Coupling aerosol-cloud-radiative processes in the WRF-Chem model: Investigating the radiative impact of elevated point sources

Abstract. The local and regional influence of elevated point sources on summertime aerosol forcing and cloud-aerosol interactions in northeastern North America was investigated using the WRF-Chem community model. The direct effects of aerosols on incoming solar radiation were simulated using existing modules to relate aerosol sizes and chemical composition to aerosol optical properties. Indirect effects were simulated by adding a prognostic treatment of cloud droplet number and adding modules that activate aerosol particles to form cloud droplets, simulate aqueous-phase chemistry, and tie a two-moment treatment of cloud water (cloud water mass and cloud droplet number) to precipitation and an existing radiation scheme. Fully interactive feedbacks thus were created within the modified model, with aerosols affecting cloud droplet number and cloud radiative properties, and clouds altering aerosol size and composition via aqueous processes, wet scavenging, and gas-phase-related photolytic processes. Comparisons of a baseline simulation with observations show that the model captured the general temporal cycle of aerosol optical depths (AODs) and produced clouds of comparable thickness to observations at approximately the proper times and places. The model overpredicted SO2 mixing ratios and PM2.5 mass, but reproduced the range of observed SO2 to sulfate aerosol ratios, suggesting that atmospheric oxidation processes leading to aerosol sulfate formation are captured in the model. The baseline simulation was compared to a sensitivity simulation in which all emissions at model levels above the surface layer were set to zero, thus removing stack emissions. Instantaneous, site-specific differences for aerosol and cloud related properties between the two simulations could be quite large, as removing above-surface emission sources influenced when and where clouds formed within the modeling domain. When summed spatially over the finest resolution model domain (the extent of which corresponds to the typical size of a single global climate model grid cell) and temporally over a three day analysis period, total rainfall in the sensitivity simulation increased by 31% over that in the baseline simulation. Fewer optically thin clouds, arbitrarily defined as a cloud exhibiting an optical depth less than 1, formed in the sensitivity simulation. Domain-averaged AODs dropped from 0.46 in the baseline simulation to 0.38 in the sensitivity simulation. The overall net effect of additional aerosols attributable to primary particulates and aerosol precursors from point source emissions above the surface was a domain-averaged reduction of 5 W m−2 in mean daytime downwelling shortwave radiation.

[1]  R. Easter,et al.  Nonlinear Advection Algorithms Applied to Interrelated Tracers: Errors and Implications for Modeling Aerosol–Cloud Interactions , 2009 .

[2]  Jerome D. Fast,et al.  Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) , 2008 .

[3]  Alma Hodzic,et al.  A model inter-comparison study focussing on episodes with elevated PM10 concentrations , 2008 .

[4]  E. Kassianov,et al.  Development and Evaluation of a Simple Algorithm to Find Cloud Optical Depth with Emphasis on Thin Ice Clouds , 2008 .

[5]  Timothy M. VanReken,et al.  Chemical composition of atmospheric nanoparticles formed from nucleation in Tecamac, Mexico: Evidence for an important role for organic species in nanoparticle growth , 2008 .

[6]  Steven J. Ghan,et al.  Impact on modeled cloud characteristics due to simplified treatment of uniform cloud condensation nuclei during NEAQS 2004 , 2007 .

[7]  Hanna Vehkamäki,et al.  New parameterization of sulfuric acid‐ammonia‐water ternary nucleation rates at tropospheric conditions , 2007 .

[8]  Steven J. Ghan,et al.  Aerosol Properties and Processes: A Path from Field and Laboratory Measurements to Global Climate Models , 2007 .

[9]  Rohit Mathur,et al.  A detailed evaluation of the Eta-CMAQ forecast model performance for O3, its related precursors, and meteorological parameters during the 2004 ICARTT study , 2007 .

[10]  Rohit Mathur,et al.  Evaluation of several PM2.5 forecast models using data collected during the ICARTT/NEAQS 2004 field study: PM2.5 FORECAST MODEL EVALUATION , 2007 .

