Minimize CALIPSO

CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations)

Overview    Spacecraft    Launch   Mission Status    Sensor Complement   Ground Segment   References

CALIPSO, alias PICASSO-CENA (Pathfinder Instruments for Cloud and Aerosol Spaceborne Observations / Climatologie Etendue des Nuages et des Aerosols), and alias ESSP-3 (Earth System Science Pathfinder-3), is a satellite science mission, a collaborative NASA/CNES project in the ESSP (Earth System Science Pathfinder) program of NASA. Other project partners (algorithm development, etc.) are Hampton University in Hampton, VA, and IPSL (Institut Pierre Simon Laplace), Jussieu, France.

The overall science objective of the mission is to profile the vertical distribution of clouds and aerosols and their role in the heating/cooling of the Earth (improve of estimates for direct and indirect radiative forcing, improve accuracy of long-wave radiative fluxes at the Earth's surface and within the atmosphere, assessment of cloud feed back in the climate system). The study of cloud and aerosols radiative impacts is within the GCRP (Global Climate Research Program) of WMO providing in particular inputs for GEWEX (Global Energy and Water Cycle Experiment) and CLIVAR (CLImate VARiability and predictability). 1) 2) 3) 4) 5) 6) 7) 8)

The mission is managed by NASA/LaRC. CNES supplies the S/C and an IR imaging sensor (of IASI heritage). NASA/LaRC provides the main instrument suite (a Ball-built lidar sensor) and S/C launch services aboard a Taurus launch vehicle. CNES provides S/C operations, the payload operations center is located at LaRC.

Calipso_Auto16

Figure 1: Artist's rendition of the CALIPSO spacecraft (image credit: CNES)

Spacecraft:

The S/C employes an enhanced Proteus bus (of Jason-1 heritage), developed by Thales Alenia Space (prime contractor, formerly Alcatel Alenia Space), and funded by CNES. The platform structure has has dimensions of 2.46 m (height) x 1.51 m x 1.91 m. When deployed the solar arrays extend to 9.72 m. All the equipment units are accommodated on four lateral panels; the hydrazine mono-propellant system with a 40 liter tank and four 1 N thrusters are positioned on and under the lower plate. 9)

The S/C is three-axis stabilized. The normal in-orbit platform attitude control is based on a gyro-stellar concept. Three accurate 2-axis gyroscopes are used for stability requirements and attitude propagation. Attitude acquisition is obtained using magnetic and solar measurements (two 3-axis magnetometers and eight coarse sun sensors). The AOCS can provide yaw steering. Four small reactions wheels generate a torque for attitude control, they are de-saturated using magnetic torquers. The pointing attitude restitution is 0.05º (3 σ) on each axis. Accurate attitude determination is based on two star trackers (nominal and redundant) measurements. Both star trackers are accommodated on the payload in the STA (Star Tracker Assembly), equipped with an autonomous thermal control (the star trackers, SED16, were built at EADS Sodern). Each star tracker has a 25º circular FOV and includes a CCD detector (1024 x 1024) which is regulated to a temperature of -10ºC by a Peltier device. A GPS receiver provides satellite position information for accurate orbit ephemeris determination and onboard time delivery.

Calipso_Auto15

Figure 2: Line drawing of the CALIPSO spacecraft (image credit: NASA)

Calipso_Auto14

Figure 3: Internal layout of the Proteus bus (image credit: Thales Alenia Space)

Calipso_Auto13

Figure 4: Functional block diagram of the Proteus bus (image credit: Alcatel Alenia Space)

Electric power is generated by two symmetric wing arrays attached near to the satellite center of mass with two single axis stepping motor mechanisms. Each wing is constituted of four 1.5 x 0.8 m panels covered with classical silicon cells. The power is distributed through a single non-regulated primary electrical bus (23/37 V with an average 28 V voltage), using a Li-Ion battery (9 series-3 parallel technology) developed by SAFT, France. Up to 16 switchable power lines (5 A max) can be provided to the payload.

The DHU (Data Handling Unit) performs its tasks through the OBC (MA 31750 processor). It supports all onboard functions including the management of the communication links with every satellite unit, including the payload, either via discrete point-to-point lines, or via a MIL-STD-1553-B bus. The S/C mass is 635 kg including 28 kg of hydrazine, power = 560 W (average). The design life is 3 years.

Calipso_Auto12

Figure 5: Illustration of the SED 26 star trackers (image credit: EADS Sodern)

RF communications: An onboard data storage capability of 60 Gbit is provided for the payload data and 2 Gbit for platform housekeeping data. TT&C communications are in S-band with data rates of 727 kbit/s for telemetry (QPSK modulation) and 4kbit/s for telecommands. The payload data are transmitted in X-band at 80 Mbit/s. The CCSDS packet standard protocol is used for telemetry encoding and telecommand decoding.

 

Launch: A launch of CALIPSO took place on April 28, 2006 from VAFB, CA (co-manifested with CloudSat, on a Delta-II 7420-10C vehicle). 10) 11)

Orbit: The CALIPSO spacecraft is part of the formation flight in the so-called "A-Train" (Aqua in the lead and Aura at the tail) or afternoon constellation. Near sun-synchronous orbit, altitude = 705 km, inclination = 98.05º, the ascending node crossing time is around 13:30 hours.

