A comparison of automated statistical quality control methods for error detection in historical radiosonde temperatures
Author:
Affiliation:
1. Computational Information Systems Laboratory; National Center for Atmospheric Research; Boulder CO USA
2. Department of Applied Mathematics and Statistics; Colorado School of Mines; Golden CO USA
Funder
National Science Foundation
Publisher
Wiley
Subject
Atmospheric Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/joc.4327/fullpdf
Reference40 articles.
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2. Moisture variability over Indian monsoon regions observed using high resolution radiosonde measurements;Basha;Atmos. Res.,2013
3. A robust measure of skewness;Brys;J. Comput. Graph. Stat.,2004
4. Collins WG 1997 The use of complex quality control for the detection and correction of rough errors in rawinsonde heights and temperatures: A new algorithm at NCEP/EMC http://www.lib.ncep.noaa.gov/ncepofficenotes/files/01408B2E.pdf
5. The operational complex quality control of radiosonde heights and temperatures at the National Centers for Environmental Prediction. Part I: description of the method;Collins;J. Appl. Meteorol.,2001
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2. A quality control method for surface hourly temperature observations via gene‐expression programming;International Journal of Climatology;2017-10
3. Comments on: Spatiotemporal models for skewed processes;Environmetrics;2017-09
4. Robust bivariate error detection in skewed data with application to historical radiosonde winds;Environmetrics;2017-01-17
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