[11]  Philip B. Russell,et al.  International Consortium for Atmospheric Research on Transport and Transformation (ICARTT): North America to Europe—Overview of the 2004 summer field study , 2006 .

[12]  G. Grell,et al.  Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology‐chemistry‐aerosol model , 2006 .

[13]  Steven J. Ghan,et al.  Impact of cloud-borne aerosol representation on aerosol direct and indirect effects , 2006 .

[14]  W. Skamarock Positive-Definite and Monotonic Limiters for Unrestricted-Time-Step Transport Schemes , 2006 .

[15]  Aaron L. Swanson,et al.  Effects of changing power plant NOx emissions on ozone in the eastern United States: Proof of concept , 2006 .

[16]  David D. Parrish,et al.  NORTH AMERICAN REGIONAL REANALYSIS , 2006 .

[17]  Leonard K. Peters,et al.  A computationally efficient Multicomponent Equilibrium Solver for Aerosols (MESA) , 2005 .

[18]  Steven E. Koch,et al.  The Impact of Different WRF Model Physical Parameterizations and Their Interactions on Warm Season MCS Rainfall , 2005 .

[19]  Rohit Mathur,et al.  Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of 2004 , 2005 .

[20]  W. Heilman,et al.  Simulated sensitivity of seasonal ozone exposure in the Great Lakes region to changes in anthropogenic emissions in the presence of interannual variability , 2005 .

[21]  M. Chin,et al.  A review of measurement-based assessments of the aerosol direct radiative effect and forcing , 2005 .

[22]  Jordan G. Powers,et al.  A Description of the Advanced Research WRF Version 2 , 2005 .

[23]  P. Daum,et al.  Size truncation effect, threshold behavior, and a new type of autoconversion parameterization , 2005 .

[24]  Anthony S. Wexler,et al.  A new method for multicomponent activity coefficients of electrolytes in aqueous atmospheric aerosols , 2005 .

[25]  Thomas T. Warner,et al.  IMPLEMENTATION OF OBSERVATION-NUDGING BASED FDDA INTO WRF FOR SUPPORTING ATEC TEST OPERATIONS , 2005 .

[26]  M. Kulmala,et al.  Effect of ammonium bisulphate formation on atmospheric water-sulphuric acid-ammonia nucleation , 2005 .

[27]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[28]  Xindi Bian,et al.  MIRAGE: Model description and evaluation of aerosols and trace gases , 2004 .

[29]  J. Fast,et al.  Modeling the effects of VOC and NOX emission sources on ozone formation in Houston during the TexAQS 2000 field campaign , 2004 .

[30]  J. Barnard,et al.  An evaluation of the FAST-J photolysis algorithm for predicting nitrogen dioxide photolysis rates under clear and cloudy sky conditions , 2004 .

[31]  J. Barnard,et al.  A Simple Empirical Equation to Calculate Cloud Optical Thickness Using Shortwave Broadband Measurements , 2004 .

[32]  H. Akimoto Global Air Quality and Pollution , 2003, Science.

[33]  Chester W. Spicer,et al.  Ozone production efficiency and NOx depletion in an urban plume: Interpretation of field observations and implications for evaluating O3‐NOx‐VOC sensitivity , 2003 .

[34]  Steven J. Ghan,et al.  Impact of aerosol size representation on modeling aerosol‐cloud interactions , 2002 .

[35]  M. Kulmala,et al.  Parametrization of ternary nucleation rates for H2SO4‐NH3‐H2O vapors , 2002 .

[36]  X. Bian,et al.  Effect of regional-scale transport on oxidants in the vicinity of Philadelphia during the 1999 NE-OPS field campaign , 2002 .

[37]  Shu‐Hua Chen,et al.  A One-dimensional Time Dependent Cloud Model , 2002 .

[38]  S. Ghan,et al.  A parameterization of aerosol activation 3. Sectional representation , 2002 .

