Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3385-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3385-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
18 Sep 2017
Research article | Highlight paper |
| 18 Sep 2017
Combining ground-based microwave radiometer and the AROME convective scale model through 1DVAR retrievals in complex terrain: an Alpine valley case study
Pauline Martinet
CORRESPONDING AUTHOR
CNRM UMR 3589, Meteo France/CNRS, Toulouse, France
Domenico Cimini
IMAA-CNR, Potenza, Italy
Francesco De Angelis
CETEMPS, University of L'Aquila, L'Aquila, Italy
Guylaine Canut
CNRM UMR 3589, Meteo France/CNRS, Toulouse, France
Vinciane Unger
CNRM UMR 3589, Meteo France/CNRS, Toulouse, France
Remi Guillot
CNRM UMR 3589, Meteo France/CNRS, Toulouse, France
Diane Tzanos
CNRM UMR 3589, Meteo France/CNRS, Toulouse, France
Alexandre Paci
CNRM UMR 3589, Meteo France/CNRS, Toulouse, France
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- The value of assimilating different ground-based profiling networks on the forecasts of bore-generating nocturnal convection H. Chipilski et al. 10.1175/MWR-D-21-0193.1
- Passive ground-based remote sensing of radiation fog H. Guy et al. 10.5194/amt-15-5095-2022
- Impact of Assimilating Ground-Based Microwave Radiometer Data on the Precipitation Bifurcation Forecast: A Case Study in Beijing Y. Qi et al. 10.3390/atmos12050551
- Assimilation of Ground-Based Microwave Radiometer on Heavy Rainfall Forecast in Beijing Y. Qi et al. 10.3390/atmos13010074
- A dataset of temperature, humidity, and liquid water path retrievals from a network of ground-based microwave radiometers dedicated to fog investigation P. Martinet et al. 10.1007/s42865-022-00049-w
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- TP-PROFILE: Monitoring the Thermodynamic Structure of the Troposphere over the Third Pole X. Chen et al. 10.1007/s00376-023-3199-y
- Retrieval of Atmospheric Profiles in the New York State Mesonet Using One‐Dimensional Variational Algorithm J. Yang & Q. Min 10.1029/2018JD028272
- Long-Term Observations of Microwave Brightness Temperatures over a Metropolitan Area: Comparison of Radiometric Data and Spectra Simulated with the Use of Radiosonde Measurements M. Belikovich et al. 10.3390/rs13112061
- Toward instrument combination for boundary layer classification T. Rieutord et al. 10.1002/asl.1144
- EUMETNET opens to microwave radiometers for operational thermodynamical profiling in Europe R. Rüfenacht et al. 10.1007/s42865-021-00033-w
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- 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
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. 10.1175/BAMS-D-17-0231.1
- 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
- Assimilation of Ground‐Based Microwave Radiometer Temperature Observations Into a Convective‐Scale NWP Model for Fog Forecast Improvement G. Thomas et al. 10.1002/qj.4893
- A Method for Retrieving Thermodynamic Atmospheric Profiles Using Microwave Radiometers of Meteorological Observation Networks L. Zhu et al. 10.1109/TGRS.2022.3208939
- Effects of Assimilating Ground-Based Microwave Radiometer and FY-3D MWTS-2/MWHS-2 Data in Precipitation Forecasting B. Wang et al. 10.3390/rs16142682
- Improving the representation of the atmospheric boundary layer by direct assimilation of ground‐based microwave radiometer observations J. Vural et al. 10.1002/qj.4634
- Atmospheric stability from numerical weather prediction models and microwave radiometer observations for onshore and offshore wind energy applications D. Cimini et al. 10.5194/amt-18-2041-2025
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- Temperature and Humidity Profiles Retrieval in a Plain Area from Fengyun-3D/HIRAS Sensor Using a 1D-VAR Assimilation Scheme L. Zhu et al. 10.3390/rs12030435
- Numerical correction of atmospheric temperature profiles in clear and cloudy days Y. Zhao et al. 10.1016/j.atmosres.2018.10.024
- 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
- One-Dimensional Variational Retrieval of Temperature and Humidity Profiles from the FY4A GIIRS Q. Xue et al. 10.1007/s00376-021-1032-z
30 citations as recorded by crossref.
