Climate Pattern Recognition

Climate Pattern Recognition is a computational methodology within climate informatics that distinguishes itself by identifying and characterizing recurring spatiotemp editorial structures and anomalies in climate data through algorithmic detection and statistical learning techniques.

60

Publications

3.6K

Citations

191

Authors

121

Institutions

Publications per year

2017–2026

34

Authors

191

  1. JW
    James W. Hurrell

    NSF National Center for Atmospheric Research, United States

    1 publications · 189 citations

    2

    h-index

  2. EA
    Elizabeth A. Barnes

    Colorado State University, United States

    1 publications · 189 citations

    2

    h-index

  3. LF
    Luciano Floridi

    University of Oxford, United Kingdom

    1 publications · 74 citations

    1

    h-index

  4. XZ
    Xuan Zhang

    Beijing Normal University, China

    1 publications · 16 citations

    1

    h-index

  5. DS
    David S. Battisti

    University of Washington, United States

    1 publications · 154 citations

    1

    h-index

1–5 of 191

Venues

  1. Journal of Climate

    4 publications · 214 citations

    4

    h-index

  2. Geophysical Research Letters

    2 publications · 202 citations

    3

    h-index

  3. Theoretical and Applied Climatology

    3 publications · 197 citations

    3

    h-index

  4. Nature

    2 publications · 204 citations

    2

    h-index

  5. Energy

    2 publications · 146 citations

    2

    h-index

1–5