ATom: Black Carbon Mass Mixing Ratios from ATom-1 Flights

Description

This dataset provides black carbon (BC) mass mixing ratios (in units of ng BC / kg air) measured during NASA's Atmospheric Tomography (ATom)-1 flight campaign during July and August 2016. The BC-core masses of BC-containing aerosol particles were measured using a Single Particle Soot Photometer (SP2). Conversion to mass mixing ratio (MMR) is achieved by monitoring sample flow. Influences in air mass composition were determined using the Particle Analysis by Laser Mass Spectrometry (PALMS) instruments. Also included here are data from the Cloud, Aerosol and Precipitation Spectrometer (CAPS) instrument which are used to identify measurements taken while in clouds. Finally, the associated latitude, longitude, altitude, and the timestamp of each measurement are included. All data are at ten seconds resolution. ATom-1 flights originated from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America.

Resources

Name Format Description Link
Download this dataset HTML This link allows direct data access via Earthdata login Open resource
The dataset's project home page HTML ATom campaign page Open resource
Get a related visualization PNG Figure 1: Left: Flight tracks (colored line) of the NASA DC-8 during the ATom-1 deployment. Right: Altitude vs latitude for the Pacific (top) and Atlantic (bottom) basins. Color in both figures represents black carbon mass-mixing ratio in units of ng rBC/kg of air. Open resource
View documentation related to this dataset HTML ORNL DAAC Data Set Documentation Open resource
View documentation related to this dataset PDF ATom: Black Carbon Mass Mixing Ratios from SP2 and PALMS for ATom-1 Flights: ATom_Carbon_Aerosol_Loadings.pdf Open resource
This dataset's landing page HTML Data set Landing Page DOI URL Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource

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