Johnathan W. Hair

Organization

NASA Langley Research Center

Email

Contact person by email

Business Phone

Work

:

(757) 864-1406

Mobile

:

(757) 303-3815

Fax

:

(757) 864-7790

Business Address

MS401A
Hampton, VA 23681
United States

Website

http://science.larc.nasa.gov/lidar

First Author Publications

Hair, J.W., et al. (2008), Airborne High Spectral Resolution Lidar for Profiling Aerosol Optical Properties, Appl. Opt., 47, doi:10.1364/AO.47.006734.

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

Co-Authored Publications

Crosbie, E., et al. (2024), Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus, Atmos. Chem. Phys., doi:10.5194/acp-24-6123-2024.
Dmitrovic, S., et al. (2024), High Spectral Resolution Lidar – generation 2 (HSRL-2) retrievals of ocean surface wind speed: methodology and evaluation, Atmos. Meas. Tech., 17, 3515-3532, doi:10.5194/amt-17-3515-2024.
Gkatzelis, G., et al. (2024), Parameterizations of US wildfire and prescribed fire emission ratios and emission factors based on FIREX-AQ aircraft measurements, Atmos. Chem. Phys., doi:10.5194/acp-24-929-2024.
Gkatzelis, G., et al. (2024), Parameterizations of US wildfire and prescribed fire emission ratios and emission factors based on FIREX-AQ aircraft measurements, Atmos. Chem. Phys., doi:10.5194/acp-24-929-2024.
Li, X., et al. (2024), Process Modeling of Aerosol‐Cloud Interaction in Summertime Precipitating Shallow Cumulus Over the Western North Atlantic, J. Geophys. Res., 129, e2023JD039489, doi:10.1029/2023JD039489.
Schlosser, J., et al. (2024), Maximizing the Volume of Collocated Data from Two Coordinated Suborbital Platforms, J. Atmos. Oceanic Technol., 41, 189-201, doi:10.1175/JTECH-D-23-0001.1.
Siu, L.W., et al. (2024), Summarizing multiple aspects of triple collocation analysis in a single diagram, Frontiers in Remote Sensing, 5, 10.3389/frsen.2024.1395442, doi:10.3389/frsen.2024.1395442.
Siu, L.W., et al. (2024), Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE, Atmos. Meas. Tech., 17, 2739-2759, doi:10.5194/amt-17-2739-2024.
Xu, Y., et al. (2024), Boundary Layer Structures Over the Northwest Atlantic Derived From Airborne High Spectral Resolution Lidar and Dropsonde Measurements During the ACTIVATE Campaign, J. Geophys. Res., 129, e2023JD039878, doi:10.1029/2023JD039878.
Brunke, M.A., et al. (2023), Aircraft Observations of Turbulence in Cloudy and Cloud-Free Boundary Layers Over the Western North Atlantic Ocean From ACTIVATE and Implications for the Earth System Model Evaluation and Development, J. Geophys. Res..
Ferrare, R., et al. (2023), Airborne HSRL-2 measurements of elevated aerosol depolarization associated with non-spherical sea salt, TYPE Original Research, doi:10.3389/frsen.2023.1143944.
Li, X., et al. (2023), Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part II: Aerosol–Meteorology–Cloud Interaction, J. Atmos. Sci., 80, 1025-1045, doi:10.1175/JAS-D-21-0324.1.
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.
Pagonis, D., et al. (2023), Impact of Biomass Burning Organic Aerosol Volatility on Smoke Concentrations Downwind of Fires, Environ. Sci. Technol., 57, 17011-17021, doi:10.1021/acs.est.3c05017.
Saide Peralta, P., et al. (2023), Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements, Geophys. Res. Lett., 49, e2022GL099175, doi:10.1029/2022GL099175.
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.
Tang, Y., et al. (2023), Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign, Geosci. Model. Dev., doi:10.5194/gmd-15-7977-2022.
Chemyakin, E., et al. (2022), Efficient single-scattering look-up table for lidar and polarimeter water cloud studies, / Optics Letters, 48, 13-16, doi:10.1364/OL.474282.
Li, X., et al. (2022), Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part I: Case Setup and Sensitivities to Large-Scale Forcings, J. Atmos. Sci., 79, 73-100, doi:10.1175/JAS-D-21-0123.1.
Noyes, K.J., et al. (2022), Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign, doi:10.3390/rs12223823.
Peterson, D., et al. (2022), Measurements from inside a Thunderstorm Driven by Wildfire: The 2019 FIREX-AQ Field Experiment, Bull. Amer. Meteor. Soc., 103, E2140-E2167, doi:10.1175/BAMS-D-21-0049.1.
Saide Peralta, P., et al. (2022), Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements, Geophys. Res. Lett., 49, e2022GL099175, doi:10.1029/2022GL099175.
Sanchez, K., et al. (2022), North Atlantic Ocean SST-gradient-driven variations in aerosol and cloud evolution along Lagrangian cold-air outbreak trajectories, Atmos. Chem. Phys., 22, 2795-2815, doi:10.5194/acp-22-2795-2022.
Schlosser, J., et al. (2022), Polarimeter + Lidar–Derived Aerosol Particle Number Concentration, Front. Remote Sens., 3, 885332, doi:10.3389/frsen.2022.885332.
Tang, W., et al. (2022), Effects of Fire Diurnal Variation and Plume Rise on U.S. Air Quality During FIREX-AQ and WE-CAN Based on the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICAv0), J. Geophys. Res., 127, e2022JD036650, doi:10.1029/2022JD036650.
Wang, S., et al. (2021), Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study, J. Geophys. Res..
Wiggins, E.B., et al. (2021), Reconciling assumptions in bottom-up and top-down approaches for estimating aerosol emission rates from wildland fires using observations from FIREX-AQ, J. Geophys. Res., 126, e2021JD035692, doi:10.1029/2021JD035692.
