Today’s UMBC (Figure 1) lidar timeseries shows remnant smoke, between 2500-3000 meters, from the Canadian fires in the morning hours. The boundary layer reached max heights of 1900 m, and was cloud capped (red returns around 1900 m from 16:30-20:00 UTC) from 12:30-4:00 pm (local time).
NOAA’s Hazard Mapping System Fire and Smoke Product continues to report smoke from wildfire activity throughout Alaska and Canada. The smoke continues to produce a large areas of varying density. This smoke covers an area extending from the easternmost portions of Russia into the Yukon and from the Brooks Range in northern Alaska to Juneau and northwestern British Columbia. The most dense smoke resides from over Anchorage into much of central and southwestern Yukon. The smoke (Figure 2) can be seen in the VIIRS true color image (Figure 2) over the Atlantic Ocean (gray plumes).
Moderate AQI Levels were reported in the Ohio River Valley, Northeastern States and Gulf States, as shown in EPA’s Airnow Air Quality Index animation (Figure 3).
Significant wildfire activity can be observed along Alaska and Northwestern Canada with smoke spreading along Washington, Oregon, Idaho and northern California and Nevada. Smoke from Canadian wildfires in Manitoba and Ontario is widespread along the Great Lakes, Mid-Atlantic and Northeastern United States according to NOAA’s Hazard Mapping System Fire and Smoke Product (Figure 1).
A thick plume of smoke, and its corresponding AOD retrieval, from the Canadian wildfires was observed this morning in today’s GOES-16 GeoColor and AOD Product over the Great Lakes, the Mid-Atlantic and Northeastern states (Figure 2 and 3: NOAA STAR NESDIS Aerosol Watch Product from 12:41 UTC (8:41 EDT)).
This plume has not impacted the surface air quality monitors as shown in the lidar timeseries below from measurements at City College of New York (Figure 4), Howard University Beltsville Research Campus (Figure 5) and UMBC (Figure 6). The smoke was observed 2500-4000 meters and above the boundary layer. The boundary layer at 18:00 UTC (2:00 pm EDT) had a max height around 2000 meters. Real-time lidar timeseries for these sites are available under the Real Time Data tab (above), as well as images from past days under the Archived Data tab.
NOAA’s Hazard Mapping System Fire and Smoke Product (Google Earth image above) reported the presence of several agricultural fires in Florida, with plumes moving south. Locations of fires (light yellow dots (Fire Radiative Power (FRP) ) over-imposed in GOES-16 Geo-Color image below and AOD associated with the smoke plumes of the agricultural fires were captured by NOAA GOES-16 satellite. GOES-16 images below as courtesy of NOAA’s AEROSOL WATCH.
This smoke didn’t impact the air quality in Florida, as based on EPA’s Airnow Daily Average PM AQI image below. Moderate PM2.5 AQI levels were reported along the Pacific Northwest and the state of Colorado.
Smog Blog is back online. The last few months we have been updating hardware in order to offer, as we have done for over a decade, a daily diary of air quality in the United States. Web links to past and present products showcased in this site will be available in the next few weeks. Please stay tuned. Feel free to leave comments. Archived posts are available upon request.
The image above has the last 18 hours of lidar observations (1064 nm Lufft CHM15k) at UMBC. Clouds advected between 7:00-12:00 UTC (2:00-7:00 AM Local Time. The mixing layer height is below 1.5 km. Wave like returns at top of mixing layer in the first 12 hours of observations suggest presence of bore/gravity waves.
Aerosol Optical Depth retrievals from sun photometer measurements (AERONET) at UMBC indicate that today fine particulate matter is present within the mixing layer.
Research by the Atmospheric Lidar Group at the University of Maryland, Baltimore County (UMBC) revolves around understanding atmospheric chemistry and physics in the troposphere with laser remote sensing technology. The impact of the Mid-Atlantic meteorology on air quality, wind energy, and cal/val of satellite and numerical weather prediction models is examined with the use of active (lidar, rawinsondes, and radar) and passive (sun photometer and satellite) remote sensing techniques, and surface in-situ measurements of gases and aerosols.