Bastiaan van Diedenhoven
Organization:
SRON Netherlands Institute for Space Research
NASA Goddard Institute for Space Studies
Columbia University
Email:
Business Phone:
Mobile:
+31 6 30227853
Mobile:
(646) 266-2374
Business Address:
SRON
Niels Bohrweg 4
2333CA Leiden
NetherlandsFirst Author Publications:
- van Diedenhoven, B., et al. (2022), Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry, Atmos. Meas. Tech., 15, 7411-7434, doi:10.5194/amt-15-7411-2022.
- van Diedenhoven, B., et al. (2020), Global Statistics of Ice Microphysical and Optical Properties at Tops of Optically Thick Ice Clouds, J. Geophys. Res., 125, doi:10.1029/2019JD031811.
- van Diedenhoven, B., et al. (2016), Vertical variation of ice particle size in convective cloud tops, Geophys. Res. Lett., 43, doi:10.1002/2016GL068548.
- van Diedenhoven, B., et al. (2016), On Averaging Aspect Ratios and Distortion Parameters over Ice Crystal Population Ensembles for Estimating Effective Scattering Asymmetry Parameters, J. Atmos. Sci., 73, 775-787, doi:10.1175/JAS-D-15-0150.1.
- van Diedenhoven, B., et al. (2014), Variation of ice crystal size, shape, and asymmetry parameter in tops of tropical deep convective clouds, J. Geophys. Res., 119, 11,809-11,825, doi:10.1002/2014JD022385.
- van Diedenhoven, B., et al. (2014), A Flexible Parameterization for Shortwave Optical Properties of Ice Crystals*, J. Atmos. Sci., 71, 1763-1782, doi:10.1175/JAS-D-13-0205.1.
- van Diedenhoven, B., et al. (2013), Remote sensing of ice crystal asymmetry parameter using multi-directional polarization measurements – Part 2: Application to the Research Scanning Polarimeter, Atmos. Chem. Phys., 13, 3185-3203, doi:10.5194/acp-13-3185-2013.
- van Diedenhoven, B., et al. (2012), Remote sensing of ice crystal asymmetry parameter using multi-directional polarization measurements – Part 1: Methodology and evaluation with simulated measurements, Atmos. Meas. Tech., 5, 2361-2374, doi:10.5194/amt-5-2361-2012.
- van Diedenhoven, B., et al. (2012), Evaluation of Hydrometeor Phase and Ice Properties in Cloud-Resolving Model Simulations of Tropical Deep Convection Using Radiance and Polarization Measurements, J. Atmos. Sci., 69, 3290-3314, doi:10.1175/JAS-D-11-0314.1.
- van Diedenhoven, B., A. M. Fridlind, and A. S. Ackerman (2011), Influence of Humidified Aerosol on Lidar Depolarization Measurements below Ice-Precipitating Arctic Stratus, J. Appl. Meteor. Climat., 50, 2184-2192, doi:10.1175/JAMC-D-11-037.1.
- van Diedenhoven, B., et al. (2009), An evaluation of ice formation in large-eddy simulations of supercooled Arctic stratocumulus using ground-based lidar and cloud radar, J. Geophys. Res., 114, D10203, doi:10.1029/2008JD011198.
Co-Authored Publications:
- Nied, J., et al. (2023), A cloud detection neural network for above-aircraft clouds using airborne cameras, Frontiers in Remote Sensing, 4, 10.3389/frsen.2023.1118745, doi:10.3389/frsen.2023.1118745.
- Sorooshian, A., et al. (2023), Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset, Earth Syst. Sci. Data, 15, 3419-3472, doi:10.5194/essd-15-3419-2023.
- Fu, D., et al. (2022), An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2 Ex, Atmos. Chem. Phys., doi:10.5194/acp-22-8259-2022.
- Schlosser, J., et al. (2022), Polarimeter + Lidar–Derived Aerosol Particle Number Concentration, Front. Remote Sens., 3, 885332, doi:10.3389/frsen.2022.885332.
- Corral, A., et al. (2021), All Rights Reserved. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast – Part 1: Analysis of Aerosols, Gases, and Wet Deposition Chemistry, J. Geophys. Res., 126, e2020JD032592, doi:10.1029/2020JD032592.
- Sinclair, K., et al. (2021), Inference of Precipitation in Warm Stratiform Clouds Using Remotely Sensed Observations of the Cloud Top Droplet Size Distribution, Geophys. Res. Lett..
- Alexandrov, M. D., et al. (2020), Vertical profiles of droplet size distributions derived from cloud-side T observations by the research scanning polarimeter: Tests on simulated data ⁎, Atmos. Res., 239, 104924, doi:10.1016/j.atmosres.2020.104924.
