Atmospheric Composition Modeling
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (31 July 2018) | Viewed by 6926
Special Issue Editor
Interests: model development; verification and comparison with measurements; data assimilation; statistical methodology for model validation; analysis of the measurement data; inverse and adjoint dispersion modeling; computer experiments
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Numerical modelling of atmospheric composition is an indispensable step in understanding the processes and governing factors that control the state and evolution of atmospheric composition from local to global scales. The impact of atmospheric composition on human health (air quality) and climate forcing by aerosols and reactive gases (short-lived climate forcers) are among the fastest-growing areas of atmospheric research. The interplay of the scales and troposphere-stratosphere interconnections are shown to have substantial impact across the globe. Recognition of air quality as a cancer risk factor gave a strong push towards development of air quality-related forecasting and assessment services. Both retrospective analysis of the composition and, especially, its forecasting require assimilation of direct and indirect observations of the composition and radiative effects. The data assimilation technology, initially based on the approaches developed for meteorology, is gradually shifting to hybrid methods, which are not limited with the model state assimilation but can adjust, e.g., the emission fluxes. Such developments, together with increasing resolution and complexity of the systems raised the topic of emission modelling. Such models are typically used for sea salt and desert dust, as well as for biogenic volatile compounds and primary aerosols. Their next step of development includes dynamic emission calculations for many anthropogenic sources, thus reflecting the impact of weather on human activities. Such models are often based on remote-sensing information, such as the hot-spot data used for computing the emission from biomass burning, and the vegetation state observations used for biogenic emission models.
Manuscripts related to all aspects of modelling of atmospheric composition are welcome to the Special Issue, including advances in modelling technology, emission modelling, model evaluation and data assimilation, as well as application to real-life cases.
Prof. Mikhail Sofiev
Guest Editor
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.
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Keywords
- chemistry transport modelling
- emission models
- data assimilation
- model evaluation
- tropospheric chemistry
- stratospheric chemistry
- aerosol formation
- inverse modelling
- air quality forecasting
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