Sounding Error Characterization
Sounding Error Characterization is a methodological framework within atmospheric remote sensing that identifies, quantifies, and classifies the uncertainties and biases inherent in satellite-derived vertical profiles of atmospheric variables, distinguishing itself by systematically attributing errors to specific sources such as instrument noise, retrieval algorithms, or environmental interference.
60
Publications
5.6K
Citations
224
Authors
90
Institutions
Publications per year
2017–2026
5
60
1–5 of 60
224
European Centre for Medium-Range Weather Forecasts, United Kingdom
3 publications · 387 citations
3
h-index
NOAA National Environmental Satellite Data and Information Service, United States
3 publications · 50 citations
3
h-index
3
h-index
National Institute of Water and Atmospheric Research, New Zealand
3 publications · 800 citations
3
h-index
2
h-index
1–5 of 224
90
Jet Propulsion Laboratory
Pasadena, United States
8 h-index
30 publications
11.6K citations
National Oceanic and Atmospheric Administration
Washington, United States
7 h-index
11 publications
621 citations
Met Office
Exeter, United Kingdom
6 h-index
10 publications
411 citations
NOAA National Environmental Satellite Data and Information Service
Silver Spring, United States
6 h-index
17 publications
1K citations
NOAA Center for Satellite Applications and Research
College Park, United States
6 h-index
18 publications
1.1K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
5 h-index
14 publications
1.4K citations
University Corporation for Atmospheric Research
Boulder, United States
4 h-index
10 publications
3.5K citations
Goddard Space Flight Center
Greenbelt, United States
4 h-index
5 publications
129 citations
1–8 of 90
JGR · 10 publications · 3.1K citations
10
h-index
7 publications · 438 citations
7
h-index
6 publications · 322 citations
6
h-index
JGR · 4 publications · 190 citations
4
h-index
4 publications · 204 citations
4
h-index
1–5