Transformer-based nowcasting of radar composites from satellite images for severe weather

arXiv:2310.19515v2 Announce Type: replace-cross
Abstract: Weather radar data are critical for nowcasting and an integral component of numerical weather prediction models. While weather radar data provide valuable information at high resolution, their ground-based nature limits their availability, which impedes large-scale applications. In contrast, meteorological satellites cover larger domains but with coarser resolution. However, with the rapid advancements in data-driven methodologies and modern sensors aboard geostationary satellites, new opportunities are emerging to bridge the gap between ground- and space-based observations, ultimately …

abstract applications arxiv availability contrast cs.cv cs.lg data domains eess.iv images information integral nature nowcasting numerical numerical weather prediction physics.ao-ph prediction prediction models radar satellite satellite images satellites scale transformer type weather weather prediction