All members of the A-train employ the WRS-2 (World Reference System-2), a global catalog notation system for data which enables a user to inquire about satellite imagery (ground coverage in any repeat cycle) over any portion of the world by specifying a nominal scene center designated by PATH and ROW numbers. However, CALIPSO and CloudSat are not using the WRS-2 reference. CALIPSO is controlled to a customized grid shifted 215 km east from the WRS-2. And CloudSat is flying in close formation with CALIPSO (12.5 ± 2.5 s ahead of it).

Observation strategy: The train consists of the following S/C: Aqua, CloudSat, CALIPSO, PARASOL, and Aura. The objective is to provide a coincident set of data on aerosol and cloud properties, radiative fluxes and atmospheric state essential for accurate quantification of aerosol and cloud radiative effects. The formation flight of CALIPSO with Aqua and CloudSat includes the following constraints:

• CALIPSO shall maintain the formation with Aqua

• CloudSat shall maintain the formation with CALIPSO.

The CALIPSO orbit is maintained so that a target area can be observed within 6 minutes of each other (CALIPSO and Aqua). The relevant Aqua instruments for CALIPSO are: CERES, MODIS, AIRS, and AMSR-E.

Calipso_Auto11

Figure 6: Illustration of formation flight configuration in the A-Train (image credit: NASA/CNES)

 


 

Mission status:

• December 20, 2016: A new study, using the NASA satellite instrument CALIOP orbiting Earth on the CALIPSO mission, has found that small, environmental changes in polar food webs significantly influence the boom-and-bust, or peak and decline, cycles of phytoplankton. These findings will supply important data for ecosystem management, commercial fisheries and our understanding of the interactions between Earth's climate and key ocean ecosystems. 12)

- "It's really important for us to understand what controls these boom-and-bust cycles, and how they might change in the future so we can better evaluate the implications on all other parts of the food web," said Michael Behrenfeld, a marine plankton expert at Oregon State University in Corvallis.

- Phytoplankton also influence Earth's carbon cycle. Through photosynthesis, they absorb a great deal of the carbon dioxide dissolved in the upper ocean and produce oxygen, which is vital for life on Earth. This reduces the amount of carbon dioxide in the atmosphere.

- Behrenfeld, along with scientists from NASA's Langley Research Center in Hampton, Virginia, and several other institutions collaborated on the study. The findings were published on Dec. 19 in Nature Geoscience. 13)

- Coastal economies and wildlife depend on what happens to tiny green plants, or phytoplankton, at the base of the ocean food chain. Commercial fisheries, marine mammals and birds all depend on phytoplankton blooms. The new study shows that accelerations in growth rate cause blooms by allowing phytoplankton to outgrow the animals that prey on them. When this happens, the phytoplankton populations rapidly increase.

- However, as soon as that acceleration in growth stops, the predatory animals catch up by eating the ocean plants and the bloom ends. This new understanding goes against traditional theories that blooms only occur when phytoplankton growth rates exceed a specific threshold of fast growth and that they end when these growth rates fall below that threshold again.

- Behrenfeld compares the new idea to two rubber balls connected by a rubber band. "A green ball represents the phytoplankton. A red one represents all the things that eat or kill the phytoplankton," he said. "Take the green ball and whack it with a paddle. As long as that green ball accelerates, the rubber band will stretch and the red ball won't catch the green ball. As soon as the green ball stops accelerating, the tension in the rubber band will pull that red ball up to it and the red ball will catch the green ball."

- NASA's CALIOP (Cloud-Aerosol LIdar with Orthogonal Polarization), an instrument aboard the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) satellite launched in 2006, uses a laser to take measurements. Scientists used the instrument to continuously monitor plankton in polar regions from 2006 to 2015.

- "CALIOP was a game-changer in our thinking about ocean remote sensing from space," said Chris Hostetler, a research scientist at Langley. "We were able to study the workings of the high-latitude ocean ecosystem during times of year when we were previously completely blind."

- Ocean ecosystems typically are monitored with satellite sensors that simply measure sunlight reflected back to space from the ocean. These instruments have a problem seeing the ocean plankton in polar regions because of limited sunlight and persistent clouds that obscure their view of the ocean surface. The lidar shines its own light – a laser – and can illuminate and measure the plankton day or night, in between clouds, and even through some clouds.

- The study also reveals that year-to-year variations in this constant push and pull between predator and prey have been the primary driver of change in Arctic plankton stocks over the past decade. In the Southern Ocean around Antarctica, though, changes in the ice cover were more important to phytoplankton population fluctuations than were differences in growth rates and predation. "The take home message is that if we want to understand the biological food web and production of the polar systems as a whole, we have to focus both on changes in ice cover and changes in the ecosystems that regulate this delicate balance between predators and prey," said Behrenfeld.

- The current CALIOP lidar was engineered to take atmospheric measurements, not optimized for ocean measurements. Nonetheless, the CALIOP ocean measurements are scientifically valuable, as demonstrated by the results of this study.

- New lidar technology is being tested that would allow scientists to better measure how phytoplankton are distributed through the sunlit layer of the ocean. This new capability will improve knowledge of phytoplankton concentrations and photosynthesis and will reveal more about the causes of phytoplankton blooms. This knowledge is critical for understanding cycling of ocean carbon, and for determining and managing the health of global ocean ecosystems.

• On April 28, 2016, the CALIPSO spacecraft was 10 years on orbit. Leaders from the cooperative mission of NASA and CNES (Centre National d'Etudes Spatiales), the space agency of France, gathered on April 21, at NASA/LaRC (Langley Research Center) in Hampton, Virginia, to celebrate this remarkable and durable record of success. 14)

- Since its launch in 2006, CALIPSO has orbited the Earth tirelessly, using its lasers to take more than 5.7 billion lidar (light detection and ranging) measurements probing the vertical structure and properties of clouds and other particles — such as dust, sea salt, ash and soot — in the air. For atmospheric scientists, the ability to regularly and accurately examine clouds and particles at different heights was something new. Gathering that data over such a long time period has contributed to a scientific bonanza.

