Web7 okt. 2024 · Meteorology Nowcasting and remote sensing Nowcasting and remote sensing Last updated Oct 10, 2024 Published Oct 07, 2024 The focus of this research and development area is to get the most out of the current and soon operationally available new satellite and radar data for the improvement of Nowcasting and Early Warning at SMHI. Web31 aug. 2024 · This post will show how deep learning (DL) methods can be used to generate atmospheric forecasts, using a newly published benchmark dataset ( Rasp et al. 2024). Future posts may refine the model used here and/or discuss the role of DL (“AI”) in mitigating climate change – and its implications – more globally.
[2009.11577] Cloud Cover Nowcasting with Deep Learning
WebPrevious studies in Catalonia (NE Iberian Peninsula) showed a direct relationship between the Lightning Jump (LJ) and severe weather, from the study of different events, occurring in the last few years in this region. This research goes a step beyond by studying the relationship between LJ and heavy rainfall, considering different criteria. It selects those … WebNowcasting in economics is the prediction of the very recent past, the present, and the very near future state of an economic indicator. The term is a portmanteau of "now" and … tine kremost
MetMalaysia: Nowcasting
Web17-21 July 2024, Madison, WI. 40th Conference on Radar Meteorology. 28 August–01 September 2024, Minneapolis, MN. 2024 Summer Community Meeting. 29-30 August 2024, Minneapolis, MN. 36th Conference on Hurricanes and Tropical Meteorology. 6-10 May 2024, Long Beach, CA. Meetings & Events Home. Upcoming Meetings. Web29 jun. 2024 · Royal Netherlands Meteorological Institute, De Bilt, The Netherlands. Search for more papers by this author. A. H. Weerts, ... We considered 1,533 rainfall events to evaluate the quality of five nowcasting methods. Nowcasts are better for longer-lasting rain storms with relatively low intensity, which typically occur in winter, ... WebRecently, many deep-learning techniques have been applied to various weather-related prediction tasks, including precipitation nowcasting (i.e., predicting precipitation levels and locations in the near future). Most existing deep-learning-based approaches for precipitation nowcasting, however, consider only radar and/or satellite images as inputs, and … tine kračun