Emissions Uncertainty Analysis

Emissions Uncertainty Analysis is a systematic methodological framework used in greenhouse gas accounting to quantify and characterize the uncertainty associated with measured, estimated, or modeled Scope 1 emissions data, distinguishing it from general emission assessment by focusing specifically on the precision, reliability, and sources of error in direct emissions inventories.

340

Publications

20.5K

Citations

1.3K

Authors

476

Institutions

Publications per year

2017–2026

118

Authors

1.3K

  1. RJ
    R. J. Andres

    Oak Ridge National Laboratory, United States

    8 publications · 962 citations

    8

    h-index

  2. HC
    H. Christopher Frey

    North Carolina State University, United States

    8 publications · 345 citations

    8

    h-index

  3. GM
    Gregg Marland

    Oak Ridge National Laboratory, United States

    8 publications · 845 citations

    8

    h-index

  4. PC
    Philippe Ciais

    Laboratoire des Sciences du Climat et de l'Environnement, France

    7 publications · 682 citations

    7

    h-index

  5. MJ
    M. Jonas

    International Institute for Applied Systems Analysis, Austria

    7 publications · 392 citations

    7

    h-index

1–5 of 1.3K

Venues

  1. Atmospheric chemistry and physics

    22 publications · 2.2K citations

    20

    h-index

  2. Atmospheric Environment

    16 publications · 1.4K citations

    16

    h-index

  3. Environmental Science & Technology

    16 publications · 1.4K citations

    15

    h-index

  4. Climatic Change

    14 publications · 547 citations

    13

    h-index

  5. Environmental Research Letters

    ERL · 9 publications · 592 citations

    9

    h-index

1–5