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Special Issue "Remote Sensing Applications for Synoptic and Mesoscale Dynamics and Forecast"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 15 January 2024 | Viewed by 544

Special Issue Editors

School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
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
Dr. Zhe Zhang
E-Mail Website
Guest Editor
National Center for Atmospheric Research, Boulder, CO 80303, USA
Interests: land surface model; regional climate model; land-atmosphere interaction; agriculture; irrigation; groundwater
Special Issues, Collections and Topics in MDPI journals
Dr. Hongli Wang
E-Mail Website
Guest Editor
National Oceanic and Atmospheric Administration, Washington, DC, USA
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
School of Atmospheric Science, Sun Yat-Sen University, Zhuhai 519082, China
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
Prof. Dr. Lili Lei
E-Mail Website
Guest Editor
School of Atmospheric Sciences, Nanjing University, Nanjing 210063, China
Interests: data assimilation; numerical weather prediction; atmospheric predictability
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 Geomatics.

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. 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 2700 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

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

Published Papers (1 paper)

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Review

22 pages, 14370 KiB  
Review
Radar Characteristics and Causal Analysis of Two Consecutive Tornado Events Associated with Heavy Precipitation during the Mei-Yu Season
Remote Sens. 2023, 15(23), 5470; https://doi.org/10.3390/rs15235470 - 23 Nov 2023
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Abstract
This paper comprehensively analyzed two consecutive tornado events associated with heavy precipitation during the Mei-yu season (a period of continuous rainy weather that occurs in the middle and lower reaches of the Yangtze River in China from mid-June to mid-July each year) and [...] Read more.
This paper comprehensively analyzed two consecutive tornado events associated with heavy precipitation during the Mei-yu season (a period of continuous rainy weather that occurs in the middle and lower reaches of the Yangtze River in China from mid-June to mid-July each year) and detailed the formation and development process of the tornadoes using Doppler weather radar, wind profiler radar, ERA5 reanalysis data, ground automatic station data and other multi-source data. The results showed that: (1) Small-scale vortices were triggered and developed during the eastward movement of the low vortex, forming two tornadoes successively on the eastern section of the Mei-yu front. (2) The presence of a gap on the front side of the reflectivity factor profile indicated that strong incoming airflow entered the updraft. Mesocyclones were detected with decreasing heights and increasing shear strengths. The bottom height of the tornado vortex signature (TVS) dropped to 0.7 km, and the shear value increased to 55.4 × 10−3 s−1. Tornado debris signatures (TDSs) could be seen with a low cross-correlation coefficient (CC) value area of 0.85–0.9 in the mesocyclone. The difference between the lowest-level difference velocity (LLDV) and the maximum difference velocity (MXDV) reached the largest value when a tornado occurred. (3) The continuously enhanced low-level jet propagated downward to form a super-low-level jet, and the strong wind direction and wind speed convergence in the boundary layer created a warm, moist and unstable atmosphere in Suzhou. With the entrainment of dry air, the northwest dry jet and the southeast moist jet stimulated the formation of a miniature supercell. (4) The low-level vertical wind shear of 0–1 km increased significantly upon tornado occurrence, which was more conducive to the formation and intensification of horizontal vorticity tubes. Encountering updrafts and downdrafts, the vorticity tubes might have been stretched and intensified. The first lightning jumps appeared 15 min and 66 min earlier than the Kunshan Bacheng tornado and the Taicang Liuhe tornado. The Liuhe tornado occurred during the stage when the lightning frequency reached its peak and then fell back. Full article
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