Overview of Venus orbiter, Akatsuki
- M. Nakamura1Email author,
- T. Imamura1,
- N. Ishii1,
- T. Abe1,
- T. Satoh1,
- M. Suzuki1,
- M. Ueno1,
- A. Yamazaki1,
- N. Iwagami2,
- S. Watanabe3,
- M. Taguchi4,
- T. Fukuhara3,
- Y. Takahashi3,
- M. Yamada1,
- N. Hoshino5,
- S. Ohtsuki1,
- K. Uemizu1,
- G. L. Hashimoto6,
- M. Takagi2,
- Y. Matsuda7,
- K. Ogohara1,
- N. Sato7,
- Y. Kasaba5,
- T. Kouyama2,
- N. Hirata8,
- R. Nakamura9,
- Y. Yamamoto1,
- N. Okada1,
- T. Horinouchi10,
- M. Yamamoto11 and
- Y. Hayashi12
© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB. 2011
Received: 25 June 2010
Accepted: 15 February 2011
Published: 21 June 2011
The Akatsuki spacecraft of Japan was launched on May 21, 2010. The spacecraft planned to enter a Venus-encircling near-equatorial orbit in December 7, 2010; however, the Venus orbit insertion maneuver has failed, and at present the spacecraft is orbiting the Sun. There is a possibility of conducting an orbit insertion maneuver again several years later. The main goal of the mission is to understand the Venusian atmospheric dynamics and cloud physics, with the explorations of the ground surface and the interplanetary dust also being the themes. The angular motion of the spacecraft is roughly synchronized with the zonal flow near the cloud base for roughly 20 hours centered at the apoapsis. Seen from this portion of the orbit, cloud features below the spacecraft continue to be observed over 20 hours, and thus the precise determination of atmospheric motions is possible. The onboard science instruments sense multiple height levels of the atmosphere to model the three-dimensional structure and dynamics. The lower clouds, the lower atmosphere and the surface are imaged by utilizing near-infrared windows. The cloud top structure is mapped by using scattered ultraviolet radiation and thermal infrared radiation. Lightning discharge is searched for by high speed sampling of lightning flashes. Night airglow is observed at visible wavelengths. Radio occultation complements the imaging observations principally by determining the vertical temperature structure.
Akatsuki (Planet-C project) is Japan’s third planetary explorer succeeding Suisei (Planet-A), which observed Halley’s comet, and Nozomi (Planet-B), which could not complete its mission to explore Mars. ‘Akatsuki’ is a Japanese word meaning ‘dawn’, and the spacecraft is also called the Venus Climate Orbiter. The results achieved from the interplanetary navigations in the Suisei, Nozomi, Hiten (Muses-A) and Hayabusa (Muses-C) missions are utilized in this project. Akatsuki was successfully launched on May 21, 2010 using the H-IIA Launch Vehicle No. 17. After the separation from H-IIA, the telemetry from Akatsuki was normally detected by the Deep Space Network (DSN) Goldstone station and the solar cell paddles’ expansion was confirmed. Akatsuki was put into the three-axis stabilized mode in the initial operation from the Japan’s Uchinoura station and the critical operation was finished on the same day.
Venus is one of the most attractive targets in the solar system when we seek to understand how terrestrial planets differentiate into various types. Venus is our nearest neighbor, and has a size very similar to the Earth’s. However, previous spacecraft missions discovered an extremely dense (∼92 bar) and dry CO2 atmosphere with H2SO4-H2O clouds floating at 45–70 km altitudes, and exotic volcanic features covering the whole planet. The abundant gaseous CO2 brings about a high atmospheric temperature (∼740 K) near the surface via greenhouse effect. The atmospheric circulation is also much different from the Earth’s as described in Section 2.
The former Soviet Union sent many probes to Venus from the 1960s to the 1980s. Their Venera series used entry probes and orbiters to study the atmospheric composition and structure, surface composition, and topography (Moroz, 1983). Although the surface of Venus was too hot for the entry probes to survive for more than two hours, their observations gave us a rough idea about the Venusian environment. The Pioneer Venus orbiter and entry probes of U.S., which were launched in 1978, also provided plenty of new information on the atmosphere and the surface (Colin, 1980). The Vega balloons were dropped into the cloud layer of Venus by the Soviet Union and France in 1985 and observed meso-scale cloud processes and horizontal advection over 46 hours (Sagdeev et al, 1986). The U.S. probe Magellan, which took off for Venus in 1989, radar-mapped the Venusian surface precisely (Saunders et al, 1992). In 1990, the Galileo spacecraft encountered Venus for a gravity assist to obtain kinetic energy to go to Jupiter, and at that time, it observed the Venus atmosphere (Johnson et al, 1991).
After these missions, the exploration of Venus was interrupted for more than 10 years, in spite of the fact that most of the fundamental questions raised so far still remain unsolved. This is partly because people were focusing on Mars and the Moon as places that are easier for human beings to land on. It was not until the 21st century that Venus exploration was restarted. The Europeans were first out of the gate; the European Space Agency (ESA) developed and launched Venus Express in a very short time, in November 2005, by reusing designs from Mars Express, which had already taken off (Svedhem et al , 2007). Akatsuki was developed almost in parallel with Venus Express.
Akatsuki aims to solve the mystery of the atmospheric circulation and cloud formation of Venus, with secondary targets being the exploration of the ground surface and the zodiacal light observation during the cruise to Venus. The exploration of the Venusian meteorology is important not only for understanding the climate of Venus but also for a general understanding of planetary fluid dynamics. Akatsuki will explore the Venusian atmosphere using a set of sophisticated optical instruments dedicated to meteorological study and radio occultation technique. Such an approach complements the Venus Express mission, which also aims to understand the Venusian environment with a different approach.
The Venus orbit insertion maneuver for Akatsuki on December 7, 2010 has failed. At present the spacecraft is orbiting the Sun, and it will have a chance to encounter Venus 5 or 6 years later. JAXA is examining the possibility of conducting an orbit insertion maneuver again at this opportunity. The present paper briefly introduces the Akatsuki’s science goals, mission design, science instruments, observation plan, and the relationship with Venus Express; these will be largely unchanged in the renewed plan. The details of the science instruments are given in the accompanying papers.
