Detection of detached dust layers in the Martian atmosphere from their thermal signature using assimilation

T. Navarro, F. Forget, E. Millour, S. J. Greybush

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Airborne dust modifies the thermal structure of the Martian atmosphere. The Mars Climate Sounder (MCS) first revealed local maxima of dust mass mixing ratio detached from the surface, not reproduced by global climate models (GCM). In this paper, the thermal signature of such detached layers is detected using data assimilation, an optimal combination of a GCM and observations. As dust influences the atmospheric temperatures, MCS temperature profiles are used to estimate the amount of dust in the atmosphere. Data assimilation of only MCS temperature information reproduces detached dust layers, independently confirming MCS's direct observations of dust. The resulting analyzed state has a smaller bias than an assimilation that does not estimate dust. This makes it a promising technique for Martian data assimilation, which is intended to support weather forecasting and weather research on Mars. Key Points Dust field is reconstructed from its thermal signature onlyInclusion of detached dust layers in model produces better temperatureDust improves Martian temperature data assimilation

Original languageEnglish (US)
Pages (from-to)6620-6626
Number of pages7
JournalGeophysical Research Letters
Volume41
Issue number19
DOIs
StatePublished - Oct 16 2014

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Martian atmosphere
assimilation
dust
signatures
atmospheres
data assimilation
mars
Mars
climate
climate models
acoustics
global climate
climate modeling
weather forecasting
detection
atmospheric temperature
thermal structure
estimates
mixing ratios
weather

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Earth and Planetary Sciences(all)

Cite this

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abstract = "Airborne dust modifies the thermal structure of the Martian atmosphere. The Mars Climate Sounder (MCS) first revealed local maxima of dust mass mixing ratio detached from the surface, not reproduced by global climate models (GCM). In this paper, the thermal signature of such detached layers is detected using data assimilation, an optimal combination of a GCM and observations. As dust influences the atmospheric temperatures, MCS temperature profiles are used to estimate the amount of dust in the atmosphere. Data assimilation of only MCS temperature information reproduces detached dust layers, independently confirming MCS's direct observations of dust. The resulting analyzed state has a smaller bias than an assimilation that does not estimate dust. This makes it a promising technique for Martian data assimilation, which is intended to support weather forecasting and weather research on Mars. Key Points Dust field is reconstructed from its thermal signature onlyInclusion of detached dust layers in model produces better temperatureDust improves Martian temperature data assimilation",
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Detection of detached dust layers in the Martian atmosphere from their thermal signature using assimilation. / Navarro, T.; Forget, F.; Millour, E.; Greybush, S. J.

In: Geophysical Research Letters, Vol. 41, No. 19, 16.10.2014, p. 6620-6626.

Research output: Contribution to journalArticle

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AU - Navarro, T.

AU - Forget, F.

AU - Millour, E.

AU - Greybush, S. J.

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AB - Airborne dust modifies the thermal structure of the Martian atmosphere. The Mars Climate Sounder (MCS) first revealed local maxima of dust mass mixing ratio detached from the surface, not reproduced by global climate models (GCM). In this paper, the thermal signature of such detached layers is detected using data assimilation, an optimal combination of a GCM and observations. As dust influences the atmospheric temperatures, MCS temperature profiles are used to estimate the amount of dust in the atmosphere. Data assimilation of only MCS temperature information reproduces detached dust layers, independently confirming MCS's direct observations of dust. The resulting analyzed state has a smaller bias than an assimilation that does not estimate dust. This makes it a promising technique for Martian data assimilation, which is intended to support weather forecasting and weather research on Mars. Key Points Dust field is reconstructed from its thermal signature onlyInclusion of detached dust layers in model produces better temperatureDust improves Martian temperature data assimilation

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