- Also, scientists are able to combine CALIPSO's measurements with those of other Earth-observing satellites circling the globe in a cooperative path called the A-Train constellation. CALIPSO and CloudSat, a satellite containing a cloud-profiling radar, launched together on a Delta II rocket, now fly in formation with satellites named Aqua, Aura, GCOM-W (Global Change Observation Mission-Water) and OCO-2 (Orbiting Carbon Observatory-2). Combining measurements from these A-Train satellites offers a clearer view of what's happening in the atmosphere.

- "CALIPSO, in complement with the other instruments flying in the A-Train, has provided observations in areas that had never been observed before," said Pierre Tabary, program manager for atmosphere, meteorology and climate for CNES, the French space agency. He said scientists have gained knowledge about clouds, and their impact on incoming solar radiation, as well as on infrared radiation coming from the Earth's surface, known as the greenhouse effect. "There were no other instruments providing such observations before," Tabary said. "All those data have been used to improve our understanding of how climate works."

- The winning streak that began with the CALIPSO satellite's launch on April 28, 2006, shows no sign of ending. After 10 years, CALIPSO continues to overachieve in its mission to gather unique data about our home planet's clouds and other tiny particles suspended in the atmosphere. Originally designed as a three-year mission, it is now past its 10th anniversary without missing a step.

• May 2015: After 9 years of exploitation, the satellite and payload performances are still excellent and the CALIPSO mission is considered as a real success. Thanks to their high precision vertical resolution, CALIPSO observations are a recognized and unique contribution to the study of clouds and aerosols, and in the validation of climate models. The latest GIEC (Groupe d'experts intergouvernemental sur l'évolution du climat) repport highlights it. A new extension by 2 years of the CALIPSO mission in the A-TRAIN is confirmed for 2016-2017, it will enable: 15)

- Long term observation needed to understand the role of clouds and aerosols on the Earth's climate

- CALIPSO/OCO-2 coupled observations to study the influence of the aerosols on the CO2 restitution

- An overlap or continuity with the CATS, ADM-Aeolus, EarthCARE and SAGE-III missions

- And to estimate the contribution of the Lidar measurements to the ocean color thematic, by a measurement campaign using the 30 º depointing capability in order to observe the phytoplankton while minimizing the specular reflections.

• March-April 2015: The CALIPSO satellite has quantified in three dimensions how much dust makes this trans-Atlantic journey. Scientists have not only measured the volume of dust, they have also calculated how much phosphorus—remnant in Saharan sands from part of the desert's past as a lake bed—gets carried across the ocean from one of the planet's most desolate places to one of its most fertile. 16)

- The productivity of the Amazon rainforest is constrained by the availability of nutrients, in particular phosphorus (P). Deposition of long-range transported African dust is recognized as a potentially important but poorly quantified source of phosphorus. This study provides a first multiyear satellite-based estimate of dust deposition into the Amazon Basin using three-dimensional (3-D) aerosol measurements over 2007–2013 from the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) instrument. The dust depositio17)n shows significant interannual variation that is negatively correlated with the prior-year rainfall in the Sahel. 18)

Calipso_Auto10

Figure 7: An example of a cross-section, or "curtain," of data from the CALIOP instrument aboard the CALIPSO satellite, which sends out pulses of light that bounce off particles in the atmosphere and back to the satellite. CALIOP can distinguish dust from other particles based on optical properties (image credit: NASA's Scientific Visualization Studio)

- In Feb. 2015, NASA produced an animation showing that wind and weather pick up on average 182 million tons of dust each year and carry it past the western edge of the Sahara (at 15° W longitude). This volume is the equivalent of 689,290 semi trucks filled with dust. The dust then travels 2500 km across the Atlantic Ocean, though some drops to the surface or is flushed from the sky by rain. Near the eastern coast of South America, at 35° W longitude, 132 million tons remain in the air, and 27.7 million tons (enough to fill 104,908 semi trucks) fall to the surface over the Amazon basin. About 43 million tons of dust travel farther to settle out over the Caribbean Sea - past 75° W longitude (Ref. 16).

- An average of 27.7 million tons of dust per year – enough to fill 104,908 semi trucks – fall to the surface over the Amazon basin. The phosphorus portion, an estimated 22,000 tons per year, is about the same amount as that lost from rain and flooding. The finding is part of a bigger research effort to understand the role of dust and aerosols in the environment and on local and global climate. 19)

- This transcontinental journey of dust is important because of what is in the dust. Specifically the dust picked up from the Bodélé Depression in Chad, an ancient lakebed where rock minerals composed of dead microorganisms are loaded with phosphorus. Phosphorus is an essential nutrient for plant proteins and growth, which the Amazon rain forest depends on in order to flourish.

