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Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa and Fernando Morgado-Dias
Wind forecasting, which is essential for numerous services and safety, has significantly improved in accuracy due to machine learning advancements. This study reviews 23 articles from 1983 to 2023 on machine learning for wind speed and direction nowcasti...
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Marco-Michael Temme, Olga Gluchshenko, Lennard Nöhren, Matthias Kleinert, Oliver Ohneiser, Kathleen Muth, Heiko Ehr, Niklas Groß, Annette Temme, Martina Lagasio, Massimo Milelli, Vincenzo Mazzarella, Antonio Parodi, Eugenio Realini, Stefano Federico, Rosa Claudia Torcasio, Markus Kerschbaum, Laura Esbrí, Maria Carmen Llasat, Tomeu Rigo and Riccardo Biondiadd Show full author list remove Hide full author list
In the H2020 project ?Satellite-borne and INsitu Observations to Predict The Initiation of Convection for ATM? (SINOPTICA), an air traffic controller support system was extended to organize approaching traffic even under severe weather conditions. During...
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Marino Marrocu and Luca Massidda
Rainfall forecasting plays a key role in mitigating environmental risks in urban areas, which are subject to increasing hydrogeological risk due to transformations in the urban landscape. We present a new technique for probabilistic precipitation nowcast...
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Marius Marinescu, Alberto Olivares, Ernesto Staffetti and Junzi Sun
This work addresses the problem of vertical wind profile online estimation at a given location. Specifically, the north and east components of the wind are continuously estimated as functions of time and altitude at two waypoints used for landing on the ...
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Kaiyang Wang, Lingrong Kong, Zixin Yang, Prateek Singh, Fangyu Guo, Yunqing Xu, Xiaonan Tang and Jianli Hao
This study explores the quality of data produced by Global Precipitation Measurement (GPM) and the potential of GPM for real-time short-term nowcasting using MATLAB and the Short-Term Ensemble Prediction System (STEPS). Precipitation data obtained by rai...
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Marino Marrocu and Luca Massidda
In this article, a nowcasting technique for meteorological radar images based on a generative neural network is presented. This technique?s performance is compared with state-of-the-art optical flow procedures. Both methods have been validated using a pu...
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Federico Mothes
The avoidance of adverse weather is an inevitable safety-relevant task in aviation. Automated avoidance can help to improve safety and reduce costs in manned and unmanned aviation. For this purpose, a straightforward trajectory planner for a single-sourc...
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Jingyin Tang and Corene Matyas
Accurate observational data and reliable prediction models are both essential to improve the quality of precipitation forecasts. The spiraling trajectories of air parcels within a tropical cyclone (TC) coupled with the large sizes of these systems brings...
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Zizang Yang, Lianyuan Zheng, Phillip Richardson, Edward Myers and Aijun Zhang
NOAA?s National Ocean Service is upgrading three existing northern Gulf of Mexico (GOM) operational nowcast/forecast systems (OFS) by integrating them into one single system (INGOFS) and developing additional domain coverage to encompass the lower Missis...
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Wang-chun Woo and Wai-kin Wong
Hong Kong Observatory has been operating an in-house developed rainfall nowcasting system called ?Short-range Warning of Intense Rainstorms in Localized Systems (SWIRLS)? to support rainstorm warning and rainfall nowcasting services. A crucial step in ra...
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