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Utilization of Real-time AIRNOW Data for Quick Model Verification

This paper explores the application of real-time AIRNOW data in the rapid verification of meteorological models, focusing on the elevated O3 episode on August 3, 2006. Researchers including Pius Lee, Daewon Byun, and others from NOAA and EPA highlight the necessity of quick verification methods due to limitations in archived meteorological data. The study emphasizes the significance of improved initializations and assimilations in modeling, alongside recommended updates in atmospheric data analysis, which are crucial for ensuring accurate weather and air quality forecasts.

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Utilization of Real-time AIRNOW Data for Quick Model Verification

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  1. Utilization of Real-time AIRNOW Data for Quick Model Verification Pius Lee, Daewon Byun, Ariel Stein, Roland Draxler, Hsin-Mu Lin, Shaocai Yu, Daniel Tong and Tianfang Chai Air Resource Laboratory/OAR/NOAA Youhua Tang, Jeff McQueen, Ho-Chun Huang, Marina Tsildulko, Dongchul Kim, Sarah Lu and Caterina Tassone Environmental Modelling Center/NOAA/NCEP Paula Davidson and Ivanka Stajner Office and Science and Technology/NWS/NOAA Scott Jackson, John White and Lewis Weinstock U.S. EPA

  2. Elevated O3 episode Aug 3rd, 2006

  3. Meteorology Chemical Transport Model Emissions Initialization Quick verification is essential when interest is fresh

  4. RTMA 10 m wind 21Z 3SEP08 NAMY predicted too strong a long-shore flow that suppressed the channel flow towards Puget Sound NAM NAMY

  5. RTMA T2m, Td, and 10 m wind Real-Time Mesoscale Analysis (RTMA) graphics and many other NCEP meteorological verification pages have virtually no archived- image capability. This make AQ Quick Verification more imperative.

  6. LSM changes - Slope of saturated humidity function (temp) decrease linearly with snow cover - Potential evaporation decrease linearly with RI under stable condition and weighted by snow-cover • Partial cycling - Use WPS (instead of WRF-SI) codes to process GDAS first guess to start (tm12) GSI analysis in NDAS • Analysis & data - New AFWA snow depth analysis - Assimilate METOP radiance TAMDAR/AMDAR aircraft data • Cloud property - Doubling of radiative absorption coefficients for ice and droplet hydrometeors

  7. NAMX improves T, and Wind speed forecast Wind Speed Temperature NAMX NAMX NAM NAM

  8. 8-Hour Ave bias CMAQ/NAM CMAQ/NAMY August 4-13

  9. Backups

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