Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
MARSWRF Prediction of Entry Descent Landing Profiles: Applications to Mars Exploration
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0002-8562-7368
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology. Centro de Astrobiología (INTA‐CSIC), Madrid, Spain.ORCID iD: 0000-0002-4492-9650
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology. Instituto Andaluz de Ciencias de la Tierra (CSIC‐UGR), Granada, Spain; The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry, Institute for Planetary Materials, Okayama University, Misasa, Tottori, Japan.ORCID iD: 0000-0001-6479-2236
2019 (English)In: Earth and Space Science, E-ISSN 2333-5084, Vol. 6, no 8, p. 1440-1459Article in journal (Refereed) Published
Abstract [en]

In this paper we use the Mars implementation of the Planet Weather Research and Forecasting model, MarsWRF, to simulate the Entry, Descent and Landing (EDL) vertical profiles from six past missions: Pathfinder, Mars Exploration Rovers Opportunity and SpiritPhoenix, Mars Science Laboratory Curiosity rover and ExoMars 2016 (Schiaparelli), and compare the results with observed data. In order to investigate the sensitivity of the model predictions to the atmospheric dust distribution, MarsWRF is run with two prescribed dust scenarios. It is concluded that the MarsWRF EDL predictions can be used for guidance into the design and planning stage of future missions to the planet, as it generally captures the observed EDL profiles, although it has a tendency to underestimate the temperature and overestimate the density for heights above 15 km. This could be attributed to an incorrect representation of the observed dust loading. We have used the model to predict the EDL conditions that may be encountered by two future missions: ExoMars 2020 and Mars 2020. When run for Oxia Planum and Jezero Crater for the expected landing time, MarsWRF predicts a large sensitivity to the dust loading in particular for the horizontal wind speed above 10‐15 km with maximum differences of up to ±30 m s‐1 for the former and ±15 m s‐1 for the latter site. For both sites, the best time for EDL, i.e. when the wind speed is generally the weakest with smaller shifts in direction, is predicted to be in the late morning and early afternoon.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019. Vol. 6, no 8, p. 1440-1459
Keywords [en]
Mars, Atmosphere, EDL, MarsWRF, ExoMars, Mars 2020
National Category
Astronomy, Astrophysics and Cosmology Aerospace Engineering
Research subject
Atmospheric Science
Identifiers
URN: urn:nbn:se:ltu:diva-75440DOI: 10.1029/2019EA000575ISI: 000490955600009Scopus ID: 2-s2.0-85071046971OAI: oai:DiVA.org:ltu-75440DiVA, id: diva2:1341265
Note

Validerad;2019;Nivå 2;2019-11-06 (johcin)

Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2025-01-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Fonseca, Ricardo MoraisZorzano Mier, María-PazMartin-Torres, Javier

Search in DiVA

By author/editor
Fonseca, Ricardo MoraisZorzano Mier, María-PazMartin-Torres, Javier
By organisation
Space Technology
In the same journal
Earth and Space Science
Astronomy, Astrophysics and CosmologyAerospace Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 410 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf