Richard Ferrare

Crosbie, E.C., 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.

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.

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.

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.

Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725.

Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725.

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.

Zhu, H., et al. (2023), Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties, Atmos. Chem. Phys., doi:10.5194/acp-23-5023-2023.

Cochrane, S.P., et al. (2022), Biomass burning aerosol heating rates from the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) 2016 and 2017 experiments, Atmos. Meas. Tech., 15, 61-77, doi:10.5194/amt-15-61-2022.

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.

Schlosser, J.S., et al. (2022), Polarimeter + Lidar–Derived Aerosol Particle Number Concentration, Front. Remote Sens., 3, 885332, doi:10.3389/frsen.2022.885332.

Cochrane, S.P., et al. (2021), Biomass Burning Aerosol Heating Rates from the ORACLES, Atmos. Meas. Tech., and 2017 Experiments, doi:10.5194/acp-2021-169.

Doherty, S.J., et al. (2021), Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the Southeast Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-2021-333.

Doherty, S.J., et al. (2021), Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the Southeast Atlantic, Atmos. Chem. Phys.(submitted), doi:10.5194/acp-2021-333.

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.

Scott, B., et al. (2021), Aerosol, Cloud, Convection, and Precipitation (ACCP) Science & Applications, tech., report.

Thorsen, T., et al. (2021), Uncertainty in Observational Estimates of the Aerosol Direct Radiative Effect and Forcing, J. Climate, 34, 195-214, doi:10.1175/JCLI-D-19-1009.1.

Xu, F., et al. (2021), A Combined Lidar-Polarimeter Inversion Approach for Aerosol Remote Sensing Over Ocean, Front. Remote Sens., 2, 1-24, doi:10.3389/frsen.2021.620871.

Chang, I.Y.Y., et al. (2020), Spatiotemporal heterogeneity of aerosol and cloud properties over the southeast Atlantic: An observational analysis, in review for, Geophys. Res. Lett..

Painemal, D., et al. (2020), Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations, Atmos. Chem. Phys., 20, 7167-7177, doi:10.5194/acp-20-7167-2020.

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.

Shinozuka, Y., et al. (2020), Daytime aerosol optical depth above low-level clouds is similar to that in adjacent clear skies at the same heights: airborne observation above the southeast Atlantic, Atmos. Chem. Phys., 20, 11275-11285, doi:10.5194/acp-20-11275-2020.

Shinozuka, Y., et al. (2020), Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016, Atmos. Chem. Phys., 20, 11491-11526, doi:10.5194/acp-20-11491-2020.

Shinozuka, Y., et al. (2020), Daytime aerosol optical depth above low-level clouds is similar to that in adjacent clear skies at the same heights: airborne observation above the southeast Atlantic, Atmos. Chem. Phys.(submitted), doi:10.5194/acp-2019-1007.

Sorooshian, A., et al. (2020), Atmospheric Research Over the Western North Atlantic Ocean Region and North American East Coast: A Review of Past Work and Challenges Ahead, J. Geophys. Res., 125, e2019JD031626, doi:10.1029/2019JD031626.

Thorsen, T., et al. (2020), Aerosol Direct Radiative Effect Sensitivity Analysis, J. Climate, 33, 6119-6139, doi:10.1175/JCLI-D-19-0669.1.

Toon, O.B., et al. (2020), Planning, implementation and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission.

Behrenfeld, M.J., et al. (2019), The North Atlantic Aerosol and Marine Ecosystem Study (NAAMES): Science Motive and Mission Overview, Front. Mar. Sci., 6, 122, doi:10.3389/fmars.2019.00122.

Cochrane, S.P., et al. (2019), Above-cloud aerosol radiative effects based on ORACLES 2016 and ORACLES 2017 aircraft experiments, Atmos. Meas. Tech., 12, 6505-6528, doi:10.5194/amt-12-6505-2019.

Mallet, M., et al. (2019), Simulation of the transport, vertical distribution, optical properties and radiative impact of smoke aerosols with the ALADIN regional climate model during the ORACLES-2016 and LASIC experiments, Atmos. Chem. Phys., 19, 4963-4990, doi:10.5194/acp-19-4963-2019.

