Journal Browser

Journal Browser

Special Issue "Advances in Near-Earth Space and Atmospheric Physics from Ground-Based and Satellite Observations"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 29 March 2024 | Viewed by 450

Special Issue Editors

Dr. Veronika Barta
E-Mail Website
Guest Editor
HUN-REN Institute of Earth Physics and Space Science, Sopron, Hungary
Interests: atmospheric science; ionospheric physics; ionosonde; GNSS; space weather; atmospheric electricity
Dr. Christina Arras
E-Mail Website
Guest Editor
1. Institute of Geodesy, Technische Universität Berlin, Berlin, Germany
2. Deutsches GeoForschungs Zentrum (GFZ), Potsdam, Germany
Interests: gnss radio occultation; geomagnetic storm; physics of the upper atmosphere, climatological changes and trends coupling processes between troposphere/mesosphere/ionosphere
Dr. Jaroslav Urbar
E-Mail Website
Guest Editor
Institute of Atmospheric Physics of Czech Academy of Sciences, Prague, Czech Republic
Interests: GNSS; ionospheric and space physics; upper atmosphere physics

Special Issue Information

Dear Colleagues,

Within the near-Earth space and the atmosphere, all regions are closely interconnected, forming a multi-coupled complex system. Space weather events originating from the Sun, such as solar flares, energetic particle precipitations and effects of solar wind disturbances including Interplanetary Coronal Mass Ejections (ICMEs) or Corotating Interaction Regions (CIRs), can cause significant changes in the Earth's environment. These variations manifest in different spheres/regions of the system (such as geomagnetic storms and ionospheric storms) that are summarized as geospheric storms. Furthermore, the lowest part of the terrestrial plasma—the ionosphere—is strongly coupled with the neutral atmosphere. Therefore, the ionosphere is also affected from below by the different types of atmospheric waves associated with phenomena of non-space origin and irregular character (e.g., severe tropospheric convection, thunderstorms, and tectonic activity).

The variability of the plasma environment range across broad spatial scales, from local or regional to inter-hemispherical or global changes. Their temporal variability is also diversified, from the 11-year solar cycle variations to rapid changes, which are still difficult to predict as well as measure in situ. The resulting intense variations in the terrestrial plasma affect communication and navigation systems, spacecraft operations, manned space missions, as well as commercial aircraft operations. Thus, monitoring the processes within the system via ground-based and satellite observations is rather crucial.

This Special Issue aims to collate research papers that contribute toward improving our understanding of the physical processes within the Earth’s plasma environment coupled with the atmosphere, utilizing the advantages of the ground-based and satellite observations.

Dr. Veronika Barta
Dr. Christina Arras
Dr. Jaroslav Urbar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • ground-based and satellite observations
  • GNSS/Lidar/SAR/Microwave radiometer
  • solar–terrestrial coupling processes
  • troposphere–ionosphere coupling
  • geospheric storms
  • ionospheric physics
  • space weather
  • model comparison with observations

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:


28 pages, 5309 KiB  
Evaluation of MAX-DOAS Profile Retrievals under Different Vertical Resolutions of Aerosol and NO2 Profiles and Elevation Angles
Remote Sens. 2023, 15(22), 5431; - 20 Nov 2023
Viewed by 356
In the Multi-Axis Differential Absorption Spectroscopy (MAX-DOAS) trace gas and aerosol profile inversion algorithm, the vertical resolution and the observation information obtained through a series of continuous observations with multiple elevation angles (EAs) can affect the accuracy of an aerosol profile, thus further [...] Read more.
In the Multi-Axis Differential Absorption Spectroscopy (MAX-DOAS) trace gas and aerosol profile inversion algorithm, the vertical resolution and the observation information obtained through a series of continuous observations with multiple elevation angles (EAs) can affect the accuracy of an aerosol profile, thus further affecting the results of the gas profile. Therefore, this study examined the effect of the vertical resolution of an aerosol profile and EAs on the NO2 profile retrieval by combining simulations and measurements. Aerosol profiles were retrieved from MAX-DOAS observations and co-observed using light detection and ranging (Lidar). Three aerosol profile shapes (Boltzmann, Gaussian, and exponential) with vertical resolutions of 100 and 200 m were used in the atmospheric radiative transfer model. Firstly, the effect of the vertical resolution of the input aerosol profile on the retrieved aerosol profile with a resolution of 200 m was studied. The retrieved aerosol profiles from the two vertical resolution aerosol profiles as input were similar. The aerosol profile retrieved from a 100 m resolution profile as input was slightly overestimated compared to the input value, whereas that from a 200 m resolution input was slightly underestimated. The relative deviation of the aerosol profile retrieved from the 100 m resolution as input was higher than that of the 200 m. MAX-DOAS observations in Hefei city on 4 September 2020 were selected to verify the simulation results. The aerosol profiles retrieved from the oxygen collision complex (O4) differential slant column density derived from MAX-DOAS observations and Lidar simulation were compared with the input Lidar aerosol profiles. The correlation between the retrieved and input aerosol profiles was high, with a correlation coefficient R > 0.99. The aerosol profiles retrieved from the Lidar profile at 100 and 200 m resolutions as input closely matched the Lidar aerosol profiles, consistent with the simulation result. However, aerosol profiles retrieved from MAX-DOAS measurements differed from the Lidar profiles due to the influence of the averaging kernel matrix smoothing, the different location and viewing geometry, and uncertainties associated with the Lidar profiles. Next, NO2 profiles of different vertical resolutions were used as input profiles to retrieve the NO2 profiles under a single aerosol profile scenario. The effect of the vertical resolution on the retrieval of NO2 profiles was found to be less significant compared to aerosol retrievals. Using the Lidar aerosol profile as the a priori aerosol information had little effect on NO2 profile retrieval. Additionally, the retrieved aerosol profiles and aerosol optical depths varied under different EAs. Ten EAs (i.e., 1, 2, 3, 4, 5, 6, 8, 15, 30, and 90°) were found to obtain more information from observations. Full article
Show Figures

Figure 1

Back to TopTop