Special Issue "Satellite Remote Sensing for Tropical Meteorology and Climatology"
Deadline for manuscript submissions: 31 July 2020.
Interests: spatial analysis of precipitation; tropical cyclones; geographic information systems; spatial metrics
Special Issues and Collections in MDPI journals
Data obtained from a variety of remote sensing platforms provide invaluable information about atmospheric processes as well as the interaction between the atmosphere, land, and water-covered areas. These data have increased our understanding of human interactions with the biophysical environment. Along multiple temporal scales, remote sensing is used to detect and monitor extreme meteorological events and datasets are becoming extensive enough to provide information on longer-term changes. The spatial resolution of remotely-sensed datasets has dramatically improved over time, allowing fine-scale atmospheric processes to be monitored globally. The tropics are home to a wide range of landforms that host the habitats of a vast quantity of species that are vulnerable to extreme weather events and the changing climate. In the tropics, remotely-sensed data have facilitated the tracking of cloud clusters that have improved our ability to predict extreme weather events such as tropical cyclones, and monitor atmospheric teleconnection-based activity associated with the El-Nino Southern Oscillation, Madden Julian Oscillation, Indian Ocean Dipole, and others. They also facilitate the monitoring of the spatial extent and severity of floods and droughts.
This Special Issue focuses on remotely-sensed datasets and the information they have revealed that has advanced the fields of tropical meteorology and climatology. A key focus is on processes that contribute to precipitation in the tropics across scales ranging from cloud microphysical properties and the distribution of water vapor, dust, and aerosols to well-organized precipitation systems such as tropical cyclones and the intertropical convergence zone. Other areas of emphasis include studies that improve research and forecast models including techniques to downscale precipitation or assimilation remotely sensed precipitation into numerical weather prediction models. Results from field campaigns undertaken in the tropics to collect data about the atmosphere and interactions with the sea and land surfaces can be included. Studies may compare observations across different platforms as well as use remotely-sensed datasets for model validation. Explorations of the impacts of extreme meteorological events on the biophysical environment are also welcome.
Dr. Corene Matyas
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 2000 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.
- Atmospheric processes occurring in the tropics
- Spatio-temporal analysis of rainfall
- Identification and tracking of cloud clusters
- Analysis of atmospheric particulates in the tropics
- Tropical cyclones
- Comparisons between observations and model output
- Comparisons of weather-related variables among different sensors and/or blended datasets
- Impacts of extreme weather events on the biophysical environment