Typhoon/Hurricane Dynamics and Prediction (2nd Edition)
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 12 March 2025 | Viewed by 5484
Special Issue Editors
Interests: mesoscale modeling; typhoon dynamics and modeling; GNSS RO data assimilation
Special Issues, Collections and Topics in MDPI journals
Interests: GNSS RO; data assimilation; numerical model prediction on severe weather
Special Issues, Collections and Topics in MDPI journals
Interests: data assimilation; radar meteorology; severe weather; quantitative precipitation forecast
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is the second edition in a series of publications dedicated to “Typhoon/Hurricane Dynamics and Prediction” (https://www.mdpi.com/journal/atmosphere/special_issues/typhoon_hurricane_prediction).
The advancement of data assimilation has greatly enhanced the forecast skill of tropical cyclone (TC) prediction, mostly relying on the effective assimilation of remote sensing data. In particular, the recent attention paid to radar data assimilation, either regarding the measurement type (polarimetric or non-polarimetric) or assimilation strategy, has helped to further enhance our understanding of the internal structures of TCs, as well as the convective processes intimately influencing the predictability and sensitivity of specific TC forecasts. On the other hand, satellite data that provide significant coverage over entire TCs and their surrounding environment offer good prospects for the improvement of the synoptic-scale condition that largely controls the track of TCs over vast oceans. With a global coverage, the vertical high-resolution soundings of GNSS radio occultation (RO) measurements are able to elucidate the dim area in which few observations associated with the large-scale atmosphere of embedded TCs are retrievable. Recent data assimilation with GNSS RO observations (e.g., from FORMOTSAT-3 and FORMOSAT-7) has proven very encouraging, and is able to better predict the track and intensity of TCs. The multi-utilization of various remote sensing data, including satellite radiance data, has been essential to determining the optimal impacts of observations on typhoon/hurricane forecasts. However, these are not being adequately pursued at present due to limited resources and great challenges arising in the application of advanced data assimilation techniques employing ensemble Kalman filters and variational methods in various hybrid systems. However, we are anticipating great improvements in forecast skill due to recent advancements in data assimilation, and therefore a better in-depth understanding of typhoon/hurricane dynamics. We especially encourage potential contributors to present works addressing model initialization near topographical areas in which convective processes associated with TCs are significantly modulated, and thus those that increase the dynamic complexity of TC track behaviors.
Dr. Ching-Yuang Huang
Dr. Shu-Ya Chen
Dr. Kao-Shen Chung
Guest Editors
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Keywords
- tropical cyclone
- data assimilation
- remote sensing
- satellite radiance data
- radar data
- GNSS radio occultation
- ensemble Kalman filters
- hybrid systems
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