Advances in Signal Processing and Data Fusion Methods for Wind Field Retrieval and Secondary Product Development

A special issue of Atmosphere (ISSN 2073-4433).

Deadline for manuscript submissions: closed (1 February 2024) | Viewed by 136

Special Issue Editors


E-Mail Website
Guest Editor
College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China
Interests: weather radar signal processing; dual-polarization Doppler weather radar data analysis and processing; wind field retrieval
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
Interests: impact by turbulence parameters on New Particle Formation (NPF) event; the diurnal variation of solar radiation (PAR) and strong aerosol nucleation radiation and interaction with boundary layer
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China
Interests: meteorological satellite remote sensing signal processing; radar signal processing; Wind retrieval with ADS-B; artificial intelligence

Special Issue Information

Dear Colleagues,

Complete and accurate wind field structure and trends are essential for a wide range of meteorological applications, including diagnostic research studies, hazard warnings, nowcasting, and numerical forecasting. Wind field retrieval is currently based on the use of remote-sounding equipment such as weather radars, wind profilers, and Lidars, or in-site equipment such as anemometers and radiosondes. However, whether remote sounding with radars, or measuring with in-site equipment, there are still many problems that remain to be solved for radial wind speed detection and wind field retrieval, including the following:

(1)Weather radars can detect Doppler wind speed only for precipitation processes but Lidars are applied to clear-sky weather conditions; on the other hand, anemometers and radiosondes can measure wind velocity in all weather conditions but their detection ranges are limited. Thus, how to fully integrate the data of various equipment pieces to construct a large range of all-weather wind field is an important research point of wind field retrieval at present.

(2)Two-dimensional and three-dimensional wind field retrieval often involves the joint observation of multiple devices. Consequently, some problems arise, such as common coverage area evaluation for wind sounding sensors, layout argument of the wind detection equipment, and network optimization in joint observation with multiple radars or anemometers.

(3)Secondary development based on wind field is only rarely carried out; thus, secondary products of wind field and their applications in various industries are relatively rare.

According to the facts stated above, we invite manuscripts regarding advances in signal processing and data fusion methods for wind field retrieval and secondary product development. Relevant topics include, but are not limited to, the following:

  1. Wind field retrieval models and experimental verification.
  2. Data quality control for wind field retrieval.
  3. Geometry transform and network optimization for wind field retrieval based on multiple radars or in-site instruments.
  4. Application of multiple-source data fusion in wind field construction.
  5. Secondary product development and application based on the obtained two-dimensional or three-dimensional wind field.
  6. The interpolation, extrapolation and fitting algorithms for large-scale wind field construction.

Dr. Haijiang Wang
Dr. Hao Wu
Dr. Tao Liu
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. 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 2400 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.

Keywords

  • wind field retrieval
  • data quality control
  • network optimization
  • data fusion
  • secondary product development

Published Papers

There is no accepted submissions to this special issue at this moment.
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