Nature | Vol 605 | 26 May 2022 |
653
Article
In situ recording of Mars soundscape
S. Maurice
1
✉
, B.
Chide
2
✉
, N.
Murdoch
3
, R. D. Lorenz
4
, D.
Mimoun
3
, R. C. Wiens
2,5
, A.
Stott
3
,
X. Jacob
6
, T.
Bertrand
7
, F.
Montmessin
8
, N. L. Lanza
2
, C.
Alvarez-Llamas
9
, S. M. Angel
10
,
M. Aung
11
, J.
Balaram
11
, O.
Beyssac
12
, A.
Cousin
1
, G.
Delory
13
, O.
Forni
1
, T.
Fouchet
7
,
O. Gasnault
1
, H.
Grip
11
, M.
Hecht
14
, J.
Hoffman
15
, J.
Laserna
9
, J.
Lasue
1
, J.
Maki
11
, J.
McClean
14
,
P.-Y. Meslin
1
, S. Le Mouélic
16
, A.
Munguira
17
, C. E. Newman
18
, J.
A.
Rodríguez Manfredi
19
,
J. Moros
9
, A.
Ollila
2
, P.
Pilleri
1
, S.
Schröder
20
, M. de la Torre Juárez
11
, T.
Tzanetos
11
, K. M. Stack
11
,
K. Farley
11
, K.
Williford
11,21
& the SuperCam team*
Before the Perseverance rover landing, the acoustic environment of Mars was
unknown. Models predicted that: (1) atmospheric turbulence changes at centimetre
scales or smaller at the point where molecular viscosity converts kinetic energy into
heat
1
, (2) the speed of sound varies at the surface with frequency
2
,
3
and (3)
high-frequency waves are strongly attenuated with distance in CO
2
(refs.
2
–
4
). However,
theoretical models were uncertain because of a lack of experimental data at low
pressure and the difficulty to characterize turbulence or attenuation in a closed
environment. Here, using Perseverance microphone recordings, we present the first
characterization of the acoustic environment on Mars and pressure fluctuations in the
audible range and beyond, from 20 Hz to 50 kHz. We find that atmospheric sounds
extend measurements of pressure variations down to 1,000 times smaller scales than
ever observed before, showing a dissipative regime extending over five orders of
magnitude in energy. Using point sources of sound (Ingenuity rotorcraft,
laser-induced sparks), we highlight two distinct values for the speed of sound that are
about 10 m s
−1
apart below and above 240 Hz, a unique characteristic of low-pressure
CO
2
-dominated atmosphere. We also provide the acoustic attenuation with distance
above 2 kHz, allowing us to explain the large contribution of the CO
2
vibrational
relaxation in the audible range. These results establish a ground truth for the
modelling of acoustic processes, which is critical for studies in atmospheres such as
those of Mars and Venus.
Before the landing of Perseverance (18 February 2021), no pressure
fluctuations had ever been monitored on Mars at a frequency >20 Hz,
namely, in the acoustic domain. The recording of sounds offers the
unique opportunity to study the atmosphere as the main natural source
of sound and as the propagation medium for acoustic waves. From the
knowledge of Mars atmospheric pressure (about 0.6 kPa) and the physi
-
cal properties of CO
2
, one can predict (see Methods) that: the acoustic
impedance results in approximately 20 dB weaker sounds on Mars than
on Earth if produced by the same source, the speed of sound should
be around 240 m s
−1
near the surface and acoustic waves are heavily
damped in CO
2
at these atmospheric pressures and temperatures. A few
studies
2
,
3
proposed very detailed models of acoustic propagation on
Mars but with large discrepancies between their results because of a lack
of experimental data at low pressure and appropriate temperatures,
and the difficulty of characterizing attenuation in a closed environment.
Acoustic data are also sensitive to wind speed and direction and, to a
lesser extent, other environmental parameters
5
,
6
. As such, owing to the
high sampling frequency of microphones (up to 100 kHz), the acoustic
data allow us to explore the atmospheric behaviour on a microscale
that has never been accessible before on Mars.