- High-Resolution Observations of Transport and Exchange Processes in Mountainous Terrain S. Emeis et al. 10.3390/atmos9120457
- The value of assimilating different ground-based profiling networks on the forecasts of bore-generating nocturnal convection H. Chipilski et al. 10.1175/MWR-D-21-0193.1
- Passive ground-based remote sensing of radiation fog H. Guy et al. 10.5194/amt-15-5095-2022
- Impact of Assimilating Ground-Based Microwave Radiometer Data on the Precipitation Bifurcation Forecast: A Case Study in Beijing Y. Qi et al. 10.3390/atmos12050551
- Assimilation of Ground-Based Microwave Radiometer on Heavy Rainfall Forecast in Beijing Y. Qi et al. 10.3390/atmos13010074
- A dataset of temperature, humidity, and liquid water path retrievals from a network of ground-based microwave radiometers dedicated to fog investigation P. Martinet et al. 10.1007/s42865-022-00049-w
- Differential Tropospheric Tomography Using Spaceborne Simultaneous Multiangle D-InSAR: Method, Optimization, and Performance Analysis Y. Li et al. 10.1109/TGRS.2024.3482859
- Optimal Estimation Retrievals and Their Uncertainties: What Every Atmospheric Scientist Should Know M. Maahn et al. 10.1175/BAMS-D-19-0027.1
- Comparison of temperature and wind profiles between ground-based remote sensing observations and numerical weather prediction model in complex Alpine topography: the Meiringen campaign A. Bugnard et al. 10.5194/amt-18-1039-2025
- W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors A. Bell et al. 10.5194/amt-14-4929-2021
- TP-PROFILE: Monitoring the Thermodynamic Structure of the Troposphere over the Third Pole X. Chen et al. 10.1007/s00376-023-3199-y
- Retrieval of Atmospheric Profiles in the New York State Mesonet Using One‐Dimensional Variational Algorithm J. Yang & Q. Min 10.1029/2018JD028272
- Long-Term Observations of Microwave Brightness Temperatures over a Metropolitan Area: Comparison of Radiometric Data and Spectra Simulated with the Use of Radiosonde Measurements M. Belikovich et al. 10.3390/rs13112061
- Toward instrument combination for boundary layer classification T. Rieutord et al. 10.1002/asl.1144
- EUMETNET opens to microwave radiometers for operational thermodynamical profiling in Europe R. Rüfenacht et al. 10.1007/s42865-021-00033-w
- Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals D. Cimini et al. 10.5194/acp-18-15231-2018
- Synergy of Satellite- and Ground-Based Observations for Continuous Monitoring of Atmospheric Stability, Liquid Water Path, and Integrated Water Vapor: Theoretical Evaluations Using Reanalysis and Neural Networks M. Toporov & U. Löhnert 10.1175/JAMC-D-19-0169.1
- 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
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. 10.1175/BAMS-D-17-0231.1
- 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
- Assimilation of Ground‐Based Microwave Radiometer Temperature Observations Into a Convective‐Scale NWP Model for Fog Forecast Improvement G. Thomas et al. 10.1002/qj.4893
- A Method for Retrieving Thermodynamic Atmospheric Profiles Using Microwave Radiometers of Meteorological Observation Networks L. Zhu et al. 10.1109/TGRS.2022.3208939
- Effects of Assimilating Ground-Based Microwave Radiometer and FY-3D MWTS-2/MWHS-2 Data in Precipitation Forecasting B. Wang et al. 10.3390/rs16142682
- Improving the representation of the atmospheric boundary layer by direct assimilation of ground‐based microwave radiometer observations J. Vural et al. 10.1002/qj.4634
- Atmospheric stability from numerical weather prediction models and microwave radiometer observations for onshore and offshore wind energy applications D. Cimini et al. 10.5194/amt-18-2041-2025
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- Temperature and Humidity Profiles Retrieval in a Plain Area from Fengyun-3D/HIRAS Sensor Using a 1D-VAR Assimilation Scheme L. Zhu et al. 10.3390/rs12030435
- Numerical correction of atmospheric temperature profiles in clear and cloudy days Y. Zhao et al. 10.1016/j.atmosres.2018.10.024
- 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
- One-Dimensional Variational Retrieval of Temperature and Humidity Profiles from the FY4A GIIRS Q. Xue et al. 10.1007/s00376-021-1032-z
Latest update: 24 Jul 2025
Short summary
Microwave radiometers have the capability of observing temperature and humidity profiles with a few minute time resolution. This study investigates the potential benefit of this instrument to improve weather forecasts thanks to a better initialization of the model. Our results show that a significant improvement can be expected in the model initialization in the first 3 km with potential impacts on weather forecasts.
Microwave radiometers have the capability of observing temperature and humidity profiles with a...
