NASA satellite images show smoke from wildfires across North America

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NASA satellite images show smoke from wildfires across North America

From NASA’s Micro Pulse Lidar Network (MPLNET ) And the Aerosol Robot Network (AERONET) data show that a large amount of smoke hovered between the land surface and an altitude of 2 kilometers (1 mile).

The haze darkened the sky and the sunset turned red. The disaster warning agency issued a series of red codes and orange air quality warnings, and even left a strong smell of smoke in the air in some areas.

NASA satellite images show smoke from wildfires across North America(1)

In large cities in the northeast , Philadelphia and New York City’s sky is the most hazy. The Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20 captured the natural-color smoke image over the northeast shown in the picture above on July 20.

In New York City, the level of fine particulate matter in the Air Quality Index rose above 170, which is considered harmful to healthy people. Ryan Stauffer, an atmospheric scientist at NASA’s Goddard Space Flight Center, said: “This is a level of particulate pollution that has not been seen in New York City for more than a decade. The smog sometimes becomes so thick. It even partially obscures the city’s iconic skyline.”

Although there have been a few forest fires raging in North America, most of the smoke entering the eastern United States may have come from near the border between Manitoba and Ontario A fire was located in the northern part of Minnesota. Fires that burned further west in British Columbia and the Pacific Northwest of the United States may also have contributed a small amount of smoke.

The map at the top of this page shows the concentration of black carbon particles in North America on July 21, 2021, commonly referred to as “smoke”. This is just one of several particles and gases found in wildfire smoke. The black carbon particle data comes from the GEOS Forward Processing (GEOS-FP) model, which incorporates data from satellites, aircraft, and ground observation systems. To model the carbon particle data, the modeler included satellite observations of aerosols and fires. GEOS-FP also ingested meteorological data, such as air temperature, humidity, and wind, to simulate plume behavior.