Remote Sensing Technologies for the Analysis and Modeling of Atmospheric Events

Dear Colleagues,

Since the beginning of the "remote sensing era", the potential of environmental remote sensing, both satellite and ground-based, has been recognized as a key factor to advance the knowledge in the study of atmospheric science. Remote sensing has proved useful in bridging one of the main limits of investigation and application, that is, the lack of observations on the ground and at upper levels, at synoptic scale and with high spatial and temporal resolution. It also limits the impact of “observational holes” over the sea and remote areas of the planet, as well as the heterogeneity of some synoptic analyses. Among other remote sensing tools, ground-based radars have given a strong boost to the knowledge of convective dynamics and precipitation events, as well as the implementation of new forecasting and warning systems—particularly for severe and extreme weather events. From the satellite standpoint, the near future advent of cube-sat constellations will improve the time sampling of the most severe meteorological events, thus allowing more and more reliable assimilation into weather prediction models.

Satellite and ground-based radar remote sensing have become fundamental for the study of the physics of the sea and the atmosphere, but have also provided important aid to observation, nowcasting and warning systems and forecasting using numerical data assimilation techniques, with significant socio-economic repercussions guaranteed by their impact on the predictability of numerical models and the physical knowledge of severe and extreme events.

This Special Issue aims to document the most recent progress in the following areas (not an exhaustive list):

• The observation and study of atmospheric events, marine dynamics and storms, as well as air–sea and air–land interface, from short-term to inter-annual timescales, through the use of remote sensing technologies;
• The observation and analysis, through SAR data, of wind speed and direction, humidity, temperature and sea surface temperature;
• Cloud and hydro-meteor analysis in extreme atmospheric events, using current satellite platforms  (e.g., GPM, Cloudsat) and ground-based  stations (weather/cloud radars, gauges, disdrometers);
• Implementation and data assimilation (3D-Var, 4D-Var, RUC, etc.) of satellite (surface and upper layers) and radar data in numerical models and their impact on atmospheric and ocean predictability;
• The use of satellite and radar data for the investigation of extreme atmospheric events for curiosity-driven and/or air safety studies.

Dr. Antonio Ricchi
Prof. Dr. Rossella Ferretti
Prof. Dr. Frank Silvio Marzano
Dr. Mario Montopoli
Guest Editors

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. 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 2700 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.

• observation and study of atmospheric events
• short-term to inter-annual timescale analysis
• remote sensing in extreme events
• observation and analysis through SAR data
• data assimilation
• numerical modelling validation
• cloud and hydro-meteor analysis
• remote sensing technologies
• ground-based radars