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Title: Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF-Chem Parameterizations

Abstract

Aerosol properties and their climatic feedbacks are characterized by high uncertainty in both global and regional model simulations. We explore sources of uncertainty in the representation of aerosol properties using an ensemble of simulations performed at 24 km resolution with WRF-Chem over eastern North America. The sensitivity of aerosol optical depth (AOD) and near-surface fine particle concentrations (PM 2.5) to planetary boundary layer (PBL) and aerosol schemes (modal with secondary organic aerosol (SOA) versus sectional but excluding SOA), as well as different emission inventories (National Emission Inventory (NEI) 2005 versus 2011) is examined. Here, we quantify the spread among ensemble members with respect to the model setup and compute statistical metrics to identify the run configuration that exhibits greatest fidelity relative to observations of aerosol and meteorological properties. Use of the Modal Aerosol Dynamics Model for Europe/Secondary Organic Aerosol Model scheme leads to highest agreement with MODIS clear-sky AOD observations particularly when the 2005 NEI is used (with either PBL scheme). These members exhibit small negative mean fractional bias over the simulation domain (<2%), and relatively high spatial correlation in summertime mean monthly AOD (>0.5). The aerosol scheme and NEI dominate the ensemble spread in AOD. Near-surface PM 2.5 ismore » also dependent on PBL scheme and is best reproduced in runs adopting a sectional approach and emissions for 2011. Thus, WRF-Chem configuration associated with highest agreement with AOD observations is not the same as for PM 2.5, possibly reflecting the importance of columnar water vapor in dictating AOD.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [4]
  1. Univ. of Notre Dame, Notre Dame, IN (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Indiana Univ., Bloomington, IN (United States)
  4. Cornell Univ., Ithaca, NY (United States); Indiana Univ., Bloomington, IN (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Aeronautic and Space Administration (NASA); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1508365
Alternate Identifier(s):
OSTI ID: 1501965
Grant/Contract Number:  
AC02-06CH11357; AC02‐06CH11357; SC0016438
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 124; Journal Issue: 6; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Crippa, P., Sullivan, R. C., Thota, A., and Pryor, S. C. Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF-Chem Parameterizations. United States: N. p., 2019. Web. doi:10.1029/2018JD029900.
Crippa, P., Sullivan, R. C., Thota, A., & Pryor, S. C. Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF-Chem Parameterizations. United States. doi:10.1029/2018JD029900.
Crippa, P., Sullivan, R. C., Thota, A., and Pryor, S. C. Mon . "Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF-Chem Parameterizations". United States. doi:10.1029/2018JD029900.
@article{osti_1508365,
title = {Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF-Chem Parameterizations},
author = {Crippa, P. and Sullivan, R. C. and Thota, A. and Pryor, S. C.},
abstractNote = {Aerosol properties and their climatic feedbacks are characterized by high uncertainty in both global and regional model simulations. We explore sources of uncertainty in the representation of aerosol properties using an ensemble of simulations performed at 24 km resolution with WRF-Chem over eastern North America. The sensitivity of aerosol optical depth (AOD) and near-surface fine particle concentrations (PM2.5) to planetary boundary layer (PBL) and aerosol schemes (modal with secondary organic aerosol (SOA) versus sectional but excluding SOA), as well as different emission inventories (National Emission Inventory (NEI) 2005 versus 2011) is examined. Here, we quantify the spread among ensemble members with respect to the model setup and compute statistical metrics to identify the run configuration that exhibits greatest fidelity relative to observations of aerosol and meteorological properties. Use of the Modal Aerosol Dynamics Model for Europe/Secondary Organic Aerosol Model scheme leads to highest agreement with MODIS clear-sky AOD observations particularly when the 2005 NEI is used (with either PBL scheme). These members exhibit small negative mean fractional bias over the simulation domain (<2%), and relatively high spatial correlation in summertime mean monthly AOD (>0.5). The aerosol scheme and NEI dominate the ensemble spread in AOD. Near-surface PM2.5 is also dependent on PBL scheme and is best reproduced in runs adopting a sectional approach and emissions for 2011. Thus, WRF-Chem configuration associated with highest agreement with AOD observations is not the same as for PM2.5, possibly reflecting the importance of columnar water vapor in dictating AOD.},
doi = {10.1029/2018JD029900},
journal = {Journal of Geophysical Research: Atmospheres},
number = 6,
volume = 124,
place = {United States},
year = {2019},
month = {3}
}

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