4 papers
Distilling deep optical flow stereo methods to retrieve dense three-dimensional wind fields
Thomas J. Vandal, Dong L. Wu, James L. Carr +5
Geostationary atmospheric motion vectors (AMVs) provide the dense horizontal wind vectors (u,v) and heights ingested into data assimilation systems. Traditional AMVs track features…
Intercomparison of Machine Learning Algorithms for Remote Sensing-based In-season Crop Mapping
August Posch, Jitendra Kumar, Forrest M. Hoffman +1
In-season crop type mapping is critical for food security in the face of increasingly extreme climate-related threats to crops. Currently, the USDA Cropland Data Layer provides cro…
The Influence of Ridership Weighting on Targeting and Recovery Strategies for Urban Rail Rapid Transit Systems
Aran Chakraborty, Yushi Tsukimoto, August Posch +2
The resilience of urban rapid transit systems (URTs) to a rapidly evolving threat space is of much concern. Extreme rainfall events are both intensifying and growing more frequent…
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting
Puja Das, August Posch, Nathan Barber +6
Precipitation nowcasting, critical for flood emergency and river management, has remained challenging for decades, although recent developments in deep generative modeling (DGM) su…