2. Scientific Background
The principal mode of the atmospheric circulation of Venus is a zonal westward rotation of the entire atmosphere called the super-rotation (Schubert, 1983). The wind speed increases with height and reaches ∼100 m s−1 near the cloud top (∼65 km altitude), while the solid planet rotates in the same direction very slowly with a period of 243 Earth days corresponding to an equatorial rotation speed of 1.6 m s−1. Because of this rapid rotation of the atmosphere, the wind field and the temperature field are considered in a cyclostrophic balance, where the horizontal projection of the centrifugal force is equal to the meridional pressure gradient. The zonal wind velocity at the cloud top is fairly constant in the latitude range of 50° S–50°N, while it is near solid-body rotation (constant angular velocity) below ∼40 km altitude. Prominent mid-latitude jets are seen at cloud heights especially in the wind field derived from the temperature distribution by integrating the thermal wind equation assuming cyclostrophic balance (Newman et al , 1984). Since eddy viscosity should transport angular momentum downward and pass it to the solid planet, some mechanism which extracts angular momentum from the solid planet and transports it to the upper atmosphere is required to maintain the easterly vertical shear associated with the super-rotation.
Various mechanisms explaining the super-rotation have been proposed so far (Gierasch et al, 1997). Among them is the combination of a thermally-driven Hadley circulation and axiasymmetric disturbances (eddies) which transport angular momentum equatorward (Gierasch, 1975). In this mechanism an upward branch of the Hadley cell transports larger angular momentum than the downward branch, thereby accumulating angular momentum at higher levels. Two-dimensional models predict that barotropic instability of mid-latitude jets will cause equatorward transport of angular momentum (Rossow and Williams, 1979; Iga and Matsuda, 2005). However, the mode of eddy momentum transport in a three-dimensional atmosphere is unclear. The prominent mid-latitude wave mode with a 5-day period seen at the cloud top (Del Genio and Rossow, 1990) might be generated via the instability of mid-latitude jets. Cloud-tracked wind data suggests poleward eddy momentum transport and a resultant equatorial deceleration (Limaye et al., 1988; Rossow et al., 1990), although the absence of wind measurements on the nightside might cause a bias in the estimation of the momentum transport.
Atmospheric general circulation models for Venus-like slowly rotating planets seem to favor this process as the mechanism of maintaining the super-rotation (Del Genio and Zhou, 1996; Yamamoto and Takahashi, 2003, 2006; Lee et al, 2007; Kido and Wakata, 2008). However, these models assume either an unrealistically high solar heating rate in the deep atmosphere or an unrealistically large equator-to-pole surface temperature gradient so that a strong Hadley circulation can exist in the deep atmosphere. Hollingsworth et al (2007) argued that this mechanism would induce only extremely weak super-rotation when realistic diabatic heating is imposed in the lowest several scale heights. Improvements in the treatment of radiative transfer in the lower atmosphere are strongly needed.
Vertically-propagating waves might also induce vertical momentum transport. Thermal tides will be excited in the cloud layer by periodic solar heating and propagate both upward and downward (Fels and Lindzen, 1974; Newman and Leovy, 1992). Thermal tides reaching the ground surface would give negative angular momentum to the solid planet, and at the same time the atmosphere is accelerated. The difficulty of this mechanism has been thought that the dissipation of the tides will generate critical layers below the cloud to inhibit further momentum transport. However, Takagi and Matsuda (2005, 2007) argued that such waves reach the surface without being dissipated significantly. Diurnal and semidiurnal tides are observed in the temperature structure above clouds (Taylor et al., 1980; Zasova et al., 2002; Tellmann et al., 2009) and in the cloud-top wind field (Rossow et al., 1990), while propagation to the lower atmosphere has not yet been observed.
It might also be possible that equatorial Kelvin waves or internal gravity waves are excited in the lower atmosphere and transport angular momentum upward (Del Genio and Rossow, 1990; Yamamoto and Tanaka, 1997). Note, however, that the vertical extent of the momentum transport associated with these waves is unknown. Covey and Schubert (1982) studied the linear response of a model Venus atmosphere to external forcing over broad frequencies, and showed that a Kelvin-like wave similar to the observed one will be excited as a preferred mode for both cloud-level and surface-level forcing. Smith et al. (1993) argued that adding a cloud feedback heating to the model greatly enhance a Kelvin-like wave, which shows standing behavior below 53 km altitude and upward propagation above. The specific disturbance that provides energy to the Kelvin wave has not been identified. Small-scale atmospheric structures indicative of internal gravity waves were observed in temperature profiles (Hinson and Jenkins, 1995) and in cloud images (Markiewicz et al., 2007; Peralta et al., 2008). Oscillating vertical winds encountered by Vega balloons over highlands are attribute to orographically-excited gravity waves (Sagdeev et al., 1986); orographic waves, however, should transport eastward momentum upward and decelerate the super-rotation.
The difficult situation described above is in large part attributed to the lack of information on the synoptic- to planetary-scale waves that induce angular momentum transport. The relationship between the activities of such waves and the temporal variability of the background zonal wind would provide key information. The structure of the meridional circulation (Section 2.2) should also be known.
2.2 Meridional circulation
Meridional circulation is an important issue not only in the momentum balance of the super-rotation but also from the viewpoint of the thermal balance and the chemical cycle of the atmosphere. Vertically-stacked direct and indirect cells have been proposed based on the wind measurements by entry probes (Schubert et al., 1980). However, it is possible that the observed meridional winds are not mean meridional circulation but transient eddies, although vertically-staked cells are considered reasonable for the Venusian atmosphere where the solar energy is deposited not only near the surface but also in the cloud layer.
Another observational clue is a poleward circulation with a speed of ∼10ms−1 observed at the dayside cloud top by cloud tracking (Limaye and Suomi, 1981; Rossow et al., 1990; Moissl et al., 2009). However, the limited local time coverage in these observations may allow a significant contamination of the thermal tide component, which can be up to ∼10ms−1 (Newman and Leovy, 1992). At lower heights (∼50 km), cloud tracking using near-infrared wavelengths suggests a much weaker circulation, which is below the detection limit of these measurements of a few m s−1 (Belton et al., 1991; Sánchez-Lavega et al., 2008). The adiabatic heating of the high latitude stratosphere above the cloud, which is suggested by the temperature increase at high latitude (Crisp, 1989; Pätzold et al., 2007), and the increased CO mixing ratio in the high-latitude below the cloud layer (Collard et al., 1993; Tsang et al., 2008) are thought to be attributed to the downward branch of the cloud-level Hadley circulation.