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.

Sayer, A.M., et al. (2019), Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data, Atmos. Meas. Tech., 12, 3595-3627, doi:10.5194/amt-12-3595-2019.

shinozuka, ., et al. (2019), Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016, Atmos. Chem. Phys. Discuss.(submitted), doi:https://doi.org/10.5194/acp-2019-678.

Sorooshian, A., et al. (2019), Aerosol–Cloud–Meteorology Interaction Airborne Field Investigations: Using Lessons Learned from the U.S. West Coast in the Design of ACTIVATE off the U.S. East Coast, Bull. Am. Meteorol. Soc., 1511-1528, doi:10.1175/BAMS-D-18-0100.1.

Burton, S.P., 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.

Holben, B.N., et al. (2018), An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks, Atmos. Chem. Phys., 18, 655-671, doi:10.5194/acp-18-655-2018.

Mardi, A.H., et al. (2018), Biomass Burning Plumes in the Vicinity of the California Coast: Airborne Characterization of Physicochemical Properties, Heating Rates, and Spatiotemporal Features, J. Geophys. Res., 123, 13,560-13,582, doi:10.1029/2018JD029134.

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.

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.

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.

Kahn, R.A., et al. (2017), SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses, Bull. Am. Meteoro. Soc., 2215-2228, doi:10.1175/BAMS-D-16-0003.1.

Painemal, D., et al. (2017), Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations, J. Geophys. Res., 122, 2403-2418, doi:10.1002/2016JD025771.

Sawamura, P., et al. (2017), c Author(s) 2017. CC-BY 3.0 License. HSRL-2 aerosol optical measurements and microphysical retrievals vs. airborne in situ measurements during DISCOVER-AQ 2013: an intercomparison study, Atmos. Chem. Phys., doi:10.5194/acp-2016-1164.

Twohy, C.H., et al. (2017), Saharan dust, convective lofting, aerosol enhancement zones, and potential impacts on ice nucleation in the tropical upper troposphere, J. Geophys. Res., 122, 8833-8851, doi:10.1002/2017JD026933.

Berg, L.K., et al. (2016), (2016), The Two-Column Aerosol Project: Phase I—Overview and impact of elevated aerosol layers on aerosol optical depth, J. Geophys. Res., 121, 336-361, doi:10.1002/2015JD023848.

Burton, S.P., et al. (2016), Information content and sensitivity of the 3β+ 2α lidar measurement system for aerosol microphysical retrievals, Atmos. Meas. Tech., 9, 5555-5574, doi:10.5194/amt-9-5555-2016.

Kim, S., et al. (2016), Modeling the weekly cycle of NOx and CO emissions and their impacts on O3 in the Los Angeles-South Coast Air Basin during the CalNex 2010 field campaign, J. Geophys. Res., 121, 1340-1360, doi:10.1002/2015JD024292.

Toon, O.B., et al. (2016), Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission, J. Geophys. Res., 121, 4967-5009, doi:10.1002/2015JD024297.

Diskin, G.S., et al. (2015), Ammonia and methane dairy emission plumes in the San Joaquin Valley of California from individual feedlot to regional scales, J. Geophys. Res., NH3, CH4.

Luo, T., et al. (2015), Vertically resolved separation of dust and other aerosol types by a new lidar depolarization method, Optics Express, 23, 14095-14107, doi:10.1364/OE.23.014095.

Eck, T.F., et al. (2014), Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds, Atmos. Chem. Phys., 14, 11633-11656, doi:10.5194/acp-14-11633-2014.

Kacenelenbogen, M.S., et al. (2014), An evaluation of CALIOP/CALIPSO’s aerosol-above-cloud (AAC) detection and retrieval capability. , J. Geophys. Res., 119, 230-244.

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.

Munchak, ., et al. (2013), MODIS 3 km aerosol product: applications over land in an urban/suburban region, Atmos. Meas. Tech., 6, 1747-1759, doi:10.5194/amt-6-1747-2013.

