Publications
Madden, W.G., M. Qi, Y. Liu, and H.H. Chang (2025). “ensembleDownscaleR: R Package for Bayesian Ensemble Averaging of PM2.5 Geostatistical Downscalers.” Remote Sensing 17 (11): 1941. Full text
Ren, Y., C.R. Oxford, D. Zhang, et al. (2025). “Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements.” Nature Communications 16: 7010. Full text
Rosenberg, R.A., G. Keller, K.A. Shanks, et al. (2025). “Maintaining MAIA polarimetric and radiometric performance with routine on-board calibrator views.” Proceedings of SPIE 13611: 1361102. Full text
Shanks, K.A., et al. (2025). “Polarization ray-trace-based modeling using preflight characterization of the multiangle imager for aerosols (MAIA) satellite instrument.” Proceedings of SPIE 13615: 136150C. Full text
Zhang, H., J. Wang, N. Janechek, et al. (2025). “Development of UI-WRF-Chem (v1.0) for the MAIA satellite mission: case demonstration.” Geoscientific Model Development 18: 9061–9099. Full text
Liu, X., J.R. Turner, C.R. Oxford, et al. (2024). “Elemental characterization of ambient particulate matter for a globally distributed monitoring network: Methodology and implications.” ACS EST Air 1 (4): 283–293. Abstract
Anand, A., N.E. Touré, J. Bahino, et al. (2024). “Low-Cost Hourly Ambient Black Carbon Measurements at Multiple Cities in Africa.” Environmental Science & Technology 58 (28): 12575–12584. Full text
Li, C., J. Wang, H. Zhang, et al. (2024). “Improvement of surface PM2.5 diurnal variation simulations in East Africa for the MAIA satellite mission.” ACS EST Air 1 (4): 223–233. Full text
Jin, Z., Q. Pu, N. Janechek, et al. (2024). “A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty.” Remote Sensing of Environment 303: 113995. Full text
Averett, N. (2023). “Breaking New Ground: Space Agencies and Epidemiologists Partner Up on Particulates.” Environmental Health Perspectives 131 (3). Abstract
Nastan, A. (2022). “Eyeing Visibility from Space.” EM Magazine (Air & Waste Management Association), April 2022. Full text
Bruegge, C.J., A. Davis, T. Nagaty, et al. (2021). “Multi-Angle Imager for Aerosols (MAIA): spectral and radiometric calibration.” Proceedings of SPIE 11829: 118290T. Full text
Sandhu, J., B.E. Rheingans, E. Davis, et al. (2021). “Geometric calibration of the Multi-Angle Imager for Aerosols (MAIA).” Proceedings of SPIE 11829: 118290U. Full text
van Harten, G., A. Davis, D.J. Diner, et al. (2021). “Polarimetric calibration of the multi-angle imager for aerosols (MAIA).” Proceedings of SPIE 11858: 118580I. Full text
Rocheleau, J. (2021). “Using Satellite Data to Map Air Pollution and Improve Health.” Eos 102. Full text
Boland, S., and D. Diner (2021). “MAIA: Opportunities and Challenges Associated with a Small, Cost-Capped Satellite Mission.” The Bridge 51 (3): 51-58. Abstract
Diner, D.J., S.W. Boland, M. Brauer, et al. (2018). “Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA.” Journal of Applied Remote Sensing 12 (4): 042603. Abstract
Wu, L., H. Su, O.V. Kalashnikova, J.H. Jiang, C. Zhao, M.J. Garay, J.R. Campbell, and N. Yu (2017). “WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley.” Atmospheric Chemistry and Physics 17 (12): 7291-7309. Abstract
Liu, Y., and D.J. Diner (2017). “Multi-angle Imager for Aerosols: A satellite investigation to benefit public health.” Public Health Reports 132 (1): 14-17. Abstract
Furlow, B. (2016). “New generation of satellites will shed light on respiratory disease.” The Lancet 4 (9): 695-696. Abstract