atmospheric science for & with insightmosir/pub/2015/2015-05-14/02... · 2015-05-14 ·...
TRANSCRIPT
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Atmospheric Science
for & with InSight
Aymeric Spiga, François Forget, Ehouarn Millour, Tanguy Bertrand
Laboratoire de Météorologie Dynamique, Paris, France
Don Banfield
Cornell University
LMD
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InSight Science Goal:
1
Understand the formation
and evolution of terrestrial
planets through investiga-
tion of the interior structure
and processes of Mars.
Seismology
Geodesy
Heat Flow
Magnetism
Courtesy of B. Banerdt & S. Smrekar
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How Does a Terrestrial Planet Form?
1. The planet starts forming through
accretion of meteoritic material.
2. As it grows, the interior begins to heat up
and melt.
3. Stuff happens…
4. The planet ends up with a crust, mantle,
and core with distinct, non-meteoritic
compositions.
2
1
2
3
4 Stuff happens! InSight!
Courtesy of B. Banerdt
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InSight Payload
RISE (S/C Telecom) Rotation and Interior
Structure Experiment
SEIS (CNES) Seismic Experiment for Interior Structure
Mole • Hammering mechanism
• Active thermal conductivity
measurements
• Static Tilt sensors
Small Deep Space
Transponder
APSS (JPL) Auxiliary Payload
Sensor Suite
(also IPGP, ETH/SSA, MPS/DLR,
IC/Oxford/UKSA, JPL/NASA)
TWINS (CAB) – Temp.
and Wind for INSight Pressure Sensor
Support
Structure
Scientific Tether • Embedded T sensors for thermal
gradient measurements
Tether
Length
Monitor
Wind and Thermal
Shield (WTS)
Electronics (Ebox)
Tether (THR) Sensor Head:
VBB, SP, LVL
Radiometer
Back End
Electronics
HP3 (DLR) Heat Flow and Physical Properties Probe
Thermal Enclosure
(RWEB)
IFG (UCLA) – InSight
FluxGate
IDA – Instrument Deployment Arm
IDC – Instrument Deployment Camera
ICC – Instrument Context Camera
IDS (JPL) Instrument Deployment System
Courtesy of B. Banerdt & S. Smrekar
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Body Waves
Surface Waves
Normal Modes
Expected Range
Rate of Seismic Activity Magnitude
3 4 5 6
Martian Seismology – Multiple Signal Sources
Atmospheric
Excitation
Phobos Tide
Faulting
Daubar et al., 2010
InSight Landing Area
Meteorite Impacts
14 January, 2015 4 InSight Flight School – Arcadia, CA
Courtesy of B. Banerdt
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Atmospheric Science expertise and tools …
• … for InSight
– Predict environmental conditions to prepare EDL and operations
– Characterize and minimize seismic noise from the atmosphere
• … with InSight
Prepare P,T,winds,tau measurement strategy and interpretation
– Dust cycle
– Water cycle
– Atmospheric perturbations
15 January 2015 5 Content not protected
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Tools @ LMD to study the atmospheric environment
6
Mars Climate Database: www-mars.lmd.jussieu.fr
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Atmospheric Science expertise and tools …
• … for InSight
– Predict environmental conditions to prepare EDL and operations
– Characterize and minimize seismic noise from the atmosphere
• … with InSight
Prepare P,T,winds,tau measurement strategy and interpretation
– Dust cycle
– Water cycle
– Atmospheric perturbations
15 January 2015 7
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MCD v5.0 dust storm average solar scenario Ls=226° - Altitude 10m Local time at Insight Landing site: 14:00
Large-scale winds on Mars @ InSight landing site
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West
Above the surface ~5m - Simulated with the LMD-GCM over one martian year
Higher amplitude Higher variability
Ls ~230° landing
Ls ~300° science mission
Large-scale winds on Mars @ InSight landing site
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• We focus on what simulations yield for near surface winds at
the 4 Insight landing ellipses (E05, E08, E09, E17).
• 6 Simulations, using realistic dust scenarios, spread over
various Ls (30,90, 226, 293) and Mars Years (MY24, 25, 28).
