Note:本项目将研究多源大气科学数据基于机器学习的融合方法，云微物理和对流参数化过程基于深度神经网络的替代方案和气象预报要素基于机器学习的偏差订正模型。
Supported by:国家自然科学基金
Type of Research Outcome:IT Application Expert
Classification of Project:National Natural Science Foundation
Sub-Class of Project:NSFC Natural Science Foundation of China
Nature of Project:NSFC General Program
Supported by:National Natural Science Foundation of China (NSFC)
Project level:National
Classification of Disciplines:Natural Science
First-Level Discipline:Atmospheric Sciences
Date of Project Approval:2020-09-23
Date of Project Completion:2024-12-31
Date of Project Initiation:2021-01-01
Project Approval Number:42075137
Subsidy Amount:59.0