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Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity

Metadata Updated: December 6, 2023

This dataset provides observations collected during eleven airborne campaigns from 2006–2017 and associated input and output from nine widely used chemical transport models (CTMs). The airborne campaigns include ARCTAS-A, ARCTAS-B, ATom-1 and ATom-2, CalNex, DC3, INTEX-B, KORUS-AQ, MILAGRO, SEAC4RS, and WINTER, and they sampled mainly tropospheric air over the conterminous U.S. and the state of Alaska, Mexico, Canada, Greenland, and South Korea and remote areas over the Arctic, Pacific, Southern, and Atlantic Oceans. The CTMs are the AM4.1, CCSM4, GEOS-5, GEOS-Chem TOMAS, GEOS-Chem v10, GEOS-Chem v12, GISS-MATRIX, GISS-ModelE, and TM4-ECPL-F, and the output includes sulfate, nitrate, temperature, specific humidity, mixing ratio of ammonium, the volume mixing ratio of nitric acid, surface pressure, gas-phase ammonia, gas-phase nitric acid, pressure, total ammonium, etc. The observations were collected in-situ from a variety of instruments, including the Aerosol Microphysical Properties (AMP), HR Aerodyne Aerosol Mass Spectrometer (AMS), CIT Chemical Ionization Mass Spectrometer (CIMS), diode laser hygrometer (DLH), a mist chamber/ion chromatography system (MC/IC), Particle Analysis by Laser Mass Spectrometer (PALMS), Single Particle Soot Photometer (SP2), and UCI Whole Air Sampler (WAS). In-situ data also include latitude, longitude, and pressure. These observations were used to investigate how aerosol pH and ammonium balance change from polluted to remote regions, such as over oceans, and were compared to predictions from the CTMs.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 27, 2023
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Flight tracks for airborne campaigns in this dataset.

Additional Metadata

Resource Type Dataset
Metadata Created Date June 27, 2023
Metadata Updated Date December 6, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2698474800-ORNL_CLOUD
Data First Published 2022-03-17
Language en-US
Data Last Modified 2023-06-12
Category ATom, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Nault, B.A., P. Campuzano-Jost, D.A. Day, D.S. Jo, J.C. Schroder, H.M. Allen, R. Bahreini, H. Bian, D.R. Blake, M. Chin, S.L. Clegg, P.R. Colarco, J.D. Crounse, M.J. Cubison, P.F. Decarlo, J.E. Dibb, G.S. Diskin, A. Hodzic, W. Hu, J.M. Katich, J.K. Kodros, A. Kupc, F.D. Lopez-Hilfiker, E.A. Marais, A.M. Middlebrook, J.A. Neuman, J.B. Nowak, B.B. Palm, F. Paulot, J.R. Pierce, G.P. Schill, E. Scheuer, J.A. Thornton, K. Tsigaridis, P.O. Wennberg, C.J. Williamson, and J.L. Jimenez. 2022. Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1857
Graphic Preview Description Flight tracks for airborne campaigns in this dataset.
Graphic Preview File https://daac.ornl.gov/ATOM/guides/ATom_Modeled_Observed_Data_Fig1.png
Harvest Object Id 6f701ba9-83cb-4e10-99af-3e4b32b289f0
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/1857
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Source Datajson Identifier True
Source Hash 59e21d77af8442a1d3905eebc3e78e553b15c1b9d2f41d9fd723083f2d66d41c
Source Schema Version 1.1
Spatial
Temporal 2006-01-01T00:00:00Z/2017-08-01T23:59:59Z

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