Relevant bibliographies by topics / Cloud structure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cloud structure'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Cloud structure"

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Yu, Haixiao, Jinji Ma, Safura Ahmad, Erchang Sun, Chao Li, Zhengqiang Li, and Jin Hong. "Three-Dimensional Cloud Structure Reconstruction from the Directional Polarimetric Camera." Remote Sensing 11, no. 24 (December 4, 2019): 2894. http://dx.doi.org/10.3390/rs11242894.

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Clouds affect radiation transmission through the atmosphere, which impacts the Earth’ s energy balance and climate. Currently, the study of clouds is mostly based on a two-dimensional (2-D) plane rather than a three-dimensional (3-D) space. However, 3-D cloud reconstruction is playing an important role not only in a radiation transmission calculation but in forecasting climate change as well. Currently, the study of clouds is mostly based on 2-D single angle satellite observation data while the importance of a 3-D structure of clouds in atmospheric radiation transmission is ignored. 3-D structure reconstruction would improve the radiation transmission accuracy of the cloudy atmosphere based on multi-angle observations data. Characterizing the 3-D structure of clouds is crucial for an extensive study of this complex intermediate medium in the atmosphere. In addition, it is also a great carrier for visualization of its parameters. Special attributes and the shape of clouds can be clearly illustrated in a 3-D cloud while these are difficult to describe in a 2-D plane. It provides a more intuitive expression for the study of complex cloud systems. In order to reconstruct a 3-D cloud structure, we develop and explore a ray casting algorithm applied to data from the Directional Polarimetric Camera (DPC), which is onboard the GF-5 satellite. In this paper, we use DPC with characteristics of imaging multiple angles of the same target, and characterize observations of clouds from different angles in 3-D space. This feature allows us to reconstruct 3-D clouds from different angles of observations. In terms of verification, we use cloud profile data provided by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) to compare with the results of reconstructed 3-D clouds based on DPC data. This shows that the reconstruction method has good accuracy and effectiveness. This 3-D cloud reconstruction method would lay a scientific reference for future analysis on the role of clouds in the atmosphere and for the construction of 3-D structures of aerosols.
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Lines, S., N. J. Mayne, J. Manners, I. A. Boutle, B. Drummond, T. Mikal-Evans, K. Kohary, and D. K. Sing. "Overcast on Osiris: 3D radiative-hydrodynamical simulations of a cloudy hot Jupiter using the parametrized, phase-equilibrium cloud formation code EddySed." Monthly Notices of the Royal Astronomical Society 488, no. 1 (July 1, 2019): 1332–55. http://dx.doi.org/10.1093/mnras/stz1788.

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ABSTRACT We present results from 3D radiative-hydrodynamical simulations of HD 209458b with a fully coupled treatment of clouds using the EddySed code, critically, including cloud radiative feedback via absorption and scattering. We demonstrate that the thermal and optical structure of the simulated atmosphere is markedly different, for the majority of our simulations, when including cloud radiative effects, suggesting this important mechanism cannot be neglected. Additionally, we further demonstrate that the cloud structure is sensitive to not only the cloud sedimentation efficiency (termed fsed in EddySed), but also the temperature–pressure profile of the deeper atmosphere. We briefly discuss the large difference between the resolved cloud structures of this work, adopting a phase-equilibrium and parametrized cloud model, and our previous work incorporating a cloud microphysical model, although a fairer comparison where, for example, the same list of constituent condensates is included in both treatments is reserved for a future work. Our results underline the importance of further study into the potential condensate size distributions and vertical structures, as both strongly influence the radiative impact of clouds on the atmosphere. Finally, we present synthetic observations from our simulations reporting an improved match, over our previous cloud-free simulations, to the observed transmission, HST WFC3 emission, and 4.5 μm Spitzer phase curve of HD 209458b. Additionally, we find all our cloudy simulations have an apparent albedo consistent with observations.
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Alves, João, Marco Lombardi, and Charles Lada. "Insights on molecular cloud structure." Proceedings of the International Astronomical Union 6, S270 (May 2010): 99–102. http://dx.doi.org/10.1017/s1743921311000238.

