output
20122024
most citedHybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting

43 citations

9 papers

physics.ao-ph2024★ 43 cited

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…

cs.SI2024★ 1 cited

Effects of Antivaccine Tweets on COVID-19 Vaccinations, Cases, and Deaths

John Bollenbacher, Filippo Menczer, John Bryden

Despite the wide availability of COVID-19 vaccines in the United States and their effectiveness in reducing hospitalizations and mortality during the pandemic, a majority of Americ…

physics.soc-ph2024★ 27 cited

Equity Implications of Net-Zero Emissions: A Multi-Model Analysis of Energy Expenditures Across Income Classes Under Economy-Wide Deep Decarbonization Policies

John Bistlinea, Chikara Onda, Morgan Browning +13

With companies, states, and countries targeting net-zero emissions around midcentury, there are questions about how these targets alter household welfare and finances, including di…

eess.IV2022★ 25 cited

Utilizing geospatial data for assessing energy security: Mapping small solar home systems using unmanned aerial vehicles and deep learning

Simiao Ren, Jordan Malof, T. Robert Fetter +3

Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides p…

cs.CV2020★ 10 cited

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

Jeremy Irvin, Hao Sheng, Neel Ramachandran +7

Characterizing the processes leading to deforestation is critical to the development and implementation of targeted forest conservation and management policies. In this work, we de…

stat.CO2019★ 1 cited

Optimization of Survey Weights under a Large Number of Conflicting Constraints

Matthew R. Williams, Terrance D. Savitsky

In the analysis of survey data, sampling weights are needed for consistent estimation of the population. However, the original inverse probability weights from the survey sample de…