Model-based Emissions Estimation

Model-Based Emissions Estimation is a quantitative methodology within greenhouse gas inventory management that employs mathematical models and scientific data to estimate emissions or removals of greenhouse gases by simulating underlying processes, distinguishing it from activity-based or direct measurement approaches through its reliance on predictive or diagnostic model structures.

344

Publications

23.4K

Citations

1.3K

Authors

527

Institutions

Publications per year

2017–2026

165

Authors

1.3K

  1. SD
    Song Ding

    Zhejiang University of Finance and Economics, China

    6 publications · 547 citations

    6

    h-index

  2. SH
    Stephan Henne

    Swiss Federal Laboratories for Materials Science and Technology, Switzerland

    5 publications · 382 citations

    5

    h-index

  3. LW
    Lifeng Wu

    Hebei University of Engineering, China

    5 publications · 374 citations

    5

    h-index

  4. MB
    Matthew Barth

    University of California, Riverside, United States

    4 publications · 260 citations

    4

    h-index

  5. DB
    Dominik Brunner

    Swiss Federal Laboratories for Materials Science and Technology, Switzerland

    4 publications · 355 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Journal of Cleaner Production

    20 publications · 1.8K citations

    19

    h-index

  2. Environmental Science and Pollution Research

    ESPR · 17 publications · 942 citations

    16

    h-index

  3. Atmospheric Environment

    15 publications · 1.5K citations

    14

    h-index

  4. Energy

    12 publications · 1.5K citations

    12

    h-index

  5. Energy Policy

    9 publications · 936 citations

    9

    h-index

1–5