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Special Issue "Radiative Transfer Models of Atmospheric and Cloud Properties"
A special issue of Atmosphere (ISSN 2073-4433).
Deadline for manuscript submissions: 31 December 2019.
Met Office , Foundation and Weather Science, Exeter, UK
Interests: atmospheric radiative transfer; satellite; airborne and ground-based remote sensing; retrieval of atmospheric and surface properties; electromagnetic scattering theory; cirrus; operational satellite data assimilation; numerical methods; big data; machine learning techniques
Versatile state-of-the-art atmospheric radiative transfer models are of paramount importance in the research of the effect of atmospheric greenhouse gases, clouds, and aerosols in climate simulations. These radiative transfer models must make use of the latest available information on gaseous absorption properties as well as on the optical properties of cloud and aerosol particles. Numerical weather prediction and climate models require accurate and fast radiative transfer codes for the simulation of vertical profiles of atmospheric heating/cooling rates. Another area with ever increasing demand on the radiative transfer codes is the assimilation of satellite data with new missions like the polar-orbiting IASI-NG, and the geostationary MTG-IRS, to be launched in a couple of years. Future missions will further extend the range of the electromagnetic spectrum that is monitored from space. The sub-millimetre and far-infrared part of the spectrum promise more information on cirrus clouds in particular. Fast radiative transfer models are only beginning to make use of dimensionality reduction and machine learning techniques. This is equally true for the treatment of the inverse problem in remote sensing and the analysis of information content. Clouds remain difficult to model. Studies that consider the importance of 3D effects, polarization, and cloud overlap, as well as schemes that can model these effects fast while remaining sufficiently accurate, are therefore also welcome.
Dr. Stephan Havemann
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 papers will be 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 1400 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.
- Radiative transfer
- Atmospheric greenhouse gases and climate
- 3D cloudy radiative transfer
- Approximate treatments of clouds including overlap
- Polarized radiative transfer of clouds and surfaces
- Fast forward models
- Dimensionality reduction
- Machine learning
- Satellite, airborne, and ground-based remote sensing
- Inverse problems in remote sensing
- New satellite missions