The SuperCam instrument suite
7
,
8
on Perseverance carries an electret
microphone, similar to that carried by the Mars Polar Lander
9
, lost during
atmospheric entry, and the Phoenix spacecraft
10
, on which technical issues
prevented the device from being operated. SuperCam’s microphone is
able to record air pressure fluctuations from 20 Hz to 12.5 kHz or 50 kHz, at
sampling rates of 25 kHz or 100 kHz, respectively. After landing (Martian
https://doi.org/10.1038/s41586-022-04679-0
Received: 7 December 2021
Accepted: 23 March 2022
Published online: 1 April 2022
Open access
Check for updates
1
Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse 3 Paul Sabatier, CNRS, CNES, Toulouse, France.
2
Space and Planetary Exploration Team, Los Alamos National
Laboratory, Los Alamos, NM, USA.
3
Institut Supérieur de l’Aéronautique et de l’Espace (ISAE-SUPAERO), Université de Toulouse, Toulouse, France.
4
Space Exploration Sector, Johns Hopkins
Applied Physics Laboratory, Laurel, MD, USA.
5
Present address: Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA.
6
Institut de Mécanique
des Fluides, Université de Toulouse 3 Paul Sabatier, INP, CNRS, Toulouse, France.
7
Laboratoire d’Etudes Spatiales et d’Instrumentation en Astrophysique, Observatoire de Paris, CNRS,
Sorbonne Université, Université Paris Diderot, Meudon, France.
8
Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, Université Saint-Quentin-en-Yvelines, Sorbonne Université,
Guyancourt, France.
9
Universidad de Málaga, Málaga, Spain.
10
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA.
11
Jet Propulsion Laboratory,
California Institute of Technology, Pasadena, CA, USA.
12
Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, CNRS, Sorbonne Université, MNHN, Paris, France.
13
Heliospace
Corporation, Berkeley, CA, USA.
14
Haystack Observatory, Massachusetts Institute of Technology, Westford, MA, USA.
15
Department of Aeronautics and Astronautics, Massachusetts Institute
of Technology, Cambridge, MA, USA.
16
Laboratoire de Planétologie et Géosciences, CNRS, Nantes Université, Université Angers, Nantes, France.
17
Escuela de Ingeniería de Bilbao, Universidad
del País Vasco UPV/EHU, Bilbao, Spain.
18
Aeolis Corporation, Sierra Madre, CA, USA.
19
Centro de Astrobiología (INTA-CSIC), Madrid, Spain.
20
Deutsches Zentrum für Luft- und Raumfahrt (DLR),
Institute of Optical Sensor Systems, Berlin, Germany.
21
Blue Marble Space Institute of Science, Seattle, WA, USA. *A list of authors and their affiliations appears at the end of the paper.
✉
e-mail:
sylvestre.maurice@irap.omp.eu
;
bchide@lanl.gov
654
| Nature | Vol 605 | 26 May 2022
Article
solar day ‘Sol’ 0; one Sol = 88,775 s), the microphone was turned on for
the first time on Sol 1 while the mast was still stowed. Since deployment
on Sol 2, the microphone is approximately 2.1 m above the ground; it has
performed nominally up to the time of writing. SuperCam also consists
of a laser-induced breakdown spectroscopy (LIBS) capability to analyse
the chemistry of Mars at stand-off distances from 1.5 to 7 m (refs.
7
,
8
).
When the laser pulse interacts with the target, a luminous plasma emits
characteristic optical emission lines of the elements present in the tar
-
get
11
. Plasma expansion generates a shock wave that decouples from the
plasma within the first microsecond after laser interaction
12
and results
in a clearly detectable acoustic signal
13
,
14
. Moreover, Perseverance carries
a second microphone as part of the Entry, Descent, and Landing Camera
(EDLCAM
15
), which has a frequency response from 20 Hz to 20 kHz at a
sampling rate of 48 kHz. The EDL microphone is mounted on the port side
of the rover, 1 m above the ground. It was activated on Sol 2.