The structure of the meridional circulation might be determined by the distribution of wave-induced acceleration and deceleration (Hou and Goody, 1989). Imamura (1997) argued that the momentum deposition by midlatitude Rossby waves might drive the poleward circulation above clouds. Numerical model results suggest that only extremely weak meridional circulation can exist at lower heights when a realistic diabatic heating is imposed in the lowest several scale heights (Hollingsworth et al., 2007). Stone (1974) argued that the heat transport by a direct (Hadley) circulation will explain the observed approximately neutral (but slightly stable) stratification of the lower atmosphere.
The cloud-top poleward circulation will supply angular momentum to the polar region to maintain the polar vortex and bring about the polar dipole by initiating barotropic instability (Taylor et al, 1980; Elson, 1982). The dipole structure extends down to the lower cloud and perhaps deeper (Piccioni et al , 2007). The barotropic eddies creating the dipole will impose an eastward torque on the polar vortex which is basically in cyclostrophic balance, thereby driving the influx of air into the polar region and downward into the lower atmosphere. The polar dipole might play a key role in the air exchange across the cloud layer.
Vertical transport of air and momentum will occur also via small-scale turbulence. Woo et al. (1980) analyzed the time series of the signal power observed during radio occultations and compared their spectra with theoretical scintillation spectra based on a theory of wave propagation through small-scale density structures. They found that a turbulent layer exists around 60 km altitude, and the scintillation power is higher at higher latitudes. An eddy diffusion coefficient of 4 m2 s−1 was estimated for 60 km altitude from the same data set. Leroy and Ingersoll (1996), on the other hand, attributed the scintillations to vertically-propagating gravity waves created by cloud-level convection.
2.3 Thermosphere and ionosphere
In the thermosphere, a large pressure difference between the dayside and the nightside leads to a subsolar-to-antisolar circulation (Bougher et al., 1997). The shift of the brightest regions of night airglows toward the dawn suggests that the thermospheric circulation is a combination of a subsolar-to-antisolar flow and a super-rotation (Allen et al., 1992). Seiff (1982) suggested that the subsolar-to-antisolar flow would become supersonic if only the acceleration by the pressure gradient force is considered, and that the observed flow speed of ∼100ms−1 suggests a deceleration by wave-induced drag. The strengths of the subsolar-to-antisolar flow and super-rotation change from time to time; the observed variability of the distribution of airglows indicates the variability of the thermospheric circulation (Crisp et al , 1996; Ohtsuki et al., 2008), which might be due to the variability in the momentum deposition by gravity waves. A comparative study of the thermospheric circulation and the lower atmosphere circulation will offer clues to the question why zonal circulation dominates in the lower atmosphere in such a slowly-rotating planet.
At altitudes above ∼100 km the thermosphere merges into the ionosphere. The peak electron density occurs at around 150 km altitude, and is on the order of 105 cm−3 on the dayside and 104 cm−3 on the nightside (Kliore, 1992). The ionosphere of Venus is not protected by the planet’s intrinsic magnetic field from the impinging solar wind, and thus the thermal and magnetic pressure of the ionosphere will balance the dynamic pressure of the solar wind at the upper boundary of the ionosphere called the ionopause, which is located at around 200–400 km. The structure of the ionosphere is important for understanding the escape of the atmosphere to space, which should have driven the climate evolution of Venus in a geological time scale.
2.4 Clouds and lightning
The energy budget and chemical cycle of the Venusian atmosphere is strongly influenced by the highly reflective H2SO4-H2O clouds, which float at around 45–70 km altitudes (Esposito et al, 1983). H2SO4 is thought to be produced photochemically near the cloud top via the oxidation of SO2 and H2O, which are abundant below the cloud top, and thus the clouds basically have characteristics of photochemical aerosols. Cloud droplets are transported to the lower atmosphere by vertical winds and sedimentation, and eventually evaporate to produce a H2SO4 vapor layer, which drives chemical cycles below the clouds (Krasnopolsky and Pollack, 1994). Radio occultation measurements showed that the H2SO4 vapor density reaches the maximum value of 18–24 ppm around 38–45 km altitude (Jenkins et al , 1994). Above this altitude the density is limited by the saturation pressure, while below this altitude it drops precipitously probably due to thermal decomposition.
A strong coupling between cloud condensation and atmospheric motion is also expected to occur in the lower part of the cloud layer (50–55 km). The heating of clouds by up-welling infrared radiation drives vertical convection, while vertical convection enhances cloud formation by transporting H2SO4 vapor upward (Imamura and Hashimoto, 2001; McGouldrick and Toon, 2007). The static stability is near neutral in this region, implying the occurrence of vertical convection (Fjeldbo et al , 1971; Tellmann et al , 2009). What determines the vertical extent and the density of the convectively-generated clouds is a major issue in the cloud physics of Venus.
The cell-like structures observed at the cloud top near the sub-solar region in ultraviolet (Rossow et al, 1980; Markiewicz et al , 2007) are indicative of the convection inside clouds mentioned above. However, the origin of these structures are still unclear, because their horizontal scales of up to several hundreds kilometers seem to be too large for convective cells and the cloud top region is considered to be stably stratified (Baker and Schubert, 1992; Toigo et al, 1994). Observations of the three-dimensional cloud structure together with the temperature structure over a broad local time would give clues to this problem.
The global-scale meridional circulation of the atmosphere might also determine the life cycle of cloud particles and the cloud structure, because the sedimentation timescale of cloud particles with a typical diameter of a few micrometers (Knollenberg and Hunten, 1980) will be longer than the atmospheric turnover time of a few months estimated from cloud tracking (Imamura and Hashimoto, 1998; Yamamoto and Tanaka, 1998). Imamura and Hashimoto (1998) argued that H2SO4 vapor is accumulated near the equatorial cloud base due to the precipitation in the equatorial upwelling and that this leads to the thickening of the lower cloud which was observed by entry probes. The interaction of cloud physics with various atmospheric motions will be reflected in the mysterious ultraviolet markings at the cloud top, whose dynamical origins are mostly unknown (Rossow et al , 1980).
