Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation

The characterisation of errors and uncertainties in numerical weather prediction (NWP) model fields is a major challenge that is addressed as part of the Horizon 2020 Gap Analysis for Integrated Atmospheric ECV CLImate Monitoring (GAIA-CLIM) project. In that regard, observations from the GCOS (Globa...

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Veröffentlicht in:Atmospheric measurement techniques 2019-01, Vol.12 (1), p.83-106
Hauptverfasser: Carminati, Fabien, Migliorini, Stefano, Ingleby, Bruce, Bell, William, Lawrence, Heather, Newman, Stuart, Hocking, James, Smith, Andrew
Format: Artikel
Sprache:eng
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Zusammenfassung:The characterisation of errors and uncertainties in numerical weather prediction (NWP) model fields is a major challenge that is addressed as part of the Horizon 2020 Gap Analysis for Integrated Atmospheric ECV CLImate Monitoring (GAIA-CLIM) project. In that regard, observations from the GCOS (Global Climate Observing System) Reference Upper-Air Network (GRUAN) radiosondes are being used at the Met Office and European Centre for Medium-Range Weather Forecasts (ECMWF) to assess errors and uncertainties associated with model data.
ISSN:1867-8548
1867-1381
1867-8548
DOI:10.5194/amt-12-83-2019