• Nov. 27, 2014: CALIPSO just passed the 5 billion of laser shootings: 1.62 billion for the primary laser and 3.38 for the secondary laser (nominally used since 2009), thus a total of 100 seconds of light emission for 8 years and 7 months of data in orbit! 20)

• The CALIPSO mission exploitation has been extended until the end of 2015. Beginning in 2015, another 2 years extension will be studied by the 2 agencies (Ref. 22).
After the Senior Review processes for NASA and the REDEM (Comité Directeur de la Revue d'Extension Mission) for CNES, the 2 agencies declared that they were again favorable to an additional 2 years extension of the mission (2014-2015), thus CNES and NASA pursue their productive cooperation in the exploitation of CALIPSO mission. 21)

• The CALIPSO spacecraft and its payload are operating nominally in 2012. 22)
NASA and CNES extend CALIPSO mission exploitation until the end of 2013. Beginning 2013, another 2 years extension will be studied by the 2 agencies. - Already in June 2011, the NASA Earth Science Senior Review recommended an extension of the Calipso mission up to 2015. 23)

• The CALIPSO spacecraft and its payload are operating nominally in 2011.

The CALIPSO mission has provided the first multi-year global dataset of lidar aerosol and cloud profiles. CALIOP active profiling in conjunction with A-Train and CALIPSO passive observations are opening new fields of investigation into the role of aerosols and clouds in the climate system, from direct comparison with model outputs and ongoing developments in data assimilation. 24)

• In late April 2010, the CALIPSO spacecraft completed its 4th year in orbit. Since the laser switch in March 2009, the mission continues nominally and the laser performances are excellent. 25)

• The spacecraft and its payload are operating nominally in 2010. NASA requested a mission extension in the A-Train to the end of 2011. In 2009 the Senior Review Panel recommended to NASA that an extended mission status will lead to more fundamental science results. In addition, the synergy between CALIPSO and other A-train components is vital and the measurements are crucial as a bridge to the next satellite lidar mission: the ADM (Atmospheric Dynamics Mission), the European Space Agency lidar scheduled for launch in 2011, as well as EarthCARE (2013) and ACE (2015). 26) 27) 28)

In April 2009, CALIPSO resumed operations after switching from its primary to its backup laser in March 2009. The backup laser was designed into CALIPSO to make it robust, in case the primary laser became unreliable. The value of the planning came to the forefront early in 2009 as the primary laser began to behave erratically, due to a slow pressure leak in the laser's canister. The backup laser provided its first observation data on March 12, 2009. The instrument then resumed normal operations and is undergoing a calibration review now. The release of standard data products should resume in late April 2009. 29) 30) 31)

• In Dec. 2006, the CALIPSO mission started the distribution of its data products. This data release consists of data beginning in mid June 2006 and includes Level 1 radiances from each of the instruments. This release also includes the lidar Level 2 vertical feature mask and cloud and aerosol layer products. The CALIPSO data are available through the Atmospheric Science Data Center (ASDC) at NASA/LaRC.

• Since mid-June 2006, CALIPSO has joined the A-train and the satellite is in routine operations. CALIPSO is controlled to ± 10 km at equator crossing.

• After launch, the spacecraft underwent a commissioning phase of 38 days. Based on telemetry data, the pointing performance of the spacecraft is < 0.02º about each axis. 32)

 


 

Sensor complement: (CALIOP, IIR, WFC)

The payload consists of three co-aligned nadir viewing instruments: CALIOP (Cloud-Aerosol LIdar with Orthogonal Polarization), IIR (Imaging Infrared Radiometer), and WFC (Wide-Field Camera).

Calipso_AutoF

Figure 8: Overview of the CALIPSO payload (image credit: NASA)

Calipso_AutoE

Figure 9: Payload elements and configuration (image credit: BATC)

Calipso_AutoD

Figure 10: The CALIPSO payload consists of the CALIOP lidar and two passive sensors (image credit: NASA/LaRC, BATC)

• CALIOP has a two-wavelength laser transmitter and a three-channel receiver

• The IIR is a three-channel infrared radiometer

• The WFC is a visible imager with a single channel.

The two passive sensors image a 60 km swath centered on the lidar footprint. 33)

 

CALIOP (Cloud-Aerosol LIdar with Orthogonal Polarization):

CALIOP is provided by NASA/LaRC (built by Ball Aerospace and Technologies Corporation). The objective is to acquire vertical profiles of elastic backscatter (distributions of aerosols and clouds, cloud particle phase) at dual-wavelength frequencies from a nadir-viewing geometry during the day and night phases of the orbit.

CALIOP consists of a laser transmitter subsystem, a receiver subsystem, and the payload controller (PLC) subsystem. The laser transmitter subsystem consists of two redundant lasers, each with a beam expander, and a beam steering system ensuring alignment between the transmitter and receiver. The Q-switched Nd:YAG lasers use a crossed porro prism resonator design to minimize alignment sensitivity and polarization outcoupling to provide a highly polarized output beam. Frequency doubling produces simultaneous pulses at 1064 nm and at 532 nm. Each laser produces 110 mJ of energy at each of the two wavelengths at a pulse repetition rate of 20.16 Hz, although only one laser is operated at a time. Beam expanders reduce the angular divergence of the laser beam to produce a footprint of 70 m diameter on the Earth's surface.

