Work

Probabilistic forecasting using deep generative models

Year: 2020

Type: article

Source: GeoInformatica

DOI: 10.1007/s10707-020-00425-8

Authors: Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu, Guido Cervone

Institutions: NSF National Center for Atmospheric Research, University Corporation for Atmospheric Research, NSF NCAR Research Applications Laboratory, University of Iowa, Pennsylvania State University

Language: English

Topic: Meteorological Phenomena and Simulations

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

Funders: National Science Foundation, University Corporation for Atmospheric Research

OpenAlex ID: W2975726533

FWCI: 1.134

Cites: 38

Cited by: 25

Related to: 20