Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15231-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-15231-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Oct 2018
Research article |
| 23 Oct 2018
| 23 Oct 2018
Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals
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
Philip W. Rosenkranz
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Mikhail Y. Tretyakov
Russian Academy of Sciences, Institute of Applied Physics, Nizhny
Novgorod, 603950, Russia
Maksim A. Koshelev
Russian Academy of Sciences, Institute of Applied Physics, Nizhny
Novgorod, 603950, Russia
Filomena Romano
National Research Council of Italy, Institute of Methodologies for
Environmental Analysis, Potenza, 85050, Italy
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- Fully quantum calculations of O2–N2 scattering using a new potential energy surface: Collisional perturbations of the oxygen 118 GHz fine structure line M. Gancewski et al. 10.1063/5.0063006
- The Use of Linear Regression Relations Derived from Model and Experimental Data for Retrieval of the Water Content of Clouds from Ground-Based Microwave Measurements E. Biryukov & V. Kostsov 10.1134/S1024856019050051
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- 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
- 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
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- Sensitivity of thermodynamic profiles retrieved from ground-based microwave and infrared observations to additional input data from active remote sensing instruments and numerical weather prediction models L. Bianco et al. 10.5194/amt-17-3933-2024
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- 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
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- Optimal Estimation Retrievals and Their Uncertainties: What Every Atmospheric Scientist Should Know M. Maahn et al. 10.1175/BAMS-D-19-0027.1
- AMSUTRAN: A microwave transmittance code for satellite remote sensing E. Turner et al. 10.1016/j.jqsrt.2019.02.013
- 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
- Ground-based temperature and humidity profiling: combining active and passive remote sensors D. Turner & U. Löhnert 10.5194/amt-14-3033-2021
- Modeling Snow and Ice Microwave Emissions in the Arctic for a Multi‐Parameter Retrieval of Surface and Atmospheric Variables From Microwave Radiometer Satellite Data J. Rückert et al. 10.1029/2023EA003177
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- Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling A. Alyosef et al. 10.5194/amt-14-2737-2021
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Latest update: 14 Dec 2024
Short summary
The paper presents a general approach to quantify the uncertainty related to atmospheric absorption models. These models describe how the atmosphere interacts with radiation, and they have general implications for atmospheric sciences.
The presented approach contributes to a better understanding of the total uncertainty affecting atmospheric radiative properties, thus reducing the chances of systematic errors when observations are exploited for weather forecast or climate trend derivations.
The paper presents a general approach to quantify the uncertainty related to atmospheric...
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