Work

Applicability of Machine Learning Model to Simulate Atmospheric CO₂ Variability

Year: 2022

Type: article

Source: IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/tgrs.2022.3157774

Authors: Imran A. Girach, M. Ponmalar, S. Murugan, P. Abdul Rahman, S. Suresh Babu, Radhika Ramachandran

Institutions: Indian Space Research Organisation, Space Applications Centre, Vikram Sarabhai Space Centre, ISRO Propulsion Complex

Language: English

Topic: Atmospheric and Environmental Gas Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4225962002

FWCI: 1.592

Cites: 13

Cited by: 21

Related to: 10