| special report |
RARE SAMPLE
In 2002, Dunion developed a techniques for detecting the large dust clouds using special infrared imagery from the NOAA GOES satellites. Since then, Dunion and his colleagues have been looking at the large dust clouds and their possible effect on hurricanes.
Last summer, Dunion led the NOAA Hurricane Research Division’s aircraft field program conducted under the NOAA Intensity Forecasting Experiment, or IFEX, and spearheaded NOAA’s participation in the NASA African Monsoon Multidisciplinary Analyses, a field campaign designed to look at Saharan dust storms and tropical cyclone formation in the eastern and central Atlantic.
“We were able to focus our efforts over a part of the ocean basin that is rarely sampled by aircraft and yet is a breeding ground for hurricane seedlings that account for over half of the tropical storms and hurricanes that we see in the Atlantic each year,” Dunion said. “This research has helped us learn more about what causes hurricanes to intensify or weaken.”
Part of the field work carried out this summer was Dunion’s Saharan Air Layer Experiment, or SALEX, that used NOAA’s P-3 Orion turboprop plane and G-IV high-altitude jet to study the interactions between tropical cyclones and Saharan dust storms. Both aircraft are routinely used in NOAA’s hurricane hunter activities (see HP, Winter 2003, page 14).
Eight SALEX missions were flown during the peak of the dust storm activity this year. These Saharan dust storms are part of a feature called the Saharan Air Layer (SAL). SAL outbreaks tend to be most intense in the early summer and are responsible for ejecting vast amounts of dry, dusty air into the Atlantic throughout the hurricane season.
Dunion noted that the size of the dust storms can cover an area roughly the size of the lower 48 U.S. states and can often travel as far west as Central America, the Gulf of Mexico and South Florida.
Data collected during the 2006 Atlantic hurricane season will be incorporated into NOAA and other operational forecast models to help improve forecasts of hurricane track and intensity.