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Special Issue "Frontiers in Atmospheric Remote Sensing and Modelling"
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 21 July 2023 | Viewed by 5155
Special Issue Editors
Interests: inversion of atmospheric aerosol characteristics; air quality remote sensing; radiative transfer modeling; remote sensing for particle nucleation; air pollution assimilation and forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: interaction between air pollution and weather/climate change; air quality simulation; air quality and health risks
Interests: air pollution modeling; satellite remote sensing; geospatial big data and machine learning; air quality exposure and health assessment
Special Issue Information
In the context of environmental deterioration and global warming, scientific evidence to aid in a comprehensive understanding of how physical and chemical atmospheric changes and interactions with anthropogenic activities over the past few decades is the basis for improving our living environment, reducing disaster and disease, and supporting environmental management. The advances in remote sensing and modeling not only provide scientific insights to identify changes in meteorological parameters and atmospheric compositions, but also to investigate the underlying driving forces and factors for these dynamics.
Satellite remote sensing has evolved from having a single purpose to having comprehensive detection capabilities over the past few decades. With the support of advanced technologies such as hyperspectrum and polarization, it can detect basic meteorological parameters and identify the characteristics of aerosols, pollution gases, and greenhouse gases (GHGs). As a result, it has been widely used to observe various atmospheric elements.
Modelling is another essential technical branch in the field of atmosphere research. We use models to forecast the weather system and air quality. Moreover, model diagnostics also help people understand air pollution and GHG emissions, transport, chemical production, and deposition. However, considering the lack of knowledge in atmospheric physical/chemical schemes, it is necessary to determine the constraints of models that use satellite/observed data. For example, more accurate surface parameters, air pollution emissions, air pollution components, and cloud parameters could improve model results and support air pollution/GHG control policies.
The improvement of remote sensing data is expected to be helpful in constraining global and regional atmospheric models. Satellite remote sensing data can make up for the insufficiency of ground-based observations at both the spatial and temporal scales. However, although satellite remote sensing technology and models have achieved become better developed in recent years, it is not clear if remote sensing data are being used in all possible tasks. This Special Issue aims to present more detailed information about the current and planned applications for atmosphere remote sensing and modelling to promote the combination of the two fields.
We seek original research papers from frontiers in atmospheric remote sensing and modelling as well as review papers closely following international hotspots based on remote sensing and modelling techniques, mainly including, but not limited to:
- The development of remote sensing algorithms;
- The application of satellite products;
- The assimilation of meteorological/vegetation remote sensing data;
- The comparison and validation of satellite, ground observations, and simulations;
- Assimilation technology for remote sensing;
- The observation and prediction of air quality/GHGs;
- Climate state analysis based on satellite and simulation;
- The impact of the COVID-19 pandemic on air pollution/GHGs;
- The evaluation of global/regional modelling;
- Atmospheric composition reanalysis data;
- Air pollution assessment based on satellite and simulation.
Dr. Ying Zhang
Dr. Sijia Lou
Dr. Qingqing He
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com 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. Atmosphere is an international peer-reviewed open access monthly 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 2000 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.
- remote sensing
- assimilation technology
- air quality
- weather and climate change
- geospatial and big data analysis