- Dzambo, A., et al. (2020), Joint Cloud Water Path and Rain Water Path Retrievals from ORACLES Observations, Atmos. Chem. Phys., doi:10.5194/acp-2020-849.
- Midzak, N., et al. (2020), A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign, J. Atmos. Oceanic Technol., 37, 2185-2196, doi:10.1175/JTECH-D-20-0037.1.
- Miller, D. J., et al. (2020), Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm, Atmos. Meas. Tech., 13, 3447-3470, doi:10.5194/amt-13-3447-2020.
- Sinclair, K., et al. (2020), Observations of Aerosol‐Cloud Interactions During the North Atlantic Aerosol and Marine Ecosystem Study, Geophys. Res. Lett., 47, 1-10, doi:10.1029/2019GL085851.
- Pistone, K., et al. (2019), Intercomparison of biomass burning aerosol optical properties from in situ and remote-sensing instruments in ORACLES-2016, Atmos. Chem. Phys., 19, 9181-9208, doi:10.5194/acp-19-9181-2019.
- Sinclair, K., et al. (2019), Polarimetric retrievals of cloud droplet number concentrations T a,b,⁎ b,c b b,c, Remote Sensing of Environment, 228, 227-240, doi:10.1016/j.rse.2019.04.008.
- Stamnes, S., et al. (2018), Simultaneous polarimeter retrievals of microphysical aerosol and ocean color parameters from the “MAPP” algorithm with comparison to high-spectral-resolution lidar aerosol and ocean products, Appl. Opt., 57, 2394-2413, doi:10.1364/AO.57.002394.
- Di Noia, A., et al. (2017), Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter, Atmos. Meas. Tech., 10, 4235-4252, doi:10.5194/amt-10-4235-2017.
- Sinclair, K., et al. (2017), Remote sensing of multiple cloud layer heights using multi-angular measurements, Atmos. Meas. Tech., 10, 2361-2375, doi:10.5194/amt-10-2361-2017.
- Alexandrov, M. D., et al. (2016), Polarized view of supercooled liquid water clouds, Remote Sensing of Environment, 181, 96-110, doi:10.1016/j.rse.2016.04.002.
- Fridlind, A. M., et al. (2016), Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model, Atmos. Chem. Phys., 16, 7251-7283, doi:10.5194/acp-16-7251-2016.
- Wu, L., et al. (2016), Passive remote sensing of aerosol layer height using near-UV multiangle polarization measurements, Geophys. Res. Lett., 43, 8783-8790, doi:10.1002/2016GL069848.
- Alexandrov, M. D., et al. (2015), Liquid water cloud properties during the Polarimeter Definition Experiment (PODEX), Remote Sensing of Environment, 169, 20-36, doi:10.1016/j.rse.2015.07.029.
- Knobelspiesse, K., et al. (2015), Cloud thermodynamic phase detection with polarimetrically sensitive passive sky radiometers, Atmos. Meas. Tech., 8, 1537-1554, doi:10.5194/amt-8-1537-2015.
- Ottaviani, M., B. van Diedenhoven, and B. Cairns (2015), Photopolarimetric retrievals of snow properties, The Cryosphere, 9, 1933-1942, doi:10.5194/tc-9-1933-2015.
- Wu, L., et al. (2015), Aerosol retrieval from multiangle, multispectral photopolarimetric measurements: importance of spectral range and angular resolution, Atmos. Meas. Tech., 8, 2625-2638, doi:10.5194/amt-8-2625-2015.
- Alexandrov, M. D., et al. (2012), Accuracy assessments of cloud droplet size retrievals from polarized reflectance measurements by the research scanning polarimeter, Remote Sensing of Environment, 125, 92-111, doi:10.1016/j.rse.2012.07.012.
- Fridlind, A. M., et al. (2012), A FIRE-ACE/SHEBA Case Study of Mixed-Phase Arctic Boundary Layer Clouds: Entrainment Rate Limitations on Rapid Primary Ice Nucleation Processes, J. Atmos. Sci., 69, 365-389, doi:10.1175/JAS-D-11-052.1.
- Knobelspiesse, K., et al. (2012), Analysis of fine-mode aerosol retrieval capabilities by different passive remote sensing instrument designs, Opt. Express, 20, 21457-21484.
- Knobelspiesse, K., et al. (2012), Analysis of fine-mode aerosol retrieval capabilities by different passive remote sensing instrument designs , Optics Express, 20, 21457-21484.
- Avramov, A., et al. (2011), Toward ice formation closure in Arctic mixed‐phase boundary layer clouds during ISDAC, J. Geophys. Res., 116, D00T08, doi:10.1029/2011JD015910.