has drastically declined in recent years. Environmental changes are assumed to have profound impacts on the growth pattern of this species, yet the mechanisms that regulate growth remain poorly understood. Here we used otolith measurements to establish growth chronologies of 9-year period (2010–2018) for whitespotted conger in the Yellow Sea and evaluated the effects of environmental variables on the growth pattern. Linear mixed-effects models were used to explain growth variation with abiotic and biotic environmental variables, including seasonal water temperature, prey availability, and population density, and to assess age-dependent responses in growth and the interactions between abiotic and biotic factors. The results indicated that the growth of whitespotted conger positively correlated with spring sea bottom temperature (March-May) and prey per capita, and the influence of prey availability became larger with increasing ages. The model detected significant negative interactions between sea temperature and prey availability, indicating a higher degree of temperature-dependent growth when prey availability was low. Our findings imply that the growth of whitespotted conger is less likely to be influenced by food availability when the spring water temperature is high in the Yellow Sea, and a combination of cold spring and low food availability may result in substantial constrained growth. This study provided the first evidence for the joint effects of abiotic and biotic factors on the growth variation of whitespotted conger, and the information may contribute to sustainable management policies.

scholarly journals Spatial Distribution of Sound Scattering Layer and Density Estimation of Euphausia pacifica in the Center of the Yellow Sea Bottom Cold Water Determined by Hydroacoustic Surveying

2022 ◽  
Vol 10 (1) ◽  
pp. 56
Author(s):  
Hansoo Kim ◽  
Garam Kim ◽  
Mira Kim ◽  
Donhyug Kang
Keyword(s):  
Spatial Distribution ◽  
Water Temperature ◽  
Yellow Sea ◽  
Cold Water ◽  
Marine Ecosystem ◽  
The Yellow Sea ◽  
Scattering Layer ◽  
Sea Bottom ◽  
Sound Scattering Layer ◽  
Bottom Cold Water

The Yellow Sea Bottom Cold Water (YSBCW) refers to seawater with a water temperature of 10 °C or less found at the bottom of the center of the Yellow Sea. The spatiotemporal variability of the YSBCW directly affects the distribution of organisms in the marine ecosystem. In this study, hydroacoustic and net surveys were conducted in April (spring) to understand the spatial distribution of the sound scattering layer (SSL) and estimate the density of Euphausia pacifica (E. pacifica) in the YSBCW. Despite the shallow water in the YSBCW region, E. pacifica formed an SSL, which was distributed near the bottom during the daytime; it showed a diel vertical migration (DVM) pattern of movement toward the surface during the nighttime. The mean upward and downward swimming speeds around sunset and sunrise were approximately 0.6 and 0.3–0.4 m/min, respectively. The E. pacifica density was estimated in the central, western, and eastern regions; the results were approximately 15.8, 1.3, and 10.3 g/m2, respectively, indicating significant differences according to region. The results revealed high-density distributions in the central and eastern regions related to the water temperature structure, which differs regionally in the YSBCW area. Additional studies are needed regarding the spatial distribution of E. pacifica in the YSBCW and its relationship with various ocean environmental parameters according to season. The results of this study contribute to a greater understanding of the structure of the marine ecosystem in the YSBCW.

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