Naeger, A.R., et al. (2013), A New Technique Using Infrared Satellite Measurements to Improve the Accuracy of the CALIPSO Cloud-Aerosol Discrimination Method, IEEE Trans. Geosci. Remote Sens., 51, 642-653, doi:10.1109/TGRS.2012.2201161.

Patadia, F., et al. (2013), Aerosol airmass type mapping over the Urban Mexico City region from space-based multi-angle imaging, Atmos. Chem. Phys., 13, 9525-9541, doi:10.5194/acp-13-9525-2013.

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.

Zhai, P., et al. (2013), Uncertainty and interpretation of aerosol remote sensing due to vertical inhomogeneity, J. Quant. Spectrosc. Radiat. Transfer, 114, 91-100, doi:10.1016/j.jqsrt.2012.08.006.

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.P., 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.

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.

Zaveri, R.A., et al. (2012), Overview of the 2010 Carbonaceous Aerosols and Radiative Effects Study (CARES), Atmos. Chem. Phys., 12, 7647-7687, doi:10.5194/acp-12-7647-2012.

Brock, C.A., 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.

Chen, G., et al. (2011), Observations of Saharan dust microphysical and optical properties from the Eastern Atlantic during NAMMA airborne field campaign, Atmos. Chem. Phys., 11, 723-740, doi:10.5194/acp-11-723-2011.

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.D., 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.

Jacob, D.J., et al. (2010), The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results, Atmos. Chem. Phys., 10, 5191-5212, doi:10.5194/acp-10-5191-2010.

Kassianov, E., et al. (2010), Retrieval of aerosol optical depth in vicinity of broken clouds from reflectance ratios: case study, Atmos. Meas. Tech., 3, 1333-1349, doi:10.5194/amt-3-1333-2010.

Molina, L.T., et al. (2010), An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation, Atmos. Chem. Phys., 10, 8697-8760, doi:10.5194/acp-10-8697-2010.

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.

Schmid, B., et al. (2009), Validation of aerosol extinction and water vapor profiles from routine Atmospheric Radiation Measurement Program Climate Research Facility measurements, J. Geophys. Res., 114, D22207, doi:10.1029/2009JD012682.

Zipser, E.J., et al. (2009), The Saharan Air Layer And The Fate Of African Easterly Waves: NASA’s AMMA Field Study of Tropical Cyclogenesis, Bull. Am. Meteorol. Soc., 1137-1156, doi:10.1175/2009BAMS2728.1.

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

Hallar, G., et al. (2006), Atmospheric Radiation Measurements Aerosol Intensive Operating Period: Comparison of aerosol scattering during coordinated flights, J. Geophys. Res., 111, D05S09, doi:10.1029/2005JD006250.

Schmid, B., et al. (2006), How well do state-of-the-art techniques measuring the vertical profile of tropospheric aerosol extinction compare?, J. Geophys. Res., 111.

Whiteman, D., et al. (2006), Raman Lidar Measurements during the International H2O Project. Part II: Case Studies, J. Atmos. Oceanic Technol., 23, 170-183.

Demoz, B.B., et al. (2005), The Cold Front of 15 April 1994 over the Central United States. Part I: Observations, Mon. Wea. Rev., 133, 1525-1543.

Schmid, B., et al. (2005), How well can we measure the vertical profile of tropospheric aerosol extinction?, J. Geophys. Res., 2005JD005837, D05S07, doi:10.1029/2005JD005837.

Revercomb, H.E., et al. (2003), The Atmospheric Radiation Measurement (ARM) Program’s water vapor intensive observation periods: Overview, accomplishments, and future challenges. Bull. Amer. Meteor. Soc., 84, 217-236.

Ismail, S., et al. (2000), LASE measurements of aerosol and water vapor profiles during TARFOX, J. Geophys. Res., 105, 9903-9916.

Redemann, J., et al. (2000), Retrieving the vertical structure of the effective aerosol complex index of refraction from a combination of aerosol in situ and remote sensing measurements during TARFOX, J. Geophys. Res., 105, 9949-9970.