Ice Condition Prediction Method, Device, Electronic Equipment and Storage Medium for Fixed Ice

Abstract

The present disclosure provides an ice prediction method, device, electronic equipment and storage medium for fixing ice. The specific implementation scheme is: based on the density information and motion information of sea ice in the target grid, determine the The state of the sea ice in the target grid; when the state of the sea ice in the target grid is the target state, update the fixed ice area range based on the area range corresponding to the target grid, and based on the The initial relevant parameters of the sea ice in the target grid determine the ice thickness of the sea ice in the target grid after a preset period of time. The embodiments of the present disclosure can more timely and accurately update the range of the fixed ice region, and more accurately and timely predict the ice thickness of the fixed ice.

Description

technical field [0001] The present disclosure relates to the field of data processing, and more specifically, the present disclosure relates to an ice condition prediction method, device, electronic device and storage medium for immobilized ice. Background technique [0002] As a special type of sea ice, polar coastal fixed ice is an important indicator of global climate change, especially polar climate change, and an important carrier that affects coastal human survival activities, scientific investigations, engineering development, and ecosystem evolution. Therefore, it is necessary to obtain the fixed ice range and ice thickness in the polar coastal area in a timely and accurate manner. On the one hand, it can more accurately grasp the situation of polar climate change and global climate change. On the other hand, it can better serve coastal human activities and scientific investigations, such as my country's Arctic Yellow River Station and Antarctic Zhongshan Station. ...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, the ice thickness of fixed ice is usually obtained by means of on-site observation, but in some areas the natural environment is extremely harsh, and the conditions for on-site observation of fixed ice are difficult and dangerous. Data on the ice sheet of the ice are scarce and not timely enough

In the case where on-site observations cannot provide valid data, numerical simulation techniques based on mathematical models can be used to deal with data gaps. However, different mathematical models may also have problems with inaccurate predictions.

Images