Dave Diner

Wei, J., et al. (2024), Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

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.

Kahn, R.A., et al. (2022), Ralph A. Kahn, Yang Liu, and David J. Diner Contents, H. Akimoto, H. Tanimoto (eds.Handbook of Air Quality and Climate Change, 1, doi:10.1007/978-981-15-2527-8_62-1.

Chen, X., et al. (2021), Can multi-angular polarimetric measurements in the oxygen-A and B bands improve the retrieval of aerosol vertical distribution?, J. Quant. Spectrosc. Radiat. Transfer, 270, 107679, doi:10.1016/j.jqsrt.2021.107679.

Davis, A.B., et al. (2021), Understanding the Phenomenology of Opaque 3D Cloud Image Formation: Another Step Toward Cloud Tomography from Space-Based Imaging at Moderate Resolution, VIRTUAL International Conference on Computational Photography (ICCP), Physics & Optics Track, May. 23-25, Haifa, Israel.

Forster, L., et al. (2021), Toward cloud tomography from space using MISR and MODIS: Locating the "veiled core" in opaque convective clouds, J. Atmos. Sci., 78, 155-166, doi:10.1175/JAS-D-19-0262.1.

Redemann, J., et al. (2021), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507-1563, doi:10.5194/acp-21-1507-2021.

Garay, M.J., 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.

Redemann, J., et al. (2020), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol-cloud-radiation interactions in the Southeast Atlantic basin, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2020-449.

Dubovik, O., et al. (2019), Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives, J. Quant. Spectrosc. Radiat. Transfer, 224, 474-511, doi:10.1016/j.jqsrt.2018.11.024.

Remer, L.A., et al. (2019), Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument, Ocean Color Instrument. Front. Earth Sci., 7, 152, doi:10.3389/feart.2019.00152.

Remer, L.A., et al. (2019), Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry, Multi-Angle and Polarimetry. Front. Environ. Sci., 7, 94, doi:10.3389/fenvs.2019.00094.

Davis, A.B., et al. (2018), Generalized radiative transfer theory for scattering by particles in an absorbing gas: Addressing both spatial and spectral integration in multi-angle remote sensing of optically thin aerosol layers, J. Quant. Spectrosc. Radiat. Transfer, 205, 148-162, doi:10.1016/j.jqsrt.2017.10.003.

Davis, A.B., et al. (2018), Addendum to “Generalized radiative transfer theory for scattering by particles in an absorbing gas: Addressing both spatial and spectral integration in multi-angle remote sensing of optically thin aerosol layers” [JQSRT, 205, 148-162 (2018)], J. Quant. Spectrosc. Radiat. Transfer, 206, 251-253, doi:10.1016/j.jqsrt.2017.11.018.

Jovanovic, D.J.D.V., et al. (2018), Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA, Terms of Use, 12, 042603, doi:10.1117/1.JRS.12.042603.

van Harten, G., et al. (2018), Calibration and validation of Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) polarization measurements, Appl. Opt., 57, 4499-4513, doi:10.1364/AO.57.004499.

Xu, F., et al. (2018), Coupled Retrieval of Liquid Water Cloud and Above-Cloud Aerosol Properties Using the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), J. Geophys. Res., 123, 3175-3204, doi:10.1002/2017JD027926.

Mueller, ., et al. (2017), Assessment of MISR Cloud Motion Vectors (CMVs) Relative to GOES and MODIS Atmospheric Motion Vectors (AMVs), J. Appl. Meteor. Climat., 56, 555-572, doi:10.1175/JAMC-D-16-0112.1.

Garay, M.J., et al. (2016), Tomographic reconstruction of an aerosol plume using passive multiangle observations from the MISR satellite instrument, Geophys. Res. Lett., 43, 12,590-12,596, doi:10.1002/2016GL071479.

Witek, M.L., et al. (2016), Satellite assessment of sea spray aerosol productivity: Southern Ocean case study, J. Geophys. Res., 121, 872-894, doi:10.1002/2015JD023726.

Xu, F., et al. (2016), Markov chain formalism for generalized radiative transfer in a plane-parallel medium, accounting for polarization, J. Quant. Spectrosc. Radiat. Transfer, 184, 14-26, doi:10.1016/j.jqsrt.2016.06.004.

Zhao, G., et al. (2016), Regional Changes in Earth’s Color and Texture as Observed From Space Over a 15-Year Period, IEEE Trans. Geosci. Remote Sens., 54, 4240-4249, doi:10.1109/TGRS.2016.2538723.

Chen, Y., et al. (2015), Aerosol-cloud interactions in ship tracks using Terra MODIS/MISR, J. Geophys. Res., 120, 2819-2833, doi:10.1002/2014JD022736.

Tosca, M., et al. (2014), Observational evidence of fire-driven reduction of cloud fraction in tropical Africa, J. Geophys. Res., 119, 8418-8432, doi:10.1002/2014JD021759.

Kalashnikova, O.V., et al. (2013), MISR Dark Water aerosol retrievals: operational algorithm sensitivity to particle non-sphericity, Atmos. Meas. Tech., 6, 1-24, doi:10.5194/amt-6-1-2013.

