J. Limbacher
Organization:
NASA Goddard Space Flight Center
Email:
Business Address:
Earth Science Division
Greenbelt MD 20771
20771
United StatesFirst Author Publications:
- Limbacher, J., et al. (2024), MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm, Atmos. Meas. Tech., 17, 471-498, doi:10.5194/amt-17-471-2024.
- Limbacher, J., R. Kahn, and J. Lee (2022), The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water, Atmos. Meas. Tech., 15, 6865-6887, doi:10.5194/amt-15-6865-2022.
- Limbacher, J., and R. Kahn (2019), Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters, Atmos. Meas. Tech., 12, 675-689, doi:10.5194/amt-12-675-2019.
- Limbacher, J., and R. Kahn (2017), Updated MISR dark water research aerosol retrieval algorithm – Part 1: Coupled 1.1 km ocean surface chlorophyll a retrievals with empirical calibration corrections, Atmos. Meas. Tech., 10, 1539-1555, doi:10.5194/amt-10-1539-2017.
- Limbacher, J., and R. A. Khan (2015), MISR empirical stray light corrections in high-contrast scenes, Atmos. Meas. Tech., 8, 2927-2943, doi:10.5194/amt-8-2927-2015.
- Limbacher, J., and R. Kahn (2015), MISR empirical stray light corrections in high-contrast scenes, Atmos. Meas. Tech., 8, 1-17, doi:10.5194/amt-8-1-2015.
- Limbacher, J., and R. A. Khan (2014), MISR research-aerosol-algorithm refinements for dark water retrievals, Atmos. Meas. Tech., 7, 3989-4007, doi:10.5194/amt-7-3989-2014.
Co-Authored Publications:
- Kahn, R., et al. (2024), Evolving Particles in the 2022 Hunga Tonga—Hunga Ha'apai Volcano Eruption Plume, J. Geophys. Res., 129, e2023JD039963, doi:10.1029/2023JD039963.
- Nelson, R. R., et al. (2023), Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters, Atmos. Meas. Tech., 16, 4947-4960, doi:10.5194/amt-16-4947-2023.
- Bian, Q., et al. (2022), Constraining Aerosol Phase Function Using Dual-View Geostationary Satellites, J. Geophys. Res..
- Bian, Q., et al. (2022), Constraining Aerosol Phase Function Using Dual-View Geostationary Satellites, J. Geophys. Res..
- Noyes, K. J., et al. (2022), Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging, doi:10.3390/rs12050769.
- Noyes, K. J., et al. (2022), Canadian and Alaskan Wildfire Smoke Particle Properties, Their Evolution, and Controlling Factors, Using Satellite Observations. Atm. Chem. Phys., 22, 10267-10290, doi:10.5194/acp-22-10267-2022.
- deSouza, P., et al. (2020), Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications, Atmos. Meas. Tech., 13, 5319-5334, doi:10.5194/amt-13-5319-2020.
- Garay, M., et al. (2020), Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product, Atmos. Meas. Tech., 13, 593-628, doi:10.5194/amt-13-593-2020.
- Noyes, K. J., et al. (2020), Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging, doi:10.3390/rs12050769.
- Friberg, M. D., et al. (2018), Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley, Atmos. Chem. Phys., 18, 12891-12913, doi:10.5194/acp-18-12891-2018.
- Petrenko, M., et al. (2017), Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model, J. Geophys. Res., 122, doi:10.1002/2017JD026693.
- Patadia, F., et al. (2013), Aerosol airmass type mapping over the Urban Mexico City region from space-based multi-angle imaging, Atmos. Chem. Phys., 13, 9525-9541, doi:10.5194/acp-13-9525-2013.
- Kahn, R., and J. Limbacher (2012), Eyjafjallajökull volcano plume particle-type characterization from space-based multi-angle imaging, Atmos. Chem. Phys., 12, 9459-9477, doi:10.5194/acp-12-9459-2012.