[ad_1]
<div _ngcontent-c14 = "" innerhtml = "
The California wildfires were quite remarkable and equally destructive.Cal Fire announced on November 9 that the camp fire had exceeded 90,000 acres but had been controlled only to 5%, at least nine people were found dead in the fire in northern California and, according to officials, some bodies were found Inside their car.For the first time in ten years, Sacramento County has banned from burning wood burning stove due to a forest fire .The unhealthy air is a problem Major in the fire affected areas.Lower on the California coast, the Woolsey Fire, powered by Santa Ana Winds (see article by my colleague Trevor Name), has 250,000 evacuations as the they spread to the coast, firefighters and brave officials risk their lives for fighting fires, but so is an interesting mix of weather satellite data and the popular HRRR weather. forecasting model.
Campfire in California November 8 NASA
The Landsat program is one of the major drivers of the US satellite fleet. The above image is extracted from the Landsat 8 operational terrain imager (OLI). Using a combination of infrared (heat) and visible sensors, active fires and badociated smoke plumes cause a particularly bad air quality in Northern California is clearly visible. The Landsat-8 is developed by NASA for the US Geological Survey (USGS) and performs images of the entire Earth every 16 days.
The image below was captured by the Moderate Resolution Imaging Spectrometer (MODIS) of NASA's Terra satellite. According to NASA, this image was captured on November 9, 2018. NASA's Earth Observatory website states that,
Strong winds fired (Camp) towards the south and southwest one night, tripling its size and spreading smoke over the Sacramento Valley … The fast high-resolution smoke refreshing model, based on NOAA data (National Oceanic and Atmospheric Administration)) and NASA, indicates that the smoke should continue to spread to the west. The image also shows two other fires in Southern California, Hill and Woolsey fires.
California fires captured by NASA satellites NASA
Although the images themselves are breathtaking and useful for locating fires, I hope you have noticed the mention High Speed Rapid Refresh Smoke Model (HRRR). This model is a new experimental effort developed by the NOAA Earth Systems Research Laboratory (ESRL) and the Cooperative Institute for Environmental Science Research. It builds on the capabilities of the HRRR weather model, which many members of the meteorological community rely on for short-term forecasting information. According to a discussion on NASA's Earth Observatory,
the Rapid Refresh Smoke High-Resolution Model, or HRRR-Smoke, builds on NOAA's existing HRRR weather model, which predicts rain, wind and storms. It ingests real-time data from the Polaroid System's Suomi-NPP and NOAA-20 polar orbiting satellites, as well as NASA's Terra and Aqua satellites … The heart of HRRR-Smoke is a important metric called radiation radiation. Power. PRF is a measure of the amount of heat generated by a given megawatt fire. A large fire, for example, can reach about 4,000 megawatts per pixel (750 x 750 meters). The calculation of radiative power and its distribution can help scientists locate the active front of a fire and predict the density and trajectory of the smoke it emits.
The HRRR-Smoke forecasts include "near-surface smoke" (less than 26 feet deep). soil) and 'Smoke with vertical integration'. It is "near-surface smoke" that hinders our eyes and aggravates upper respiratory problems such as asthma. Smoke in the vertical column is a hazard to the aviation community and other activities vulnerable to smoke in the Earth's atmosphere.
One of the limitations of the HRRR-Smoke model is that it relies on data from polar-orbiting satellites that take snapshots twice a day. . The advantage of satellite data in polar orbit lies in the high spatial resolution. However, forest fires can evolve rapidly. Ravan Ahmadov developed the HRRR-Smoke model at the NOAA Earth Systems Research Laboratory. He told NASA that he hoped to integrate geosynchronous satellite data for near-constant visualization of rapidly changing fires in the future. The spatial resolution will suffer, however, because such satellites are 32 000 km above the Earth.
Forecasts for Saturday, November 10 are provided below. You will find the link for experimental HRRR-Smoke products here.