Figure
1
provides an overview of sounds acquired by SuperCam’s
microphone (see Methods). Sol 38a is the quietest recording in our data
-
set. Later on that same day (Sol 38b), the power spectral density (PSD)
increases above the quiet state at frequencies below 100 Hz. On Sol 117,
we associate this increase of power to an increase in the turbulent activ
-
ity, which extends up to 300 Hz; this is the situation we observe most
often. The recording of Sol 148 is the most active one shown, with the
same shape starting towards higher frequencies but with a slope break
near 200 Hz; turbulence is detected up to 600 Hz. All non-saturated
atmospheric recordings from Sol 0 to Sol 216 fit between the bounda
-
ries given by the Sol 38a and Sol 148 spectra. The laser-excited plasma
generates a short, roughly 300-μs acoustic pulse (see Methods), with
95% of its energy between 3 and 15 kHz. Various spectral notches are
caused by acoustic interferences owing to echoes from the base of the
microphone itself (6 kHz and 12 kHz) or from nearby rocks. The total
intensity varies as a function of target distance, as shown for recordings
at 2 m, 5 m and 8 m. During laser-induced spark recording sessions, the
atmospheric signal below 1 kHz is masked by electromagnetic interfer
-
ence
8
. The Ingenuity rotorcraft tones (see Methods) are also shown.
Atmospheric turbulence
The Martian planetary boundary layer (PBL) is the part of the atmos
-
phere in contact with the surface
16
, extending to several km. It is prone
to convective turbulence and vertical mixing during daytime, owing to
the thin atmosphere and low surface thermal inertia that induce strong
and unstable near-surface temperature gradients
17
–
19
. This turbulence
translates into high-frequency variations in atmospheric pressure,
wind speed and temperature that can be measured by in situ instru
-
ments. Conversely, during night-time, the strong radiative cooling of
the atmosphere induces highly stable conditions, which efficiently
inhibit most convection and turbulence
16
. Analysing the PBL at the
surface is therefore important to understand how the Martian atmos-
phere transports and mixes heat, momentum, aerosols and chemical
species
20
. The Mars Environmental Dynamics Analyzer (MEDA
21
) instru
-
ment on Perseverance and the meteorological suites of previously
landed missions
20
,
22
typically measure pressure, temperature and wind
fluctuations with sampling frequencies of 0.1 Hz to 10 Hz. These instru
-
ments study the turbulence variability
23
,
24
and the Martian turbulent
energy cascade
1
,
17
,
25
.
Specifically, we report here the observation of the dissipative
turbulence regime in the PBL, in which the InSight mission could
see a hint of a regime change at the limits of the instrument capabil
-
ity
1
. This regime, in which molecular viscosity dissipates the turbu
-
lent kinetic energy into heat, is now fully characterized by a rapid
decrease of the power spectrum with increasing frequency (Fig.
1
,
2b
)
over roughly five orders of magnitude. The scale at which the viscous
dissipation becomes notable is characterized by the Kolmogorov
length scale
26
,
η
= (
ν
3
/
ε
)
0.25
, in which
ν
is the kinematic viscosity and
ε
is the turbulence energy dissipation rate per unit mass, typically
around 0.001 m
2
s
−1
and 0.005 m
2
s
−1
on Mars, respectively
17
. Thus
η
is
about 0.02 m and the timescale of these small eddies,
t
η
= (
ν
/
ε
)
0.5
, is
about 0.45 s. Hence the dissipation regime should be observable at
frequencies above 2 Hz on Mars, at centimetre or smaller scales only
(on Earth, this transition occurs at millimetre scales or smaller
17
).
This theoretical prediction is confirmed by the acoustic data; the
threshold moves with frequency, depending on the dissipation
rate
25
,
27
. The balance between energy production and molecular
dissipation controls the total amount of turbulent kinetic energy
in the boundary layer and, as such, the dissipation mechanism is
intrinsically linked to the PBL dynamics; a larger dissipation leads
to a faster turbulence decay, in turn suppressing small-scale wind
gustiness, and vice versa.
