Crps Decomposition

CRPS Decomposition is a diagnostic framework in probabilistic forecasting that decomposes the Continuous Ranked Probability Score into constituent components such as reliability, resolution, and uncertainty, thereby enabling a nuanced assessment of forecast performance by distinguishing between miscalibration, informativeness, and inherent variability.

8

Publications

2K

Citations

21

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

21

  1. LK
    Leif Karlsson

    Uppsala University, Sweden

    1 publications · 14 citations

    1

    h-index

  2. MT
    Mattias Thuvander

    Chalmers University of Technology, Sweden

    1 publications · 14 citations

    1

    h-index

  3. DW
    Derek W. Bunn

    London Business School, United Kingdom

    1 publications · 16 citations

    1

    h-index

  4. AS
    Ahti Salo

    Aalto University, Finland

    1 publications · 16 citations

    1

    h-index

  5. NF
    Nicklas Folkeson

    Chalmers University of Technology, Sweden

    1 publications · 14 citations

    1

    h-index

1–5 of 21

Venues

  1. 3

    h-index

  2. Monthly Weather Review

    1 publications · 42 citations

    1

    h-index

  3. Journal of Hydrometeorology

    1 publications · 24 citations

    1

    h-index

  4. Weather and Forecasting

    1 publications · 1.6K citations

    1

    h-index

  5. Technological Forecasting and Social Change

    1 publications · 16 citations

    1

    h-index

1–5