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AbstractStars form in the densest regions of clouds of cold molecular hydrogen. Measuring structure in these clouds is far from trivial as 99% of the mass of a molecular cloud is inaccessible to direct observation. Over the last decade we have been developing an alternative, more robust density tracer technique based on dust extinction measurements towards background starlight. The new technique does not suffer from the complications plaguing the more conventional molecular line and dust emission techniques, and when used with these can provide unique views on cloud chemistry and dust grain properties in molecular clouds. In this brief communication we summarize the main results achieved so far using this technique.
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Lan, Ji Ming, Shu Jie Lu, and Li Ming Zhang. "Research of Distributional Ecology Cloud-Structure." Advanced Materials Research 760-762 (September 2013): 1758–61. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1758.

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Proposed that idea of cloud computing ecology development, supports and guiding cloud model deployment, the cloud service management and Clouds protocols observes the purification of mix cloud environment. Has designed the multiple dimension data saving structure and real-time mass-data processing of model as well as the asynchronous overall construction distributional ecology cloud structure. It has been shown that this ecology cloud structure is healthy.
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Sotiropoulou, G., J. Sedlar, M. Tjernström, M. D. Shupe, I. M. Brooks, and P. O. G. Persson. "The thermodynamic structure of summer Arctic stratocumulus and the dynamic coupling to the surface." Atmospheric Chemistry and Physics Discussions 14, no. 3 (February 11, 2014): 3815–74. http://dx.doi.org/10.5194/acpd-14-3815-2014.

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Abstract. The vertical structure of Arctic low-level clouds and Arctic boundary layer is studied, using observations from ASCOS (Arctic Summer Cloud Ocean Study), in the central Arctic, in late summer 2008. Two general types of cloud structures are examined: the "neutrally-stratified" and "stably-stratified" clouds. Neutrally-stratified are mixed-phase clouds where radiative-cooling near cloud top produces turbulence that creates a cloud-driven mixed layer. When this layer mixes with the surface-generated turbulence, the cloud layer is coupled to the surface, whereas when such an interaction does not occur, it remains decoupled; the latter state is most frequently observed. The decoupled clouds are usually higher compared to the coupled; differences in thickness or cloud water properties between the two cases are however not found. The surface fluxes are also very similar for both states. The decoupled clouds exhibit a bimodal thermodynamic structure, depending on the depth of the sub-cloud mixed layer (SML): clouds with shallower SMLs are disconnected from the surface by weak inversions, whereas those that lay over a deeper SML are associated with stronger inversions at the decoupling height. Neutrally-stratified clouds generally precipitate; the evaporation/sublimation of precipitation often enhances the decoupling state. Finally, stably-stratified clouds are usually lower, geometrically and optically thinner, non-precipitating liquid-water clouds, not containing enough liquid to drive efficient mixing through cloud-top cooling.
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Sotiropoulou, G., J. Sedlar, M. Tjernström, M. D. Shupe, I. M. Brooks, and P. O. G. Persson. "The thermodynamic structure of summer Arctic stratocumulus and the dynamic coupling to the surface." Atmospheric Chemistry and Physics 14, no. 22 (November 28, 2014): 12573–92. http://dx.doi.org/10.5194/acp-14-12573-2014.

