Sectoral Impact Modeling

Sectoral Impact Modeling is a type of climate impact modeling that specifically assesses the effects of climate change on a particular human or natural system sector—such as agriculture, water resources, health, or energy—by integrating climate projections with sector-specific mechanisms, vulnerabilities, and adaptive capacities to quantify potential impacts within that domain.

109

Publications

11.4K

Citations

683

Authors

285

Institutions

Publications per year

2017–2026

49

Publications

109

1–5 of 109

Authors

683

  1. IH
    Ian Holman

    Cranfield University, United Kingdom

    6 publications · 404 citations

    6

    h-index

  2. NW
    Nigel W. Arnell

    University of Reading, United Kingdom

    4 publications · 363 citations

    4

    h-index

  3. PA
    Paula A. Harrison

    University of Oxford, United Kingdom

    4 publications · 192 citations

    4

    h-index

  4. RJ
    Robert J. Nicholls

    University of Southampton, United Kingdom

    3 publications · 262 citations

    3

    h-index

  5. VK
    Volker Krey

    International Institute for Applied Systems Analysis, Austria

    3 publications · 68 citations

    3

    h-index

1–5 of 683

Venues

  1. Climatic Change

    6 publications · 362 citations

    6

    h-index

  2. The Science of The Total Environment

    6 publications · 388 citations

    6

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 5 publications · 206 citations

    5

    h-index

  4. Energy Policy

    4 publications · 133 citations

    4

    h-index

  5. Regional Environmental Change

    4 publications · 188 citations

    4

    h-index

1–5