Calipso_AutoC

Figure 11: Photo of the CALIOP instrument (image credit: BATC, NASA)

Calipso_AutoB

Figure 12: CALIOP transmitter and receiver subsystems (image credit: NASA/LaRC)

Two orthogonal polarization components (parallel and perpendicular to the polarization plane of the transmitted beam) are measured at 532 nm. Vertical profiles are measured from the surface to 40 km with the 532 nm channel, with the upper region used for normalization/calibration. The other two channels span 0 to +26 km, covering the cloud and aerosol measurement region with polar stratospheric clouds occurring toward the top of the range. The maximum vertical resolution is 30 m, the footprint diameter on the ground is 70 m. The horizontal spacing between footprint centers is 333 m (along-track). Low altitude data are being downlinked at full resolution. At altitudes above 5 km, resolutions are reduced by on-board averaging. 34) 35) 36) 37) 38) 39)

Lidar type

Nd:YAG, diode-pumped, Q-switched, frequency-doubled

Wavelength (2)

532 nm and 1064 nm

Energy/pulse

105 - 115 mJ

PRF (Pulse Repetition Frequency)

20.16 Hz

Pulse width

20 ns nominal

 

 

Telescope aperture diameter

1.0 m

FOV (Field of View)

130 µrad

Digitization rate

10 MHz

Detector type (532 nm channel)

PMT (Photomultiplier Tube)

Detector type (1064 nm channel)

APD (Avalanche Photodiode)

Horizontal/vertical resolution

333 m/30 m

Data rate

332 kbit/s

Instrument mass, power

156 kg (CALIOP only), 124 W

Table 1: Parameters of the CALIOP instrument

Calipso_AutoA

Figure 13: Simplified block diagram of the CALIOP instrument (image credit: NASA/LaRC)

Calibration: CALIOP is calibrated in three steps.

• First, the 532 nm parallel channel signal is calibrated to the predicted molecular volume backscatter coefficient in the 30-34 km region. The molecular backscatter coefficient can be accurately estimated using temperature and pressure profiles from a gridded meteorological analysis product. The 30-34 km region was chosen as the aerosol backscatter in that region is insignificant with respect to molecular backscatter and the molecular density does not exhibit large variations. The parallel-polarized component of the molecular backscatter is derived from the estimate of total molecular backscatter by taking into account the bandwidth of the receiver optical filters. Independent estimates of the 532 nm parallel channel calibration constant are computed at approximately 700 km intervals over the dark side of each orbit and interpolated to the day side.

• Second, the calibration of the 532-nm parallel channel is transferred to the perpendicular channel via insertion of a pseudo-depolarizer in the receiver optical path upstream from the polarization beamsplitter (Figure 13). The pseudo depolarizer ensures that, regardless of the polarization state of the backscatter incident on the receiver, an equal amount of light is sent to the parallel and perpendicular channels of the receiver downstream of the depolarizer. The pseudo depolarizer will be inserted periodically during the mission, to track any relative change in sensitivity of the parallel and perpendicular channel detectors.

• Third, the calibration of the 532 nm channels is transferred to the 1064 nm channel via comparison of the return signals from high-altitude cirrus clouds. Cirrus cloud particles are large compared to the transmitted wavelengths, so the backscatter coefficients will be nearly equal at 532 nm and 1064 nm. By choosing clouds for which the ratio of particulate to molecular scattering is 50 and above, the calibration can be transferred with high accuracy. This calibration can be performed on both the dark and daylight side of the orbit, wherever cirrus of sufficient backscatter strength exist.

Calipso_Auto9

Figure 14: View of the instrument locations on CALIPSO (image credit: NASA)

 

IIR (Imaging Infrared Radiometer):

IIR is provided by CNES and developed at EADS Sodern, France. The objective is to measure calibrated radiances at 10.5 and at 12 µm over a 40 km swath (the two wavelengths are chosen to optimize the joint Lidar/IIR retrievals of cirrus emissivity and particle size).

IIR is a nadir-viewing, non-scanning imager having a 64 km x 64 km swath with a pixel size of 1 km. The CALIOP beam is nominally aligned with the center of an IIR image. IIR uses a single microbolometer detector array (uncooled), with a rotating filter wheel providing measurements at three channels in the window region, on either side of the O3 absorption band at 9.6 µm. The central wavelengths (and spectral widths) of the three channels are 8.65 µm (0.9 µm), 10.6 µm (0.6 µm), and 12.05 µm (1.0 µm). These wavelengths were selected to optimize joint CALIOP/IIR retrievals of cirrus cloud emissivity and particle size. 40) 41) 42) 43)

Calipso_Auto8

Figure 15: Illustration of the IIR instrument (image credit: EADS Sodern)

Calipso_Auto7

Figure 16: Photo of the assembled IIR instrument (image credit: EADS Sodern)

The IIR device is composed of:

• The ISM (Imaging Sensor Module), constituted of an objective (aperture 0.75) optimized in the thermal infrared, a microbolometer detector array, specific electronics, a passive cooler to refrigerate the whole, and some mechanical pieces

• A filter-carrying wheel enabling to insert alternately 3 spectral filter in front of the camera

• A black body to calibrate the camera

• A pointing mirror rotating to sequentially select between the Earthview, the black body and the direction of the cold space (second source for calibration).

Calipso_Auto6

Figure 17: Schematic view of the ISM (image credit: CNES)

On-orbit calibration: The calibration procedure requires viewing scenes at two different known temperatures. A cold scene calibration (4 K) is achieved by observing deep space every 8 seconds, while a hot scene calibration (300 K) is performed every 40 seconds using an internal blackbody source.

Spectral bands (3)

8.7 µm, bandwidth: 0.9 µm
10.5 µm, bandwidth: 0.6 µm
12.05 µm, bandwidth: 1.0 µm

Spatial resolution (IFOV)

1 km x 1 km (64 x 64 pixels)

FOV or swath width

64 km x 64 km (90 mrad x 90 mrad)

Microbolometer detector array

Boeing U3000 detector

Radiometric performance

NEΔT < 0.5 K @ 210 K; Absolute calibration accuracy < 1 K

Data rate

50 kbit/s

Instrument mass, volume

24 kg, 490 mm x 550 mm x 320 mm

Power consumption

27 W

Table 2: IIR specifications

Note: The IIR instrument is also referred to as CIM-02 (Caméra Infra-rouge Multimission) on the CALIPSO mission. CIM-02 is of CIM-01 heritage flown on the MetOp-01 mission of EUMETSAT (CIM-01 is also referred to as the "IASI Infrared Imager"). CIM02 differs from CIM01 through its optical interface, the objective and the radiator have been re-designed.

