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The CloudSat Mission. CEE: 6900 -Environmental Application of Remote Sensing Abel Tadesse Woldemichael. Overview Clouds: are not just white things that break up the monotony of the sky, Actually are the fundamental stages of cycle of water in the atmosphere,
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The CloudSat Mission CEE: 6900-Environmental Application of Remote Sensing Abel Tadesse Woldemichael
Overview • Clouds: • are not just white things that break up the monotony of the sky, • Actually are the fundamental stages of cycle of water in the atmosphere, • also play a crucial role in influencing our environment, • Even a small change in their abundance or distribution can alter the climate more than the anticipated changes in greenhouse gases, • How much do we know about clouds? • Not Much! • Our current global perspective about clouds is derived from spectral radiances measured by sensors on satellites,
These satellites have produced comprehensive pictures of global cloud cover, • They also depict how clouds either reflect or hold in radiant heat energy from the sun, • But so far we do not understand how that energy is distributed throughout the atmosphere, • what we need is a tool like RADAR that can actually see into clouds, • Hence, the birth of the CloudSat mission This heat energy is what drives the planet’s climate and weather The NASA CloudSat mission uses radar in a unique way to discover more about the interior of clouds and hence resolving much of the unknowns about clouds.
Mission Objectives: • Why CloudSat? • It has a number of important goals in its mission, including: • improving weather prediction, • help mitigate natural hazards, • aid water resource management, • clarify climatic processes, and • develop critical spaceborne technologies. • Furthermore, • It is designed to clarify the relationship between clouds and climate, • It contributes to the better understanding of cloud-climate feedback problem, • Also furnish data needed to evaluate and improve the way clouds are parameterized in global models,
Results of CloudSat mission can help the world’s weather forecasters answer the following questions: • How much water and ice is the cloud expected to contain? • How much of that water is likely to turn into precipitation? • What fraction of the globe’s cloud cover produces precipitation that reaches the ground? • Quantitatively evaluate the representation of clouds and cloud processes in global atmospheric circulation models, leading to improvements in both weather forecasting and climate prediction; • Quantitatively evaluate the relationship between the vertical profiles of cloud liquid water and ice content and the radiative heating by clouds.
CloudSat Operation: • Launch History, site and vehicle: • History: • CloudSat was selected as NASA Earth System Pathfinder (NASA-ESSP) satellite mission in 1999, • CloudSat was launched on April 28, 2006, • its primary mission is scheduled to continue for 22 months, • Since 2006, CloudSat has flown the first satellite-based millimeter-wavelength cloud radar (—a radar that is more than 1000 times more sensitive than existing weather radars.) • Launch Site: • Together with CALIPSO (another ESSP mission satellite), was launched from space Launch Complex 2W at Vendenberg Air Force Base, California . the Earth System Science Pathfinder Program sponsored missions are designed to address unique, specific, highly focused scientific issues, and to provide measurements required to support Earth science research
Launch Vehicle: • CloudSat was launched from a two stage Delta launch vehicle (a vehicle that has a success rate of 98%) with a dual payload attachment fitting (DPAF). • Delta II payload Capability ranges from 2.7 to 5.8 metric tons, • With its payload, the vehicle stood 39meters.
The A-Train Concept: • The satellite will fly in orbit around Earth in a tight formation with the CALIPSO satellite, which carries a backscattering lidar, • In turn, the two satellites will follow behind the Aqua satellite in a looser formation, • As a group, the satellites have been referred to as the A -Train, • The combination of data from the CloudSat radar with coincident measurements from CALIPSO and Aqua provides a rich source of information that can be used to assess the role of clouds in both weather and climate.
