Figure 2. Trend of chemical bext at (a) BLIS1 and (b) SOLA1. The whiskers and boxes indicate 90th, 80th, 20th, and 10th percentile of bext for each year. Small bars indicate the median values. Linear regressions for the 90th and 10th percentile data are calculated and presented. Red lines indicate the current 90% and 50% standards for (a) regional and (b) sub-regional visibility. The mean natural background level is also indicated. Spatial Variation Assessed By Satellite • AOD- column-total aerosol light extinction: AOD = ∫bext(dz) If all aerosol is in boundary layer AOD approximated by bext·L (L=boundary layer depth) •NASA MODIS AOD (Level II) data from Satellites Terra and Aqua •10 km 10 km resolution at nadir view • Twice daily scans during day time (about 11:00 AM and 1:00 PM • Less valid AOD data available in winter due to frequent cloudy skies over the Lake Tahoe basin • Spatial distribution of AOD is calculated based on valid AOD data points Assumptions for surface/satellite comparability • Spatial homogeneity across pixels and within mixed layers • Cloudless sky • Temporal correspondence between surface and satellite estimates • Constant aerosol extinction properties (e.g., size, composition, and shape) Domain of Study 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 39.3 N 39.2 N 39.1 N 39.0 N BLIS 38.9 N SOLA • 11 11 points in the domain of interest • Surface chemical visibility measurements were made at BLIS and SOLA Resources http://modis-atmos.gsfc.nasa.gov/MOD04_L2/acquiring.html HDF Viewer Matlab hdfread AOD Data Interpolation 120.0 W 39.6 N 120.4 W 120.2 W 120.0 W 119.8 W 119.6 W 0.3 0.3 39.4 N 0.25 0.25 0.2 39.2 N 0.2 40.0 N 0.15 0.15 39.0 N 0.1 0.1 38.8 N 0.05 0.05 38.6 N (a) (b) MODIS (Aqua Level 2) AOD data for (a) the western U.S. and (b) Lake Tahoe region on 6/27/2007. Blanks indicate missing or invalid pixels Seasonal Variation of Data Availability Number of Valid Grid Points in 2008 # of Valid Grid Points 8000 6000 4000 2000 0 1 2 3 4 5 6 7 8 Month in 2008 9 10 11 12 AOD versus Surface bext (Mm-1) 140 120 Aerosol b ext 100 80 60 40 20 0 0 0.1 0.2 0.3 0.4 0.5 Stratified AOD All concurrent data for BLIS from 2007 to 2009 How many % differs from BLIS? 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 0.4 0.3 39.3 N 0.2 39.2 N 0.1 39.1 N 0 -0.1 39.0 N BLIS 38.9 N -0.2 SOLA -0.3 -0.4 • So BLIS represents a very large area (for July 2007) 2007 2008 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 39.3 N 39.2 N 39.2 N 39.1 N 39.1 N 39.0 N 39.0 N 39.3 N 0.25 2009 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 0.3 39.3 N 120.1 W 120.0 W 119.9 W 119.8 W IS SOLA Average July AOD 0.3 0.25 39.2 N 39.1 N 0.2 0.2 39.0 N 0.15 BLIS 38.9 N 0.15 BLIS SOLA BLIS SOLA 38.9 N SOLA 38.9 N 0.1 0.1 0.3 0.25 0.2 0.15 0.1 120.1 W 120.0 W 119.9 W 119.8 W IS SOLA Average October AOD 2007 2008 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 120.3 W 120.2 W 120.1 W 120.0 W 119.9 W 119.8 W 0.3 39.3 N 39.3 N 39.2 N 39.2 N 39.1 N 39.1 N 39.0 N 39.0 N 39.3 N 0.25 2009 0.3 0.25 39.2 N 39.1 N 0.2 0.2 39.0 N 0.15 BLIS 38.9 N 0.15 BLIS SOLA BLIS SOLA 38.9 N SOLA 38.9 N 0.1 0.1 0.3 0.25 0.2 0.15 0.1 W19.9 W119.8 W Episodic Aerosol Optical Depth 0.7 120.1 W 120.0 W 0.6 120.3 W 120.2 W 0.5 0.4 119.9 W 119.8 W 120.1 W 120.0 W 0.3 0.2 0.1 120.3 W 120.2 W 120.3 W 120.2 W 119.9 W 119.8 W 39.3 N 39.3 N 39.3 N 39.2 N 39.2 N 39.2 N 39.1 N 39.1 N 39.1 N 39.0 N 39.0 N 39.0 N BLIS 38.9 N 11:00, 6/24/2007 120.3 W 120.2 W SOLA 38.9 N 120.1 W 120.0 W 120.3 W 120.2 W 120.1 W 120.0 W 38.9 N 13:00, 6/25/2007 120.3 W 120.2 W 119.9 W 119.8 W 39.3 N 39.3 N 39.3 N 39.2 N 39.2 N 39.2 N 39.1 N 39.1 N 39.1 N 39.0 N 39.0 N 38.9 N SOLA 38.9 N 11:00, 6/26/2007 120.1 W 120.0 W 119.9 W 119.8 W 39.0 N BLIS BLIS SOLA 11:00, 6/25/2007 119.9 W 119.8 W 119.9 W 119.8 W BLIS BLIS SOLA 120.1 W 120.0 W BLIS SOLA 11:00, 6/27/2007 SOLA 38.9 N 13:00, 6/27/2007 AOD map during the Angora Fire event Spatial Analysis suggests that: 1) background PM and bext levels are pretty uniform across the Tahoe basin, except during severe wildfire events, 2) influences such as traffic and residential wood combustion are confined in urban “neighborhoods” (sub-pixel), and 3) visibility within the basin would be well bounded by BLIS1 (background) and SOLA1 (maximum) measurements
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