Lunar Surface Temperature Modelling Using LOLA Slope Data and Surface Roughness

Institut

Professur für Lunare und Planetare Explorationstechnologien

Typ

Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Accurate modelling of lunar surface temperatures is essential for simulating the lunar exosphere. Recent studies indicate that surface slopes and roughness significantly impact local temperature distributions by altering solar incidence angles. Current models typically assign a single temperature to a given global position on the Moon, neglecting the significant influence of regional topography and slope variations. In reality, lunar topography results in a distribution of possible temperatures for each location, primarily due to differences in local solar incidence angles. This project aims to address these limitations by developing an enhanced temperature model that integrates detailed lunar slope and roughness data obtained from the Lunar Orbiter Laser Altimeter (LOLA), providing a more realistic representation of lunar surface thermal environments.

Voraussetzungen

• Basic knowledge of planetary sciences, preferably lunar surface processes.
• Interest in numerical modelling and data analysis.
• Previous programming experience; willingness and ability to learn Julia.
• Familiarity with statistics and benchmarking methodologies (advantageous but not essential).
• Motivation to independently explore scientific literature and datasets.
• Good command of the English language

Möglicher Beginn

sofort

Kontakt

Alexander Peschel
Tel.: 55681
a.pescheltum.de

Ausschreibung