Climate Data Quality Control
Climate Data Quality Control is a systematic methodological process within climate data analysis that ensures the accuracy, consistency, and reliability of climate observations by detecting, correcting, or eliminating errors, biases, and anomalies in observational datasets.
114
Publications
8.6K
Citations
609
Authors
260
Institutions
Publications per year
2017–2026
54
114
Overview of the Integrated Global Radiosonde Archive
Imke Durre, Russell S. Vose, David B. Wuertz · Journal of Climate · 2006 · 810 citations
NOAA's 1981–2010 U.S. Climate Normals: An Overview
Anthony Argüez, Imke Durre, Scott Applequist et al. · Bulletin of the American Meteorological Society · 2012 · 325 citations
1–5 of 114
609
7
h-index
7
h-index
7
h-index
7
h-index
NOAA National Centers for Environmental Information, United States
6 publications · 1.8K citations
6
h-index
1–5 of 609
260
NOAA National Centers for Environmental Information
Asheville, United States
12 h-index
35 publications
6.6K citations
Met Office
Exeter, United Kingdom
12 h-index
34 publications
2.3K citations

Deutscher Wetterdienst
Offenbach, Germany
9 h-index
20 publications
1.3K citations

National Oceanography Centre
Southampton, United Kingdom
7 h-index
16 publications
1.1K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
7 h-index
45 publications
3.4K citations

NSF National Center for Atmospheric Research
Boulder, United States
6 h-index
7 publications
511 citations

University of Life Sciences in Poznań
Poznań, Poland
5 h-index
5 publications
316 citations
Woodland Trust
Grantham, United Kingdom
5 h-index
5 publications
316 citations
1–8 of 260
BAMS · 15 publications · 1.7K citations
14
h-index
13 publications · 886 citations
12
h-index
7 publications · 310 citations
7
h-index
5 publications · 583 citations
5
h-index
4 publications · 143 citations
4
h-index
1–5