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

<p>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 GC...

Full description

Bibliographic Details
Main Authors: F. Carminati, S. Migliorini, B. Ingleby, W. Bell, H. Lawrence, S. Newman, J. Hocking, A. Smith
Format: Article
Language:English
Published: Copernicus Publications 2019-01-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/12/83/2019/amt-12-83-2019.pdf
id doaj-af82ea5078c74dd1a135984915e2ccfd
record_format Article
spelling doaj-af82ea5078c74dd1a135984915e2ccfd2020-11-25T01:19:07ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-01-01128310610.5194/amt-12-83-2019Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validationF. Carminati0S. Migliorini1B. Ingleby2W. Bell3H. Lawrence4S. Newman5J. Hocking6A. Smith7Met Office, Exeter, EX1 3PB, UKMet Office, Exeter, EX1 3PB, UKECMWF, Reading, RG2 9AX, UKECMWF, Reading, RG2 9AX, UKECMWF, Reading, RG2 9AX, UKMet Office, Exeter, EX1 3PB, UKMet Office, Exeter, EX1 3PB, UKMet Office, Exeter, EX1 3PB, UK<p>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.</p> <p>The software introduced in this study and referred to as the GRUAN processor has been developed to collocate GRUAN radiosonde profiles and NWP model fields, simulate top-of-atmosphere brightness temperature at frequencies used by space-borne instruments, and propagate GRUAN uncertainties in that simulation. A mathematical framework used to estimate and assess the uncertainty budget of the comparison of simulated brightness temperature is also proposed.</p> <p>A total of 1 year of GRUAN radiosondes and matching NWP fields from the Met Office and ECMWF have been processed and analysed for the purposes of demonstration of capability. We present preliminary results confirming the presence of known biases in the temperature and humidity profiles of both NWP centres. The night-time difference between GRUAN and Met Office (ECMWF) simulated brightness temperature at microwave frequencies predominantly sensitive to temperature is on average smaller than 0.1&thinsp;K (0.4&thinsp;K). Similarly, this difference is on average smaller than 0.5&thinsp;K (0.4&thinsp;K) at microwave frequencies predominantly sensitive to humidity.</p> <p>The uncertainty estimated for the Met Office–GRUAN difference ranges from 0.08 to 0.13&thinsp;K for temperature-sensitive frequencies and from 1.6 to 2.5&thinsp;K for humidity-sensitive frequencies. From the analysed sampling, 90&thinsp;% of the comparisons are found to be in statistical agreement.</p> <p>This initial study has the potential to be extended to a larger collection of GRUAN profiles, covering multiple sites and years, with the aim of providing a robust estimation of both errors and uncertainties of NWP model fields in radiance space for a selection of key microwave and infrared frequencies.</p>https://www.atmos-meas-tech.net/12/83/2019/amt-12-83-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author F. Carminati
S. Migliorini
B. Ingleby
W. Bell
H. Lawrence
S. Newman
J. Hocking
A. Smith
spellingShingle F. Carminati
S. Migliorini
B. Ingleby
W. Bell
H. Lawrence
S. Newman
J. Hocking
A. Smith
Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
Atmospheric Measurement Techniques
author_facet F. Carminati
S. Migliorini
B. Ingleby
W. Bell
H. Lawrence
S. Newman
J. Hocking
A. Smith
author_sort F. Carminati
title Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
title_short Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
title_full Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
title_fullStr Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
title_full_unstemmed Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
title_sort using reference radiosondes to characterise nwp model uncertainty for improved satellite calibration and validation
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2019-01-01
description <p>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.</p> <p>The software introduced in this study and referred to as the GRUAN processor has been developed to collocate GRUAN radiosonde profiles and NWP model fields, simulate top-of-atmosphere brightness temperature at frequencies used by space-borne instruments, and propagate GRUAN uncertainties in that simulation. A mathematical framework used to estimate and assess the uncertainty budget of the comparison of simulated brightness temperature is also proposed.</p> <p>A total of 1 year of GRUAN radiosondes and matching NWP fields from the Met Office and ECMWF have been processed and analysed for the purposes of demonstration of capability. We present preliminary results confirming the presence of known biases in the temperature and humidity profiles of both NWP centres. The night-time difference between GRUAN and Met Office (ECMWF) simulated brightness temperature at microwave frequencies predominantly sensitive to temperature is on average smaller than 0.1&thinsp;K (0.4&thinsp;K). Similarly, this difference is on average smaller than 0.5&thinsp;K (0.4&thinsp;K) at microwave frequencies predominantly sensitive to humidity.</p> <p>The uncertainty estimated for the Met Office–GRUAN difference ranges from 0.08 to 0.13&thinsp;K for temperature-sensitive frequencies and from 1.6 to 2.5&thinsp;K for humidity-sensitive frequencies. From the analysed sampling, 90&thinsp;% of the comparisons are found to be in statistical agreement.</p> <p>This initial study has the potential to be extended to a larger collection of GRUAN profiles, covering multiple sites and years, with the aim of providing a robust estimation of both errors and uncertainties of NWP model fields in radiance space for a selection of key microwave and infrared frequencies.</p>
url https://www.atmos-meas-tech.net/12/83/2019/amt-12-83-2019.pdf
work_keys_str_mv AT fcarminati usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT smigliorini usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT bingleby usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT wbell usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT hlawrence usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT snewman usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT jhocking usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
AT asmith usingreferenceradiosondestocharacterisenwpmodeluncertaintyforimprovedsatellitecalibrationandvalidation
_version_ 1725140061381459968