Retrieval Uncertainty Estimation

Retrieval Uncertainty Estimation is a methodological framework in atmospheric remote sensing that quantifies the uncertainty associated with retrieved geophysical parameters from satellite observations by characterizing the propagation of measurement noise, forward model errors, and prior knowledge uncertainties within the inversion process.

371

Publications

23.3K

Citations

1.6K

Authors

538

Institutions

Publications per year

2017–2026

147

Authors

1.6K

  1. GK
    Gottfried Kirchengast

    University of Graz, Austria

    13 publications · 1.5K citations

    13

    h-index

  2. FC
    Frédéric Chevallier

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

    12 publications · 800 citations

    12

    h-index

  3. SS
    S. S. Kulawik

    Jet Propulsion Laboratory, United States

    8 publications · 454 citations

    8

    h-index

  4. PE
    Patrick Eriksson

    Chalmers University of Technology, Sweden

    8 publications · 379 citations

    8

    h-index

  5. AM
    A. M. Sayer

    Goddard Space Flight Center, United States

    7 publications · 835 citations

    7

    h-index

1–5 of 1.6K

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 38 publications · 4.2K citations

    31

    h-index

  2. Atmospheric measurement techniques

    50 publications · 2.5K citations

    27

    h-index

  3. Atmospheric chemistry and physics

    22 publications · 1.2K citations

    18

    h-index

  4. Remote Sensing of Environment

    17 publications · 1.1K citations

    17

    h-index

  5. Remote Sensing

    18 publications · 840 citations

    15

    h-index

1–5