Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations

Leveraging aerosol data from multiple airborne and surface-based field campaigns encompassing diverse environmental conditions, we calculate statistics of the oxalate-sulfate mass ratio (median: 0.0217; 95% confidence interval: 0.0154 – 0.0296; R = 0.76; N = 2948). Ground-based measurements of the o...

Full description

Saved in:
Bibliographic Details
Main Authors: Hilario, Miguel Ricardo A, Crosbie, Ewan, Bañaga, Paola Angela, Betito, Grace, Braun, Rachel A, Cambaliza, Maria Obiminda L, Corral, Andrea F, Cruz, Melliza Templonuevo, Dibb, Jackie E, Lorenzo, Genevieve Rose, MacDonald, Alexander B, Robinson, Claire E, Shook, Michael, Simpas, James Bernard, Stahl, Connor, Winstead, Edward, Ziemba, Luke, Sorooshian, Armin
Format: text
Published: Archīum Ateneo 2021
Subjects:
Online Access:https://archium.ateneo.edu/physics-faculty-pubs/80
https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1082&context=physics-faculty-pubs
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Ateneo De Manila University
id ph-ateneo-arc.physics-faculty-pubs-1082
record_format eprints
spelling ph-ateneo-arc.physics-faculty-pubs-10822022-02-09T06:34:05Z Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations Hilario, Miguel Ricardo A Crosbie, Ewan Bañaga, Paola Angela Betito, Grace Braun, Rachel A Cambaliza, Maria Obiminda L Corral, Andrea F Cruz, Melliza Templonuevo Dibb, Jackie E Lorenzo, Genevieve Rose MacDonald, Alexander B Robinson, Claire E Shook, Michael Simpas, James Bernard Stahl, Connor Winstead, Edward Ziemba, Luke Sorooshian, Armin Leveraging aerosol data from multiple airborne and surface-based field campaigns encompassing diverse environmental conditions, we calculate statistics of the oxalate-sulfate mass ratio (median: 0.0217; 95% confidence interval: 0.0154 – 0.0296; R = 0.76; N = 2948). Ground-based measurements of the oxalate-sulfate ratio fall within our 95% confidence interval, suggesting the range is robust within the mixed layer for the submicrometer particle size range. We demonstrate that dust and biomass burning emissions can separately bias this ratio towards higher values by at least one order of magnitude. In the absence of these confounding factors, the 95% confidence interval of the ratio may be used to estimate the relative extent of aqueous processing by comparing inferred oxalate concentrations between air masses, with the assumption that sulfate primarily originates from aqueous processing. 2021-10-11T07:00:00Z text application/pdf https://archium.ateneo.edu/physics-faculty-pubs/80 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1082&context=physics-faculty-pubs Physics Faculty Publications Archīum Ateneo Atmospheric Sciences Physics
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Atmospheric Sciences
Physics
spellingShingle Atmospheric Sciences
Physics
Hilario, Miguel Ricardo A
Crosbie, Ewan
Bañaga, Paola Angela
Betito, Grace
Braun, Rachel A
Cambaliza, Maria Obiminda L
Corral, Andrea F
Cruz, Melliza Templonuevo
Dibb, Jackie E
Lorenzo, Genevieve Rose
MacDonald, Alexander B
Robinson, Claire E
Shook, Michael
Simpas, James Bernard
Stahl, Connor
Winstead, Edward
Ziemba, Luke
Sorooshian, Armin
Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations
description Leveraging aerosol data from multiple airborne and surface-based field campaigns encompassing diverse environmental conditions, we calculate statistics of the oxalate-sulfate mass ratio (median: 0.0217; 95% confidence interval: 0.0154 – 0.0296; R = 0.76; N = 2948). Ground-based measurements of the oxalate-sulfate ratio fall within our 95% confidence interval, suggesting the range is robust within the mixed layer for the submicrometer particle size range. We demonstrate that dust and biomass burning emissions can separately bias this ratio towards higher values by at least one order of magnitude. In the absence of these confounding factors, the 95% confidence interval of the ratio may be used to estimate the relative extent of aqueous processing by comparing inferred oxalate concentrations between air masses, with the assumption that sulfate primarily originates from aqueous processing.
format text
author Hilario, Miguel Ricardo A
Crosbie, Ewan
Bañaga, Paola Angela
Betito, Grace
Braun, Rachel A
Cambaliza, Maria Obiminda L
Corral, Andrea F
Cruz, Melliza Templonuevo
Dibb, Jackie E
Lorenzo, Genevieve Rose
MacDonald, Alexander B
Robinson, Claire E
Shook, Michael
Simpas, James Bernard
Stahl, Connor
Winstead, Edward
Ziemba, Luke
Sorooshian, Armin
author_facet Hilario, Miguel Ricardo A
Crosbie, Ewan
Bañaga, Paola Angela
Betito, Grace
Braun, Rachel A
Cambaliza, Maria Obiminda L
Corral, Andrea F
Cruz, Melliza Templonuevo
Dibb, Jackie E
Lorenzo, Genevieve Rose
MacDonald, Alexander B
Robinson, Claire E
Shook, Michael
Simpas, James Bernard
Stahl, Connor
Winstead, Edward
Ziemba, Luke
Sorooshian, Armin
author_sort Hilario, Miguel Ricardo A
title Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations
title_short Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations
title_full Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations
title_fullStr Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations
title_full_unstemmed Particulate Oxalate-to-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations
title_sort particulate oxalate-to-sulfate ratio as an aqueous processing marker: similarity across field campaigns and limitations
publisher Archīum Ateneo
publishDate 2021
url https://archium.ateneo.edu/physics-faculty-pubs/80
https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1082&context=physics-faculty-pubs
_version_ 1728621366672883712