Remote Sensing Applications for Synoptic and Mesoscale Dynamics and Forecast
A special issue of Geomatics (ISSN 2673-7418).
Deadline for manuscript submissions: 31 August 2024 | Viewed by 888
Special Issue Editors
Interests: satellite and radar remote sensing; remote sensing data utilization; data assimilation; numerical weather prediction; nowcasting using machine learning methods
Special Issues, Collections and Topics in MDPI journals
Interests: land surface model; regional climate model; land-atmosphere interaction; agriculture; irrigation; groundwater
Special Issues, Collections and Topics in MDPI journals
Interests: 3/4D variational/ensemble data assimilation techniques; targeted data, radar and satellite observation assimilation; adjoint and ensemble-based study for adaptive observations and forecast
Special Issues, Collections and Topics in MDPI journals
Interests: mesoscale meteorology; severe weather; low level jet; gravity waves and cold pool; diurnal cycle of rainfall; sea breeze; mesoscale numerical modelling and forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: data assimilation; numerical weather prediction; atmospheric predictability
Special Issues, Collections and Topics in MDPI journals
Interests: atmospheric predictability; data assimilation; ensemble forecasting
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
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Keywords
- synoptic and mesoscale
- dynamics
- numerical weather prediction
- data assimilation
- atmospheric predictability
- machine learning
- gravity waves and cold pool
- climate model
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