Numerical Simulation Of Sea Ice Thickness Of Antarctic

Polar sea ice is an important part of the cold source which causes global climatechange. The impact of changes in the polar sea ice to climate is topics at the forefront intoday’s world climate research. The study of Antarctic sea ice thickness mainly based onthe measured data obtained through field observations, and then establish themathematical model, using the model to predict the variation of sea ice thickness andextinction, ultimately achieve the expected effect. But, field observations need toconsume a lot of manpower, material and financial resources. This paper take the localatmospheric temperature as the upper boundary conditions to simulate the growth of theAntarctic sea ice thickness, avoiding a number of difficulties which are from fieldobservations.The main findings of the present study are summarized as follows:1Basing on the observation data of the22nd CHINARE(2006) and ice coreanalysis data collected at the scene and considered solar radiation, cloud cover and otherfactors on the Antarctic sea ice thickness changes. Taking the measured air temperature,solar radiation, cloud amount and other weather data from0:00on April1,2006to24:00June30of the Nella Bay of Zhongshan Station in Antarctica, and the ice core analysisdata collected at the scene as the raw data of the numerical Simulation of sea icethickness. We take the local atmospheric temperature as the upper boundary conditions,the heat transfer coefficient is by22nd CHINARE(2006) field observation dataidentification obtained. We study the numerical simulation of sea ice thickness in NellaBay of Zhongshan Station in Antarctica, and compare simulative ice thickness andmeasured ice thickness.2With international traditional heat transfer coefficient，using the same method tostudy the numerical simulation of sea ice thickness in Nella Bay of Zhongshan Stationin Antarctica, and compares the results and previous results and measured ice thickness.The findings indicate that the results closer to the measured sea ice thickness, the error is smaller when we take the heat transfer coefficient which is by22nd CHINARE(2006)field observation data identification obtained.