Parallel two-dimensional flow field multivariate data dynamic visual system

Abstract

The invention discloses a parallel two-dimensional flow field multivariate data dynamic visual system which comprises the following operation steps: (1) preparing flow field data; (2) computing the particle path; and (3) drawing a flow field diagram. Preparing the flow field data includes a time variable, a latitude and longitude coordinate variable, a speed component variable and a temperature variable and other lattice arrays. Computing the particle path is realized through the Fortran program. Finally the flow field diagram is drawn by using the Python language and the corresponding program package. A curved line vector field is constructed by using a particle tracking method based on the commonly used tool in the field of earth science to more visually describe the two-dimensional flow field of the ocean, and particle tracking and drawing are computed by using the parallel technology so that the processing capacity and the computing speed can be greatly enhanced.

Description

technical field [0001] The invention relates to the field of software technology, in particular to a dynamic visualization system for parallelized two-dimensional flow field multivariate data. Background technique [0002] In the field of earth sciences, representing the ocean current field as a vector field is one of the common means to describe the characteristics of the ocean. At present, the methods for visualizing the flow field mainly include the texture method, the geometric line method, and the feature method. Different methods have their own focus on the description of the flow field. Flow field data representing real observations or numerical simulations. With the development of observation technology and computers, the spatial and temporal resolution of ocean current data products is getting higher and higher, and people's requirements for flow field visualization are also getting higher and higher. First of all, the description of the flow field by static pictu...

AI Technical Summary

Problems solved by technology

First of all, the description of the flow field by static pictures can no longer meet the needs of some specific occasions, especially for non-static flow fields, a few simple pictures can no longer describe the changes of the flow field in detail; secondly, currently used in the field of earth science Most of the flow field representation methods are based on the grid point data to draw the linear vector group, which is very limited in the description of the fine structure of the flow field

In addition, although there are many literatures introducing various methods to visualize the flow field, most of them start from the perspective of computer information engineering and technology, and there is still a certain distance from the direct application in the field of earth science.