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Abstract. The vertical structure of Arctic low-level clouds and Arctic boundary layer is studied, using observations from ASCOS (Arctic Summer Cloud Ocean Study), in the central Arctic, in late summer 2008. Two general types of cloud structures are examined: the "neutrally stratified" and "stably stratified" clouds. Neutrally stratified are mixed-phase clouds where radiative-cooling near cloud top produces turbulence that generates a cloud-driven mixed layer. When this layer mixes with the surface-generated turbulence, the cloud layer is coupled to the surface, whereas when such an interaction does not occur, it remains decoupled; the latter state is most frequently observed. The decoupled clouds are usually higher compared to the coupled; differences in thickness or cloud water properties between the two cases are however not found. The surface fluxes are also very similar for both states. The decoupled clouds exhibit a bimodal thermodynamic structure, depending on the depth of the sub-cloud mixed layer (SCML): clouds with shallower SCMLs are disconnected from the surface by weak inversions, whereas those that lay over a deeper SCML are associated with stronger inversions at the decoupling height. Neutrally stratified clouds generally precipitate; the evaporation/sublimation of precipitation often enhances the decoupling state. Finally, stably stratified clouds are usually lower, geometrically and optically thinner, non-precipitating liquid-water clouds, not containing enough liquid to drive efficient mixing through cloud-top cooling.
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Cesana, G., D. E. Waliser, D. Henderson, T. S. L’Ecuyer, X. Jiang, and J. L. F. Li. "The Vertical Structure of Radiative Heating Rates: A Multimodel Evaluation Using A-Train Satellite Observations." Journal of Climate 32, no. 5 (February 7, 2019): 1573–90. http://dx.doi.org/10.1175/jcli-d-17-0136.1.

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Abstract We assess the vertical distribution of radiative heating rates (RHRs) in climate models using a multimodel experiment and A-Train satellite observations, for the first time. As RHRs rely on the representation of cloud amount and properties, we first compare the modeled vertical distribution of clouds directly against lidar–radar combined cloud observations (i.e., without simulators). On a near-global scale (50°S–50°N), two systematic differences arise: an excess of high-level clouds around 200 hPa in the tropics, and a general lack of mid- and low-level clouds compared to the observations. Then, using RHR profiles calculated with constraints from A-Train and reanalysis data, along with their associated maximum uncertainty estimates, we show that the excess clouds and ice water content in the upper troposphere result in excess infrared heating in the vicinity of and below the clouds as well as a lack of solar heating below the clouds. In the lower troposphere, the smaller cloud amount and the underestimation of cloud-top height is coincident with a shift of the infrared cooling to lower levels, substantially reducing the greenhouse effect, which is slightly compensated by an erroneous excess absorption of solar radiation. Clear-sky RHR differences between the observations and the models mitigate cloudy RHR biases in the low levels while they enhance them in the high levels. Finally, our results indicate that a better agreement between observed and modeled cloud profiles could substantially improve the RHR profiles. However, more work is needed to precisely quantify modeled cloud errors and their subsequent effect on RHRs.
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Tamura, M., T. Nagata, S. Sato, M. Tanaka, N. Kaifu, J. Hough, I. McLean, I. Gatley, R. Garden, and M. McCaughrean. "Magnetic Field Structure in Dark Clouds." Symposium - International Astronomical Union 115 (1987): 48–50. http://dx.doi.org/10.1017/s0074180900094808.

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The magnetic field geometry in the central regions of two dark clouds has been mapped by measuring the polarization at 2.2 μm of background stars and of stars embedded in the clouds. The observations were done with the Kyoto polarimeter on the Agematsu 1m IR telescope in December 1984 for Heiles Cloud 2 in the Taurus dark cloud complex, and on the UKIRT 3.8m in May and July 1985 for the ρ Ophiuchus dark cloud core. The main results are: i)Most of the stars in both regions show polarization and their maxima are 2.7% in Heiles Cloud 2 and 7.6% in ρ Oph, respectively. There are similar positive relations between polarization degree and extinct ion Av's.ii)The distribution of position angles for Heiles Cloud 2 shows a single mode at about 50° and that for ρ Oph shows a bimode, at about 50° and 150°.iii)The magnetic fields, as delineated by the infrared polarization, appear perpendicular to the flattened elongations of the molecular clouds.
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Kikuch, Katsuhiro, Masaharu Fujii, Ryuichi Shirooka, and Susumu Yoshida. "The Cloud Base Structure of Stratocumulus Clouds." Journal of the Meteorological Society of Japan. Ser. II 69, no. 6 (1991): 701–8. http://dx.doi.org/10.2151/jmsj1965.69.6_701.

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Matheou, Georgios, Anthony B. Davis, and João Teixeira. "The Spiderweb Structure of Stratocumulus Clouds." Atmosphere 11, no. 7 (July 8, 2020): 730. http://dx.doi.org/10.3390/atmos11070730.

