Statistical Fog Forecasting

Statistical Fog Forecasting is a predictive modeling approach that employs statistical techniques to estimate the likelihood and characteristics of fog formation based on historical and observational meteorological data.

11

Publications

422

Citations

30

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

30

  1. TB
    Thierry Bergot

    Météo-France, France

    2 publications · 86 citations

    2

    h-index

  2. PB
    Peter Baas

    Royal Netherlands Meteorological Institute, Netherlands

    1 publications · 15 citations

    1

    h-index

  3. AK
    Anil K. Philip

    Rajiv Gandhi University of Health Sciences, India

    1 publications · 59 citations

    1

    h-index

  4. SH
    Song‐You Hong

    Yonsei University, South Korea

    1 publications · 34 citations

    1

    h-index

  5. MS
    Mariano Sastre

    Universidad Complutense de Madrid, Spain

    1 publications · 104 citations

    1

    h-index

1–5 of 30

Venues

  1. MAUSAM

    2 publications · 63 citations

    2

    h-index

  2. Boundary-Layer Meteorology

    2 publications · 67 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Applied Meteorology

    1 publications · 19 citations

    1

    h-index

  5. Atmospheric Research

    1 publications · 31 citations

    1

    h-index

1–5