The chemical species that are responsible for the ultraviolet dark regions have not yet been fully identified. Although SO2 explains the absorption at wavelengths between 200 nm and 320 nm, the absorption at >320 nm should be due to another absorber. The candidates for this absorber include S, S2O and FeCl2 (Esposito et al, 1997). The mixing ratios of these absorbers are considered to increase precipitously with decreasing the altitude below the cloud top (Pollack et al, 1980). Identification of the absorber is important not only for atmospheric chemistry but also for the radiative energy budget, since the absorption makes a non-negligible contribution to the heating profile in the cloud layer (Ekonomov et al , 1984).
Lightning discharge is closely related to cloud formation and can be an indicator of vigorous convective activity. Lightning also potentially influences atmospheric chemistry via chemical reactions along discharge paths. The occurrence of lightning in the Venusian atmosphere has been suggested by various observations (Grebowsky et al, 1997). Recently the Venus Express magnetometer also detected whistler-mode electromagnetic waves which might come from lightning discharges (Russell et al , 2007). However, the occurrence is still under debate since the conventional mechanism of charge separation in terrestrial clouds requires H2O ice particles, which will not be formed in the Venusian atmosphere. Large solid particles of unknown composition suggested by the particle size spectrometer on the Pioneer Venus probe (Knollenberg and Hunten, 1980) might play some role.
2.5 Surface processes
The composition and abundance of the Venusian atmosphere might be controlled by the chemical coupling with the crust (Fegley et al , 1997; Wood, 1997). One possibility is that the atmospheric CO2 abundance is determined by the equilibrium partial pressure over a calcite-quartz-wollastonite assemblage. However, this model has difficulties that a climate system under this equilibrium would be unstable and that the observed SO2 mixing ratio in the lower atmosphere is inconsistent with the presence of cal-cite on the surface if no volcanic source of SO2 is considered (Hashimoto and Abe, 2005). It has also been proposed that the atmospheric SO2 mixing ratio is in equilibrium with a pyrite-magnetite assemblage. This chemical coupling would stabilize the climate through a cloud-albedo feedback (Hashimoto and Abe, 2000). Anomalous radar reflectivity areas observed at Venusian highlands might be attributed to pyrite produced by the atmosphere-surface interaction above, although heavy metal frost may also explain the reflectivity (Schaefer and Fegley, 2004). Near-infrared imaging spectroscopy has a potential to improve our knowledge on the chemical coupling through constraining the spatial inhomogeneity of the surface material (Hashimoto and Sugita, 2003).
Venus may have experienced large environmental changes. The redox state of Venus surface is an important parameter, since redox state of the surface is likely related to the escape of water. Hashimoto et al. (2008) evaluated the spatial variation of the surface emissivity at 1.18 μm wavelength using spectroscopic data, and showed that the data of highland materials are generally consistent with a felsic rock composition, possibly indicative of an ancient ocean.
The thermal evolution and chemical differentiation of a terrestrial planet is related to volcanism. Its climate and surface environment are also controlled by volcanism in that the associated degassing affects the atmospheric composition producing climate variations (Hashimoto and Abe, 2000). The current rate of volcanism, which is a key parameter determining the present chemical state of the atmosphere, is uncertain (Basilevsky et al., 1997). Near-infrared imaging will be a valuable tool also for constraining the state of volcanism via the search for active volcanoes (Hashimoto and Imamura, 2001).
2.6 Interplanetary dust
The zodiacal light, i.e. the interplanetary dust (IPD) cloud, is observed in the cruising phase of the mission. A major issue in the IPD cloud is its origin, since the lifetime of IPD particles under the Poynting-Robertson drag is absolutely shorter than the age of the solar system.
Imaging observation is one of the effective approaches to study the origins of the IPD clouds, since the IPD clouds keep the morphological structures of their sources, that is, the particles must have the same orbital elements as their parents have. Observations of zodiacal light took the first step in ground-based measurements at visible wavelength; however, early photoelectric observations suffered from calibration uncertainty and poor spatial resolution. All-sky maps of the zodiacal light brightness at visible band have now reached a relative accuracy better than 10% and a spatial resolution of 2 arcmin. The accuracy and spatial resolution are being improved drastically by the WIZARD project (Ishiguro et al., 2002).
The Infrared Astronomical Satellite (IRAS) outdated the smooth featureless pictures of the zodiacal light by revealing numerous bands of asteroidal debris, several narrow trails of cometary dust, and a clumpy dust ring (Dermott et al., 1984; Sykes and Greenberg, 1986; Sykes and Walker, 1992). The ring clumps comprise always the same configuration in the frame rotating at the rate of the Earth’s orbital motion. The success of IRAS was largely due to the improvements in the relative accuracy and spatial resolution, that were made possible by the measurements free from the Earth’s scattering atmosphere.
The Cosmic Background Explorer (COBE) Diffuse Infrared Background Experiment (DIRBE) surveyed almost the entire sky with a 0.7° size beam and with much better calibration (Kelsall et al., 1998). One of the most important results of this mission is a confirmation of the mean motion resonance dust ring, and an isolation of the leading and trailing blobs in the mean motion resonance feature.
3. Spacecraft Design and Orbit
The camera field of view (FOV) is directed toward targets by using the attitude control of the spacecraft. The pointing accuracy is 0.15° (1σ), which is much smaller than the camera FOVs of 12–16° (Section 4). The attitude stability is 0.01° or better up to 45 seconds except shortly after attitude maneurvers or unloadings of the momentum wheels. This stability allows cameras with pixel resolutions of 0.012° to avoid significant blurring of images. The attitude determining accuracy is around 0.01° or worse, and thus the redetermination of the camera FOVs by limb fitting technique is needed for precise cloud tracking (Section 6).
4. Science Instruments
IR1, IR2, UVI and LIR are cameras with large-format detector arrays, and have much common features in the image data format. They are operated sequentially as a unit in many cases as described in Section 5. For these reasons, a dedicated camera control unit called the Digital Electronics unit (DE) was developed to conduct sequential exposures using these cameras and to process the image data from these cameras before storing them in the data recorder.
Basic specifications of the cameras onboard Akatsuki.
