Work

Deep Learning for Postprocessing Global Probabilistic Forecasts on Subseasonal Time Scales

Year: 2024

Type: article

Source: Monthly Weather Review

DOI: 10.1175/mwr-d-23-0150.1

Authors: Nina Horat, Sebastian Lerch

Institutions: Karlsruhe Institute of Technology, Heidelberg Institute for Theoretical Studies

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

Funders: Bundesministerium für Bildung und Forschung, Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg, Vector Stiftung

OpenAlex ID: W4390704937

FWCI: 4.662

Cites: 48

Cited by: 25

Related to: 10