Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-83-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-83-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jan 2019
Research article |
| 07 Jan 2019
| 07 Jan 2019
Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
Fabien Carminati
CORRESPONDING AUTHOR
Met Office, Exeter, EX1 3PB, UK
Stefano Migliorini
Met Office, Exeter, EX1 3PB, UK
Bruce Ingleby
ECMWF, Reading, RG2 9AX, UK
William Bell
ECMWF, Reading, RG2 9AX, UK
Heather Lawrence
ECMWF, Reading, RG2 9AX, UK
Stuart Newman
Met Office, Exeter, EX1 3PB, UK
James Hocking
Met Office, Exeter, EX1 3PB, UK
Andrew Smith
Met Office, Exeter, EX1 3PB, UK
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Cited
15 citations as recorded by crossref.
- Calibration and Validation of Antenna and Brightness Temperatures from Metop-C Advanced Microwave Sounding Unit-A (AMSU-A) B. Yan et al. 10.3390/rs12182978
- Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget J. Barten et al. 10.1525/elementa.2022.00086
- Assessment of New Satellite Missions within the Framework of Numerical Weather Prediction S. Newman et al. 10.3390/rs12101580
- Uncertainties in the permittivity model for seawater in FASTEM and implications for the calibration/validation of microwave imagers H. Lawrence et al. 10.1016/j.jqsrt.2019.106813
- An Ensemble-Based Model for Specific Humidity Retrieval from Landsat-8 Satellite Data for South Korea S. Choi et al. 10.3390/atmos15020218
- Characterising extratropical near‐tropopause analysis humidity biases and their radiative effects on temperature forecasts J. Bland et al. 10.1002/qj.4150
- Growing Operational Use of FY-3 Data in the ECMWF System N. Bormann et al. 10.1007/s00376-020-0207-3
- Assessment of the Hyperspectral Infrared Atmospheric Sounder (HIRAS) F. Carminati et al. 10.3390/rs11242950
- Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective F. Madonna et al. 10.5194/amt-13-3621-2020
- Gap Filling of Advanced Technology Microwave Sounder Data as Applied to Hurricane Warm Core Animations B. Yan et al. 10.1029/2019EA000961
- An Objective Quality Control of Surface Contamination Observations for ABI Water Vapor Radiance Assimilation Z. Li et al. 10.1029/2021JD036061
- Learning earth system models from observations: machine learning or data assimilation? A. Geer 10.1098/rsta.2020.0089
- Drone-based meteorological observations up to the tropopause – a concept study K. Bärfuss et al. 10.5194/amt-16-3739-2023
- Derivation and Validation of Sensor Brightness Temperatures for Advanced Microwave Sounding Unit-A Instruments B. Yan & K. Ahmad 10.1109/TGRS.2020.2992270
- A New 32-Day Average-Difference Method for Calculating Inter-Sensor Calibration Radiometric Biases between SNPP and NOAA-20 Instruments within ICVS Framework B. Yan et al. 10.3390/rs13163079
15 citations as recorded by crossref.
- Calibration and Validation of Antenna and Brightness Temperatures from Metop-C Advanced Microwave Sounding Unit-A (AMSU-A) B. Yan et al. 10.3390/rs12182978
- Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget J. Barten et al. 10.1525/elementa.2022.00086
- Assessment of New Satellite Missions within the Framework of Numerical Weather Prediction S. Newman et al. 10.3390/rs12101580
- Uncertainties in the permittivity model for seawater in FASTEM and implications for the calibration/validation of microwave imagers H. Lawrence et al. 10.1016/j.jqsrt.2019.106813
- An Ensemble-Based Model for Specific Humidity Retrieval from Landsat-8 Satellite Data for South Korea S. Choi et al. 10.3390/atmos15020218
- Characterising extratropical near‐tropopause analysis humidity biases and their radiative effects on temperature forecasts J. Bland et al. 10.1002/qj.4150
- Growing Operational Use of FY-3 Data in the ECMWF System N. Bormann et al. 10.1007/s00376-020-0207-3
- Assessment of the Hyperspectral Infrared Atmospheric Sounder (HIRAS) F. Carminati et al. 10.3390/rs11242950
- Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective F. Madonna et al. 10.5194/amt-13-3621-2020
- Gap Filling of Advanced Technology Microwave Sounder Data as Applied to Hurricane Warm Core Animations B. Yan et al. 10.1029/2019EA000961
- An Objective Quality Control of Surface Contamination Observations for ABI Water Vapor Radiance Assimilation Z. Li et al. 10.1029/2021JD036061
- Learning earth system models from observations: machine learning or data assimilation? A. Geer 10.1098/rsta.2020.0089
- Drone-based meteorological observations up to the tropopause – a concept study K. Bärfuss et al. 10.5194/amt-16-3739-2023
- Derivation and Validation of Sensor Brightness Temperatures for Advanced Microwave Sounding Unit-A Instruments B. Yan & K. Ahmad 10.1109/TGRS.2020.2992270
- A New 32-Day Average-Difference Method for Calculating Inter-Sensor Calibration Radiometric Biases between SNPP and NOAA-20 Instruments within ICVS Framework B. Yan et al. 10.3390/rs13163079
Latest update: 23 Apr 2024
Short summary
The GRUAN processor is a software developed to collocate radiosonde profiles and numerical weather prediction model fields, simulate top-of-atmosphere brightness temperature at frequencies used by space-borne instruments, and propagate the radiosonde uncertainties in that simulation. This work responds to an identified lack of metrologically traceable characterisation of uncertainties in model fields that are increasingly used for the validation and calibration of space-borne instruments.
The GRUAN processor is a software developed to collocate radiosonde profiles and numerical...
