Measurement of cavitation bubble cluster downstream of sheet cavity

1. 北冰洋气象数据来自ECMWF和日本气象厅。卫星遥感测量的海冰分布数据是从NSIDC获得的。这些数据是安装在美国DMSP卫星上的SSM/I传感器。 2．由于海流数据非常有限，我们考虑使用数值模拟技术，使用旋转水箱进行了基础实验，并在相同条件下进行了数值模拟。实验水流显示出与北冰洋表面水流观测到的相同模式，表明西伯利亚和阿拉斯加海岸河流径流的影响是显着的。使用多层模型的数值模拟也显示出相同的模式，表明该计算机程序可以用于预测北冰洋海流。 3．所有收集到的数据都被转换成 ArcView GIS 数据库格式。正因为如此，查看和分析数据变得很容易。4．本研究开发的地理信息系统数据库系统用于分析北冰洋的海冰。虽然整个冰场的变化主要是由风和气温引起的，但有些区域表现出非常复杂的海冰运动。这样就可以提取各个海域的海冰变化特征。5．开发了多个接口程序来连接 GIS 和海冰变化预测程序。结果，开发了数据、GIS 和预测计算的集成系统。使用该系统，我们执行了海冰变化预测计算，证实了该系统的有效性。

1. Meteorological data on the Arctic Ocean were obtained from ECMWF and Japan Meteorological Agency. Sea ice distribution data measured by satellite remote sensing were obtained from NSIDC.These data are of SSM/I sensor, which is installed on the US DMSP satellite.2. Since sea current data is very limited, we performed fundamental experiments using a rotating tank and also numerical simulation with the same condition, considering to use numerical simulation technique. The experimental current showed the same pattern as the observed surface current in the Arctic Ocean, suggesting that the effect of river run-off along the Siberian and Alaska coasts is significant. The numerical simulation using multi-layer model also showed the same pattern, suggesting that this computer program can be applied to predict the Arctic Ocean current.3. All of the collected data were transferred into ArcView GIS database format. Because of this, it has become easy to view and analyze the data.4. The GIS-database system developed in this research was used to analyze the sea ice in the Arctic Ocean. Although the whole ice field changed mainly due to wind and air temperature, some areas showed very complicated sea ice motion. As such, the characteristics of sea ice change can be extracted for each sea area.5. Several interface programs were developed to connect the GIS and sea ice change prediction programs. As a result, an integrated system of data, GIS and prediction computations was developed. Using this system, we executed sea ice change prediction computations, confirming the effectiveness of this system.