Ingenuity tones
Atmospheric turbulence
LIBS acoustic spectra
Frequency (Hz)
100
1,000
10,000
10
–5
10
–6
10
–7
10
–8
10
–9
10
–10
10
–11
Power spectral density (Pa
2
Hz
–1
)
SuperCam
micr
ophone
8
m
5
m
2
m
Sol 148
Sol 117
Sol 38b
Sol 38a
Fig. 1 | Variety of sounds recorded by SuperCam.
Atmospheric spectra
spread over the light blue area; turbulence increases in the direction of the
arrow. LIBS acoustic spectra spread over the light red area. Ingenuity tones are
recorded at 84 Hz and 168 Hz (purple). The black spectrum is the quietest
recording so far below 1 kHz. SuperCam’s microphone is located on the rover
mast ( green).
Nature | Vol 605 | 26 May 2022 |
655
The microphone records rapid deviations from ambient pres
-
sure (>20 Hz) that are correlated to variations in the wind flow, as
shown by Fig.
2a
, in which a spectrogram of Sol 38b microphone data
(see Methods) is overlaid with the wind speed as measured by the MEDA
(see Methods). As expected
6
,
13
, there is a clear correlation between the
intensity of acoustic data and the wind speed. This can be owing to
the flow-induced turbulence from the rover/mast itself but also to the
direct sensing of the incoming flow fluctuations, seen to be the domi-
nant factor for outdoor microphones in other studies
6
. Moreover, the
daytime local turbulence is known to increase for larger ambient wind
speeds
24
. The high microphone sampling rate provides an opportunity
to observe very intense but short wind gusts, on a timescale of 10 s. In
Fig.
2b
, the same acoustic data are plotted in the frequency domain and
combined with low-frequency measurements of pressure and wind
from the MEDA, for a 51-min time period of continuous data around
the microphone acquisition. The large difference in slope between the
MEDA and microphone data is indicative of regime change. The transi
-
tion from the probable shear-dominated regime
28
to the dissipation
regime occurs in this case between 1 and 20 Hz.
Speed of sound on Mars
In a cold CO
2
atmosphere, the speed of sound is expected to be lower
than on Earth. Furthermore, owing to the low pressure and the physi-
cal properties of CO
2
, we also expect a dispersion of this speed with
frequency
2
,
3
. On Earth, the adiabatic ratio
γ
is constant up to a few MHz
at ambient pressure
29
and sound speed does not vary with frequency
near the surface. At low pressure on Mars, still within the framework of
small Knudsen numbers
30
(10
−6
at 100 Hz to 2.10
−4
at 20 kHz), the con-
tinuum theory still holds, but energy exchanges at molecular scales are
modified. Part of the energy associated with the translational motions
of molecules, which constitute the acoustic waves, is spent on the exci
-
tation of inner degrees of freedom (vibrational modes and rotational
motions). The relaxation of the rotational motion is almost instantane
-
ous, whereas relaxation of the vibrational modes occurs over a much
longer timescale, a property of small and rigid polyatomic molecules
such as CO
2
. If the frequency
f
is smaller than
f
R
= 1/
τ
R
, in which
τ
R
is the
relaxation time, all modes are equally excited and then relaxed. The
seven degrees of freedom that result from three translational modes,
two rotational modes and one doubly-degenerate vibrational mode (
ν
2
,
bending) lead to an adiabatic index
γ
0
= 9/7 = 1.2857. Conversely, if
f
>
f
R
,
there is no time to relax the vibrational mode; in that case, there are only
five active degrees of freedom and
γ
∞
= 7/5 = 1.4. In CO
2
at Earth-ambient
pressure,
f
R
is about 40 kHz (ref.
31
). This frequency depends on the rate
at which molecules can collide, hence
f
R
is proportional to the pressure.
As a result, at 0.6 kPa, the relaxation frequency is about 240 Hz on Mars.
