Work

A deep learning approach to predict sea surface temperature based on multiple modes

Year: 2022

Type: article

Source: Ocean Modelling

DOI: 10.1016/j.ocemod.2022.102158

Authors: Shuang Xu, Dejun Dai, Xuerong Cui, Xunqiang Yin, Shumin Jiang, Haidong Pan, Guansuo Wang

Institutions: Ministry of Natural Resources, First Institute of Oceanography, China University of Petroleum, East China, Qingdao National Laboratory for Marine Science and Technology

Language: English

Topic: Oceanographic and Atmospheric Processes

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Life below water, Climate action

Open Access status: closed

Funders: Google, European Space Agency, National Natural Science Foundation of China, Chinese Medical Association, National Program on Global Change and Air-Sea Interaction

Awards: G5188941550, G8655643622

OpenAlex ID: W4311549477

FWCI: 5.451

Cites: 31

Cited by: 66

Related to: 10