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Ice contamination on satellite IR sensors: the MIPAS case

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Title: Ice contamination on satellite IR sensors: the MIPAS case


1
Ice contamination on satellite IR sensors the
MIPAS case
  • F. Niro(1), T. Fehr(2), A. Kleinert(3), H.
    Laur(2), P. Lecomte(2) and G. Perron(4)
  • (1) Serco S.p.A., Via Sciadonna, 24, 00044
    Frascati, Italy
  • (2) European Space Agency (ESA) - ESRIN, Via
    Galileo Galilei, 00044 Frascati, Italy
  • (3) Forschungszentrum Karlsruhe GmbH, Institut
    für Meteorologie und Klimaforschung (IMK), P.O.
    Box 3640, 76021 Karlsruhe, Germany
  • (4) ABB Bomem Inc., 585 Blvd. Charest East,
    Québec, G1K 9H4, Canada

2
Contents
  • Intro
  • MIPAS on ENVISAT instrument overview and status
  • Calibration
  • MIPAS Calibration strategy and requirements
  • Focus on the radiometric calibration the gain
    function
  • Ice effects
  • The ice effects on MIPAS
  • Ice on AATSR and SCIAMACHY
  • Summary
  • Summary and lessons learned
  • Whats next
  • The ENVISAT and MIPAS mission extension beyond
    2010

Intro
3
MIPAS on ENVISAT
  • MIPAS is a FTS measuring the limb atmospheric
    emission in the mid-IR spectral range, 4.15 µm
    14.5 µm, 685 2410 cm-1
  • The INT is a dual slide. The two output ports are
    directed to two sets of four duplicated
    detectors. This allows for redundancy and for
    enhanced radiometric performances
  • The detectors and their fore optics are stored in
    the FPS and cooled down to 70K with a pair of
    Stirling-cycle coolers

Intro
4
Optimized Resolution mission
  • On March 2004 after an increase of INT velocity
    errors (speed of one or both slides exceeds 20
    of the nominal speed) ? the MIPAS mission was
    suspended and several tests made to find the best
    configuration
  • The new scenario started on Jan 2005 with
  • Spectral resolution was reduced to 41 of the
    original one (0.0625 cm-1 instead of 0.025 cm-1)
  • Vertical and horizontal sampling of the
    atmosphere was increased owing to the shorter
    measurement time
  • Duty cycle reduced to about 40 in order to
    reduce INT errors

Intro
5
MIPAS instrument status
  • High number of INT velocity errors were still
    observed during 2005 2006
  • The errors type was analyzed in details it was
    found that it depends on Temp (beam-splitter),
    friction (bearings) and of initialization
    (start-up)
  • Corrective actions were undertaken that allow to
    decrease the number of errors and increase duty
    cycle up to 100 since Dec 2007

Intro
6
MIPAS products and calibration
  • The MIPAS operational products are
  • Level 1 Calibrated atmospheric emission spectra
  • Level 2 atmospheric profiles of p-T and main
    target species (O3, H2O, CH4, N2O, HNO3, NO2)
  • The L1 calibration process consists of
  • Radiometric calibration The process of assigning
    absolute values in radiance units (W/(cm2 sr
    cm-1)) to the intensity axis (y-axis)
  • Spectral calibration The process of assigning
    absolute values in cm-1 to the wavenumber axis
    (x-axis)
  • LOS calibration The process of assigning an
    absolute LOS pointing value to a given
    atmospheric spectrum

Calibration
7
MIPAS L1 radiometric calibration
  • The radiometric calibration is a crucial step of
    the L1 processing since an error in this
    calibration directly translates into an error in
    the retrieved profiles. The radiometric
    calibration requires
  • Deep space (DS) measurements to correct the scene
    for self-emission of the instrument. DS
    measurements are done frequently to account for
    variation of the instrument Temp along the orbit
  • Blackbody (BB) measurements followed by an
    equivalent number of DS measurements to calculate
    the radiometric gain function.
  • The gain function is calculated once per week,
    this allows to fulfill the requirement of gain
    accuracy (1)
  • The radiometric gain G is calculated from the
    measured BB and DS radiances (SBB and SDS), and
    the theoretical BB radiance (LBB)
  • The measured radiance (LX) is calibrated using
    this gain function, the observed radiance of the
    scene (SX) and of the offset (Sc) closest in time

