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Intercomparison of GNSS-RO Quality Control Checks in NWP. Part I: Survey of Methods

  • Neill E. Bowler
  • , Hailing Zhang
  • , Harald Anlauf
  • , Josep M. Aparicio
  • , Hui W. Christophersen
  • , Eun Hee Kim
  • , Xuanli Li
  • , Yan Liu
  • , Katrin Lonitz
  • , Yasutaka Murakami
  • , Dominique Raspaud
  • , Benjamin Ruston
  • Met Office
  • University Corporation of Atmospheric Research
  • Deutscher Wetterdienst
  • Université Laval and Environment and Climate Change Canada
  • Naval Research Laboratory
  • Korea Meteorological Administration
  • National Oceanic and Atmospheric Administration
  • China Meteorological Administration
  • European Centre for Medium-Range Weather Forecasts
  • Japan Meteorological Agency
  • Météo France

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

While understanding that quality control (QC) processes crucially affect the statistics of the observations compared to short-range numerical weather prediction (NWP) forecasts and the subsequent analyses, we also realize the fact that many centers implement entirely different QC methods from each other in operations. Here, we catalog the QC methods of Global Navigation Satellite System (GNSS) radio occultation (RO) observations used for data assimilation (DA) by NWP centers. The QC methods are categorized into four groups: preliminary checks which often refer to the metadata of the observed profile, background checks where the observation is compared to a short-range forecast, superrefraction checks which attempt to look for the presence of superrefraction in the profile, and miscellaneous checks such as running a one-dimensional variational scheme or using the variational QC method. This survey is the first published catalog of QC checks used in GNSS-RO observations. It also sets up the second part of this paper, where various methods for diagnosing superrefraction are compared.

Original languageEnglish
Pages (from-to)701-712
Number of pages12
JournalJournal of Atmospheric and Oceanic Technology
Volume43
Issue number6
DOIs
StatePublished - Jun 2026
Externally publishedYes

Keywords

  • Atmosphere
  • Numerical weather prediction/forecasting
  • Occultation
  • Quality assurance/control

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