The AVE-Houston2 website will be undergoing a major upgrade beginning Friday, October 11th at 5:00 PM PDT. The new upgraded site will be available no later than Monday, October 21st. Please plan to complete any critical activities before or after this time.

AVE-Houston2

Disclaimer: This material is being kept online for historical purposes. Though accurate at the time of publication, it is no longer being updated. The page may contain broken links or outdated information, and parts may not function in current web browsers. Visit https://espo.nasa.gov for information about our current projects.

Armin Sorooshian

Organization:

University of Arizona

Email:

Contact person by email

Business Phone:

Work: (520) 626-5858

Mobile: (520) 465-6221

Fax: (520) 621-6048

Business Address:

Department of Chemical and Environmental Engineering

1133 E. James E. Rogers Way, Room 108E

Tucson, AZ 85721

United States

Website:

https://sorooshian.lab.arizona.edu/

First Author Publications:

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.
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.
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.
Sorooshian, A., et al. (2017), Contrasting aerosol refractive index and hygroscopicity in the inflow and outflow of deep convective storms: Analysis of airborne data from DC3, J. Geophys. Res., 122, 4565-4577, doi:10.1002/2017JD026638.
Sorooshian, A., et al. (2013), A satellite perspective on cloud water to rain water conversion rates and relationships with environmental conditions, J. Geophys. Res., 118, 1-8, doi:10.1002/jgrd.50523.
Sorooshian, A., et al. (2010), Deconstructing the precipitation susceptibility construct: Improving methodology for aerosol‐cloud precipitation studies, J. Geophys. Res., 115, D17201, doi:10.1029/2009JD013426.
Sorooshian, A., et al. (2009), On the precipitation susceptibility of clouds to aerosol perturbations, Geophys. Res. Lett., 36, L13803, doi:10.1029/2009GL038993.
Sorooshian, A., et al. (2008), Rapid, size-resolved aerosol hygroscopic growth measurements: differential aerosol sizing and hygroscopicity spectrometer probe (DASH-SP), Aerosol Sci. Tech., 42, 445-464.

