Statistical Temperature Forecasting

Statistical Temperature Forecasting is a forecasting methodology that employs statistical models to predict future temperature values based on historical and observational data, distinguished from dynamical methods by its reliance on empirical relationships rather than physical laws of atmospheric dynamics.

62

Publications

2.3K

Citations

172

Authors

85

Institutions

Publications per year

2017–2026

18

Authors

172

  1. AP
    A. P. Dimri

    Jawaharlal Nehru University, India

    2 publications · 50 citations

    2

    h-index

  2. UC
    U. C. Mohanty

    Indian Institute of Technology Bhubaneswar, India

    2 publications · 50 citations

    2

    h-index

  3. HL
    Hongxia Li

    Xi'an University of Science and Technology, China

    1 publications · 14 citations

    1

    h-index

  4. ZL
    Zhong Li

    McMaster University, Canada

    1 publications · 89 citations

    1

    h-index

  5. SC
    Shyi‐Ming Chen

    National Taiwan University of Science and Technology, Taiwan

    1 publications · 157 citations

    1

    h-index

1–5 of 172

Venues

  1. Meteorological Applications

    4 publications · 117 citations

    4

    h-index

  2. Monthly Weather Review

    3 publications · 112 citations

    3

    h-index

  3. Computers and Electronics in Agriculture

    2 publications · 123 citations

    2

    h-index

  4. Theoretical and Applied Climatology

    2 publications · 223 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 264 citations

    2

    h-index

1–5