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Stratocumulus clouds have a distinctive structure composed of a combination of lumpy cellular structures and thin elongated regions, resembling canyons or slits. The elongated slits are referred to as “spiderweb” structure to emphasize their interconnected nature. Using very high resolution large-eddy simulations (LES), it is shown that the spiderweb structure is generated by cloud-top evaporative cooling. Analysis of liquid water path (LWP) and cloud liquid water content shows that cloud-top evaporative cooling generates relatively shallow slits near the cloud top. Most of liquid water mass is concentrated near the cloud top, thus cloud-top slits of clear air have a large impact on the entire-column LWP. When evaporative cooling is suppressed in the LES, LWP exhibits cellular lumpy structure without the elongated low-LWP regions. Even though the spiderweb signature on the LWP distribution is negligible, the cloud-top evaporative cooling process significantly affects integral boundary layer quantities, such as the vertically integrated turbulent kinetic energy, mean liquid water path, and entrainment rate. In a pair of simulations driven only by cloud-top radiative cooling, evaporative cooling nearly doubles the entrainment rate.
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Dissertations / Theses on the topic "Cloud structure"

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Abedigamba, Oyirwoth Patrick. "The structure of the Large Magellanic Cloud." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/13514.

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Includes bibliographical references (leaves 67-69).
This work gives an account of the study of the metallicity [Fe/H] distribution (gradient) in the oldest population in the Large Magellanic Cloud (LMC), by making use of the available RR Lyrae data from the Optical Gravitational Lensing Experiment III (OGLE III). RR Lyrae stars are amongst the oldest objects in the universe and they have a range in element (metal) abundances. Measuring the distribution of metallicities of RR Lyrae stars in a galaxy gives one clues to the origin of galaxies. It is known that the pulsation periods of RR Lyraes is broadly correlated with their metallicity. This fact has been used for investigating the metallicity distribution of RR Lyrae stars in the LMC. I have found an indication that the proportion of metal poor RR Lyrae stars increases with distance from the centre of the LMC. In addition, an attempt was made to improve the metallicity-period relation by introducing the Fourier parameters, but this was unsuccessful. Lastly, a comparison is made with estimates of metallicity gradients of other LMC populations.
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Song, Shi. "The Spectral Signature of Cloud Spatial Structure in Shortwave Radiation." Thesis, University of Colorado at Boulder, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10151129.

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In this thesis, we aim to systematically understand the relationship between cloud spatial structure and its radiation imprints, i.e., three-dimensional (3D) cloud effects, with the ultimate goal of deriving accurate radiative energy budget estimates from space, aircraft, or ground-based observations under spatially inhomogeneous conditions. By studying the full spectral information in the measured and modeled shortwave radiation fields of heterogeneous cloud scenes sampled during aircraft field experiments, we find evidence that cloud spatial structure reveals itself through spectral signatures in the associated irradiance and radiance fields in the near-ultraviolet and visible spectral range.

The spectral signature of 3D cloud effects in irradiances is apparent as a domain- wide, consistent correlation between the magnitude and spectral dependence of net horizontal photon transport. The physical mechanism of this phenomenon is molecular scattering in conjunction with cloud heterogeneity. A simple parameterization with a single parameter ϵ is developed, which holds for individual pixels and the domain as a whole. We then investigate the impact of scene parameters on the discovered correlation and find that it is upheld for a wide range of scene conditions, although the value of ϵ varies from scene to scene.

The spectral signature of 3D cloud effects in radiances manifests itself as a distinct relationship between the magnitude and spectral dependence of reflectance, which cannot be reproduced in the one-dimensional (1D) radiative transfer framework. Using the spectral signature in radiances and irradiances, it is possible to infer information on net horizontal photon transport from spectral radiance perturbations on the basis of pixel populations in sub-domains of a cloud scene.

We show that two different biases need to be considered when attempting radiative closure between measured and modeled irradiance fields below inhomogeneous cloud fields: the remote sensing bias (affecting cloud radiances and thus retrieved properties of the inhomogeneous scene) and the irradiance bias (ignoring 3D effects in the calculation of irradiance fields from imagery-based cloud retrievals). The newly established relationships between spatial and spectral structure lay the foundation for first-order corrections for these 3D biases within a 1D framework, once the correlations are explored on a more statistical basis.

