摘要
随着人们对海洋研究的不断深入,许多学者为模拟出与真实海洋相似的运动状态,而构建众多海洋模型来帮助人们探索海洋。通过漂流浮标——MiNi Boat(无人操作小船)的监测数据并借助GOMOFS、FVCOM-GoM3和DOPPIO海洋模型进行数据预测,并通过计算机Python语言实现图像比对,以此得到预测更精准的海洋模型。
With more and more people's eyes on the ocean,many scholars have constructed many ocean models to help people explore the ocean in order to simulate the movement state similar to the real ocean.This paper uses the monitoring data of the drift buoy:MiNi Boatand uses the GOMOFS,FVCOM-GoM3 and DOPPIO ocean models to make data predictions,and uses the computer Python language to achieve image comparison to obtain more accurate ocean models.
作者
高明超
徐泮林
冯鹏睿
GAO Mingchao;XU Panlin;FENG Pengrui(Ji′nan Surveying and Mapping Research Institute,Ji′nan 250101,China;School of Surveying,Mapping and Spatial Information,Shandong University of Science and Technology,Qingdao 266590,China;The First Geodetic Surveying Brigade,Ministry of Natural Resources,Xi’an 710054,China)
出处
《测绘与空间地理信息》
2022年第5期159-161,共3页
Geomatics & Spatial Information Technology