Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2899-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2899-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A new gas absorption optical depth parameterisation for RTTOV version 13
James Hocking
CORRESPONDING AUTHOR
Met Office, Fitzroy Road, Exeter, EX1 2PB, UK
Jérôme Vidot
CNRM, Université de Toulouse, Météo-France, CNRS, Lannion, France
Pascal Brunel
CNRM, Université de Toulouse, Météo-France, CNRS, Lannion, France
Pascale Roquet
CNRM, Université de Toulouse, Météo-France, CNRS, Lannion, France
Bruna Silveira
CNRM, Université de Toulouse, Météo-France, CNRS, Lannion, France
Emma Turner
Met Office, Fitzroy Road, Exeter, EX1 2PB, UK
Cristina Lupu
ECMWF, Shinfield Park, Reading, UK
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Cited
12 citations as recorded by crossref.
- PostWRF: Interactive tools for the visualization of the WRF and ERA5 model outputs A. Nikfal 10.1016/j.envsoft.2022.105591
- Fast Calculation on Atmospheric Rayleigh Scattering Extinction Optical Depth for Day/Night Band Radiative Transfer Model With Periodic Lunar Illumination S. Liu et al. 10.1029/2023JD039491
- Assessment of Accuracy of Moderate-Resolution Imaging Spectroradiometer Sea Surface Temperature at High Latitudes Using Saildrone Data C. Jia et al. 10.3390/rs16112008
- Diurnal Carbon Monoxide Retrieval from FY-4B/GIIRS Using a Novel Machine Learning Method Z. Liang et al. 10.34133/remotesensing.0289
- Advances in Atmospheric Radiation: Theories, Models, and Their Applications. Part I: Atmospheric Gas Absorption and Particle Scattering H. Zhang et al. 10.1007/s13351-024-3091-4
- Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method X. Song et al. 10.3390/rs17040617
- Calibration of Microwave Humidity Sounder-II Onboard FengYun-3F in Pre/Postlaunch Phases X. Xie et al. 10.1109/TGRS.2024.3451527
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- Development of a fast radiative transfer model for ground-based microwave radiometers (ARMS-gb v1.0): validation and comparison to RTTOV-gb Y. Shi et al. 10.5194/gmd-18-1947-2025
- Copula-based synthetic data augmentation for machine-learning emulators D. Meyer et al. 10.5194/gmd-14-5205-2021
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. 10.5194/amt-17-6003-2024
- Effects of the Hunga Tonga‐Hunga Ha'apai Eruption on MODIS‐Retrieved Sea Surface Temperatures C. Jia & P. Minnett 10.1029/2023GL104297
12 citations as recorded by crossref.
- PostWRF: Interactive tools for the visualization of the WRF and ERA5 model outputs A. Nikfal 10.1016/j.envsoft.2022.105591
- Fast Calculation on Atmospheric Rayleigh Scattering Extinction Optical Depth for Day/Night Band Radiative Transfer Model With Periodic Lunar Illumination S. Liu et al. 10.1029/2023JD039491
- Assessment of Accuracy of Moderate-Resolution Imaging Spectroradiometer Sea Surface Temperature at High Latitudes Using Saildrone Data C. Jia et al. 10.3390/rs16112008
- Diurnal Carbon Monoxide Retrieval from FY-4B/GIIRS Using a Novel Machine Learning Method Z. Liang et al. 10.34133/remotesensing.0289
- Advances in Atmospheric Radiation: Theories, Models, and Their Applications. Part I: Atmospheric Gas Absorption and Particle Scattering H. Zhang et al. 10.1007/s13351-024-3091-4
- Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method X. Song et al. 10.3390/rs17040617
- Calibration of Microwave Humidity Sounder-II Onboard FengYun-3F in Pre/Postlaunch Phases X. Xie et al. 10.1109/TGRS.2024.3451527
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- Development of a fast radiative transfer model for ground-based microwave radiometers (ARMS-gb v1.0): validation and comparison to RTTOV-gb Y. Shi et al. 10.5194/gmd-18-1947-2025
- Copula-based synthetic data augmentation for machine-learning emulators D. Meyer et al. 10.5194/gmd-14-5205-2021
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. 10.5194/amt-17-6003-2024
- Effects of the Hunga Tonga‐Hunga Ha'apai Eruption on MODIS‐Retrieved Sea Surface Temperatures C. Jia & P. Minnett 10.1029/2023GL104297
Latest update: 05 Apr 2025
Short summary
RTTOV is a fast radiative transfer model for simulating passive satellite-based observations at visible, infrared, and microwave wavelengths. A core part of the model is a parameterisation of the absorption of radiation by the various gases present in the atmosphere. We present a new parameterisation that performs well compared to the existing one in terms of accuracy and can be developed further more easily. The new parameterisation is implemented in the latest release, RTTOV v13.0.
RTTOV is a fast radiative transfer model for simulating passive satellite-based observations at...
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