Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data

arXiv:2404.08325v1 Announce Type: cross
Abstract: Deep neural networks (DNNs) have been successfully applied to earth observation (EO) data and opened new research avenues. Despite the theoretical and practical advances of these techniques, DNNs are still considered black box tools and by default are designed to give point predictions. However, the majority of EO applications demand reliable uncertainty estimates that can support practitioners in critical decision making tasks. This work provides a theoretical and quantitative comparison of existing uncertainty quantification methods …

abstract advances arxiv black box box cs.lg data earth earth observation however networks neural networks observation physics.ao-ph practical predictions research satellite speed stat.ap tools type uncertainty wind