Remote Sensing Applications for Synoptic and Mesoscale Dynamics and Forecast

Dear Colleagues,

Synoptic and mesoscale dynamics and forecast is a crucial field in modern meteorology. Synoptic-scale weather systems are large systems that span vast areas, typically thousands of kilometers in horizontal extent, while mesoscale systems are much smaller, typically several hundred kilometers in size. Understanding the behavior of these systems is essential for predicting weather patterns and improving weather forecasts.

Research into synoptic and mesoscale dynamics involves studying how the atmosphere responds to both large-scale and small-scale processes. Scientists use a range of observational tools to study the atmosphere, including radiosondes, radar, satellite imagery, and aircraft measurements. These observations provide valuable data on atmospheric temperature, humidity, wind, and precipitation, which can help to better understand atmospheric processes. Additionally, numerical models are also used to simulate atmospheric processes, using mathematical equations to represent changes in atmospheric variables over time and space. These models enable researchers to gain insights into the behavior of synoptic and mesoscale systems and to test different hypotheses.

Remote sensing works by providing scientists with valuable atmospheric data that can help to understand the weather’s physical properties and phenomena and improve forecasting and warning systems. Remote sensing applications play a significant role in detecting and confirming the onset of extreme weather conditions, such as tornadoes, hurricanes and thunderstorms. Meteorological observations obtained using remote sensing techniques facilitate the real-time tracking and modeling of such weather conditions. These applications provide valuable information that improves forecasting accuracy and early warning system.

This Special Issue encompasses a wide range of topics in synoptic and mesoscale dynamics and forecast. These include, but are not limited to, remote sensing technology, research of synoptic and mesoscale dynamics, numerical weather prediction, data assimilation of radar and satellite data, atmospheric monitoring using remote platforms, analyses and forecasts of weather events utilizing remote sensing data, and artificial intelligence to optimize remote sensing measurements, etc.

Original research papers and/or review papers that cover the developments or applications of remote sensing technology or data for improving the study of synoptic and mesoscale dynamics and forecast are highly encouraged as valuable contributions.

You may choose our Joint Special Issue in Remote Sensing.

Dr. Guangxin He
Dr. Zhe Zhang
Dr. Hongli Wang
Prof. Dr. Yu Du
Prof. Dr. Lili Lei
Dr. Jie Feng
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. Geomatics is an international peer-reviewed open access quarterly 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 1000 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.

• synoptic and mesoscale
• dynamics
• numerical weather prediction
• data assimilation
• atmospheric predictability
• machine learning
• gravity waves and cold pool
• climate model