Carboni, E., et al. (2012), Intercomparison of desert dust optical depth from satellite measurements, Atmos. Meas. Tech., 5, 1973-2002, doi:10.5194/amt-5-1973-2012.

Scollo, S., et al. (2012), MISR observations of Etna volcanic plumes, J. Geophys. Res., 117, D06210, doi:10.1029/2011JD016625.

Xu, F., et al. (2012), Linearization of Markov chain formalism for vector radiative transfer in a plane-parallel atmosphere/surface system, Appl. Opt., 51, 3491-3507, doi:10.1364/AO.51.003491.

Kahn, R.A., et al. (2011), Response to ‘‘Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET’’, J. Quant. Spectrosc. Radiat. Transfer, 112, 901-909, doi:10.1016/j.jqsrt.2010.11.001.

Kalashnikova, O.V., et al. (2011), Sensitivity of multi-angle photo-polarimetry to vertical layering and mixing of absorbing aerosols: Quantifying measurement uncertainties, J. Quant. Spectrosc. Radiat. Transfer, 112, 2149-2163, doi:10.1016/j.jqsrt.2011.05.010.

Xu, F., et al. (2011), Markov chain formalism for vector radiative transfer in a plane-parallel atmosphere overlying a polarizing surface, Optics Letters, 36, 2083-2085, doi:10.1364/OL.36.002083.

Kahn, R.A., et al. (2010), Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network, J. Geophys. Res., 115, D23209, doi:10.1029/2010JD014601.

Val Martin, ., et al. (2010), Smoke injection heights from fires in North America: analysis of 5 years of satellite observations, Atmos. Chem. Phys., 10, 1491-1510, doi:10.5194/acp-10-1491-2010.

Chen, Y., et al. (2009), Quantifying aerosol direct radiative effect with Multiangle Imaging Spectroradiometer observations: Top-of-atmosphere albedo change by aerosols based on land surface types, J. Geophys. Res., 114, D02109, doi:10.1029/2008JD010754.

Kahn, R.A., et al. (2009), MISR Aerosol Product Attributes and Statistical Comparisons With MODIS, IEEE Trans. Geosci. Remote Sens., 47, 4095-4114, doi:10.1109/TGRS.2009.2023115.

Wu, D.L., et al. (2009), Vertical distributions and relationships of cloud occurrence frequency as observed by MISR, AIRS, MODIS, OMI, CALIPSO, and CloudSat, Geophys. Res. Lett., 36, L09821, doi:10.1029/2009GL037464.

Kahn, R.A., et al. (2008), Wildfire smoke injection heights: Two perspectives from space, Geophys. Res. Lett., 35, L04809, doi:10.1029/2007GL032165.

Kahn, R.A., et al. (2007), Aerosol source plume physical characteristics from space-based multiangle imaging, J. Geophys. Res., 112, D11205, doi:10.1029/2006JD007647.

Abdou, W., et al. (2006), Sua Pan Surface Bidirectional Reflectance: A Case Study to Evaluate the Effect of Atmospheric Correction on the Surface Products of the Multi-angle Imaging SpectroRadiometer (MISR) During SAFARI 2000, IEEE Trans. Geosci. Remote Sens., 44, 1699-1706, doi:10.1109/TGRS.2006.876031.

Stenchikov, G., et al. (2006), Multiscale plume transport from collapse of the World Trade Center on September 11, 2001, Environ. Fluid Mechan., 6, 425-450, doi:10.1007/s10652-006-9001-8.

Kahn, R.A., et al. (2005), MISR Calibration and Implications for Low-Light-Level Aerosol Retrieval over Dark Water, J. Atmos. Sci., 62, 1032-1052.

Kahn, R.A., et al. (2005), Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations, J. Geophys. Res., 110, D10S04, doi:10.1029/2004JD004706.

Di Girolamo, L., et al. (2004), Analysis of Multi-angle Imaging SpectroRadiometer (MISR) aerosol optical depths over greater India during winter 2001–– 2004, Geophys. Res. Lett., 31, L23115, doi:10.1029/2004GL021273.

Kahn, R.A., et al. (2004), Understanding Aerosols: Aerosol Data Sources and Their Roles within PARAGON, Bull. Am. Meteorol. Soc., 1511, doi:10.1175/BAMS-85-10-1511.

Seinfeld, J., et al. (2004), Understanding Aerosols: Scientific Objectives, Measurement Needs, and Challenges Motivating the PARAGON Aerosol Initiative, Bull. Am. Meteorol. Soc., 1503, doi:10.1175/BAMS-85-10-1503.

Schmid, B., et al. (2003), Coordinated airborne, spaceborne, and ground-based measurements of massive, thick aerosol layers during the dry season in Southern Africa, J. Geophys. Res., 108, 8496, doi:10.1029/2002JD002297.

Kahn, R.A., et al. (1998), Sensitivity of multiangle imaging to aerosol optical depth and to pure-particle size distribution and composition over ocean, J. Geophys. Res., 103, 32195-32213, doi:10.1029/98JD01752.