Work

A framework for measurement and modeling of sea spray frequency: A probabilistic approach and a synthetic data‐based machine‐learning method

Year: 2025

Type: article

Source: Quarterly Journal of the Royal Meteorological Society

DOI: 10.1002/qj.5034

Authors: Sushmit Dhar, Masoud Naseri, Romain Ceolato, Tiantian Zhu, Hassan Abbas Khawaja, Kåre Edvardsen

Institutions: UiT The Arctic University of Norway, Office National d'Études et de Recherches Aérospatiales, Université de Toulouse

Language: English

Topic: Icing and De-icing Technologies

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funder: Norges Forskningsråd

Award: G8525659104

OpenAlex ID: W4411843155

FWCI: 0.391

Cites: 27

Cited by: 1

Related to: 10