[39]  S. Solberg,et al.  Atmospheric Chemistry and Physics , 2002 .

[40]  V. Ramanathan,et al.  Aerosols, Climate, and the Hydrological Cycle , 2001, Science.

[41]  Spyros N. Pandis,et al.  Optimizing model performance: variable size resolution in cloud chemistry modeling , 2001 .

[42]  Nels S. Laulainen,et al.  Multiyear measurements of aerosol optical depth in the Atmospheric Radiation Measurement and Quantitative Links programs , 2001 .

[43]  James G. Hudson,et al.  Evaluation of aerosol direct radiative forcing in MIRAGE , 2001 .

[44]  L. Ruby Leung,et al.  A physically based estimate of radiative forcing by anthropogenic sulfate aerosol , 2001 .

[45]  Yun Qian,et al.  Regional climatic effects of anthropogenic aerosols? The case of southwestern China , 2000 .

[46]  O. Boucher,et al.  Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review , 2000 .

[47]  Douglas W. Johnson,et al.  Emissions from Ships with respect to Their Effects on Clouds , 2000 .

[48]  B. Finlayson‐Pitts CHAPTER 8 – Acid Deposition: Formation and Fates of Inorganic and Organic Acids in the Troposphere , 2000 .

[49]  B. Finlayson‐Pitts,et al.  Chemistry of the Upper and Lower Atmosphere , 2000 .

[50]  Oliver Wild,et al.  Fast-J: Accurate Simulation of In- and Below-Cloud Photolysis in Tropospheric Chemical Models , 2000 .

[51]  Leonard K. Peters,et al.  A new lumped structure photochemical mechanism for large‐scale applications , 1999 .

[52]  Chang-Hoi Ho,et al.  Parameterizations for Cloud Overlapping and Shortwave Single-Scattering Properties for Use in General Circulation and Cloud Ensemble Models , 1998 .

[53]  L. Ruby Leung,et al.  Prediction of cloud droplet number in a general , 1997 .

[54]  J. Hansen,et al.  Radiative forcing and climate response , 1997 .

[55]  Qilong Min,et al.  Cloud properties derived from surface MFRSR measurements and comparison with GOES results at the ARM SGP Site , 1996 .

[56]  J. Pleim,et al.  Sub-grid-scale features of anthropogenic emissions of NOx and VOC in the context of regional eulerian models , 1996 .

[57]  F. Binkowski,et al.  The Regional Particulate Matter Model 1. Model description and preliminary results , 1995 .

[58]  R. Pincus,et al.  Effect of precipitation on the albedo susceptibility of clouds in the marine boundary layer , 1994, Nature.

[59]  D. L. Roberts,et al.  A climate model study of indirect radiative forcing by anthropogenic sulphate aerosols , 1994, Nature.

[60]  R. Turco,et al.  Modeling coagulation among particles of different composition and size , 1994 .

[61]  Anthony S. Wexler,et al.  Modelling urban and regional aerosols—I. model development , 1994 .

[62]  J. Kiehl,et al.  The Relative Roles of Sulfate Aerosols and Greenhouse Gases in Climate Forcing , 1993, Science.

[63]  Piotr K. Smolarkiewicz,et al.  A class of monotone interpolation schemes , 1992 .

[64]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[65]  S. Twomey,et al.  Aerosols, clouds and radiation , 1991 .

[66]  M. C. Dodge,et al.  A photochemical kinetics mechanism for urban and regional scale computer modeling , 1989 .

[67]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[68]  Joanne Simpson,et al.  An Ice-Water Saturation Adjustment , 1989 .

[69]  M. Wesely Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models , 1989 .

[70]  Peter V. Hobbs,et al.  The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. XII: A Diagnostic Modeling Study of Precipitation Development in Narrow Cold-Frontal Rainbands , 1984 .

[71]  H. D. Orville,et al.  Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .

[72]  S. Twomey Pollution and the Planetary Albedo , 1974 .