12 × 12
Si-CSD/CCD 1024 × 1024 pixels
1.01 μm (night)
0.97 μm (night)
0.90 μm (night)
0.90 μm (day)
0.90 μm, Diffuse
12 × 12
PtSi-CSD/CCD 1024 × 1024 pixels
1.735 μm (night)
Clouds, Particle size
2.26 μm (night)
2.32 μm (night)
CO below clouds
2.02 μm (night)
1.65 μm (night)
12 × 12
Si-CCD 1024 × 1024 pixels
283 nm (day)
SO2 at cloud top
365 nm (day)
16.4 × 12.4
Uncooled bolometer 328 × 248 pixels
10 μm (day/night)
Cloud top temperature
16 × 16
multi-anode APD 8 × 8 pixels
777.4 nm (night)
480–605 nm (night)
O2 Herzberg II airglow
557.7 nm (night)
545.0 nm (night)
4.1 1-µm Camera (IR1)
IR1 (Iwagami et al , in press) was designed to image the dayside of Venus at 0.90 μm wavelength and the nightside at 0.90, 0.97 and 1.01 μm wavelengths, which are located in the atmospheric windows (Taylor et al , 1997). These windows allow radiation to penetrate the whole atmosphere.
The dayside 0.90 μm images visualize the distribution of clouds illuminated by sunlight. Although the dayside disk at this wavelength appears almost flat, small-scale features with contrasts of ∼3% are observed and considered to originate in the middle and lower cloud region (Belton et al , 1991). Tracking of such cloud features provides the wind field in this region.
On the nightside, IR1 measures the thermal radiation mostly from the surface and a little from the atmosphere. The 0.97 μm radiation is partially absorbed by H2O vapor, and thus the comparison of this radiance with radiances at other wavelengths allows the estimation of H2O content below the cloud. Measurements at 0.90 and 1.01 μm will yield information about the surface material (Baines et al , 2000; Hashimoto and Sugita, 2003), and are expected to find out hot lava ejected from active volcanoes by utilizing the high sensitivity of the radiance to temperature in this wavelength region (Hashimoto and Imamura, 2001).
As imaging instruments, IR1 and IR2 have many common features. These cameras share electronics for A/D conversion since the detector arrays in these cameras are electronically nearly identical. Each of the cameras consists of a large baffle which eliminates stray light from the sun, refractive optics, a filter wheel, and a 1040 × 1040 pixels detector array (1024×1024 area is used). The optics and the detector array altogether yield an effective FOV of 12° , giving the pixel resolution of ∼16 km from the apoapsis (13 Rv) and ∼6 km from the distance of 5 Rv. The detector array of IR1 is a Si-CSD (charge sweeping device)/CCD which is cooled down to 260 K to achieve a signal-to-noise ratio of ∼300 on the dayside and ∼ 100 on the nightside.
4.2 2-µm Camera (IR2)
IR2 utilizes the atmospheric windows at wavelengths of 1.73, 2.26, and 2.32 μm; the first two suffer only CO2 absorption, while the last one contains a CO absorption band. At these wavelengths the outgoing infrared radiation originates from the altitudes 35–50 km.
To track cloud motions a series of 2.26 μm images will be mostly used. As the small-scale inhomogeneity of the Venusian cloud layer is thought to occur predominantly at altitudes 50–55 km (Belton et al., 1991), the IR2 observations should yield wind maps in this region. As CO is photochemically produced above the cloud and subsequently transported to the deeper atmosphere (such sinks are not yet precisely located), the distribution of CO should give us information about the vertical circulation of the atmosphere. We will extract the CO distribution at 35–50 km altitudes by differentiating images taken at 2.26 and 2.32 μm (Collard et al, 1993; Tsang et al, 2008). To study the spatial and temporal variations in the cloud particle size, the cloud opacities at 2.26 and 1.73 μm, together with the IR1 1.01-µm and 0.90-µm images, will be analyzed with the aid of radiative transfer calculations (Carlson et al., 1993).
IR2 employs two additional wavelengths. At 2.02 μm, which is located in a prominent CO2 absorption band, we expect to observe the variation of the cloud-top altitude as intensity variations of the reflected sunlight similarly to the cloud altimetry by Venus Express VIRTIS using the 1.6-µm CO2 band (Titov et al , 2008). The astronomical H-band centered at 1.65 μm aims at observing the zodiacal light.
IR2 utilizes a 1040× 1040 pixels PtSi sensor (1024× 1024 area is used), which has advantages such as the high stability, uniformity and durability against energetic radiation. The architecture of the device is based on a technology of the 512× 512 PtSi detector which was applied to astronomical observations (Ueno, 1996). To suppress the thermal electrons in the detector, it is cooled down to 65 K by a stirling cooler. Heat is also removed from the lens and lens housing, making these components be cooled down to ∼ 170 K. The resultant signal-to-noise ratio is expected to be over 100 when imaging the Venusian nightside.
For observing the zodiacal light, the camera optics is designed to suppress the instrumental background as well as the stray light. The large baffle of the camera is very useful for IPD observations, because it provides us with very wide coverage in the solar elongation angle from 180° (anti-solar direction) to 30°. The PtSi sensor is specially designed to realize precise measurements of the instrumental zero level. The stability of the zero level is essentially important for the IPD observations, because the target is extending beyond the instantaneous FOV of the camera.
4.3 Ultraviolet Imager (UVI)
The solar ultraviolet radiation scattered from the Venusian cloud top shows broad absorption between 200 nm and 500 nm wavelengths. SO2 explains the absorption between 200 nm and 320 nm, while the absorber for >320 nm has not yet been identified (Esposito et al., 1997). UVI is designed to map the ultraviolet contrast at 283 nm for observing SO2 and at 365 nm for the unknown absorber.
UVI will make clear the spatial distributions of these ultraviolet absorbers and their relationships with the cloud structure and the wind field. The tracking of ultraviolet markings yields wind vectors at the cloud top (Rossow et al , 1990). The mixing ratios of both SO2 and the unknown absorber are considered to increase precipitously with decreasing the altitude below the cloud top (Pollack et al , 1980; Bertaux et al., 1996), and thus the spatial distributions of these species should be sensitive to vertical air motions (Titov et al , 2008). In addition to nadir-viewing observations, limb observations will visualize the vertical structure of the haze layer above the main cloud (Belton et al , 1991).
UVI utilizes an ultraviolet-coated backthinned frame transfer Si-CCD with 1024× 1024 pixels. Given the FOV of 12°, the pixel resolution is ∼16 km at the apoapsis (distance of 13 Rv) and ∼6 km from the distance of 5 Rv. The singal-to-noize ratio is expected to be ∼120 when viewing the dayside Venus.
