scholarly journals THE WIND-RESPONSE OF CHIKUGO RIVER ORIGINATED WATER IN ISAHAYA BAY

2011 ◽  
Vol 67 (2) ◽  
pp. 86-91
Author(s):  
Hongyuan LI ◽  
Nobuhiro MATSUNAGA
Keyword(s):  
Isahaya Bay ◽  
Wind Response ◽  
Chikugo River

scholarly journals The Wind Response Analysis of Low Salinity Water Mass in Isahaya Bay

2011 ◽  
Vol 67 (2) ◽  
pp. I_366-I_370 ◽  
Author(s):  
Hongyuan LI ◽  
Ayumu BABA ◽  
Nobuhiro MATSUNAGA ◽  
Satoshi CHIBA
Keyword(s):  
Water Mass ◽  
Response Analysis ◽  
Low Salinity ◽  
Isahaya Bay ◽  
Low Salinity Water ◽  
Wind Response ◽  
Salinity Water

scholarly journals WIND RESPONSE OF HYPOXIC WATER MASS IN ISAHAYA BAY

2010 ◽  
Vol 66 (4) ◽  
pp. 395-406 ◽  
Author(s):  
Nobuhiro MATSUNAGA ◽  
Hongyuan LI
Keyword(s):  
Water Mass ◽  
Isahaya Bay ◽  
Wind Response ◽  
Hypoxic Water

Modeling the Atmospheric Boundary Layer Wind Response to Mesoscale Sea Surface Temperature Perturbations

2014 ◽  
Vol 142 (11) ◽  
pp. 4284-4307 ◽  
Author(s):  
Natalie Perlin ◽  
Simon P. de Szoeke ◽  
Dudley B. Chelton ◽  
Roger M. Samelson ◽  
Eric D. Skyllingstad ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Wind Speed ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Coupling Coefficient ◽  
Eddy Viscosity ◽  
Sea Surface ◽  
Coupling Coefficients ◽  
Wind Response ◽  
Speed Response

Abstract The wind speed response to mesoscale SST variability is investigated over the Agulhas Return Current region of the Southern Ocean using the Weather Research and Forecasting (WRF) Model and the U.S. Navy Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS) atmospheric model. The SST-induced wind response is assessed from eight simulations with different subgrid-scale vertical mixing parameterizations, validated using Quick Scatterometer (QuikSCAT) winds and satellite-based sea surface temperature (SST) observations on 0.25° grids. The satellite data produce a coupling coefficient of sU = 0.42 m s−1 °C−1 for wind to mesoscale SST perturbations. The eight model configurations produce coupling coefficients varying from 0.31 to 0.56 m s−1 °C−1. Most closely matching QuikSCAT are a WRF simulation with the Grenier–Bretherton–McCaa (GBM) boundary layer mixing scheme (sU = 0.40 m s−1 °C−1), and a COAMPS simulation with a form of Mellor–Yamada parameterization (sU = 0.38 m s−1 °C−1). Model rankings based on coupling coefficients for wind stress, or for curl and divergence of vector winds and wind stress, are similar to that based on sU. In all simulations, the atmospheric potential temperature response to local SST variations decreases gradually with height throughout the boundary layer (0–1.5 km). In contrast, the wind speed response to local SST perturbations decreases rapidly with height to near zero at 150–300 m. The simulated wind speed coupling coefficient is found to correlate well with the height-averaged turbulent eddy viscosity coefficient. The details of the vertical structure of the eddy viscosity depend on both the absolute magnitude of local SST perturbations, and the orientation of the surface wind to the SST gradient.

Otolith Sr Concentration Analyzed by PIXE in Ariake Estuary-Dependent Sea Bass Juveniles

1997 ◽  
Vol 07 (03n04) ◽  
pp. 147-151 ◽  
Author(s):  
TARO OHTA ◽  
NOBUAKI ARAI ◽  
MASARU TANAKA ◽  
KOJI YOSHIDA
Keyword(s):  
Early Life ◽  
Sea Bass ◽  
Life Stages ◽  
Early Life Stages ◽  
Lateolabrax Japonicus ◽  
X Ray ◽  
Chikugo River ◽  
Freshwater Environments ◽  
Japanese Sea Bass ◽  
Ambient Salinity

Japanese sea bass (Lateolabrax japonicus) is a typical euryhaline marine fish and frequently migrates from salt to freshwater environments during early life stages. We hypothesized that strontium concentrations in the otolith could be a useful index to examine freshwater entry because of its lower concentration in freshwater. Otoliths of Japanese sea bass juveniles collected in the Chikugo river and estuary were analyzed by Particle Induced X-ray Emission (PIXE) to see relationship between strontium concentration and ambient salinity. Strontium concentrations in otoliths of sea bass juveniles are significantly lower in the river samples than in brackish water samples.

Lift or Across-Wind Response of Tapered Stacks

1972 ◽  
Vol 98 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Barry J. Vickery ◽  
Arthur W. Clark
Keyword(s):  
Wind Response
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