New Insights from Wind Remote Sensing

Dear Colleagues,

The determination of the complex dynamics of the atmosphere has become unprecedentedly crucial in understanding and mitigating climate change, protecting private and public assets from natural disasters, and improving numerical weather predictions. In this regard, advanced remote sensing systems enable the inherently heterogeneous and unsteady scalar and vector fields of atmospheric quantities, such as temperature, wind velocity, and gas concentration, to be probed, and a better understanding of the underlying physical mechanisms to be provided. The great complexity and novelty of remote sensing systems, however, calls for a careful investigation of their potential, limitations, and related best practices.

This Special Issue aims to collect recent research in remote sensing for wind detection. The proposed studies should be novel from either the experimental or the physics standpoint.

In the first case, the work should focus on advancements in experimental methods, such as novel techniques for reconstructing wind fields, new technologies, and enhanced quality control and uncertainty quantification. Theoretical, experimental, or numerical evidence of the benefits and limitations of the proposed solutions should also be provided.

In the second case, existing or novel experimental techniques should be used to investigate unexplored aspects of wind physics and shed light on phenomena relevant to atmospheric science, wind energy, and/or climate change mitigation.

The scope of this Special Issue includes, but is not limited to, the following themes:

• Studies of microclimate through novel remote sensing strategies
• Global and meso-scale wind detection through satellite imaging
• Use of nacelle-mounted, ground-based, or floating lidars and radars for wind energy
• Wind resource assessment through remote sensing
• Design of optimal lidar/radar scanning strategies
• Retrieval of temperature, moisture, gas concentration through remote sensing relevant for wind
• Uncertainty quantification of wind reconstruction techniques
• Error analysis of remote sensing based on virtual experiments

Dr. Stefano Letizia
Dr. Peter Brugger
Dr. Matteo Puccioni
Dr. Sonia Wharton
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.

• wind lidars
• wind radars
• satellite imaging of wind fields
• virtual remote sensing
• uncertainty quantification of remote sensing
• wind resource assessment
• thermodynamic profiling for wind energy