Publications

Synergistic neural forecasting of air pollution with stochastic sampling

Y Abeysinghe, MA Munir, S Baliah, R Sarafian, FS Khan, Y Rudich, ...

npj Clean Air 2 (1), 36

Detailed classification of marine shallow clouds with large cloud fraction using artificial intelligence

H Roth, T Dror, R Sarafian, G Dekel, O Altaratz, I Koren

EGU26

Learning neighborhood-scale cross-dependencies among air pollutants, meteorology and land cover using mobile sensing and transformers

D Nissenbaum, S Bagon, R Sarafian, CC Womack, O Sapir, SS Brown, ...

npj Clean Air 2 (1), 13

Deep learning applied to spaceborne SAR interferometry for detecting sinkhole-induced land subsidence along the Dead Sea

G Dekel, RN Nof, R Sarafian, Y Rudich

Remote Sensing 18 (2), 211

PollutionNet: Deep Learning-Based Estimation of Six Air Pollutants by GEMS Satellite Imagery

N Ofir, R Sarafian, G Dekel, Y Rudich

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

RadarGaugeNet: Radar-Rain-Gauge-Based AI Architecture for Real-Time Quantitative Precipitation Estimation

R Sarafian, M Barron, S Nathan, D Nissenbaum, E Vadislavsky, Y Levi, ...

IEEE Transactions on Geoscience and Remote Sensing 63, 1-15

Deriving ozone and PM pollution vertical profiles using lightweight, cost-effective sensors and deep learning

D Nissenbaum, R Sarafian, E Windwer, E Tas, CC Womack, SS Brown, ...

npj Climate and Atmospheric Science 8 (1), 282

Aircast: improving air pollution forecasting through multi-variable data alignment

V Nedungadi, MA Munir, M Rußwurm, R Sarafian, IN Athanasiadis, ...

arXiv preprint arXiv:2502.17919

Correction of CAMS PM10 Reanalysis Improves AI-Based Dust Event Forecast

R Sarafian, S Nathan, D Nissenbaum, S Khan, Y Rudich

Remote Sensing 17 (2), 222

Optimal-design domain-adaptation for exposure prediction in two-stage epidemiological studies

R Sarafian, I Kloog, JD Rosenblatt

Journal of Exposure Science & Environmental Epidemiology 33 (6), 963-970

Six types of dust events in Eastern Mediterranean identified using unsupervised machine-learning classification

D Nissenbaum, R Sarafian, Y Rudich, S Raveh-Rubin

Atmospheric Environment 309, 119902

Deep multi-task learning for early warnings of dust events implemented for the Middle East

R Sarafian, D Nissenbaum, S Raveh-Rubin, V Agrawal, Y Rudich

NPJ climate and atmospheric science 6 (1), 23

Deep multi-task learning for early warnings of dust events implemented for the Middle East. npj Climate and Atmospheric Science, 6 (1), 23

R Sarafian, D Nissenbaum, S Raveh-Rubin, V Agrawal, Y Rudich