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Title: Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0)

Abstract

Abstract. Herein, we present a description of the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0). This iron processing module was developed for use within Earth system models and has been updated within a modal aerosol framework from the original implementation in a bulk aerosol model. MIMI simulates the emission and atmospheric processing of two main sources of iron in aerosol prior to deposition: mineral dust and combustion processes. Atmospheric dissolution of insoluble to soluble iron is parameterized by an acidic interstitial aerosol reaction and a separatein-cloud aerosol reaction scheme based on observations of enhanced aerosol iron solubility in the presence of oxalate. Updates include a more comprehensive treatment of combustion iron emissions, improvements to the iron dissolution scheme, and an improved physical dust mobilization scheme.An extensive dataset consisting predominantly of cruise-based observations was compiled to compare to the model. The annual mean model led concentration of surface-level total iron compared well with observations but less so in the soluble fraction (iron solubility) for which observations are much more variable in space and time. Comparing model and observational data is sensitive to the definition of the average as well as the temporal and spatial range over which it ismore » calculated. Through statistical analysis and examples, we show that a median or log-normal distribution is preferred when comparing with soluble iron observations. The iron solubility calculated at each model time step versus that calculated based on a ratio of the monthly mean values, which is routinely presented in aerosol studies and used in ocean biogeochemistry models, is on average globally one-third(34 %) higher. We redefined ocean deposition regions based on dominant iron emission sources and found that the daily variability in soluble iron simulated by MIMI was larger than that of previous model simulations. MIMI simulated a general increase in soluble iron deposition to Southern Hemisphere oceans by a factor of 2 to 4 compared with the previous version, which has implications for our understanding of the ocean biogeochemistry of these predominantly iron-limited ocean regions.« less

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3];  [1]; ORCiD logo [4];  [1];  [5];  [6];  [1]; ORCiD logo [5];  [1]
  1. Cornell Univ., Ithaca, NY (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
  4. Univ. of California, Los Angeles, CA (United States)
  5. Univ. of Wyoming, Laramie, WY (United States)
  6. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Science Foundation (NSF); National Aeronautic and Space Administration (NASA); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Earth System Modeling; USDOE
OSTI Identifier:
1560230
Alternate Identifier(s):
OSTI ID: 1573342
Grant/Contract Number:  
AC02-06CH11357; SC0016362
Resource Type:
Published Article
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 12; Journal Issue: 9; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Hamilton, Douglas S., Scanza, Rachel A., Feng, Yan, Guinness, Joseph, Kok, Jasper F., Li, Longlei, Liu, Xiaohong, Rathod, Sagar D., Wan, Jessica S., Wu, Mingxuan, and Mahowald, Natalie M. Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0). United States: N. p., 2019. Web. doi:10.5194/gmd-12-3835-2019.
Hamilton, Douglas S., Scanza, Rachel A., Feng, Yan, Guinness, Joseph, Kok, Jasper F., Li, Longlei, Liu, Xiaohong, Rathod, Sagar D., Wan, Jessica S., Wu, Mingxuan, & Mahowald, Natalie M. Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0). United States. doi:10.5194/gmd-12-3835-2019.
Hamilton, Douglas S., Scanza, Rachel A., Feng, Yan, Guinness, Joseph, Kok, Jasper F., Li, Longlei, Liu, Xiaohong, Rathod, Sagar D., Wan, Jessica S., Wu, Mingxuan, and Mahowald, Natalie M. Mon . "Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0)". United States. doi:10.5194/gmd-12-3835-2019.
@article{osti_1560230,
title = {Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0)},
author = {Hamilton, Douglas S. and Scanza, Rachel A. and Feng, Yan and Guinness, Joseph and Kok, Jasper F. and Li, Longlei and Liu, Xiaohong and Rathod, Sagar D. and Wan, Jessica S. and Wu, Mingxuan and Mahowald, Natalie M.},
abstractNote = {Abstract. Herein, we present a description of the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0). This iron processing module was developed for use within Earth system models and has been updated within a modal aerosol framework from the original implementation in a bulk aerosol model. MIMI simulates the emission and atmospheric processing of two main sources of iron in aerosol prior to deposition: mineral dust and combustion processes. Atmospheric dissolution of insoluble to soluble iron is parameterized by an acidic interstitial aerosol reaction and a separatein-cloud aerosol reaction scheme based on observations of enhanced aerosol iron solubility in the presence of oxalate. Updates include a more comprehensive treatment of combustion iron emissions, improvements to the iron dissolution scheme, and an improved physical dust mobilization scheme.An extensive dataset consisting predominantly of cruise-based observations was compiled to compare to the model. The annual mean model led concentration of surface-level total iron compared well with observations but less so in the soluble fraction (iron solubility) for which observations are much more variable in space and time. Comparing model and observational data is sensitive to the definition of the average as well as the temporal and spatial range over which it is calculated. Through statistical analysis and examples, we show that a median or log-normal distribution is preferred when comparing with soluble iron observations. The iron solubility calculated at each model time step versus that calculated based on a ratio of the monthly mean values, which is routinely presented in aerosol studies and used in ocean biogeochemistry models, is on average globally one-third(34 %) higher. We redefined ocean deposition regions based on dominant iron emission sources and found that the daily variability in soluble iron simulated by MIMI was larger than that of previous model simulations. MIMI simulated a general increase in soluble iron deposition to Southern Hemisphere oceans by a factor of 2 to 4 compared with the previous version, which has implications for our understanding of the ocean biogeochemistry of these predominantly iron-limited ocean regions.},
doi = {10.5194/gmd-12-3835-2019},
journal = {Geoscientific Model Development (Online)},
number = 9,
volume = 12,
place = {United States},
year = {2019},
month = {9}
}

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DOI: 10.5194/gmd-12-3835-2019

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In-cloud oxalate formation in the global troposphere: a 3-D modeling study
journal, January 2011

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Constraining the magnitude of the global dust cycle by minimizing the difference between a model and observations
journal, January 2006

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The origin of water soluble particulate iron in the Asian atmospheric outflow: ORIGIN OF ASIAN WATER-SOLUBLE IRON
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Tracing and constraining anthropogenic aerosol iron fluxes to the North Atlantic Ocean using iron isotopes
journal, June 2019

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Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom
journal, January 2006

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Two global data sets of daily fire emission injection heights since 2003
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Aerosol Deposition Impacts on Land and Ocean Carbon Cycles
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Global distribution of atmospheric phosphorus sources, concentrations and deposition rates, and anthropogenic impacts: GLOBAL ATMOSPHERIC PHOSPHORUS
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Iron mobilization in mineral dust: Can anthropogenic SO 2 emissions affect ocean productivity?
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Trichodesmium, a Globally Significant Marine Cyanobacterium
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High particulate iron(II) content in glacially sourced dusts enhances productivity of a model diatom
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Chemical characterisation of iron in dust and biomass burning aerosols during AMMA-SOP0/DABEX: implication for iron solubility
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Impacts on iron solubility in the mineral dust by processes in the source region and the atmosphere: A review
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Atmospheric processing of iron in mineral and combustion aerosols: development of an intermediate-complexity mechanism suitable for Earth system models
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Sensitivity of the interannual variability of mineral aerosol simulations to meteorological forcing dataset
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Nutrients in atmospheric aerosol particles along the Atlantic Meridional Transect
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Iron Compounds and Plant Nutrition
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The distribution and biogeochemical importance of high-latitude dust in the Arctic and Southern Ocean-Antarctic regions: High-Latitude Dust
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