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Massachusetts Institute of Technology

Analysis of Transient Fog Features on Titan

Abstract

dc:description.abstract

Saturn’s moon Titan is the only known solar system body other than Earth with an active hydrologic cycle, based on methane instead of water. To better characterize this environment, this thesis examines transient low-altitude methane clouds (hereafter referred to as fogs) that have been observed near Titan’s surface in data from the Visual and Infrared Mapping Spectrometer (VIMS) onboard the Cassini mission. We compile a data set of 19 fog features, expanded from previous studies, and investigate a range of factors that could influence fog formation. We find a tendency for fogs to be observed at high latitudes and primarily in the north, in agreement with modeling of Titan’s humidity. They also show a potential correlation to the locations of methane lakes, with several features that appear to trace shorelines. They may also be preferentially observed in seasons with higher insolation. These results can guide future modeling efforts, as well as continued data collection, to further constrain fog formation mechanisms.

Degree

thesis:*
Name thesis:degree_name
Bachelor
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Romashkova, Elena
Advisor dc:contributor.advisor
  • Soderblom, Jason

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/144842
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/144842

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Romashkova, Elena. Analysis of Transient Fog Features on Titan. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/144842