TY - JOUR
T1 - Precipitation effect on surface salinity and temperature in the Yatsushiro Sea
AU - Zhou, C. L.
AU - Tada, A.
AU - Yano, S.
AU - Matsuyama, A.
AU - Chen, C. P.
N1 - Funding Information:
Changlu Zhou was financially supported by the China Scholarship Council 201608050022.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/11/5
Y1 - 2018/11/5
N2 - Field observation was carried out during July 2016 in Minamata Bay of Yatsushiro Sea, measured data of temperature and salinity of five stations has been used for comparing the numerical simulation based on Princeton Ocean Model (POM). Simulation results showed deviations existed between simulated and measured data, especially the salinity field, which was probably caused by the increased precipitation during plum rain season. Therefore, a new precipitation module and modified heat flux forcing for POM were built to present the rainfall effect of salinity and temperature. It is indicated that the accuracy of predicted temperature and salinity was improved to some extent. In contrast with the previous simulation, deviations were reduced significantly. Nevertheless, simulation results of new model under rainy and sunny conditions showed the cooling impact of precipitation was slight, which may be caused by the daytime observation and solar radiation was dominated. However, this study has shown that precipitation effect is an important factor for surface numerical simulation during rainy season.
AB - Field observation was carried out during July 2016 in Minamata Bay of Yatsushiro Sea, measured data of temperature and salinity of five stations has been used for comparing the numerical simulation based on Princeton Ocean Model (POM). Simulation results showed deviations existed between simulated and measured data, especially the salinity field, which was probably caused by the increased precipitation during plum rain season. Therefore, a new precipitation module and modified heat flux forcing for POM were built to present the rainfall effect of salinity and temperature. It is indicated that the accuracy of predicted temperature and salinity was improved to some extent. In contrast with the previous simulation, deviations were reduced significantly. Nevertheless, simulation results of new model under rainy and sunny conditions showed the cooling impact of precipitation was slight, which may be caused by the daytime observation and solar radiation was dominated. However, this study has shown that precipitation effect is an important factor for surface numerical simulation during rainy season.
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U2 - 10.1088/1755-1315/191/1/012111
DO - 10.1088/1755-1315/191/1/012111
M3 - Conference article
AN - SCOPUS:85058121425
VL - 191
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
SN - 1755-1307
IS - 1
M1 - 012111
T2 - 4th International Conference on Water Resource and Environment, WRE 2018
Y2 - 17 July 2018 through 21 July 2018
ER -