Calipso_Auto5

Figure 18: Schematic of the IIR instrument (image credit: CNES)

Calipso_Auto4

Figure 19: Electronic architecture of the IIR instrument (image credit: CNES)

 

WFC (Wide-Field Camera):

WFC was built by Ball Aerospace (a modified version of a commercial star camera, CT-633, a pushbroom type device with a CCD detector array of 512 x 512 pixels). The objective is to provide meteorological context and highly accurate spatial registration between the CALIPSO and the Aqua mission. 44) 45)

WFC is a digital CCD camera with a spectral coverage of 620-670 nm (single band) providing images of a 61 km swath with a spatial resolution of 1 km. In a 5 km central band, the spatial resolution is 125 m. Although the WFC comes with a 512 x 512 CCD array, it essentially operates in the pushbroom line array fashion by reading out only one row of pixels per image frame. Nominally, 488 of the 512 pixels in the target row are being utilized. To minimize smearing effects during readout operations, most of the CCD array is masked off except about 30 rows near the center.

The source data rate is 26 kbit/s. The WFC imagery is also being used to assess the cloud fraction within 1 km IIR pixels to enhance the retrieval of cloud properties from the IIR data.

Parameter

Specification

Comment

Bandpass

620-670 nm

Compatible with MODIS channel 1

Single pixel IFOV

125 m x 125 m

24 µm pixels; 135 mm focal length

Full swath FOV

61 km

488 pixels in cross-track

Dynamic range

16 bit

Standard on CT-633

SNR at Lmax, (730 Wm-2 µm-1 sr-1)

435

f/8 lens and full-well, capacity of 150 ke-

SNR at Ltyp, (12 Wm-2 µm-1 sr-1)

51

as above

Data rate

26 kbit/s

 

Table 3: Performance specifications of WFC

Calipso_Auto3

Figure 20: Schematic of the WFC instrument (image credit: CNES)

Calipso_Auto2

Figure 21: Illustration of the WFC imager (image credit: BATC)

Calipso_Auto1

Figure 22: View of WFC swath in relation to laser footprint (image credit: NASA/LaRC)

 


 

Ground segment:

The CALIPSO ground segment is comprised of two main components:

1) SOGC (Satellite Operations Ground System), consisting of:

• SOCC (Satellite Operations Control Center), located in Toulouse (France)

• TT&C S-band ground stations at Kiruna (Sweden) and Aussaguel (France)

• A digital communication network that provides communication between ground segment components.

2) MOGS (Mission Operations Ground System), dedicated to mission management, detailed payload data processing, payload programming and monitoring and preparation of commands. It consists of:

• The payload data delivery system, including the X-band ground stations located in Alaska (prime), and Hawaii (backup)

• MOCC (Mission Operations Control Center), in Hampton, VA (NASA/LaRC).

Calipso_Auto0

Figure 23: Overview of the CALIPSO ground segment (image credit: CNES)

Data and quick-looks of the CALIPSO mission are archived at the NASA/LaRC Atmospheric Sciences Data Center (ASDC). A mirror data site, part of the French ICARE structure, is located in Lille and operated by CNES, CNRS, the University of Lille, and the Région Nord-Pas-de-Calais. 46)

The thematic pole ICARE is managing the production and distribution of the scientific outputs of PARASOL and CALIPSO through its data processing and management center in Lille (CGTD). In the case of CALIPSO, it acts as a mirror site of NASA. In late 2009, the CGTD ICARE was managing the distribution of four TB of data per month, for the benefit of 380 registered users.

 


1) D. M. Winker, B. A Wielicki, "The PICASSO-CENA Mission," Part of the EUROPTO Conference on Sensors, Systems and Next Generation Satellites, Proceedings of SPIE, Vol. 3870, Florence, Italy, Sept. 20-24, 1999, pp. 26-36

2) J. Blouvac, B. Lazaed, J. M. Martinuzzi, "CNES Small Satellites Earth Observation Scientific Future Missions, IAA 2nd International Symposium on Small Satellites for Earth Observation, Berlin, April 12-16, 1999, pp. 11-14

3) J. Reagan, D. Winker, "PICASSO-CENA: Combined Active-Passive Sensing from Space," Proceedings of IGARSS'99, Vol. 1, pp. 240-242

4) D. M. Winker, "Global Observations of Aerosols and Clouds from combined Lidar and passive Instruments to improve Radiation Budget and Climate Studies," The Earth Observer, Vol. 11, No 3, May/June 1999, pp. 22-25

5) D. Q. Robinson, "PICASSO-CENA Satellite-Based Research Mission: K-12 Education and Public Outreach (Student use of remote sensing for research validation)," Proceedings of the IEEE/IGARSS 2000 Conference, Honolulu, HI, July 24-28, 2000

6) http://smsc.cnes.fr/CALIPSO/Fr/

7) http://www.nasa.gov/mission_
pages/calipso/main/index.html

8) http://smsc.cnes.fr/CALIPSO/d
ossier_de_presse_va.pdf

9) F. Paoli, J. Blouvac, "CALIPSO: A Small Satellite in Low Earth Orbit for the Study of the Clouds and Aerosols," Proceedings of the IAC 2005, Fukuoda, Japan, Oct. 17-21, 2005, IAC-05-B5.2.02

