TY - JOUR
T1 - Constraining Present-Day Anthropogenic Total Iron Emissions Using Model and Observations
AU - Rathod, Sagar D.
AU - Hamilton, Douglas S.
AU - Nino, Lance
AU - Kreidenweis, Sonia M.
AU - Bian, Qijing
AU - Mahowald, Natalie M.
AU - Alastuey, Andres
AU - Querol, Xavier
AU - Paytan, Adina
AU - Artaxo, Paulo
AU - Herut, Barak
AU - Gaston, Cassandra
AU - Prospero, Joseph
AU - Chellam, Shankararaman
AU - Hueglin, Christoph
AU - Varrica, Daniela
AU - Dongarra, Gaetano
AU - Cohen, David D.
AU - Smichowski, Patricia
AU - Gomez, Dario
AU - Lambert, Fabrice
AU - Barraza, Francisco
AU - Bergametti, Gilles
AU - Rodríguez, Sergio
AU - Gonzalez-Ramos, Yenny
AU - Hand, Jenny
AU - Kyllönen, Katriina
AU - Hakola, Hannele
AU - Chuang, Patrick
AU - Hopke, Philip K.
AU - Harrison, Roy M.
AU - Martin, Randall V.
AU - Walsh, Brenna
AU - Weagle, Crystal
AU - Maenhaut, Willy
AU - Morera-Gómez, Yasser
AU - Chen, Yu Cheng
AU - Pierce, Jeffrey R.
AU - Bond, Tami C.
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/9/16
Y1 - 2024/9/16
N2 - Iron emissions from human activities, such as oil combustion and smelting, affect the Earth's climate and marine ecosystems. These emissions are difficult to quantify accurately due to a lack of observations, particularly in remote ocean regions. In this study, we used long-term, near-source observations in areas with a dominance of anthropogenic iron emissions in various parts of the world to better estimate the total amount of anthropogenic iron emissions. We also used a statistical source apportionment method to identify the anthropogenic components and their sub-sources from bulk aerosol observations in the United States. We find that the estimates of anthropogenic iron emissions are within a factor of 3 in most regions compared to previous inventory estimates. Under- or overestimation varied by region and depended on the number of sites, interannual variability, and the statistical filter choice. Smelting-related iron emissions are overestimated by a factor of 1.5 in East Asia compared to previous estimates. More long-term iron observations and the consideration of the influence of dust and wildfires could help reduce the uncertainty in anthropogenic iron emissions estimates.
AB - Iron emissions from human activities, such as oil combustion and smelting, affect the Earth's climate and marine ecosystems. These emissions are difficult to quantify accurately due to a lack of observations, particularly in remote ocean regions. In this study, we used long-term, near-source observations in areas with a dominance of anthropogenic iron emissions in various parts of the world to better estimate the total amount of anthropogenic iron emissions. We also used a statistical source apportionment method to identify the anthropogenic components and their sub-sources from bulk aerosol observations in the United States. We find that the estimates of anthropogenic iron emissions are within a factor of 3 in most regions compared to previous inventory estimates. Under- or overestimation varied by region and depended on the number of sites, interannual variability, and the statistical filter choice. Smelting-related iron emissions are overestimated by a factor of 1.5 in East Asia compared to previous estimates. More long-term iron observations and the consideration of the influence of dust and wildfires could help reduce the uncertainty in anthropogenic iron emissions estimates.
KW - anthropogenic
KW - constraining
KW - emissions
KW - iron
KW - long-term
KW - observations
UR - http://www.scopus.com/inward/record.url?scp=85202545226&partnerID=8YFLogxK
U2 - 10.1029/2023JD040332
DO - 10.1029/2023JD040332
M3 - Article
AN - SCOPUS:85202545226
SN - 2169-897X
VL - 129
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 17
M1 - e2023JD040332
ER -