DYNAMO: DYnamic Inputs of Natural Conditions for Air Quality MOdels AQAST Year 3 Tiger Team Daniel Cohan, Loretta Mickley, Arastoo Pour Biazar, Richard.

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Presentation transcript:

DYNAMO: DYnamic Inputs of Natural Conditions for Air Quality MOdels 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 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

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

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) Can use existing UAH insolation archive to recover PAR InsolationCorrection FactorPAR

Application of daily varying stratospheric ozone columns in AQ models: Consequences for photolysis rates in the troposphere. 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 time period. These columns are produced by GEOS in a 2x2.5 assimilation run with MLS and OMI observations. TOMS ozone over US, Mar 11, DU North America experiences different stratospheric airmasses on synoptic timescales. Hudson et al., Loretta J. Mickley and Lulu Shen, Harvard OMI-MLS stratospheric ozone columns show good agreement with ozonesondes. Wargan et al., Lower strat ozone columns, hPa to tropopause

BDSNP Soil NO x scheme Implemented in CMAQ with inline biogenics Compared to Yienger & Levy Next step: Compare with satellite & other data