Operations: • CloudSat uses advanced radar to “slice” through clouds, (Active Sensor scenario) • It uses millimeter wave radar that operate at wavelengths of approximately 3 to 8 mm (or frequency of 94 or 35 GHz)
CloudSat Operations • Cloud Profiling Radar (CPR) • The CloudSat payload is a 94GHz CPR [developed jointly by NASA's Jet Propulsion Laboratory (JPL) and the Canadian Space Agency (CSA)], • Why 94GHz Radar Frequency (=3.1 mm wavelength)? • It was explained by NASA as a tradeoff between: • Sensitivity • Antennae Gain, • Atmospheric Transmission, • Radar Transmitting efficiency. • Sensitivity and antenna gain increase with frequency while atmospheric transmission and transmitter efficiency decrease with frequency. • 94GHz was found to be a Good Compromise
Competing Factors Conflicting factors • High Vertical Resolution • Resolving Atmospheric attenuation, • and hence improving Sensitivity of the radar receiver, • Radar Technology • Launch constraint • (both affecting antennae size and transmitter power Other effects that come in to play with selecting a 94GHz radar frequency are:Matching the competing and conflicting factors:
Radar Intensity is measured by a reflectivity factor (Z) • Z [mm^6/m^3] • Where: • ni = No. of particles per unit volume, • Di = Diameter of particles • Also Z is expressed in dBZ: This is to account for very large and very small numbers
What does dBZ stand for? • Literally: • dB= “decibel” ( unit used to express differences in relative power or intensity) • Z= Reflectivity factor (amount of transmitted energy that is reflected back to the radar receiver) • In general: • The higher the dB value the larger the object detected (Ex: Large rain drops), • Values of dBZ<15 usually are indication of very light precipitation that evaporates before reaching the ground. • From this stand point: original requirements on CPR were: sensitivity defined by a minimum detectable reflectivity factor of -30 dBZ • (this is due to the fact that clouds are weak scatterers of microwave radiation)
Other CPR Properties • Radar sampling takes place at 625KHz: • Burst rate = 0.16s/burst • PRF = 4300 • For this we can compute: • (4300 pulse/sec)(016 s/burst) = 688pulse/burst • The CloudSat antennae has a diameter of 1.85m • It will provide an instantaneous footprint of approximately 1.4km (=Cross Track HorizontalSpatial Resolution) • TERMS: • burst rate: interval to create a CloudSat “ra y” (also called Profile) • PRF = Pulse Repetition frequency • Footprint: an area covered by a satellite
The CPR instrument will be flown in a sun-synchronous orbitat an 89o inclination angle, and a nominal altitude of 705 km. (720km?) • This orbit character will produce an along track velocity of 7km/s • Using this velocity, and the sample rate of 0.16 sec/profile, we can approximate that a CPR profile will be generated every 1.1 km along track. equator polar Sun-syn.
Each profile will have 125 vertical bins (slices, representing), and each bin will be approximately 240m thick. ( Vertical Spatial resolution
FIGURE: Instantaneous footprint when satellite travels one sample period or 0.16 sec 1.1km apart
FIGURE: effect of “sliding” the instantaneous footprint along track for one sample period.
A CloudSat Data “Granule” is defined as one orbit (which is equal to earth's circumference, 40,022km), Vertical Resolution
CloudSat Data Products: • CloudSat's standard data products include: • calibrated cloud-profiling radar reflectivity data, as well as • cloud geometric profile, • cloud classification, • cloud optical depth by layer, • cloud liquid water content, • cloud ice water content, • atmospheric radiative fluxes and heating rates, • cloud geometrical profile with lidar input from CALIPSO, and • cloud classification with lidar input from CALIPSO
This heating exerts a dominant influence on the large-scale circulation of the atmosphere as well as on deep convective cloud systems. • Major Areas of Application • Model-to-model variation of prediction of climate warming, • Occurring as a result of the inadequate prediction of cloud properties and the different way models specify vertical climate distribution, • the vertical distribution and overlap of cloud layers directly determine both the magnitude and vertical profile of radiative heating, (Graeme S.L) • CloudSat has got its application in slicing through the cloud and finding out the radiative heating rate, Cloud Radiative Heating (K/Day) for various thickness of clouds: For example, high cloud layers heat the tropical atmosphere by more than 80 W m−2 (relative to clear skies) 12 W/m2 45 W/m2 3 W/m2