Mars Dust Storms May Be Predictable Based on Surface Heating Patterns
A new study suggests warm days on Mars often precede dust storms, with researchers analysing data from NASA's Mars Reconnaissance Orbiter. The findings show 78% of storms correlate with increased solar heating, particularly in northern regions of the planet. Scientists have developed an algorithm predicting certain storm types with 64% confidence, marking progress in understanding these atmospheric phenomena. Despite advancements, questions about the growth of localised storms into global events remain unresolved. This research could improve planning for future Mars missions.
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New research has indicated a strong connection between warm, sunny days on Mars and the occurrence of dust storms, with nearly 78 percent of storms preceded by increased solar heating, according to a study presented at the annual meeting of the American Geophysical Union in Washington, D.C. The study, led by Heshani Pieris and Paul Hayne of the University of Colorado, Boulder, analysed data from NASA's Mars Reconnaissance Orbiter, revealing patterns that could help predict these atmospheric phenomena.
Insights into Dust Storm Patterns
The researchers investigated data spanning eight Martian years—approximately 15 Earth years—collected by the Mars Climate Sounder instrument. Observations focused on two types of dust storms, categorised as "A" and "C" storms, which primarily originate in the planet's northern hemisphere and travel through Acidalia Planitia and Utopia Planitia. The study found a direct correlation between prolonged surface heating and the emergence of these storms.
In a statement, Pieris highlighted the significant impact dust storms have on Mars missions, noting their tendency to coat solar panels with fine particles, which can disrupt operations. This was exemplified by NASA's Opportunity rover, which was rendered inoperable during a global dust storm.
Potential for Forecasting Dust Storms
Pieris and Hayne's research suggests the possibility of predicting Martian dust storms based on patterns of surface heating. An algorithm developed during the study has shown a 64% confidence level in forecasting "A" and "C" storms, offering a potential tool for managing the risks posed to future crewed missions.
While the study marks progress, as per reports, Hayne pointed out that fundamental questions about dust storm formation remain unanswered, including the factors that allow localised storms to grow into global events. Data from NASA's deactivated Mars Global Surveyor supports the findings, showing that imbalances in solar energy absorption during warmer periods can fuel storm activity.
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