Is this project an undergraduate, graduate, or faculty project?
Graduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Franyerson Lopez Ochoa, Graduate student
Lead Presenter's Name
Franyerson Lopez Ochoa
Lead Presenter's College
DB College of Aviation
Faculty Mentor Name
Dr. Sean Crouse
Abstract
To provide precise vertical resolution and worldwide coverage across all seasons and altitudes, this study integrated nadir, limb, occultation, and general circulation model (GCM) measurements in a thorough remote sensing examination of the Martian atmosphere. The study examined the density and temperature structures of major atmospheric gases, mainly carbon dioxide (CO₂), molecular nitrogen (N₂), and argon (Ar), using mission datasets from the Mars Reconnaissance Orbiter (MRO), Mars Express (MEX), and the ExoMars Trace Gas Orbiter (TGO). It also assessed retrieval uncertainties resulting from dust, ice clouds, and sensor limitations. The study concluded that, though valuable, single-geometry observation techniques are unable to fully capture the dynamical behavior of the Martian atmosphere through a synthesis of recent work. The discussion showed that integrating different observation geometries greatly enhances spatial and vertical accuracy, reduces retrieval ambiguities, and boosts atmospheric models’ ability to anticipate dust-driven events and seasonal cycles. The findings verified that multi-sensor data fusion improves cross-mission consistency and makes it possible to analyze CO₂ variability, temperature gradients, and dust-atmosphere interaction using a single framework, consequently improving modeling accuracy and mission planning. As a result, an advanced theoretical understanding of Martian atmospheric evolution, while giving practical guidance for future mission design and data integration strategies, was provided.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Included in
Navigation, Guidance, Control and Dynamics Commons, Space Habitation and Life Support Commons, Space Vehicles Commons
Atmospheric Gas Dynamics of Mars: A Multi-Sensor Remote Sensing Approach for Fine Vertical, Global, and Event-Driven Analysis
To provide precise vertical resolution and worldwide coverage across all seasons and altitudes, this study integrated nadir, limb, occultation, and general circulation model (GCM) measurements in a thorough remote sensing examination of the Martian atmosphere. The study examined the density and temperature structures of major atmospheric gases, mainly carbon dioxide (CO₂), molecular nitrogen (N₂), and argon (Ar), using mission datasets from the Mars Reconnaissance Orbiter (MRO), Mars Express (MEX), and the ExoMars Trace Gas Orbiter (TGO). It also assessed retrieval uncertainties resulting from dust, ice clouds, and sensor limitations. The study concluded that, though valuable, single-geometry observation techniques are unable to fully capture the dynamical behavior of the Martian atmosphere through a synthesis of recent work. The discussion showed that integrating different observation geometries greatly enhances spatial and vertical accuracy, reduces retrieval ambiguities, and boosts atmospheric models’ ability to anticipate dust-driven events and seasonal cycles. The findings verified that multi-sensor data fusion improves cross-mission consistency and makes it possible to analyze CO₂ variability, temperature gradients, and dust-atmosphere interaction using a single framework, consequently improving modeling accuracy and mission planning. As a result, an advanced theoretical understanding of Martian atmospheric evolution, while giving practical guidance for future mission design and data integration strategies, was provided.