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.
Edwards, E., et al. (2024), Sea salt reactivity over the northwest Atlantic: an in-depth look using the airborne ACTIVATE dataset, Atmos. Chem. Phys., doi:10.5194/acp-24-3349-2024.
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.
Lorenzo, G. R., et al. (2024), An emerging aerosol climatology via remote sensing over Metro Manila, the Philippines, Atmos. Chem. Phys., doi:10.5194/acp-23-10579-2023.
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..
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.
Gryspeerdt, E., et al. (2023), Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions, Atmos. Chem. Phys., doi:10.5194/acp-23-4115-2023.
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.
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.
Vömel, H. 1. ✉., et al. (2023), OPEN Dropsonde observations during Data Descriptor the Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment, Nature, doi:10.1038/s41597-023-02647-5.
Chen, J., et al. (2022), Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold-Air Outbreak over the Western North Atlantic, J. Atmos. Sci., 79, 2863-2879, doi:10.1175/JAS-D-22-0034.1.
Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
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.
Hilario, M., et al. (2022), Particulate Oxalate-To-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations, Geophys. Res. Lett..
Kacenelenbogen, M. S., et al. (2022), Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., doi:10.5194/acp-22-3713-2022.
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.
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.
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.
Aldhaif, A. M., et al. (2021), An Aerosol Climatology and Implications for Clouds at a Remote Marine Site: Case Study Over Bermuda, J. Geophys. Res., 126, doi:10.1029/2020JD034038.
Braun, R., et al. (2021), Cloud, Aerosol, and Radiative Properties Over the Western North Atlantic Ocean, J. Geophys. Res..
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.
Dadashazar, H., et al. (2021), Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors, Atmos. Chem. Phys., 21, 10499-10526, doi:10.5194/acp-21-10499-2021.
Dadashazar, H., et al. (2021), Aerosol responses to precipitation along North American air trajectories arriving at Bermuda, Atmos. Chem. Phys., 21, 16121-16141, doi:10.5194/acp-21-16121-2021.
Edwards, E., et al. (2021), Impact of various air mass types on cloud condensation nuclei concentrations along coastal southeast Florida, Atmos. Environ., 254, 118371, doi:10.1016/j.atmosenv.2021.118371.
Gonzalez, M. E., et al. (2021), Contrasting the size-resolved nature of particulate arsenic, cadmium, and lead among diverse regions, Atmospheric Pollution Research, xxx, doi:10.1016/j.apr.2021.01.002.
Hilario, M., et al. (2021), Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP2Ex aircraft campaign: chemical composition, size distributions, and the impact of convection, Atmos. Chem. Phys., 21, 3777-3802, doi:10.5194/acp-21-3777-2021.
Lorenzo, G. R., et al. (2021), Measurement report: Firework impacts on air quality in Metro Manila, Philippines, during the 2019 New Year revelry, Atmos. Chem. Phys., 21, 6155-6173, doi:10.5194/acp-21-6155-2021.
Ma, L., et al. (2021), Contrasting wet deposition composition between three diverse islands and coastal North American sites, Atmos. Environ., 244, 117919, doi:10.1016/j.atmosenv.2020.117919.
Mardi, A. H., et al. (2021), Biomass Burning Over the United States East Coast and Western North Atlantic Ocean: Implications for Clouds and Air Quality, J. Geophys. Res., 126, e2021JD034916, doi:10.1029/2021JD034916.
Painemal, D., et al. (2021), All Rights Reserved. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast— Part 2: Circulation, Boundary Layer, and Clouds, J. Geophys. Res., 126, e2020JD033423, doi:10.1029/2020JD033423.
Seethala, C., et al. (2021), On Assessing ERA5 and MERRA2 Representations of Cold-Air Outbreaks Across the Gulf Stream, Geophys. Res. Lett..
Aldhaif, A. M., et al. (2020), Sources, frequency, and chemical nature of dust events impacting the United States East Coast, Atmos. Environ., 231, 117456, doi:10.1016/j.atmosenv.2020.117456.
Braun, R. A., et al. (2020), Long-range aerosol transport and impacts on size-resolved aerosol composition in Metro Manila, Philippines, Atmos. Chem. Phys., 20, 2387-2405, doi:10.5194/acp-20-2387-2020.
Hilario, M., et al. (2020), Characterizing Weekly Cycles of Particulate Matter in a Coastal Megacity: The Importance of a Seasonal, Size‐Resolved, and Chemically Speciated Analysis, J. Geophys. Res., 125, e2020JD032614, doi:10.1029/2020JD032614.
