Physical Sciences and Mathematics Commons^™

Data In Support Of The Paper "Dependence Of Aerosol-Droplet Partitioning On Turbulence In A Laboratory Cloud", Abu Sayeed Md Shawon, Prasanth Prabhakaran, Gregory Kinney, Raymond Shaw, Will Cantrell

Michigan Tech Research Data

No abstract provided.

Glyoxal’S Impact On Dry Ammonium Salts: Fast And Reversible Surface Aerosol Browning (Raw Data), David O. De Haan Phd, Lelia N. Hawkins Phd, Margaret A. Tolbert Phd, Jean-François Doussin

Chemistry and Biochemistry: Faculty Scholarship

Alpha-dicarbonyl compounds are believed to form brown carbon in the atmosphere via reactions with ammonium sulfate (AS) in cloud droplets and aqueous aerosol particles. In this work, brown carbon formation in AS and other aerosol particles was quantified as a function of relative humidity (RH) during exposure to gas-phase glyoxal (GX) in chamber experiments. Under dry conditions (RH < 5%), solid AS, AS/glycine, and methylammonium sulfate aerosol particles brown within minutes upon exposure to GX, while sodium sulfate particles do not. When GX concentrations decline, browning goes away, demonstrating that this dry browning process is reversible. Declines in aerosol albedo are found to be a function of [GX]2, and are consistent between AS and AS/glycine aerosol. Dry methylammonium sulfate aerosol browns 4´ more than dry AS aerosol, but deliquesced AS aerosol browns much less than dry AS aerosol. Optical measurements at 405, 450, and 530 nm provide an estimated Ångstrom absorbance coefficient of -16 ±4. This coefficient and the empirical relationship between GX and albedo are used to estimate an upper limit to global radiative forcing by brown carbon formed by 70 ppt GX reacting with AS (+7.6 ´10-5 W/m2). This quantity is < 1% of the total radiative forcing by secondary brown carbon, but occurs almost entirely in the ultraviolet range.

The zipped data files are in the following formats: Igor experiments (.pxp), Word documents (.docx), Excel spreadsheets (.xlsx), organized by experiment number. “Optical” files contain cavity attenuated phase shift (CAPS) extinction, scattering and albedo data; PILS/waveguide data (experiments 1,2, and 5 only); …

Data For Paper "Agile Adaptive Radar Sampling Of Fast-Evolving Atmospheric Phenomena Guided By Satellite Imagery And Surface Cameras", Mariko Oue, Pavlos Kollias, Edward Luke, Katia Lamer

SoMAS Research Data

The data include:

• Stony Brook University phased array radar (SKYLER) data collected on August 21, 2019 and September 2, 2019.
• Stony Brook University Ka-band scanning polarimetric cloud radar (KASPR) data collected on August 21, 2019, August 25, 2019, and September 2, 2019.

Those data were used in the paper "Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras" submitted to Geophysical Research Letters.

Analysis Of Concurrent Backscatter Coefficients From In-Situ Cloud Probes And Airborne Lidar, Shawn Wagner, David J. Delene

Datasets

The North Dakota Citation Research Aircraft obtained measurements of anvil cirrus clouds over Florida during the summer of 2015 (CAPE2015). The Citation is fitted to take measurements of atmospheric variables (pressure, temperature, dew point, wind velocity, etc...) as well as cloud particle properties (concentration, size-distribution, water content, etc...). Data (at 1 Hz) is included from four flights occuring on 31 July 2015, 1 August 2015, and 2 August 2015. Cloud properties were measured by the Two-Dimensional Stereo probe (2D-S), the High-Volume Precipitation Spectrometer (HVPS3) probe and the Nevzorov probe. Additionally, particle data from the 2D-S and HVPS3 are combined to …

A Multi-Platform, In-Situ Kinematic And Microphysical Analysis Of A Parallel Stratiform-Mesoscale-Convective System, Andrea Neumann, Michael Poellet, David J. Delene, Mark Askelson, Kirk North, Mariko Oue

Datasets

The North Dakota Citation Research Aircraft obtained measurements of stratiform precipitation clouds within mesoscale convective systems over Oklahoma during the spring of 2011 (MC3E) in conjunction with a multitude of ground- and airborne-based remote sensing instruments. The Citation was used to take measurements of base atmospheric variables as well as cloud and precipitation properties. Cloud droplet properties were measured by the Cloud Imaging Probe (CIP), Two-Dimensional Cloud probe (2D-C), the High-Volume Precipitation Spectrometer Version 3 (HVPS3) probe, with the spectra from these probes combined to create a single drop size distribution. The Atmospheric Radiation Measurement (ARM) program ran three X-Band …

Multi-Doppler Radar Wind Retrieval Data For Deep Convective Clouds Observed In The Southern Great Plains On May 11, 2011, Mariko Oue, Kirk North, Andrea Neumann

SoMAS Research Data

The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program’s Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. The multi-Doppler radar reflectivity and velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm to retrieve horizontal and vertical air motions in deep convective clouds. The data includes the 3D wind fields retrieved over a large analysis domain (100 km x 100 km) at storm-scale …

Multi-Doppler Radar Wind Retrieval Data For Deep Convective Cloud Observed On May 11, 2020, Mariko Oue, Kirk North, Andrea Neumann

SoMAS Research Data

The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program’s Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. The multi-Doppler radar reflectivity and velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm to retrieve horizontal and vertical air motions in deep convective clouds. The data includes the 3D wind fields retrieved over a large analysis domain (100 km x 100 km) at storm-scale …