Work

Conditional Generation of Cloud Fields

Year: 2022

Type: conference-paper

Source: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

DOI: 10.1109/igarss46834.2022.9883181

Authors: Naser Mahfouz, Yi Ming, Kaleb Smith

Institutions: National Oceanic and Atmospheric Administration, NOAA Geophysical Fluid Dynamics Laboratory, Princeton University, Nvidia (United States)

Language: English

Topic: Meteorological Phenomena and Simulations

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4312424736

FWCI:

Cites: 26

Cited by:

Related to: 10