Icing Probabilistic Forecasting

Icing Probabilistic Forecasting is a forecasting methodology that quantifies the likelihood of in-flight icing occurrence over a specified time and space domain, distinguishing itself from deterministic approaches by expressing uncertainty through probabilistic outputs derived from atmospheric models, observational data, and statistical techniques.

8

Publications

397

Citations

29

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

29

  1. HB
    Hans Bergström

    Uppsala University, Sweden

    2 publications · 60 citations

    2

    h-index

  2. HK
    Heiner Körnich

    Stockholm University, Sweden

    2 publications · 60 citations

    2

    h-index

  3. AS
    Anna Sjöblom

    Uppsala University, Sweden

    2 publications · 60 citations

    2

    h-index

  4. JM
    Jennie Molinder

    Uppsala University, Sweden

    2 publications · 60 citations

    2

    h-index

  5. TG
    Tilmann Gneiting

    University of Washington, United States

    1 publications · 80 citations

    1

    h-index

1–5 of 29

Venues

  1. Weather and Forecasting

    1 publications · 11 citations

    1

    h-index

  2. Journal of Cleaner Production

    1 publications · 75 citations

    1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 22 citations

    1

    h-index

  4. Energies

    1 publications · 30 citations

    1

    h-index

  5. Wind energy science

    WES · 1 publications · 30 citations

    1

    h-index

1–5