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Richard Ferrare
Organization:
NASA Langley Research Center
Business Address:
Hampton, VA 23681
United StatesFirst Author Publications:
- 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.
- Ferrare, R., et al. (2006), The Atmospheric Radiation Measurement Program May 2003 Intensive Operations Period examining aerosol properties and radiative influences; Preface to special section, J. Geophys. Res., 11, D05S08, doi:10.1029/2005JD005836.
- Ferrare, R., et al. (2006), Evaluation of daytime measurements of aerosols and water vapor made by an operational Raman lidar over the Southern Great Plains, J. Geophys. Res., 111, D05S08, doi:10.1029/2005JD005836.
- Ferrare, R., et al. (2001), LASE measurements of water vapor, aerosols, and clouds during SOLVE, Trends Opt. Photonics, 52, 23-25.
- Ferrare, R., et al. (2000), Comparisons of aerosol optical properties and water vapor among ground and airborne lidars and sun photometers during TARFOX, J. Geophys. Res., 105, 9917-9933.
- Ferrare, R., et al. (2000), Comparisons of LASE, aircraft, and satellite measurements of aerosol optical properties and water vapor during TARFOX, J. Geophys. Res., 105, 9935-9947.
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.
- 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., 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., 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., 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 (submitted).
- 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., D. Winker, and R. Ferrare (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., 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., doi:10.5194/acp-2019-1007 (submitted).
- 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, 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., 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., 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., doi: https://doi.org/10.5194/acp-2019-678 (submitted).
- 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., 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., 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., 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., 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., 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., 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, 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, L. A., 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., 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., 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., 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., 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. W., et al. (2008), Airborne High Spectral Resolution Lidar for Profiling Aerosol Optical Properties, Appl. Opt., 47, doi:10.1364/AO.47.006734.
- Hallar, A. 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., 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.
Note: Only publications that have been uploaded to the
ESD Publications database are listed here.