MacDonald, A. B., et al. (2020), On the relationship between cloud water composition and cloud droplet number concentration, Atmos. Chem. Phys., 20, 7645-7665, doi:10.5194/acp-20-7645-2020.
Park, H. J., et al. (2020), Predicting Vertical Concentration Profiles in the Marine Atmospheric Boundary Layer With a Markov Chain Random Walk Model, J. Geophys. Res., 125, e2020JD032731, doi:10.1029/2020JD032731.
Schlosser, J., et al. (2020), Relationships Between Supermicrometer Sea Salt Aerosol and Marine Boundary Layer Conditions: Insights From Repeated Identical Flight Patterns, J. Geophys. Res., 125, e2019JD032346, doi:10.1029/2019JD032346.
Schulze, B. C., et al. (2020), Accepted article online 3 JUN 2020 Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations, Earth and Space Science, 7, e2020EA001098, doi:10.1029/2020EA001098.
Stahl, C., et al. (2020), Sorooshian, A, Philippines. Scientific Data, 7, 128, doi:10.1038/s41597-020-0466-y.
Stahl, C., et al. (2020), Sources and characteristics of size-resolved particulate organic acids and methanesulfonate in a coastal megacity: Manila, Philippines, Atmos. Chem. Phys., 20, 15907-15935, doi:10.5194/acp-20-15907-2020.
AzadiAghdam, M., et al. (2019), On the nature of sea salt aerosol at a coastal megacity: Insights from Manila, T Philippines in Southeast Asia, Atmos. Environ., 216, 116922, doi:10.1016/j.atmosenv.2019.116922.
Brunke, M. A., et al. (2019), All Rights Reserved. Subtropical Marine Low Stratiform Cloud Deck Spatial Errors in the E3SMv1 Atmosphere Model, Geophys. Res. Lett., 46, 12,598-12,607, doi:10.1029/2019GL084747.
Cruz, M. T., et al. (2019), Size-resolved composition and morphology of particulate matter during the southwest monsoon in Metro Manila, Philippines, Atmos. Chem. Phys., 19, 10675-10696, doi:10.5194/acp-19-10675-2019.
Mardi, A. H., et al. (2019), All Rights Reserved. Effects of Biomass Burning on Stratocumulus Droplet Characteristics, Drizzle Rate, and Composition, J. Geophys. Res., 124, 12,301-12,318, doi:10.1029/2019JD031159.
Aldhaif, A. M., et al. (2018), Characterization of the Real Part of Dry Aerosol Refractive Index Over North America From the Surface to 12 km, J. Geophys. Res., 123, doi:10.1029/2018JD028504.
Brune, W. H., et al. (2018), Atmospheric oxidation in the presence of clouds during the Deep Convective Clouds and Chemistry (DC3) study, Atmos. Chem. Phys., 18, 14493-14510, doi:10.5194/acp-18-14493-2018.
Ervens, B., et al. (2018), Is there an aerosol signature of chemical cloud processing?, Atmos. Chem. Phys., 18, 16099-16119, doi:10.5194/acp-18-16099-2018.
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.
Dadashazar, H., et al. (2017), Relationships between giant sea salt particles and clouds inferred from aircraft physicochemical data, J. Geophys. Res., 122, 3421-3434, doi:10.1002/2016JD026019.
Perring, A., et al. (2017), In situ measurements of water uptake by black carbon-containing aerosol in wildfire plumes, J. Geophys. Res., 122, 1086-1097, doi:10.1002/2016JD025688.
Crosbie, E., et al. (2016), Stratocumulus Cloud Clearings and Notable Thermodynamic and Aerosol Contrasts across the Clear–Cloudy Interface, J. Atmos. Sci., 73, 1083-1099, doi:10.1175/JAS-D-15-0137.1.
Raman, A., A. Arellano, and A. Sorooshian (2016), Decreasing Aerosol Loading in the North American Monsoon Region, Atmosphere, 7, 24, doi:10.3390/atmos7020024.
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.
Shingler, T., et al. (2016), Ambient observations of hygroscopic growth factor and f(RH) below 1: Case studies from surface and airborne measurements, J. Geophys. Res., 121, doi:10.1002/2016JD025471.
Wang, Z., et al. (2016), Contrasting cloud composition between coupled and decoupled marine boundary layer clouds, J. Geophys. Res., 121, doi:10.1002/2016JD025695.
Hersey, S. P., et al. (2015), An overview of regional and local characteristics of aerosols in South Africa using satellite, ground, and modeling data, Atmos. Chem. Phys., 15, 4259-4278, doi:10.5194/acp-15-4259-2015.
Crosbie, E., et al. (2014), A Multi-Year Aerosol Characterization for the Greater Tehran Area Using Satellite, Surface, and Modeling Data, Atmosphere, 5, 178-197, doi:10.3390/atmos5020178.
Gentry, D., et al. (2007), Coastal California Fog as a Unique Habitable Niche: Design for Autonomous Sampling and Preliminary Aerobiological Characterization.

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

NASA - National Aeronautics and Space Administration

Log in to AVE-Houston2

Search form

AVE-Houston2

Armin Sorooshian