Smoke forecast near the surface Saturday, November 10 via the model HRRR-Smoke NOAA
">
The California wildfires were devastating Cal Fire announced on November 9 that the camp fire had exceeded 90,000 hectares, but that 5% of them had been under control.At the time of writing this report, it was confirmed that nine people had died in the The County of Sacramento imposed, for the first time in ten years, restrictions on burning by fireplaces and wood stoves due to a fire. The unhealthy air is a major problem in the areas affected by fire.On the coast, the Woolsey fire, powered by Santa Ana Winds (see article by my colleague Trevor Name) and dry conditions , have provoked more than 250 000 evacuations while It is spreading all the way to the coast, and people are risking their lives to fight fires, but so does an interesting mix of satellite meteorological data and the popular HRRR weather forecast model.
The campfire in California November 8 NASA
A long time The Landsat program is the workhorse of the US fleet of satellites. The above image is extracted from the Landsat 8 operational terrain imager (OLI). Using a combination of infrared (heat) and visible sensors, active fires and badociated smoke plumes cause a particularly bad air quality in Northern California is clearly visible. The Landsat-8 is developed by NASA for the US Geological Survey (USGS) and performs images of the entire Earth every 16 days.
The image below was captured by the Moderate Resolution Imaging Spectrometer (MODIS) of NASA's Terra satellite. According to NASA, this image was captured on November 9, 2018. The NASA Earth Observatory website indicates that,
strong winds have fired (Camp) south and south West, tripling its size and spreading smoke on the Sacramento. Valley … The high-resolution, fast-cooling smoke model, using data from NOAA and NASA satellites, indicates that smoke is expected to continue westward. The image also shows two other fires in Southern California, Hill and Woolsey fires.
California fires captured by NASA satellites NASA
Although the images themselves are breathtaking and useful for locating fires, I hope you have noticed the mention High Speed Rapid Refresh Smoke Model (HRRR). This model is a new experimental effort developed by the NOAA Earth Systems Research Laboratory (ESRL) and the Cooperative Institute for Environmental Science Research. It builds on the capabilities of the HRRR weather model, which many members of the meteorological community rely on for short-term forecasting information. According to a discussion on NASA's Earth Observatory,
the Rapid Refresh Smoke High-Resolution Model, or HRRR-Smoke, builds on NOAA's existing HRRR weather model, which predicts rain, wind and storms. It ingests real-time data from the Polaroid System's Suomi-NPP and NOAA-20 polar orbiting satellites, as well as NASA's Terra and Aqua satellites … The heart of HRRR-Smoke is a important metric called radiation radiation. Power. PRF is a measure of the amount of heat generated by a given megawatt fire. A large fire, for example, can reach about 4,000 megawatts per pixel (750 x 750 meters). The calculation of radiative power and its distribution can help scientists locate the active front of a fire and predict the density and trajectory of the smoke it emits.
The HRRR-Smoke forecasts include "near-surface smoke" (less than 26 feet deep). soil) and "Vertically integrated smoke". It is "near-surface smoke" that impairs our eyes and aggravates upper respiratory problems such as asthma. Smoke in the vertical column is a hazard to the aviation community and other activities vulnerable to smoke in the Earth's atmosphere.
One of the limitations of the HRRR-Smoke model is that it relies on data from polar-orbiting satellites that take snapshots twice a day. . The advantage of satellite data in polar orbit lies in the high spatial resolution. However, forest fires can evolve rapidly. Ravan Ahmadov developed the HRRR-Smoke model at the NOAA Earth Systems Research Laboratory. He told NASA that he hoped to integrate geosynchronous satellite data for near-constant visualization of rapidly changing fires in the future. The spatial resolution will suffer, however, because such satellites are 32 000 km above the Earth.
Forecasts for Saturday, November 10 are provided below. The link for HRRR-Smoke experimental products is here.
Smoke forecasts near the surface for Saturday, November 10 via the HRRR-Smoke model NOAA