Mesoscale wind study @ InSight landing ellipses
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Ls = 226° tau=0.2 Change : Ls = 293°
Regional winds : sensitivity to season and dust opacity
Change : tau=1
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Atmospheric Science expertise and tools …
• … for InSight
– Predict environmental conditions to prepare EDL and operations
– Characterize and minimize seismic noise from the atmosphere
• … with InSight
Prepare P,T,winds,tau measurement strategy and interpretation
– Dust cycle
– Water cycle
– Atmospheric perturbations
15 January 2015 12 Content not protected
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Atmospheric excitation of the surface
Modelling boundary layer seismic noise with Large-Eddy Simulations
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Simplified pressure noise model: methodology
• For every section of the LES grid, the variation of the vertical force exerted on the ground at the center of the section of the grid is calculated.
• Then, the displacement of the ground at the seismometer feet will be a sum of the displacements caused by each section of the grid (each considered to be a point source).
• Once the vertical displacement at each of the seismometers feet has been calculated, the resulting acceleration tilt can be found.
ΔF = ΔP.A • The size of each section of
the LES grid is 50 m x 50 m.
Courtesy of N. Murdoch
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Dustdevils on the Vertical Component (3/3)
Courtesy of P. Lognonné
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Atmospheric Science expertise and tools …
• … for InSight
– Predict environmental conditions to prepare EDL and operations
– Characterize and minimize seismic noise from the atmosphere
• … with InSight
Prepare P,T,winds,tau measurement strategy and interpretation
– Dust cycle
– Water cycle
– Atmospheric perturbations
15 January 2015 16 Content not protected
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• Insight offers opportunities to improve our knowledge of the
Martian atmospheric system:
- Long term high accuracy measurements of winds,
temperature, pressure
- Dust devil detection and monitoring, but also
convective activity evaluation using high freq.
pressure measurements
- Dust opacity measurements (using camera and
effective dust deposition on solar panels)
- Water ice cloud and near-surface fog cycles
(seasonal and diurnal) studies
- …
Atmospheric science with InSight
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Pressure : THE meteorological variable
18
• Interannual & Seasonal variations
– CO2 condensation cycle
• Day-to-day variations
– passing weather patterns (equator)
• Diurnal variations
– thermal tides
• Hour-to-hour variations
– gravity waves, slope winds
• Minutes-to-minutes variations
– boundary layer convection, gravity waves
• Second-to-second variations
– convective vortices (dust devils)
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Seasonal and Secular Pressure Record
19
• Monitor seasonal pressure changes
• High accuracy/stability desired to constrain secular pressure
trends
– Residual Polar Cap losing mass? (Malin et al. ‘01)
– Accurate pressure measurements can detect this (Haberle
and Kahre, ‘10)
– Pressure stability TBD
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Thermal tides : typical vs. dust storm conditions
16 January 2014 20
Daily cycle of surface pressure
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Gravity waves observed on pressure ?
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Terrestrial measurements Gossard & Munk Journal of Meteorology 1954
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Surface pressure variations : convective cells
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Turbulent horizontal winds
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Curiosity REMS Observations (October 2012)
Observed Dust devil like vortices
NASA/JPL-Caltech/ CAB (CSIC-INTA)
Surface pressure variations : convective vortices
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Modeled Dust devil like vortices
Surface pressure variations : convective vortices
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Atmospheric science with cameras
• Clouds : diurnal and seasonal evolution
• Dust opacity: seasonal evolution
and storm monitoring
• Aeolian processes: witness lifting events (and assess wind threshold for motions?), seasonal evolution of ripple migration
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TES (daytime IR observations) water ice cloud optical depth database (Smith 2008)
MARCI (daytime UV observations) extracted from SSI MARCI cloud optical depth database (Wolff et al. 2013)
• GCM prediction of water ice fog near the surface
• Fog present only at distinct times of year
Seasonal cycle of water ice clouds and fogs
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Thicker clouds develop during the night
Diurnal cycle of water ice clouds and fogs
Near surface fog develops during the night and vanishes at daybreak.
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Summary and Conclusions
• InSight: equatorial lander with meteorological package + high-
resolution pressure sensor + cameras
• Increment existing datasets : wind, T, dust opacity, clouds
• Pressure
– Increment existing large-scale diagnostics
– New science for boundary layer and gravity waves
• LMD atmospheric models: GCM, mesoscale, LES
– Involved for preparation & analysis
– Happy to help with atmospheric expertise
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