Long-Term Observations of Microwave Brightness Temperatures over a Metropolitan Area: Comparison of Radiometric Data and Spectra Simulated with the Use of Radiosonde Measurements

Author:

Belikovich Mikhail V.ORCID,Kulikov Mikhail Yu.ORCID,Makarov Dmitry S.,Skalyga Natalya K.,Ryskin Vitaly G.,Shvetsov Alexander A.ORCID,Krasil’nikov Alexander A.,Dementyeva Svetlana O.,Serov Evgeny A.,Feigin Alexander M.

Abstract

Ground-based microwave radiometers are increasingly used in operational meteorology and nowcasting. These instruments continuously measure the spectra of downwelling atmospheric radiation in the range 20–60 GHz used for the retrieval of tropospheric temperature and water vapor profiles. Spectroscopic uncertainty is an important part of the retrieval error budget, as it leads to systematic bias. In this study, we analyze the difference between observed and simulated microwave spectra obtained from more than four years of microwave and radiosonde observations over Nizhny Novgorod (56.2° N, 44° E). We focus on zenith-measured and elevation-scanning data in clear-sky conditions. The simulated spectra are calculated by a radiative transfer model with the use of radiosonde profiles and different absorption models, corresponding to the latest spectroscopy research. In the case of zenith-measurements, we found a systematic bias (up to ~2 K) of simulated spectra at 51–54 GHz. The sign of bias depends on the absorption model. A thorough investigation of the error budget points to a spectroscopic nature of the observed differences. The dependence of the results on the elevation angle and absorption model can be explained by the basic properties of radiative transfer and by cloud contamination at elevation angles.

Funder

Russian Science Foundation

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations;Geoscientific Model Development;2024-03-12

2. Russian Investigations in the Field of Amtospheric Radiation in 2019–2022;Известия Российской академии наук. Физика атмосферы и океана;2023-12-01

3. The estimation of seasonal variation of retrieval error in tropospheric temperature microwave profiling;28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics;2022-12-08

4. Validation of Atmospheric Absorption Models within the 20–60 GHz Band by Simultaneous Radiosonde and Microwave Observations: The Advantage of Using ECS Formalism;Remote Sensing;2022-11-29

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