Bastiaan van Diedenhoven

Organization

SRON Netherlands Institute for Space Research

NASA Goddard Institute for Space Studies

Columbia University

Email

Contact person by email

Business Phone

Mobile

:

0630227853

(NL)

Mobile

:

(646) 266-2374

Business Address

SRON
Niels Bohrweg 4
2333CA Leiden
Netherlands

First 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., et al. (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.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

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.S., 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.A., 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.M., 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.A., 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.A., 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.A.M., 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, ., 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.A., 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.D., 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., et al. (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.D., et al. (2012), Analysis of fine-mode aerosol retrieval capabilities by different passive remote sensing instrument designs, Opt. Express, 20, 21457-21484.
Knobelspiesse, K.D., 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.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration