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AVE Houston

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Richard Moore

Organization:

NASA Langley Research Center

Email:

Contact person by email

Business Phone:

Work: (757) 864-6043

Mobile: (757) 759-1951

Business Address:

NASA LaRC MS 483

Hampton, VA 23681

United States

First Author Publications:

Moore, R., et al. (2021), Sizing response of the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) and Laser Aerosol Spectrometer (LAS) to changes in submicron aerosol composition and refractive index, Atmos. Meas. Tech., 14, 4517-4542, doi:10.5194/amt-14-4517-2021.

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.
Decker, Z., et al. (2024), Airborne Observations Constrain Heterogeneous Nitrogen and Halogen Chemistry on Tropospheric and Stratospheric Biomass Burning Aerosol, Geophys. Res. Lett., 51, e2023GL107273, doi:10.1029/2023GL107273.
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.
Zhang, J., et al. (2024), Stratospheric air intrusions promote global-scale new particle formation.Science, Wang, 385, 210-216, doi:10.1126/science.adn2961.
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..
Corral, A., et al. (2023), Environmental Science: Atmospheres View Article Online PAPER View Journal Dimethylamine in cloud water: a case study over, The Author(s). Published by the Royal Society of Chemistry Environ. Sci.: Atmos, 10.1039/D2EA00117A, doi:10.1039/d2ea00117a.
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.
June, N. A., et al. (2023), Aerosol size distribution changes in FIREX-AQ biomass burning plumes: the impact of plume concentration on coagulation and OA condensation/evaporation, Atmos. Chem. Phys., doi:10.5194/acp-22-12803-2022.
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.
Rickly, P., et al. (2023), Emission factors and evolution of SO2 measured from biomass burning in wildfires and agricultural fires, Atmos. Chem. Phys., doi:10.5194/acp-22-15603-2022.
Saide Peralta, 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.
Travis, K. R., et al. (2023), Emission Factors for Crop Residue and Prescribed Fires in the Eastern US during FIREX-AQ, J. Geophys. Res., 128, e2023JD039309, doi:10.1029/2023JD039309.
Warneke, C., et al. (2023), Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ), J. Geophys. Res., 128, e2022JD037758, doi:10.1029/2022JD037758.
Bourgeois, I., et al. (2022), Comparison of airborne measurements of NO, NO2, HONO, NOy , and CO during FIREX-AQ, Atmos. Meas. Tech., 15, 4901-4930, doi:10.5194/amt-15-4901-2022.
Corral, A., et al. (2022), Cold Air Outbreaks Promote New Particle Formation Off the U.S. East Coast, Geophys. Res. Lett..
Dadashazar, H., et al. (2022), Analysis of MONARC and ACTIVATE Airborne Aerosol Data for Aerosol-Cloud Interaction Investigations: Efficacy of Stairstepping Flight Legs for Airborne In Situ Sampling, hosseind@arizona.edu (H.D.armin@arizona.edu (A.S., 13, 1242, doi:10.3390/atmos13081242.
Dadashazar, H., et al. (2022), Organic enrichment in droplet residual particles relative to out of cloud over the northwestern Atlantic: analysis of airborne ACTIVATE data, Atmos. Chem. Phys., doi:10.5194/acp-22-13897-2022.
Gryspeerdt, E., et al. (2022), The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data, Atmos. Meas. Tech., doi:10.5194/amt-2021-371.
Kirschler, S., et al. (2022), Seasonal updraft speeds change cloud droplet number concentrations in low-level clouds over the western North Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-22-8299-2022.
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, 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.
Tornow, F., et al. (2022), Dilution of Boundary Layer Cloud Condensation Nucleus Concentrations by Free Tropospheric Entrainment During Marine Cold Air Outbreaks, Geophys. Res. Lett., 49, e2022GL09844, doi:10.1029/2022GL098444.
Decker, Z., et al. (2021), Nighttime and daytime dark oxidation chemistry in wildfire plumes: an observation and model analysis of FIREX-AQ aircraft data, Atmos. Chem. Phys., 21, 16293-16317, doi:10.5194/acp-21-16293-2021.
Pagonis, D., et al. (2021), Airborne extractive electrospray mass spectrometry measurements of the chemical composition of organic aerosol, Atmos. Meas. Tech., 14, 1545-1559, doi:10.5194/amt-14-1545-2021.
Sanchez, K., et al. (2021), Linking marine phytoplankton emissions, meteorological processes, and downwind particle properties with FLEXPART, Atmos. Chem. Phys., 21, 831-851, doi:10.5194/acp-21-831-2021.
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.
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.
Schuster, G., et al. (2019), A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, Remote Sensing, 11, doi:10.3390/rs11050498.
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.
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.
Segal-Rozenhaimer, M., et al. (2018), Bias and Sensitivity of Boundary Layer Clouds and Surface Radiative Fluxes in MERRA-2 and Airborne Observations Over the Beaufort Sea During the ARISE Campaign, J. Geophys. Res., 123, 6565-6580, doi:10.1029/2018JD028349.
Smith, W., et al. (2017), Arctic Radiation-Icebridge Sea And Ice Experiment: The Arctic Radiant Energy System during the Critical Seasonal Ice Transition, Bull. Am. Meteorol. Soc., 1399-1426, doi:10.1175/BAMS-D-14-00277.1.
Zamora, L., et al. (2017), Aerosol indirect effects on the nighttime Arctic Ocean surface from thin, predominantly liquid clouds, Atmos. Chem. Phys., 17, 7311-7332, doi:10.5194/acp-17-7311-2017.
Beyersdorf, A., et al. (2016), The impacts of aerosol loading, composition, and water uptake on aerosol extinction variability in the Baltimore–Washington, D.C. region, Atmos. Chem. Phys., 16, 1003-1015, doi:10.5194/acp-16-1003-2016.
Corr, C. A., et al. (2016), Observational evidence for the convective transport of dust over the Central United States, J. Geophys. Res., 121, doi:10.1002/2015JD023789.
Shinozuka, Y., et al. (2015), The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates, Atmos. Chem. Phys., 15, 7585-7604, doi:10.5194/acp-15-7585-2015.
Crumeyrolle, S., et al. (2014), Factors that influence surface PM2.5 values inferred from satellite observations: perspective gained for the US Baltimore–Washington metropolitan area during DISCOVER-AQ, Atmos. Chem. Phys., 14, 2139-2153, doi:10.5194/acp-14-2139-2014.
Brock, C., et al. (2011), Characteristics, sources, and transport of aerosols measured in spring 2008 during the aerosol, radiation, and cloud processes affecting Arctic Climate (ARCPAC) Project, Atmos. Chem. Phys., 11, 2423-2453, doi:10.5194/acp-11-2423-2011.

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