Forecast Sensitivity Analysis

Forecast Sensitivity Analysis is a methodological framework within rolling budget forecasting that systematically evaluates the impact of variations in underlying assumptions or input parameters on forecasted financial outcomes to assess the robustness and reliability of budget projections.

74

Publications

3.7K

Citations

219

Authors

104

Institutions

Publications per year

2017–2026

25

Authors

219

  1. HM
    Hyun Mee Kim

    Yonsei University, South Korea

    5 publications · 79 citations

    5

    h-index

  2. EK
    Eugenia Kalnay

    University of Maryland, College Park, United States

    5 publications · 250 citations

    5

    h-index

  3. CC
    Carla Cardinali

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 375 citations

    4

    h-index

  4. JS
    John S. Kain

    NOAA National Severe Storms Laboratory, United States

    3 publications · 586 citations

    3

    h-index

  5. GW
    Guomin Wang

    Bureau of Meteorology, Australia

    3 publications · 137 citations

    3

    h-index

1–5 of 219

Venues

  1. 14

    h-index

  2. Monthly Weather Review

    12 publications · 711 citations

    11

    h-index

  3. Weather and Forecasting

    7 publications · 697 citations

    7

    h-index

  4. Geophysical Research Letters

    4 publications · 127 citations

    4

    h-index

  5. Journal of the Atmospheric Sciences

    3 publications · 90 citations

    3

    h-index

1–5