Calibration
8
Weekly changes of gain
  • Changes in the gain function are caused mainly by
    changes in instrument transmission, due to ice.
    The ice is somewhere in the optical path in the
    focal plane subsystem which is cooled to 70K
  • The ice is either on the edges of the entrance
    hole (of the focal plane subsystem) and/or on the
    dichroics (splitting the light to detectors)
    and/or the detector windows
  • Often the MLI (multi-layer insulator) may trap
    water from the air on-ground. This trapped water
    evaporate (outgassing) with increase of
    temperature and can deposit in coldest part of
    the instrument with formation of ice layer

Ice effects
Gerakines et al., Astronomy and Astrophysics 296,
810, (1995)
Ice absorbance
Gain changes
9
Gain variation in band A
  • Ice accumulates on optics with loss of signal at
    the detector, ice is released after
    decontamination (cooler switch-off)
  • The variation of position of ice maximum is due
    to variation of ice layer thickness that can
    introduce other effects (e.g., ice scattering)

Ice effects
10
Rate of gain variation
  • The requirement of 1 increase/week is fulfilled
    (dashed line)
  • We observe an overall decrease of outgassing
    along the mission.
  • We observe the very contaminated period of Jan
    Jun 2005, due to the fact that decontamination
    was not planned during Feb Dec 2004

Ice effects
11
Gain and NESR
  • The NESR of the scene is defined as the standard
    deviation of the measured single sweep spectral
    radiance taken over N measurements
  • Gain and NESR variations are linearly correlated
    and similarly degraded by ice contamination (loss
    of transmission)

Ice effects
12
Gain and NESR variation
  • NESR variation is linearly correlated to gain

Ice effects
13
Ice effects on L2 precision
  • Precision is proportional to NESR ? NESR varies
    due to ice contamination, but it is also slightly
    dependent on signal ? higher radiances means
    higher NESR
  • Precision (random error due to noise) on VMR
    retrieval is inversely proportional to Temp
    (Planck function) ? Higher Temp ? Stronger signal
    ? Better precision
  • The impact of these two factors (ice and
    atmospheric temperature) on the time variation of
    L2 precision is complex (see C. Piccolo and A.
    Dudhia, ACP, 7, 19151923, 2007)
  • In general L2 precision degrades proportionally
    to ice contamination
  • In case of weak species the L2 precision is
    critically degraded by increasing NESR
  • In case of large seasonal variation of
    atmospheric temperature (polar region) ? L2
    precision is more driven by variation of
    temperature
  • Furthermore ice contamination impacts directly
    accuracy of profiles
  • An error in the gain function of 1 directly
    translates into a systematic error of 1 in the
    calibrated spectra and then in the profiles

Ice effects
14
Ice in other ENVISAT instruments AATSR and
SCIAMACHY
  • Ice was also seen on other ENVISAT instruments,
    AATSR and SCIAMACHY
  • It may be that outgassing from other parts of
    ENVISAT lead to increased water vapor pressure
    around the satellite, this water vapor may reach
    the MIPAS detector unit

Ice effects
Signal loss on SCIAMACHY channel 8
Courtesy of SOST-IFE
15
Summary and lessons learned
  • Water is trapped on-ground in some parts of the
    platform (e.g., MLI) and it evaporates in flight
    (outgassing) forming ice around the coldest parts
    of the ENVISAT satellite, in particular IR (cold)
    sensors such as MIPAS, AATSR and SCIAMACHY IR
    channels
  • Ice formation determines loss of signal at the
    detector
  • Outgassing is increasing with Temp during hottest
    period of the year
  • Outgassing is decreasing along the mission since
    contaminants are progressively removed from the
    instrument
  • Periodic decontaminations should be performed, in
    order to avoid that the decrease of
    signal-to-noise ratio impacts products quality
  • The most critical part of the mission is the
    first year, when very strong contamination was
    seen in all ENVISAT IR sensors
  • Similar issues were also found during operations
    of other IR sensors in different platform (e.g.,
    IASI and ACE)

Summary
16
MIPAS mission extension
  • The inclination control will be switched-off
    starting from 2011 in order to minimize the fuel
    consumption. We will loose the repeat orbit track
    away from the equator and a drifting Mean Local
    Solar Time (MLST)
  • Since 2011 the altitude will be lowered by 25 km
    and controlled, while the MLST will be left
    drifting until end of the mission (possibly 2014)
  • No showstoppers have been found for MIPAS
    (instrument and processing), however some care
    should be taken in order to avoid sun light
    entering the ESU/ASU

Whats next
17
  • Thank you for your attention !
  • Acknowledgment
  • M. Birk (DLR), G. Davies (VEGA), A. Dehn (Serco),
    A. Dudhia (Oxford University)

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