Surface–Atmosphere Exchange—Micro-Scales to Climate Scales
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biometeorology".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 234
Special Issue Editors
Interests: aerosol and cloud particle detection systems; cloud microphysics; cloud-aerosol interactions; biometeorology; surface atmosphere exchange; micrometeorology
Special Issues, Collections and Topics in MDPI journals
Interests: sensors for discriminating aerosols and bioaerosols; AI algorithms for biogenic aerosol detection and analysis; air quality and pollution; cloud microphysics; atmospheric dispersion of aerosol pollutants and dusts
Special Issue Information
Dear Colleagues,
Surface–atmosphere exchange is now increasingly focused on bio-meteorological interactions, which represent the study of how the biosphere, including both natural and humanmade ecosystems, interacts with the atmosphere through the surface–atmosphere exchange of energy, gases, and particles on micro- and regional scales. Increasingly, it has been realized that the biosphere is a critical component in the Earth’s climate system through processes of bio-deposition and emission interactions involving climatically important biogenic gases and particles in response to evapotranspiration changes. Thus, biospheric processes are now a common feature of regional and climate models required to accurately predict both past and future ecosystem response to climate change. This has motivated researchers to develop measurement and computer modeling techniques to improve our understanding of biosphere atmospheric exchange and its role in local as well as global chemical cycling. The study of surface–atmosphere exchange and biometeorology requires a significant multidisciplinary approach using new technological developments in real-time aerosol composition and biological aerosol detection and quantification using optoelectronic techniques coupled with neural network–AI algorithms, to better understand biogeochemistry, ecology, co-emissions of anthropogenic and natural biogenic environmental pollution, and biogenic agricultural emission patterns.
Prof. Dr. Martin Gallagher
Dr. Ian Crawford
Guest Editors
Manuscript Submission Information
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Keywords
- biometeorology
- terrestrial bioaerosols
- ecosystem health
- urban bioaerosol dispersion
- modeling bioparticle emission
- using neural network analysis to discriminate airborne biogenic aerosols
