Special Issue "Advances in Measurements and Modeling of the Earth’s Mineral Dust Source Regions"
Deadline for manuscript submissions: closed (30 June 2020).
Interests: applications of remote sensing in atmosphere; marine environment; vegetation and arid lands
Interests: Meteorlogy; Aerosols; Numerical Modelling
Interests: satellite remote sensing of clouds and aerosols; radiative transfer including polarization; machine learning techniques for satellite image feature classification; computer vision approaches for image feature tracking; multi-dimensional data visualization and analysis for ground-based and satellite systems; and the sensitivity of satellite retrievals to polarimetric information
Interests: : Modeling of aerosol optics; Light scattering by irregular particles; Remote sensing of aerosol optical properties
Special Issues and Collections in MDPI journals
Mineral dust emitted into the atmosphere by Aeolian processes is a major component of atmospheric aerosols. The net contribution of mineral dust to atmospheric warming or cooling depends on the mineralogy of dust particles, and initialization of Earth System Models (ESM) with the surface composition of dust source regions is required to forecast the state of the Earth’s dust cycle and impacts of dust on the Earth system, e.g. dust interaction with clouds and radiation, and dust effects on climate and air quality during the long range transport. ESM derive the mineralogy of airborne dust from the composition and spatial distribution of the soils exposed in dust source regions, and, consequently, ESM-based forecasts are sensitive to the soil maps used to initialize the models.
NASA recently announced a new Earth observing mission The Earth surface Mineral dust source InvesTigation (EMIT) to conduct comprehensive spectroscopic surveys of the surface mineralogy of arid dust source regions on the ~100m-scale resolution. EMIT proposed to provide a comprehensive inventory of key surface minerals available for dust emission and demonstrate the improvements in forecasting skill of ESM initialized with high-resolution mineralogical datasets.
This special issue aims in bring together expertise in the observation and modeling of the mineral dust cycle with a focus on observational and modeling studies of mineral dust source regions. Papers are invited of field and modeling studies of mineral dust source regions, models for the generation, emission, and radiative properties of mineral dust, and analyses of airborne and space-borne measurements of dust minerology and optics.
Prof. Dr. Hesham El-Askary
Dr. Slobodan Nickovic
Dr. Michael J. Garay
Dr. Olga Kalashnikova
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. 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 2200 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.
- Dust Sources
- Satellite Observations
- High resolution modeling
- Long range transport
- Physical, mineralogical and Optical properties
- Scattering Albedo