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DYNAMO: DY namic Inputs of N atural Conditions for A ir Quality MO dels

DYNAMO: DY namic Inputs of N atural Conditions for A ir Quality MO dels. AQAST Year 3 Tiger Team Daniel Cohan, Loretta Mickley, Arastoo Pour Biazar, Richard McNider, Bryan Duncan. DYNAMO Objectives. GOES satellite based photosynthetically active radiation (PAR) and photolysis rates

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DYNAMO: DY namic Inputs of N atural Conditions for A ir Quality MO dels

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  1. DYNAMO: DYnamicInputs of Natural Conditions for Air QualityMOdels AQAST Year 3 Tiger Team Daniel Cohan, Loretta Mickley, Arastoo Pour Biazar, Richard McNider, Bryan Duncan

  2. DYNAMO Objectives • GOES satellite based photosynthetically active radiation (PAR) and photolysis rates • Daily varying stratospheric ozone columns in GEOS-Chem and CMAQ • Improved biogenic emissions • Satellite PAR & dynamic vegetation in MEGAN • New soil NO emissions scheme in CMAQ • Sharing of products through EPA’s RSIG

  3. Air Quality Management Partners • US EPA: Jesse Bash, Pat Dolwick, and Chris Misenis • Texas Commission on Environmental Quality: Mark Estes • California Air Resources Board: Jeremy Avise

  4. Goal: Improve the Physical Atmosphere for Biogenic Emissions through use of Satellite Data Biogenic emissions are strongly tied to the physical atmosphere through PAR, temperature and soil moisture Example - Use of satellite derived insolation to recover PAR needed in biogenic emission models Factors in conversion of insolation to PAR (Frouin and Pinker 1994) Insolation Correction Factor PAR Can use existing UAH insolation archive to recover PAR

  5. Application of daily varying stratospheric ozone columns in AQ models: Consequences for photolysis rates in the troposphere. Loretta J. Mickley and Lulu Shen, Harvard TOMS ozone over US, Mar 11, 1990 North America experiences different stratospheric airmasses on synoptic timescales. Hudson et al., 2003. Motivation: Most AQ models rely on interpolations of biweekly or monthly mean stratospheric ozone (SOC) to characterize daily solar radiation input to troposphere. SOC, however, can vary significantly on daily time scales. Approach: Use satellite data to quantify response of tropospheric photochemistry to SOC. Deliverable: Database of daily varying SOC for use in AQ models. Progress so far: We are testing OMI-MLS daily ozone columns in GEOS-Chem over the 2005-2012 time period. These columns are produced by GEOS-5.7.2 in a 2x2.5 assimilation run with MLS and OMI observations. DU 200 350 500 Lower strat ozone columns, 2005-2012 50 hPa to tropopause OMI-MLS stratospheric ozone columns show good agreement with ozonesondes. Wargan et al., 2013.

  6. BDSNP Soil NOx scheme • Implemented in CMAQ with inline biogenics • Compared to Yienger & Levy • Next step: Compare with satellite & other data

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