Creator: ORNL_CLOUD
Keywords: Air Quality,Aerosols

Data at a Glance

Description

This dataset provides the number, surface area, and volume concentrations and size distributions of dry aerosol particles measured by the Aerosol Microphysical Properties (AMP) instrument package during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. Five instruments--two nucleation-mode aerosol size spectrometers (NMASS), two ultra-high sensitivity aerosol spectrometers (UHSAS), and a laser aerosol spectrometer (LAS)--comprise the AMP package. The AMP payload provides size distributions with up to one-second time resolution for dry aerosol particles between 0.003 and 4.8 microns in diameter.

Product Summary

Platforms

NASA DC-8

Instruments

LASER SPECTROMETER

Projects

ATom

Spatial Extent

N: 90 S: -90 E: 180 W: -180

Location

GLOBAL

Coordinate System

CARTESIAN

Granule Spatial Representation

CARTESIAN

Temporal Extent

2016-07-29 to 2018-05-21

Data Partner

THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)

Concept ID

C3012767955-ORNL_CLOUD

Data State

COMPLETE

Number of Files/Granules

Processing Level

Published

2019-06-13

Updated

2024-05-17

Science Keywords

Air Quality ,

Aerosols

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

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Brock, C. A., Kupc, A., Williamson, C. J., Froyd, K. D., Erdesz, F., Murphy, D. M., Schill, G. P., Gesler, D. W., Mclaughlin, R. J., Richardson, M., Wagner, N. L., & Wilson, J. C. (2019). ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP) (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1671 Date Accessed: 2026-10-02

Documents

USER'S GUIDE

ORNL DAAC Data Set Documentation

GENERAL DOCUMENTATION

ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP): ATom_AMP_Instrument_Data.pdf

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Publications Citing This Dataset

Title	Authors	Year Sort ascending	Referenced Datasets
Numerical simulation and evaluation of global ultrafine particle	Kohl, Matthias, Lelieveld, Jos, Chowdhury, Sourangsu, Ehrhart, Sebastian, Sharma, Disha, Cheng, Yafang, Tripathi, Sachchida Nand, Sebastian, Mathew, Pandithurai, Govindan, Wang, Hongli, Pozzer, Andrea	2023	Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11 ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP)
The importance of size ranges in aerosol instrument intercomparisons: a case study for the Atmospheric Tomography Mission	Guo, Hongyu, Campuzano-Jost, Pedro, Nault, Benjamin A., Day, Douglas A., Schroder, Jason C., Kim, Dongwook, Dibb, Jack E., Dollner, Maximilian, Weinzierl, Bernadett, Jimenez, Jose L.	2021	ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols ATom: L2 Measurements from CU High-Resolution Aerosol Mass Spectrometer (HR-AMS) ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP) ATom: Measurements of Soluble Acidic Gases and Aerosols (SAGA)
Chemical transport models often underestimate inorganic aerosol acidity in remote regions of the atmosphere	Nault, Benjamin A., Campuzano-Jost, Pedro, Day, Douglas A., Jo, Duseong S., Schroder, Jason C., Allen, Hannah M., Bahreini, Roya, Bian, Huisheng, Blake, Donald R., Chin, Mian, Clegg, Simon L., Colarco, Peter R., Crounse, John D., Cubison, Michael J., DeCarlo, Peter F., Dibb, Jack E., Diskin, Glenn S., Hodzic, Alma, Hu, Weiwei, Katich, Joseph M., Kim, Michelle J., Kodros, John K., Kupc, Agnieszka, Lopez-Hilfiker, Felipe D., Marais, Eloise A., Middlebrook, Ann M., Andrew Neuman, J., Nowak, John B., Palm, Brett B., Paulot, Fabien, Pierce, Jeffrey R., Schill, Gregory P., Scheuer, Eric, Thornton, Joel A., Tsigaridis, Kostas, Wennberg, Paul O., Williamson, Christina J., Jimenez, Jose L.	2021	ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP) Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity
Machine Learning Uncovers Aerosol Size Information From Chemistry and Meteorology to Quantify Potential CloudForming Particles	Nair, Arshad Arjunan, Yu, Fangqun, CampuzanoJost, Pedro, DeMott, Paul J., Levin, Ezra J. T., Jimenez, Jose L., Peischl, Jeff, Pollack, Ilana B., Fredrickson, Carley D., Beyersdorf, Andreas J., Nault, Benjamin A., Park, Minsu, Yum, Seong Soo, Palm, Brett B., Xu, Lu, Bourgeois, Ilann, Anderson, Bruce E., Nenes, Athanasios, Ziemba, Luke D., Moore, Richard H., Lee, Taehyoung, Park, Taehyun, Thompson, Chelsea R., Flocke, Frank, Huey, Lewis Gregory, Kim, Michelle J., Peng, Qiaoyun	2021	ATom: L2 In Situ Measurements from NOAA Nitrogen Oxides and Ozone (NOyO3) Instrument ATom: L2 Measurements from CU High-Resolution Aerosol Mass Spectrometer (HR-AMS) ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP) ATom: L2 In Situ Data from Caltech Chemical Ionization Mass Spectrometer (CIT-CIMS)

ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP)