Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity
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,...
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University of New Hampshire Scholars' Repository
2022
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Online Access: | https://scholars.unh.edu/faculty_pubs/1446 https://doi.org/10.3334/ORNLDAAC/1857; https://doi.org/10.3334/ORNLDAAC/1857 |
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ftuninhampshire:oai:scholars.unh.edu:faculty_pubs-2452 2024-02-11T10:01:27+01:00 Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity Nault, Benjamin A. Campuzano-Jost, Pedro Day, Douglas A. Jo, D. 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. Kodros, John K. Kupc, Agnieszka Lopez-Hilfiker, F. D. Marais, E. A. Middlebrook, A. M. Neuman, J. A. Nowak, J. B. Palm, B. B. Paulot, F. Pierce, J. R. Schill, G. P. Scheuer, E. Thornton, J. A. Tsigaridis, K. Wennberg, P. O. Williamson, C. J. Jimenez, J. L. 2022-03-17T07:00:00Z https://scholars.unh.edu/faculty_pubs/1446 https://doi.org/10.3334/ORNLDAAC/1857; https://doi.org/10.3334/ORNLDAAC/1857 unknown University of New Hampshire Scholars' Repository https://scholars.unh.edu/faculty_pubs/1446 doi: https://dx.doi.org/10.3334/ORNLDAAC/1857 https://doi.org/10.3334/ORNLDAAC/1857 Faculty Publications text 2022 ftuninhampshire https://doi.org/10.3334/ORNLDAAC/1857;10.3334/ORNLDAAC/1857 2024-01-25T18:44:57Z 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. Text Arctic Greenland Alaska University of New Hampshire: Scholars Repository Arctic Canada Greenland Pacific |
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Open Polar |
collection |
University of New Hampshire: Scholars Repository |
op_collection_id |
ftuninhampshire |
language |
unknown |
description |
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. |
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Nault, Benjamin A. Campuzano-Jost, Pedro Day, Douglas A. Jo, D. 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. Kodros, John K. Kupc, Agnieszka Lopez-Hilfiker, F. D. Marais, E. A. Middlebrook, A. M. Neuman, J. A. Nowak, J. B. Palm, B. B. Paulot, F. Pierce, J. R. Schill, G. P. Scheuer, E. Thornton, J. A. Tsigaridis, K. Wennberg, P. O. Williamson, C. J. Jimenez, J. L. |
spellingShingle |
Nault, Benjamin A. Campuzano-Jost, Pedro Day, Douglas A. Jo, D. 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. Kodros, John K. Kupc, Agnieszka Lopez-Hilfiker, F. D. Marais, E. A. Middlebrook, A. M. Neuman, J. A. Nowak, J. B. Palm, B. B. Paulot, F. Pierce, J. R. Schill, G. P. Scheuer, E. Thornton, J. A. Tsigaridis, K. Wennberg, P. O. Williamson, C. J. Jimenez, J. L. Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity |
author_facet |
Nault, Benjamin A. Campuzano-Jost, Pedro Day, Douglas A. Jo, D. 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. Kodros, John K. Kupc, Agnieszka Lopez-Hilfiker, F. D. Marais, E. A. Middlebrook, A. M. Neuman, J. A. Nowak, J. B. Palm, B. B. Paulot, F. Pierce, J. R. Schill, G. P. Scheuer, E. Thornton, J. A. Tsigaridis, K. Wennberg, P. O. Williamson, C. J. Jimenez, J. L. |
author_sort |
Nault, Benjamin A. |
title |
Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity |
title_short |
Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity |
title_full |
Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity |
title_fullStr |
Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity |
title_full_unstemmed |
Airborne Observations and Modeling Comparison of Global Inorganic Aerosol Acidity |
title_sort |
airborne observations and modeling comparison of global inorganic aerosol acidity |
publisher |
University of New Hampshire Scholars' Repository |
publishDate |
2022 |
url |
https://scholars.unh.edu/faculty_pubs/1446 https://doi.org/10.3334/ORNLDAAC/1857; https://doi.org/10.3334/ORNLDAAC/1857 |
geographic |
Arctic Canada Greenland Pacific |
geographic_facet |
Arctic Canada Greenland Pacific |
genre |
Arctic Greenland Alaska |
genre_facet |
Arctic Greenland Alaska |
op_source |
Faculty Publications |
op_relation |
https://scholars.unh.edu/faculty_pubs/1446 doi: https://dx.doi.org/10.3334/ORNLDAAC/1857 https://doi.org/10.3334/ORNLDAAC/1857 |
op_doi |
https://doi.org/10.3334/ORNLDAAC/1857;10.3334/ORNLDAAC/1857 |
_version_ |
1790597250360016896 |