Articles | Volume 12, issue 5
https://doi.org/10.5194/gmd-12-1833-2019
© 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/gmd-12-1833-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
09 May 2019
Development and technical paper |
| 09 May 2019
| 09 May 2019
RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability
Domenico Cimini
CORRESPONDING AUTHOR
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Center of Excellence CETEMPS, University of L'Aquila, L'Aquila, 67100,
Italy
James Hocking
Met Office, Exeter, UK
Francesco De Angelis
Center of Excellence CETEMPS, University of L'Aquila, L'Aquila, 67100,
Italy
Angela Cersosimo
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Francesco Di Paola
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Donatello Gallucci
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Sabrina Gentile
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Edoardo Geraldi
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Salvatore Larosa
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Saverio Nilo
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Filomena Romano
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Elisabetta Ricciardelli
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Ermann Ripepi
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Mariassunta Viggiano
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
Lorenzo Luini
DEIB – Politecnico di Milano, IEIIT – CNR, Milan, Italy
Carlo Riva
DEIB – Politecnico di Milano, IEIIT – CNR, Milan, Italy
Frank S. Marzano
University of Rome La Sapienza, Rome, Italy
Center of Excellence CETEMPS, University of L'Aquila, L'Aquila, 67100,
Italy
Pauline Martinet
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Yun Young Song
School of Engineering, Ewha Womans University, Seoul, South Korea
Myoung Hwan Ahn
School of Engineering, Ewha Womans University, Seoul, South Korea
Philip W. Rosenkranz
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Cited
12 citations as recorded by crossref.
- Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study P. Martinet et al. 10.5194/amt-13-6593-2020
- Direct Assimilation of Ground-Based Microwave Radiometer Clear-Sky Radiance Data and Its Impact on the Forecast of Heavy Rainfall Y. Cao et al. 10.3390/rs15174314
- EUMETNET opens to microwave radiometers for operational thermodynamical profiling in Europe R. Rüfenacht et al. 10.1007/s42865-021-00033-w
- Uncertainty in simulated brightness temperature due to sensitivity to atmospheric gas spectroscopic parameters from the centimeter- to submillimeter-wave range D. Gallucci et al. 10.5194/acp-24-7283-2024
- 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
- Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements P. Marquet et al. 10.5194/amt-15-2021-2022
- Anatomy of the uncertainty of satellite vicarious calibration using radiosondes: concepts and preliminary results for microwave radiometric observations D. Cimini et al. 10.1007/s42865-024-00073-y
- Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE D. Cimini et al. 10.1007/s42865-020-00003-8
- Investigating Spaceborne Millimeter-Wave Ice Cloud Imager Geolocation Using Landmark Targets and Frequency-Scaling Approach M. Papa et al. 10.1109/TGRS.2021.3091831
- An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties A. Bell et al. 10.5194/amt-15-5415-2022
- Wind Profile Retrieval Based on LSTM Algorithm and Mobile Observation of Brightness Temperature over the Tibetan Plateau B. Chen et al. 10.3390/rs16061068
12 citations as recorded by crossref.
- Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study P. Martinet et al. 10.5194/amt-13-6593-2020
- Direct Assimilation of Ground-Based Microwave Radiometer Clear-Sky Radiance Data and Its Impact on the Forecast of Heavy Rainfall Y. Cao et al. 10.3390/rs15174314
- EUMETNET opens to microwave radiometers for operational thermodynamical profiling in Europe R. Rüfenacht et al. 10.1007/s42865-021-00033-w
- Uncertainty in simulated brightness temperature due to sensitivity to atmospheric gas spectroscopic parameters from the centimeter- to submillimeter-wave range D. Gallucci et al. 10.5194/acp-24-7283-2024
- 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
- Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements P. Marquet et al. 10.5194/amt-15-2021-2022
- Anatomy of the uncertainty of satellite vicarious calibration using radiosondes: concepts and preliminary results for microwave radiometric observations D. Cimini et al. 10.1007/s42865-024-00073-y
- Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE D. Cimini et al. 10.1007/s42865-020-00003-8
- Investigating Spaceborne Millimeter-Wave Ice Cloud Imager Geolocation Using Landmark Targets and Frequency-Scaling Approach M. Papa et al. 10.1109/TGRS.2021.3091831
- An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties A. Bell et al. 10.5194/amt-15-5415-2022
- Wind Profile Retrieval Based on LSTM Algorithm and Mobile Observation of Brightness Temperature over the Tibetan Plateau B. Chen et al. 10.3390/rs16061068
Latest update: 16 Jul 2025
Short summary
The fast radiative transfer model RTTOV-gb was developed to foster ground-based microwave radiometer data assimilation into numerical weather prediction models, as introduced in a companion paper (https://doi.org/10.5194/gmd-9-2721-2016). Here we present the updates and new features of the current version (v1.0), which is freely accessible online.
The fast radiative transfer model RTTOV-gb was developed to foster ground-based microwave...