4.4 Longwave Infrared Camera (LIR)
LIR (Taguchi et al , 2007; Fukuhara et al , in press) detects thermal emission from the cloud top in a wavelength region 8–12 μm to map the cloud-top temperature, which is typically ∼230 K. Unlike other imagers onboard Akatsuki, LIR is able to take images of both dayside and nightside with equal quality. The cloud-top temperature map will reflect mostly the cloud height distribution, whose detailed structure is unknown except in the northern high latitudes observed by Pioneer Venus OIR (Taylor et al., 1980) and the southern high latitudes observed by Venus Express VIRTIS (Piccioni et al., 2007). LIR has a capability to resolve a temperature difference of 0.3 K, corresponding to a few hundred-meters difference in the cloud height.
The images taken by LIR will visualize convective cells and various types of waves within the cloud layer. Tracking of the movements of blocky features will also yield wind vectors covering both dayside and nightside. Such a full local time coverage has never been achieved in the previous wind measurements, and will enable, for example, the derivation of zonal-mean meridional winds for the first time.
The sensor unit of LIR includes optics, a mechanical shutter, an image sensor and its drive circuit, and a baffle that keeps direct sunlight away from the optical aperture. The image sensor is an uncooled micro-bolometer array with 328 × 248 pixels for a FOV of 16.4° × 12.4°. Since the sensor can work under room temperature, huge and heavy cryogenic apparatus which is usually necessary for infrared devices is unnecessary. The frame rate of the image sensor is 60 Hz, and several tens of images obtained within a few seconds will be accumulated to increase the signal-to-noise ratio. Given the FOV of 12.4° for 248 pixels, the pixel resolution is ∼70 km on the Venus surface when viewed from the apoapsis (13 Rv), and is ∼26 km from the distance of5Rv.
4.5 Digital Electronics unit (DE)
DE is a controller for IR1, IR2, UVI and LIR. To conduct a set of camera operations which is repeated many times (every 2 hours in nominal global imaging), the main satellite system controller (Data Handling Unit) triggers the DE unit. DE, then, sequentially triggers detailed observation sequences of the cameras including filter wheel and gain settings, exposure, and data transfer. DE is also responsible for arithmetic data processing, data compression, and telemetry data formatting and packeting.
To repeat a variety of observation sequences (Section 5), each of which includes complicated manipulations of multiple cameras as a unit, we prepared a set of ‘observation programs’ and installed them in DE. For example, the ‘day_delux’ observation program setups the cameras, takes images using all dayside filters of the four cameras sequentially, conducts arithmetic data processing, compresses the acquired image data, and shutdowns the cameras, within 26 minutes. The observation programs will be updated several times during the mission depending on the results of the observations. The data compression ratios specified in the observation programs will also be changed during the mission depending on the Earth-Venus distance.
The arithmetic data processing includes dark signal subtraction, dead pixel correction, computation of median from multiple images, averaging of images, and flat field correction. The data compression method is either the lossless compression by the HIREW software developed by NEC Ltd. (Takada et al , 2007) or the JPEG2000 lossless/lossy compression (Boliek et al , 2000). Since the derivation of wind vectors from high-resolution cloud images might require high fidelity data acquisition, we will use lossless data compression as far as possible. However, in the epochs of low telemetry rate, lossy compression will also be adopted.
4.6 Lightning and Airglow Camera (LAC)
LAC (Takahashi et al , 2008) searches for lightning flashes and maps airglow emissions on the nightside disk of Venus when Akatsuki is located in the eclipse (umbra) of Venus. A major goal of the lightning observation is to settle the controversy on the occurrence of lightning in the Venusian atmosphere. The distribution of lightning, if it exists, should reflect the microphysics of clouds and the dynamics of mesoscale convection. The 777.4 nm [OI] line of atomic oxygen is utilized for lightning observation, since this line is considered as the most strong emission from lightning discharges according to a laboratory experiment simulating the Venusian atmosphere (Borucki et al., 1996). Possible lightning flashes were detected on the nightside disk of Venus at this wavelength by using a ground-based telescope (Hansell et al., 1995).
LAC also measures emissions in two airglow bands to study the global-scale circulation and small-scale waves in the lower thermosphere. One is the O2 Herzberg II emission centered at 552.5 nm wavelength, which is considered a consequence of the recombination of atomic oxygen in downwelling and is the strongest emission among the visible Venusian airglows (Slanger et al, 2001). The other is the 557.7 nm [OI] emission; though Venera 9 and 10 failed to detect this emission (Krasnopolsky, 1983), Slanger et al. (2001, 2006) observed it using a ground-based telescope.
LAC has a FOV of 16°. The detector is a multi-anode avalanche photo-diode (APD) with 8×8 pixels of 2 mm square each. Among the 64 pixels of the APD, 4×8 pixels are allocated to 777.4 nm for lightning detection, 2×8 pixels are allocated to 480–605 nm for O2 Herzberg II emission, 1 × 8 pixels are allocated to 557.7 nm emission, and 1 × 8 pixels are used for an airglow-free background at 545.0 nm. These wavelengths are covered by using rectangular interference filters fixed on the detector.
In the lightning observation mode, individual lightning flashes are sampled at 32 kHz by pre-triggering. Lightning flashes with an intensity of 1/100 of typical terrestrial lightning would be detected when viewed from 1000 km altitude. For mapping airglows, the Venusian nightside is scanned by changing the direction of the FOV. The detector’s one pixel corresponds to 35 km resolution on the Venusian surface viewed from 1000 km altitude, and 850 km resolution from 3 Rv altitude.
4.7 Radio Science (RS)
RS (Imamura et al, in press) aims to determine the vertical structure of the Venusian atmosphere using radio occultation technique. In this experiment, the spacecraft transmits radio waves toward the tracking station (Usuda Deep Space Center of Japan) and sequentially goes behind the planet’s ionosphere, neutral atmosphere, and solid planet as seen from the tracking station, and reemerges in the reverse sequence. During such occultation events the neutral and ionized atmospheres of the planet cause bending, attenuation and scintillation of radio waves. The received signal is recorded with an open-loop system and analyzed offline.
