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Martian water vapor: Mars Express PFSLW observations

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Title: Martian water vapor: Mars Express PFSLW observations


1
Martian water vapor Mars Express PFS/LW
observations
  • T. Fouchet, E. Lellouch, T. Encrenaz
  • Observatoire de Paris
  • F. Forget, F. Montmessin
  • Institut Pierre Simon Laplace
  • N.I. Ignatiev, D. Titov, M. Tschimmel
  • Max Planck Institut for Solar System Research
  • V. Maturilli, V. Formisano, M. Giuranna
  • IFSI/CNR

2
Mars Express Objectives
  • Study the inter-annual variations
  • A steady state cycle?
  • Study the water vapor as a function of
  • Altitude ? vertical profile
  • Latitude, longitude ? dynamical control of water
    vapor transport
  • Local time ? Subsurface/atmosphere water exchange
  • Contribute to better understand
  • the surface-atmosphere exchanges
  • the nature and variability of the water sources
    and sinks

3
Planetary Fourier Spectrometer
  • Characteristics
  • channels LW (250-1700 cm-1) et SW (1700-8200
    cm-1)
  • ?? 1.4 cm-1
  • FOV 2.8 (LW) et 1.6 (SW) 7 et 12 km at z
    250 km
  • Observations in nadir
  • LW suited for water retrieval
  • Large spectral coverage ? Simultaneous
    measurement of the temperature field (CO2
    inversion at 15 µm) and water (rotational lines)
  • LW Spectra high S/N (up to 1200 cm-1), no
    calibration problem

4
Water vapor retrieval
  • Uniform continuum, few mineralogical bands
  • Dust scattering negligible
  • Large temperature contrast between the surface
    and the atmosphere 40K
  • Uniform vertical profile up to the saturation
    altitude column density retrieval
  • Random uncertainties 1-2 pr.-?m

5
CO2-broadening
  • Largest source of systematic uncertainty
  • Water column proportional to the CO2-broadening
    coefficient
  • Smith (2002, 2004) adopted a coefficient of 1.5 ?
    ?(N2)
  • We used the full description of Gamache et al.
    (1995)
  • 15 less water than with M. Smith assumption

6
PFS-LW water cycle
MGS/TES (Smith, 2002)
7
PFS-LW/TES Comparison (1)
  • Inter-annual variations?
  • Concomitant TES and PFS/LW observations up to 31
    august 2004.
  • Averages over a grid of 2?2 (latitude ? Ls)
  • TES retrieves systematically 1.5 times more water
    than PFS/LW
  • Local time effect? (TES 1-3pm, PFS 8am -3pm)
  • Ground-based observations give a column density
    smaller than TES (Sprague et al.)
  • Small local time variations

8
PFS-LW/TES Comparison (2)
  • We instead suggest that the TES water columns are
    biased towards high values
  • M. Smith reanalysis
  • 6.25 cm-1 gives lower values than 12.5 cm-1 all
    lines give same water abundance
  • _at_12.5 cm-1 , different lines give different
    abundance
  • 250 and 280 cm-1 lines give 25 less better
    repeatability

6.25 cm-1
12.5 cm-1
9
PFS-LW/TES Comparison (3)
  • Add a 15 more downward revision for the
    CO2-broadening coefficient
  • With both corrections, the MGS/TES and PFS/MEX
    database are in good agreement

10
New CO2-broadening coefficient
  • Increase the water vapor abundance by 10
    compared to Fouchet et al. (2007)
  • Indistinguishable from the revised TES dataset

11
Mid latitude spatial variations
  • Water maxima over Arabia and Tharsis
  • Observed by TES/MGS and all the other MeX
    instruments
  • Related to the H2O subsurface content?

12
Mid latitude spatial variations
  • LMD/MGCM simulations
  • Qualitatively reproduce the zonal distribution
  • Quantitatively 20 for the model, factor of 2
    for observations
  • Horizontal convergence forced by mid-latitude
    steady waves
  • Vertical divergence
  • Condensation, sedimentation, sublimation that
    locally enriched the atmosphere in water vapor
  • A surface water may not be needed

13
Mid latitude spatial variations
  • LMD/MGCM simulations
  • Qualitatively reproduce the zonal distribution
  • Quantitatively 20 for the model, factor of 2
    for observations
  • Horizontal convergence forced by mid-latitude
    steady waves
  • Vertical divergence
  • Condensation, sedimentation, sublimation that
    locally enriched the atmosphere in water vapor
  • A surface water may not be needed

14
Vertical Distribution (1)
  • It was hoped that PFS could measure the vertical
    distribution by combining thermal and near IR
  • Too low S/N in NIR
  • Retrieve the water abundance on the volcanoes
    flank
  • ISM/Phobos suggested a possible rise of the
    mixing ration with altitude.
  • Possible subsurface-atmosphere exchange
  • Possible outgassing

15
Water vapor above the volcanoes
16
Vertical Distribution (2)
  • Correlation of water vapor column density with
    surface pressure
  • Increasing water column with surface pressure
  • But not a proportional relationship
  • Need for a layer of 3-4 pr.-?m independently of
    the surface pressure

17
Vertical Distribution (3)
  • Anti-correlation between the normalized water
    column density and surface pressure
  • Quantified with rank or Spearman correlation
  • Water vertical distribution is non-uniform
  • But no information on the real vertical profile

18
Condensation Effect ?
  • Water enrichment by water condensation,
    sedimentation and sublimation
  • A layer with a large mixing ration below the
    cloud layer
  • Extracted from the LMD/MGCM the predictions
    corresponding to PFS measurements
  • Display the normalized column density as function
    of surface pressure
  • Something missing to the model
  • To be link with the low longitudinal variations

19
Subsurface/atmosphere exchange?
  • Not accounted for in the LMD/MGCM
  • A study by Böttger et al. (2004)
  • Adsorption/desorption of 10 of the water column
    in a diurnal cycle
  • Water concentrated in the boundary layer
  • Prediction of 1-2 pr.-?m rather than 3-4 as
    observed
  • Local time variations with Mars Express
  • Local time and season are extremely correlated

20
Conclusions
  • A drier water cycle
  • PFS, SPICAM and OMEGA give water abundance lower
    than old MGS/TES
  • Consistent with revised TES climatology
  • High stability of the Martian water cycle
  • PFS GCMs simulations
  • A process missing to fully reproduce the
    observations
  • A subsurface water source?
  • Stronger enrichment due to cloud formation?
  • Optimized the GCM for new conditions
    implications for O-chemistry and past climate
    simulations

21
Water cycle
  • Water vapor sublimes from polar caps
  • Seasonal asymmetry in meridional transport

TES/MGS observations, Smith (2004)
22
Temperature profile inversion
CO2
Information content
23
Polar cap recession
  • In winter, seasonal cap deposition (CO2 and H2O)
    at mid-latitudes
  • In spring, as the CO2 frost recedes, water ice is
    left behind
  • Hot air masses moving poleward carry recently
    sublimed water vapor
  • Water ice once again forms at higher latitudes

OMEGA
Latitude
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