SOURCE-LINKED INTELLIGENCE
PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer
Estimating the Planetary Boundary Layer Height (PBLH) from satellite observations is a challenging regression problem due to the indirect relationship between top-of-atmosphere radiances and near-surface atmospheric structure. Progress has been limited both by the lack of architectures capable of handling the multimodal, spatially incomplete nature of satellite overpasses, and by the scarcity of suitable datasets. In this paper, we build upon the large-scale dataset pairing MetOp radiances with ERA5 PBLH labels that we introduced in our previous work, making three contributions. First, we esta
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T15:33:02.000Z
First collected: 2026-09-24T08:22:30.429Z. This is not the publication date.