The frequency variation observed at the tracking station yields the time series of the bending angle, from which the vertical profile of the refractive index is derived. The refractive index profile yields the temperature profile of the neutral atmosphere by assuming hydrostatic balance (Fjeldbo et al, 1971). The height range of the Venusian neutral atmosphere accessible by radio occultation is approximately 32–90 km; below 32 km the radius of curvature of the ray path becomes smaller than the distance to the planet center. The ionospheric electron density profile is also derived from the refractive index profile. From the observed signal power variation, the sub-cloud H2SO4 vapor densities (Jenkins et al., 1994) and the intensity of small-scale density fluctuation (Woo et al., 1980) are obtained.
The uniqueness of Akatsuki RS as compared to the previous radio occultation experiments at Venus is that low latitudes can be probed many times thanks to the near-equatorial orbit, so that broad local time regions are covered. Another merit of Akatsuki is that the locations probed by RS can be observed by the cameras a short time before or after the occultations.
An ultra-stable oscillator (USO) provides a stable reference frequency which is needed to generate the X-band downlink signal used for RS. The USO is a heritage from the USOs flown onboard the ESA’s Rosetta and Venus Express spacecraft (Häusler et al., 2006).
5. Observation Modes
Given a variety of scientific interest described in Section 2, the optimal observation mode changes as the geometrical relationship among Akatsuki, Venus, the Earth and the sun changes. The observation modes we have prepared are roughly classified into the following six groups. These observations are conducted sequentially in each orbital revolution.
5.1 Global imaging
Global imaging will be done using IR1, IR2, UVI and LIR in the portion of the orbit where the typical camera FOV of 12° roughly covers the apparent Venus disk; this portion corresponds approximately to 20 hours centered at the apoapsis (Fig. 3). Cloud images will be obtained every 2 hours (nominal) for each observation wavelength from this ’quasi-synchronized’ part of the orbit. By using these successive images, the development of the atmospheric structure is monitored, and wind vectors are derived by tracking small-scale cloud features with cross-correlation method (Rossow et al., 1990). Once the spacecraft passes through the periapsis and returns to the apoapsis side again, the cloud-level air mass that was observed in the previous apoapsis passage has advected westward by 60– 100° in longitude depending on the observed altitude in the cloud layer. Therefore, a 360° zonal overage of the cloud layer needs 4–6 orbital revolutions.
The camera pointing direction for this observation is not always nadir, but shifted to the sunlit side for dayside imaging and to the dark side for nightside imaging by up to ∼10°. The purposes of this angular offset are (1) to include the planetary limb in the image so that the pointing direction can be determined accurately from the limb position, (2) to maximize the area of the atmosphere or the surface observable with each filter, and (3) to avoid stray light when observing the nightside. When both dayside surface and nightside surface are visible with more than 30% of the disk area from the spacecraft, dayside observations and nightside observations are sequentially conducted with an attitude maneuver between them.
It should be noted that the orbital phase which is allocated to the data downlink to the tracking station changes from revolution to revolution because the orbital period is not 24 hours. To minimize the interruption of the global imaging, interruptions of data transfer will be considered when the telecommunication window overlaps the orbital phase suitable for global imaging.
5.2 Close-up imaging
In the close-up imaging mode, a particular point on the cloud layer is continuously monitored using principally UVI and LIR from the distances of roughly 1000– 10000 km, for the purpose of observing the temporal development of meso-scale processes and also for stereo-viewing of the cloud tops. During this observation sequence, cloud images are obtained every 5–10 minutes, while the spacecraft attitude is controlled so that the camera FOV continuously capture roughly the same region. This observation mode basically targets dayside clouds, which should show extremely fine structures when viewed from up close (Markiewicz et al., 2007).
5.3 Limb imaging
The vertical distribution of aerosols which extend up to ∼100 km altitude is observed in limb-viewing geometry around a dayside periapsis passage using UVI, IR1 (0.90 μm) and LIR. The cameras will be directed to the tangential height of ∼85 km, where the line-of-sight optical depth is around unity (Belton et al., 1991). When the periapsis altitude is 400 km, the minimum distance to the tangential point is 2000 km, giving a vertical resolution of 400 m.
5.4 Zonal scan
Strips of, or intermittent cloud maps along the orbital tracks on the periapsis side are obtained by successive nadir observations using IR1, IR2, UVI and LIR. The cameras are operated for 1–2 hours around the periapsis with imaging intervals of shorter than 10 minutes. Although the instantaneous FOV is less than ∼1000 km on Venus and only the low latitude is covered, a set of such close-up images can capture a quasi-one dimensional zonal profile of the atmosphere, which should complement the global images taken from the apoapsis side in the studies of global-scale dynamics.
5.5 Eclipse observation
The eclipse (umbra) region along the orbit is allocated to LAC for observing lightning and airglow. Eclipses occur mostly near the periapsis with a typical duration of several tens of minutes. In the lightning search mode, LAC is operated in nadir-pointing geometry and waits for lightning flashes with event trigger method. In the airglow observation mode, LAC continuously records brightnesses while scanning the nightside disk by the attitude maneuver or the orbital motion of the spacecraft. Lightning search and air-glow measurements cannot be conducted simultaneously.
Nadir observations by IR2 and LIR will also be conducted together with the lightning observations depending on the condition of the onboard batteries. These data will be utilized to locate lightning flashes in particular meteorological events. Observations of lightning using UVI will also be tried with a long exposure time; although the sensitivity and temporal resolution of UVI are far below those of LAC, the high spatial resolution of UVI might complement LAC in lightning observations.
5.6 Radio occultation
Radio occultation experiments (RS) are performed when the spacecraft is hidden by Venus as viewed from the tracking station. Since the dense Venusian atmosphere causes considerable ray bending exceeding several tens of degrees, a spacecraft steering is required to compensate for this effect while the occultation geometry changes from ingress occultation to egress occultation. Without spacecraft steering, the radio waves, which are emitted from the high gain antenna within a 3-dB attenuation width of would miss the Earth. The duration allocated to RS covering both ingress and egress is 1–2 hours for each revolution. The location probed by RS will be imaged by IR1, IR2, UVI and LIR a short time (< 1 hour) before the ingress or short time after the egress.
6. Data Processing
The observational data which will be archived for public release are classified into level-2 and level-3. The level-2 data include calibrated images with geometrical information and vertical profiles from RS. The level-3 data include higher-level products. The data processing for these products is pipelined so that the products are released without long delay after data acquisition.