The recording of pulsed waves generated in LIBS mode provides
a unique opportunity to measure directly and repetitively the local
speed of sound for acoustic waves above 2 kHz, that is, for
f
>
f
R
(see Methods). From the daytime measurements, sound speeds
between 246 m s
−1
and 257 m s
−1
are obtained (Fig.
3a
), with maxi
-
mum values between 11:00 to 14:00 Local True Solar Time (LTST) and
minimum values around 18:00. The 1σ-dispersion of the sound speed
during the approximately 20 min of a target analysis with LIBS is at
its maximum at noon (1.5%) and is reduced to 0.5% at 18:00, which
highlights the vanishing of the atmospheric turbulence at dusk. These
measurements are compared with temperature-derived speeds of
sound obtained from: (1) the MEDA temperature datasets at the sur-
face, at the heights of 0.85 m and 1.45 m, and (2) the temperature at
the surface and at a height of 2 m given by the Mars Climate Database
(MCD
32
) (see Methods), using
γ
∞
= 1.4 (because
f
>
f
R
). The agreement
between the MEDA and MCD predictions is excellent. SuperCam sound
speeds are comparable with temperature-derived values at the height
of the MEDA’s 0.85-m temperature sensor or higher. This is consistent
with the fact that the speed is integrated between a height of 2.1 m
and the surface, possibly biased towards the surface when the tem
-
perature gradient is larger.
Ingenuity’s blade passage frequency (BPF)
33
is close to a harmonic
source centred around 84 Hz, and — in that case — for
f
<
f
R
(see Meth-
ods). This signal recorded by SuperCam’s microphone is modulated
by the variations of the distance range between the microphone and
the helicopter. An emitted frequency at 84.43 Hz and a speed of sound
c
= 237.7 ± 3 m s
−1
are estimated on the basis of a fit of the Doppler effect
for Ingenuity’s fourth flight (see Methods). Accounting for the pres
-
ence of a wind of about 2.5 m s
−1
along the microphone-to-helicopter
line of sight towards the helicopter (MEDA data), the true sound speed
is about 240 m s
−1
at this frequency. At the time of the flight, the atmos
-
pheric temperatures ranged between 232 K and 240 K at a height of
1.45 m. Using
γ
0
= 1.2857 (the BPF is below
f
R
), the temperature-derived
speed of sound ranges from 238.8 m s
−1
to 242.9 m s
−1
, which is con
-
sistent with the speed directly derived from Ingenuity’s flight plus
wind (Fig.
3b
). As a summary, SuperCam’s microphone highlights a
sound speed dispersion of about 10 m s
−1
in the audible range at the
surface of Mars.
08
0
0.01
1
100
Time (s)
Frequency (Hz)
Frequency (Hz)
100
200
300
400
500
0
5
10
15
20
25
Wind speed (m s
–1
)
PSD (unit
2
Hz
–1
)
10
–11
10
–9
10
–7
10
–5
10
–3
10
–1
a
b
10
–10
10
–9
10
–8
10
–7
10
–6
PSD (Pa Hz
–1
)
Wind sensor 1
Wind sensor 2
Pressure (slope –1.1)
Wind (slope –0.95)
Acoustic (slope –4.9)
Shear-dominated regime
Dissipative
regime
60
40
20
160
140
120
100
Fig. 2 | Sound recordings and correlation with atmospheric data.
Recording
of Sol 38b.
a
, On top, the
y
axis of the time series ranges from −0.2 to 0.2 Pa. The
spectrogram (bottom) shows bursts that extend to 300 Hz. Overlaid, with the
y
axis on the right, are wind speeds from MEDA booms.
b
, The PSD calculated
for SuperCam’s microphone (in Pa
2
Hz
−1
for 167 s) and for MEDA pressure (in
Pa
2
Hz
−1
for 51 min around the microphone acquisition time) and MEDA wind
data (in (m s
−1
)
2
Hz
−1
). The wind PSD is artificially offset by 10
−2
in the
y
axis.