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...

Full description

Saved in:
Bibliographic Details
Published in:Atmospheric measurement techniques 2019-01, Vol.12 (1), p.83-106
Main Authors: Carminati, Fabien, Migliorini, Stefano, Ingleby, Bruce, Bell, William, Lawrence, Heather, Newman, Stuart, Hocking, James, Smith, Andrew
Format: Article
Language:English
Subjects:
Analysis
Brightness
Brightness temperature
Calibration
Climate
Climate monitoring
Computer simulation
Data processing
Errors
Fields
Frameworks
Gap analysis
Global climate
Humidity
Humidity profiles
Instruments
Maintenance and repair
Mathematical models
Meteorological research
Meteorological satellites
Microprocessors
Microwave frequencies
Monitoring instruments
Numerical weather prediction
Profiles
Radiance
Radiosondes
Robustness (mathematics)
Satellites
Surface radiation temperature
Temperature
Temperature and humidity profiles
Temperature effects
Uncertainty
Weather forecasting
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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