Work

ACs - wcd-2022-55

Year: 2022

Type: peer-review

Source: Weather and Climate Dynamics

DOI: 10.5194/wcd-2022-55-ac1

Author: Raphael de Fondeville

Institutions: ETH Zurich, Swiss Data Science Center, École Polytechnique Fédérale de Lausanne

Language: German

SDG: Climate action

Open Access status: diamond

Funders: National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: Remote Drivers of Extreme Temperature Events, Improving the Prediction of Sub-seasonal to Seasonal Weather and Climate – From Theory to Application

OpenAlex ID: W4313430518

Cites: 36

Cited by:

Related to: 10