Zhai, S., et al. (2021), Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations, Atmos. Chem. Phys., 21, 16775-16791, doi:10.5194/acp-21-16775-2021.
Alexandrov, M.D., et al. (2018), Retrievals of cloud droplet size from the research scanning polarimeter data: T Validation using in situ measurements, Remote Sensing of Environment, 210, 76-95, doi:10.1016/j.rse.2018.03.005.
Baker, K.R., et al. (2018), Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data, Science of the Total Environment, 637–638, 1137-1149, doi:10.1016/j.scitotenv.2018.05.048.
Burton, S., et al. (2018), Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES, Appl. Opt., 57, 6061-6075, doi:10.1364/AO.57.006061.
Ottaviani, M., et al. (2018), Airborne and shipborne polarimetric measurements over open ocean and T coastal waters: Intercomparisons and implications for spaceborne observations ⁎, Remote Sensing of Environment, 206, 375-390, doi:10.1016/j.rse.2017.12.015.
Buchard-Marchant, V.J., et al. (2017), The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies, J. Climate, 30, 6851-6872, doi:10.1175/JCLI-D-16-0613.1.
Shingler, T., et al. (2016), Airborne characterization of subsaturated aerosol hygroscopicity and dry refractive index from the surface to 6.5km during the SEAC4RS campaign, J. Geophys. Res., 121, 4188-4210, doi:10.1002/2015JD024498.
Saide Peralta, P., et al. (2015), Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion, Geophys. Res. Lett., 42, 3609-3618, doi:10.1002/2015GL063737.
Sawamura, P., et al. (2014), Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011, Atmos. Meas. Tech., 7, 3095-3112, doi:10.5194/amt-7-3095-2014.
Ryerson, T.B., et al. (2013), The 2010 California Research at the Nexus of Air Quality and Climate Change (CalNex) field study, J. Geophys. Res., 118, 5830-5866, doi:10.1002/jgrd.50331.
Shinozuka, Y., et al. (2013), Hyperspectral aerosol optical depths from TCAP flights, J. Geophys. Res., 118, 12,180-12,194, doi:10.1002/2013JD020596.
Ziemba, L.D., et al. (2013), Airborne observations of aerosol extinction by in situ and remote-sensing techniques: Evaluation of particle hygroscopicity, Geophys. Res. Lett., 40, 417-422, doi:10.1029/2012GL054428.
Burton, S., et al. (2012), Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples, Atmos. Meas. Tech., 5, 73-98, doi:10.5194/amt-5-73-2012.
Dupont, R., et al. (2012), Attribution and evolution of ozone from Asian wild fires using satellite and aircraft measurements during the ARCTAS campaign, Atmos. Chem. Phys., 12, 169-188, doi:10.5194/acp-12-169-2012.
Koo, J.-H., et al. (2012), Characteristics of tropospheric ozone depletion events in the Arctic spring: analysis of the ARCTAS, ARCPAC, and ARCIONS measurements and satellite BrO observations, Atmos. Chem. Phys., 12, 9909-9922, doi:10.5194/acp-12-9909-2012.
LeBlanc, S., et al. (2012), Spectral aerosol direct radiative forcing from airborne radiative measurements during CalNex and ARCTAS, J. Geophys. Res., 117, D00V20, doi:10.1029/2012JD018106.
Ottaviani, M., et al. (2012), Polarimetric retrievals of surface and cirrus clouds properties in the region affected by the Deepwater Horizon oil spill, Remote Sensing of Environment, 121, 389-403, doi:10.1016/j.rse.2012.02.016.
Carn, S.A., et al. (2011), In situ measurements of tropospheric volcanic plumes in Ecuador and Colombia during TC4, J. Geophys. Res., 116, D00J24, doi:10.1029/2010JD014718.
Fried, A., et al. (2011), Detailed comparisons of airborne formaldehyde measurements with box models during the 2006 INTEX-B and MILAGRO campaigns: potential evidence for significant impacts of unmeasured and multi-generation volatile organic carbon compounds, Atmos. Chem. Phys., 11, 11867-11894, doi:10.5194/acp-11-11867-2011.
Kacenelenbogen, M.S., et al. (2011), An accuracy assessment of the CALIOP/CALIPSO version 2/version 3 daytime aerosol extinction product based on a detailed multi-sensor, multi-platform case study, Atmos. Chem. Phys., 11, 3981-4000, doi:10.5194/acp-11-3981-2011.
Knobelspiesse, K., et al. (2011), Combined retrievals of boreal forest fire aerosol properties with a polarimeter and lidar, Atmos. Chem. Phys., 11, 7045-7067, doi:10.5194/acp-11-7045-2011.
Petropavlovskikh, I., et al. (2010), Low‐ozone bubbles observed in the tropical tropopause layer during the TC4 campaign in 2007, J. Geophys. Res., 115, D00J16, doi:10.1029/2009JD012804.
Thompson, A.M., et al. (2010), Convective and wave signatures in ozone profiles over the equatorial Americas: Views from TC4 2007 and SHADOZ, J. Geophys. Res., 115, D00J23, doi:10.1029/2009JD012909.
Rogers, R.R., et al. (2009), NASA LaRC airborne high spectral resolution lidar aerosol measurements during MILAGRO: observations and validation, Atmos. Chem. Phys., 9, 4811-4826, doi:10.5194/acp-9-4811-2009.
Browell, E., et al. (2003), Large-scale ozone and aerosol distributions, air mass characteristics, and ozone fluxes over the western Pacific Ocean in late winter/early spring, J. Geophys. Res., 108, 8805.

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

Johnathan W. Hair

National Aeronautics and Space Administration

National Aeronautics and
Space Administration