10) NASA CloudSat-CALIPSO Press Kit, April 2006, URL: http://www.nasa.gov/pdf/14774
1main_cloudsat-calipso4.pdf

11) Corinne Salcedo, Laurie M. Mann, "CALIPSO and CloudSat Coordinated Ascent Phase to the EOS Afternoon Constellation," SpaceOps 2006 Conference, Rome, Italy, June 19-23, 2006, paper: AIAA 2006-5759 URL: http://www.ai-solutions.com/Portals/0/AI%20Docs/
Technical%20Paper%20Library%20pdf/2006/10.pdf

12) Dwayne Brown, Joe Atkinson, "Space Laser Reveals Boom-and-Bust Cycle of Polar Ocean Plants," NASA, Release 16-121, Dec. 20, 2016, URL: https://www.nasa.gov/press-release/space-laser-r
eveals-boom-and-bust-cycle-of-polar-ocean-plants

13) Michael J. Behrenfeld, Yongxiang Hu, Robert T. O'Malley, Emmanuel S. Boss, Chris A. Hostetler, David A. Siegel, Jorge L. Sarmiento, Jennifer Schulien, Johnathan W. Hair, Xiaomei Lu, Sharon Rodier, Amy Jo Scarino, "Annual boom–bust cycles of polar phytoplankton biomass revealed by space-based lidar," Nature Geoscience,Published online Dec. 19, 2016, doi:10.1038/ngeo2861, URL of abstract: http://www.nature.com/ngeo/journa
l/vaop/ncurrent/full/ngeo2861.html

14) Sam McDonald, "CALIPSO Celebrates 10 Years of Cloud Observations from Space," NASA, April 22, 2016, URL: http://www.nasa.gov/feature/langley/calipso-c
elebrates-10-years-of-cloud-observations-from-space

15) 8th CALIPSO Exploitation Review, 3rdMission Extension Review (REDEM) at CNES Toulouse," CNES, May 2015, URL: https://calipso.cnes.fr/en
/CALIPSO/GP_actualite.htm

16) Ellen Gray, "NASA Satellite Reveals How Much Saharan Dust Feeds Amazon's Plants," NASA, The Earth Observer, Volume 27, Issue 2, March-April 2015, pp: 46-47, URL: http://eospso.gsfc.nasa.gov/sites/default/files/eo_pdfs/Mar_Apr_2015_color_508.pdf

17) Tony Phillips, "Desert Dust Feeds Amazon Forests," NASA Science News, April 29, 2015, URL: http://science.nasa.gov/science-ne
ws/science-at-nasa/2015/29apr_amazondust/

18) Hongbin Yu, Mian Chin, Tianle Yuan, Huisheng Bian, Lorraine A. Remer, Joseph M. Prospero, Ali Omar, David Winker, Yuekui Yang, Yan Zhang, Zhibo Zhang, Chun Zhao, "The Fertilizing Role of African Dust in the Amazon Rainforest: A First Multiyear Assessment Based on CALIPSO Lidar Observations," Geophysical Research Letters, Vol. 42, pp:1984–1991, March 18, 2015, doi: 10.1002/2015GL063040

19) Joy Ng, Kayvon Sharghi, Kel Elkins, Greg Shirah, Horace Mitchell, Brian Monoe, Hongbin Yu, Ellen T. Gray, "Satellite Tracks Saharan Dust To Amazon In 3-D," NASA, Goddard Media Studios, Feb. 24, 2015, URL: http://svs.gsfc.nasa.gov/cgi-b
in/details.cgi?aid=11775

20) "CALIPSO Latest News," CNES, Nov. 27, 2014, URL: http://smsc.cnes.fr/CALIPSO/GP_actualite.htm

21) "8th Joint Steering Group meeting / confirmation of a new 2 years extension of CALIPSO mission," CNES, Nov. 19, 2013, URL: http://smsc.cnes.fr/CALIPS
O/GP_actualite.htm

22) http://smsc.cnes.fr/CALIPSO/index.htm

23) George Hurtt (Chair), Ana Barros, Richard Bevilacqua, Mark Bourassa, Jennifer Comstock, Peter Cornillon, Andrew Dessler, Gary Egbert, Hans-Peter Marshall, Richard Miller, Liz Ritchie, Phil Townsend, Susan Ustin,"NASA Earth Science Senior Review 2011," June 30, 2011, URL: http://science.nasa.gov/media/medialibrary/2011
/07/22/2011-NASA-ESSR-v3-CY-CleanCopy_3x.pdf

24) D. M. Winker, J. Pelon, "The CALIPSO mission," COSPAR 2010, 38th COSPAR Scientific Assembly, Bremen, Germany, July18-25, 2010, URL: http://www.cnes.fr/automne_modul
es_files/standard/public/p8628_67f2ab5f07f7bb
51f0fb15f9ad97615319_Atmosphere.pdf

25) http://smsc.cnes.fr/CALIPSO/GP_actualite.htm

26) Steven A. Ackerman (chair), Richard Bevilacqua, Bill Brune, Bill Gail, Dennis Hartmann, George Hurtt, Linwood Jones, Barry Gross, John Kimball, Liz Ritchie, CK Shum, Beata Csatho, William Rose, Carlos Del Castillo, Cheryl Yuhas, "NASA Earth Science Senior Review 2009," URL: http://nasascience.nasa.gov/about
-us/science-strategy/senior-reviews/2009Se
niorReviewSciencePanelReportFINAL.pdf

