October 19, 2024
CEBAF Center, Thomas Jefferson National Accelerator Facility
US/Eastern timezone
See you next year at the CSAAPT Spring 2025 Meeting at GMU, April 5, 2025!

Investigating the Morphologies of Local-Scale Dust Storms in the Vicinity of Mars's North Polar Ice Cap

Not scheduled
15m
Atrium/Lobby (CEBAF Center)

Atrium/Lobby

CEBAF Center

Poster Atrium/Lobby

Speaker

Johnathan Strickland (North Carolina School of Science and Mathematics)

Description

Mars is notable for its frequent and intense dust storms. These storms can be found at nearly every location on the planet, though they vary in frequency and intensity. Dust storms on Mars are seasonal, with most storms occurring during northern fall and winter, from L_s~135 to L_s~360. During this season, increased heating associated with perihelion causes intense westerly jets to form around the north polar ice cap with wind speeds frequently greater than 130 m/s. Recent studies have suggested a possible correlation between the curvature and orientation of storms in this region and whether they formed in an entrance or exit region of a jet streak. To evaluate the validity of these claims, we have developed the Mars Storm Orientation and Curvature Quantifier (MSOCQ), a novel computer program which determines the approximate average curvature of dust storms and their orientations based on satellite imagery from Mars Daily Global Maps (MDGMs) produced by the Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI). Our study focuses on storms that are considered to be “local-scale” (<1.6 x 10^6 km^2) centered above ~45N from Mars Year (MY) 28 L_s~160 to MY 28 L_s~195 and MY 28 L_s~340 to MY 28 L_s~360. We manually classified storms into one of four categories based on their appearance: “puffy”, “pebbled”, “ruffled”, or “plume-like.” Because each of these storm types has different methods of formation and is associated with different convective environments, we expect to observe significant differences in the importance jet streaks play in their formation.

Primary author

Johnathan Strickland (North Carolina School of Science and Mathematics)

Presentation materials

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