Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Satellite-Derived Wind Observations"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 July 2019).
Tropospheric winds derived from meteorological satellites (atmospheric motion vectors, or AMVs) are an important contribution to the global observing system. As observing needs increase due to societal growth and sophistication of numerical models and data assimilation systems that use the observations, it is imperative for satellite data providers to advance the products. This Special issue of Remote Sensing will highlight how remote sensing from meteorological satellites is greatly contributing to the global tropospheric wind observing system and impacting meteorological applications/forecasts. Recent advancements are a result of progress made in terms of sensors’ radiometric, spatial, and temporal resolutions, together with new data processing methods, products, and applications.
The 14th International Winds Workshop (IWW14) was recently hosted at Jeju City, South Korea. This series of meetings brings together global AMV providers, researchers and users to discuss key scientific issues and developments. Intercomparison studies and collaborative projects are enabling a communal advancement of AMV observations and their use around the world. This special issue will highlight the proceedings of IWW14 but also the start of a new era for AMVs extracted from the advanced generation of geostationary satellites (Himawari, GOES-R, FY4 and preparation of GeoKOMPSAT and MTG-FCI). The high spatiotemporal resolution capabilities are enabling an increase in AMV production and better-quality products. Optimizing the use of these new AMV capabilities in global NWP, regional NWP and nowcasting is a topic of current research studies.
In addition to traditional AMVs, new and improved methods to extract ocean surface vector winds and wind profiles from Aeolus and IR sounders data (AIRS, IASI) are promising, and we encourage the publication of initial results in this dedicated volume.
We are inviting submissions including, but not limited to:
- high spatial and high temporal resolution AMV observations,
- novel AMV height assignment methods,
- synergetic use of multi-mission/satellite imagery to produce AMVs,
- new tracking techniques,
- producer intercomparison studies,
- NWP assimilation and model impact studies,
- mesoscale and nowcasting applications,
- ocean surface vector wind retrievals,
- tropospheric wind profiles from space
Mr. Steve Wanzong
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 1800 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.
- Meteorological satellites
- Tropospheric winds
- Atmospheric motion vectors
- Meteorological applications
- Numerical weather prediction impacts