27) Debra Werner, "NASA Budget fpr Earth Science Lags Behind Rising Expectations," Space News, January 4, 2010, p. 1 & 4

28) Christophe Maréchal, Nadège Quéruel, David G. Macdonnell, Carolus A. Verhappen, Patricia L. Lucker, " Flying in a spacecraft constellation: a coordination puzzle," Proceedings of the SpaceOps 2010 Conference, Huntsville, ALA, USA, April 25-30, 2010, paper: AIAA 2010-2254

29) "CALIPSO Makes Successful Switch to Backup Laser, Keeping Important Data Stream Alive," NASA, April 16, 2009, URL: http://www.nasa.gov/topics/earth/
features/calipso-laserswitch.html

30) http://www-calipso.larc.nasa.gov/

31) http://smsc.cnes.fr/CALIPSO/GP_actualite.htm

32) J. Blouvac, F. Paoli, P. Landiech, P. Castillan, "CALIPSO Small Satellite Flight Commissioning," Proceedings of the 57th IAC/IAF/IAA (International Astronautical Congress), Valencia, Spain, Oct. 2-6, 2006, IAC-06-B5.4.09

33) D. M. Winker, J. Pelon, J. A. Coakley Jr., S. A. Ackerma n, R. J. Charlson, P. R. Colarco, P. Flama nt, Q. Fu, R. M. Hoff , C. Kittaka, T. L. Kubar, H. Le Treut, M. P. Mcc ormi ck, G. Mégie, L. Poole, K. Powell, C. Trepte, M. A. Vaughan, B. A. Wielicki, "The CALIPSO Missio n - A Global 3D View of Aerosols and Clouds," BAMS (Bulletin of the American Meteorological Society), Vol. 91, Issue 9, Sept. 2010, pp. 1211-1229, URL: http://journals.ametsoc.org/do
i/pdf/10.1175/2010BAMS3009.1

34) David Winker, William Hunt, Carl Weimer, "The On-Orbit Performance of the CALIOP Lidar on CALIPSO," Proceedings of the 7th ICSO (International Conference on Space Optics) 2008, Toulouse, France, Oct. 14-17, 2008, URL: http://www.icsoconference2008.com/cd
/pdf/S15%20-%20Lidars%20-%20Hunt.pdf

35) D. Winker, C. Hostetler, W. Hunt, " CALIOP: The CALIPSO Lidar," Proceedings of 22nd ILRC (International Laser Radar Conference), Matera, Italy, July 12-16, 2004, ESA SP-561, Vol. II, pp. 941-944

36) L. R. Poole, D. M. Winker, J. R. Pelon, M. P. McCormick, "CALIPSO: Global aerosol and cloud observations from lidar and passive instruments," Proceedings of SPIE, Vol. 4881, 9th International Symposium on Remote Sensing, Aghia Pelagia, Crete, Greece, Sept. 23-27, 2002

37) http://www-calipso.larc.nasa.
gov/about/payload.php#CALIOP

38) D. M. Winker, W. Hunt, C. Hostetler, "Status and performance of the CALIOP lidar," Proceedings of SPIE, Vol. 5575, 2004, pp. 8-15, URL: http://www-calipso.larc.nasa.gov
/resources/pdfs/SPIE_5575-3.pdf

39) D. Winker, "CALIPSO," Nov. 15, 2004, TWP-ICE Planning Meeting, Darwin, Australia, URL: http://www.bom.gov.au/bmrc/wefor
/research/twpice/Darwin_Nov_2004_meeting/S1/S1
_WinkerTWPICE_CALIPSO.pdf

40) http://smsc.cnes.fr/CALIPSO/GP_iir.htm

41) G. Corlay, M.-C. Arnolfo, T. Bret-Dibat, A. Lifferman, J. Pelon, "The infrared Imaging Radiometer for Picasso-Cena," http://smsc.cnes.fr/CALIPSO/
IIR_ICSO00_S2-06.pdf

42) http://www.sodern.com/sites/
en/ref/CALIPSO_160.html

43) IIR brochure of EADS Sodern, URL: http://www.sodern.com/sites/docs_wsw
/RUB_160/FICHE_IIR.pdf

44) C. Weimar, R. Schwiesow, M. LaPole, "CALIPSO: lidar and wide-field camera performance," Proceedings of SPIE, `Earth Observing Systems IX,' Edited by W. L. Barnes, J. J. Butler, Vol. 5542, 2004, pp. 74-85

45) M. C. Pitts, Y. Hu, J. C. Currey, D. Winker, J. D. Lambeth, "CALIPSO Algorithm Theoretical Basis Document Wide Field Camera (WFC) Level 1 Algorithms," Oct. 25, 2005, URL: http://www-calipso.larc.nasa.gov/resources
/pdfs/WFC_Level1_baseline_v1.0.pdf

46) "CALIPSO Data User's Guide," Oct. 4, 2010, NASA/LaRC, URL: http://www-calipso.larc.nasa.gov/
resources/calipso_users_guide/

 


The information compiled and edited in this article was provided by Herbert J. Kramer from his documentation of: "Observation of the Earth and Its Environment: Survey of Missions and Sensors" (Springer Verlag) as well as many other sources after the publication of the 4th edition in 2002. - Comments and corrections to this article are always welcome for further updates (herb.kramer@gmx.net).

Overview    Spacecraft    Launch   Mission Status    Sensor Complement    Ground Segment   References
Back to top

Minimize Related Missions

The 'A-train':