6.1 Level-2 products
Each image data will be stored in a file in the Flexible Image Transport System (FITS) format, which is composed of an image data block and a header block. The data block contains radiances or brightness temperatures for all pixels, which were converted from raw counts based on a calibration table. The header block contains ancillary information such as the time of the exposure, the filter selection, the instrument status, the geometry of observation, and the orbital information. In addition to these FITS image files, we will prepare an additional FITS file for each image, which contains the latitudes, the longitudes, the incident angles, the emission angles, the phase angles, the azimuth angles between the incident and emission rays, and the local solar times for all points where the line of sights for the camera pixels intersect with reference altitude surfaces of the Venusian atmosphere. These level-2 products will be archived in the Planetary Data System (PDS) or a system similar to PDS.
6.2 Level-3 products
Images of Venus projected onto regular longitude-latitude grids will be archived as a part of the level-3 products. The data format is the Network Common Data Form (NetCDF), which is commonly used among meteorologists. These grid data become the input data for the cloud tracking described later.
Before the projection onto longitude-latitude grids, the camera pointing direction is redetermined from the position of Venus in each image. This is because the accuracy of the onboard attitude determination is not enough for cloud tracking (Section 3). In the pipeline the position of the center of Venus in each image is determined by fitting an arc to the observed limb with the radius of the arc also being an unknown parameter. The limb of Venus is defined as the position where the spatial differentiation of the radiance with respect to each horizontal line has the largest absolute value.
In the final stage of the data stream, horizontal distributions of the zonal wind and the meridional wind are obtained by tracking cloud features found in the Venus images taken by cameras except LAC in the longitude-latitude coordinate. Considering that different wavelength filters correspond to different altitudes, a three-dimensional distribution of the horizontal wind is obtained by combining the cloud tracked winds from different wavelength images. For tracking small-scale cloud features, the global-scale brightness variation due to spherical geometry is removed and a high pass filter is applied before analysis. In the pipeline the cross correlation method (e.g., Rossow et al, 1990) will be used for deriving cloud motions using a pair of cloud images; when the displacement of a template area from the first image to the second image, which are separated by a time increment of Δt, is determined by finding the correlation maximum, the division of the displacement vector by Δt gives the velocity vector. This velocity will be approximately equals to the wind velocity when tracking small-scale clouds which are considered passive tracers. The zonal and meridional winds are obtained at regular longitude-latitude grids in the pipeline and will be archived as a level-3 product in the NetCDF format together with the gridded image data. The source code of the cloud tracking program will also be released to the public so that users can perform cloud tracking by themselves with different values of adjustable parameters using the level-3 Venus images.
7. Relationship with Venus Express
The science of Akatsuki is strongly related to that of ESA’s Venus Express, which was inserted into a Venusian orbit in 2006 (Svedhem et al., 2007). Since the mission periods were expected to overlap each other, coordinated observation plans using Akatsuki and Venus Express were developed. Venus Express’ science objectives are to study the atmosphere, the plasma environment, and the surface of Venus. The science payload consists of three spectrometers, an imager, a plasma analyzer, a magnetometer and an USO. The orbit of Venus Express has an apoapsis over the south pole, enabling global imaging of the southern hemisphere and close-up observation of the northern hemisphere and the equatorial region.
Regarding atmospheric observations, the striking difference between Akatsuki and Venus Express is that the former focuses on dynamics with imaging observations from an equatorial orbit, while the latter covers broad topics including chemistry and dynamics with sophisticated spectro-scopic observations from a polar orbit, although two instruments (VMC and VIRTIS) on Venus Express have imaging capability. The two missions are complementary each other not only in the science objectives but also in the spatial and temporal coverage.
The way of surface observation utilizing the near-infrared windows is also different between Akatsuki and Venus Express. IR1 on Akatsuki maps the surface globally and continuously, together with the overlying clouds, at 0.90 μm and 1.01 μm wavelengths. Such observations allow us to discriminate surface features from cloud features rather easily since clouds move and change their shapes with time. Venus Express, having more wavelength bands for surface observation, yields better spectroscopic data on the surface material.
8. Concluding Remarks
The aim of the Japan’s Venus probe Akatsuki is to understand the mechanism of the Venus’ atmospheric dynamics and cloud formation, with secondary targets being the exploration of the ground surface and the zodiacal light observation during the cruise to Venus. The three-dimensional structure of the atmosphere and its dynamics will be studied with the combination of five multi-wavelength cameras and radio occultation. The atmosphere below the cloud top is probed by two near-infrared cameras by utilizing the near-infrared windows. The cloud top is covered by an ultraviolet camera and an infrared camera. Lightning flashes and night airglows are also observed by a dedicated sensor.
With these instruments dedicated to meteorological study, we are planning a systematic observation sequence to detect dynamical processes with various temporal and spatial scales. The elliptical, near-equatorial orbit is suitable for obtaining successive global images to derive cloud-tracked wind vectors. Using such wind data, together with cloud and minor gas maps, the meridional circulation, mid-latitude jets and various wave activities which might ultimately cause the super-rotation will be studied. Close-up and limb observations will also be conducted near the periapsis for a detailed look at small-scale structures. It should be noted that the observation strategies described here cannot be realized with ground-based telescopes, which have severe limitations on continuous sampling, spatial resolution and simultaneous multi-band observations. A dedicated Venus orbiter is essential to the study of Venus meteorology.
The Venus orbit insertion maneuver for Akatsuki on December 7, 2010 has failed. At present the spacecraft is orbiting the Sun, and it will have a chance to encounter Venus 5 or 6 years later. JAXA is examining the possibility of conducting an orbit insertion maneuver again at this opportunity.
We would like to acknowledge all members of the PLANET-C project team for developing the mission plan, the spacecraft and the science instruments. The instruments could not have been developed without the tremendous effort made by NEC TOSHIBA Space Systems, Ltd., Sumitomo Heavy Industries, Ltd., Mitsubishi Electric Co., Ltd., Nikon Co., Ltd., Mei-sei Electric Co., Ltd., and Magoshi Co., Ltd. We are also grateful to the Venus Express project team for a fruitful collaboration and providing valuable advices. The paper has been improved by constructive suggestions made by the reviewers F. Taylor and S. Sasaki.
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