Rainfall Data Quality Control
Rainfall Data Quality Control is a systematic procedural framework within meteorological data processing that identifies, corrects, and prevents errors and inconsistencies in rainfall measurements to ensure the accuracy, reliability, and temporal integrity of precipitation datasets.
120
Publications
9.6K
Citations
410
Authors
200
Institutions
Publications per year
2017–2026
49
Parents
120
D. S. Pai, M. Rajeevan, O. P. Sreejith et al. · MAUSAM · 2014 · 2K citations · Full text
Some methods for testing the homogeneity of rainfall records
T. A. Buishand · Journal of Hydrology · 1982 · 1.2K citations
Weather radar rainfall data in urban hydrology
Søren Liedtke Thorndahl, Thomas Einfalt, Patrick Willems et al. · Hydrology and earth system sciences · 2017 · 218 citations · Full text
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410
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200

Newcastle University
Newcastle upon Tyne, United Kingdom
7 h-index
31 publications
2.3K citations

UNSW Sydney
Sydney, Australia
6 h-index
11 publications
712 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
4 h-index
8 publications
328 citations
Wageningen University & Research
Wageningen, The Netherlands
4 h-index
9 publications
1.2K citations

Bureau of Meteorology
Melbourne, Australia
4 h-index
6 publications
578 citations
NOAA National Centers for Environmental Information
Asheville, United States
4 h-index
7 publications
503 citations

Barcelona Supercomputing Center
Barcelona, Spain
3 h-index
3 publications
186 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
11 publications
330 citations
1–8 of 200
18 publications · 2.2K citations
16
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7 publications · 401 citations
7
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5 publications · 286 citations
5
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4 publications · 174 citations
4
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4 publications · 172 citations
4
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