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Giles, Rohini. "Jupiter's tropospheric composition and cloud structure from 5-μm spectroscopy." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:04619240-ba40-4ee2-afcc-7f911f364d05.

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This thesis uses infrared observations from spacecraft and ground-based telescopes to investigate the composition and cloud structure of the jovian atmosphere. It focuses on a single spectral region, known as the 5-μm window, where Jupiter's upper atmosphere becomes optically thin. This allows us to probe down beneath the planet's thick cloud decks to the 4{8 bar region in the middle troposphere. Two different data sources are combined to build up a three-dimensional picture of Jupiter's troposphere. The first dataset is from the Cassini VIMS instrument, and was taken during the 2000-2001 Jupiter yby. These observations cover a wide spectral range, provide global coverage and include both the nightside and the dayside of the planet, making them well suited to studying clouds. The VIMS spectra can be modelled using a single tropospheric cloud deck, subject to the following constraints: (i) the cloud base is located at pressures of 1.2 bar or lower; (ii) the cloud particles are highly scattering; and (iii) the cloud is sufficiently spectrally at. The second dataset is from the CRIRES instrument at the Very Large Telescope in Chile. These observations have a very high spectral resolution, allowing the absorption lines of individual molecular species to be resolved. The CH3D line shape varies between belts and zones, which can be interpreted as variations in the opacity of a deep cloud, located at around 5 bar. There is also evidence for spatial variability in two disequilibrium species, AsH3 and PH3, both of which show an enhancement at high latitudes. This is in contrast to a third disequilibrium species, GeH4, which shows no evidence for spatial variability. The CRIRES dataset also includes several strong emission lines, which are identified as H3+, an auroral species in Jupiter's ionosphere. The strengths of these lines were measured in order to determine the ionospheric temperatures. The work in this thesis contributes to our understanding of the dynamical, chemical and cloud-forming processes shaping Jupiter's troposphere and provides a reference point for future work, including observations made by NASA's Juno mission.
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Lloyd, P. E. "Tropospheric sounding from the TIROS-N series of satellites." Thesis, University of Oxford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379918.

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Lewtas, Joan. "Radio structure and associated molecular environment at the galactic centre." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.346434.

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Hatzidimitriou, D. "The evolution and geometry of the oouter parts of the Small Magellanic Cloud." Thesis, University of Edinburgh, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234097.

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Horner, Michael S. "Determining the fine structure of the entrainment zone in cloud-topped boundary layers." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FHorner.pdf.

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Abreu, Vicente Jorge [Verfasser], and Thomas [Akademischer Betreuer] Henning. "Molecular Cloud Structure at Galactic Scales / Jorge Abreu Vicente ; Betreuer: Thomas Henning." Heidelberg : Universitätsbibliothek Heidelberg, 2017. http://d-nb.info/1180739663/34.

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Hill, Peter. "Representing cloud structure in the radiation scheme of the Met Office model." Thesis, University of Reading, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654496.

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Metzger, Eric L. "The relationship between total cloud lightning behavior and radar derived thunderstorm structure." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Mar/10Mar%5FMetzger.pdf.

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Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2010.
Thesis Advisor: Nuss, Wendell. Second Reader: Pfeiffer, Karl. "March 2010." Author(s) subject terms: Total cloud lightning, thunderstorm structure, hail, severe wind(s), tornadoes, lightning jumps, lightning detection, Lightning behavior, radar derived thunderstorm structure. Includes bibliographical references (p. 83-85). Also available in print.
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Books on the topic "Cloud structure"

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Leaf structure of a Venezuelan cloud forest in relation to the microclimate. Berlin: G. Borntraeger, 1990.

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The internal structure of cloud hands: A gateway to advanced tai chi practice. Berkeley, Calif: Blue Snake Books, 2012.

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Knupp, Kevin Robert. Analysis and modeling of summertime convective cloud and precipitation structure over the southeastern United States: Report for the period 15 September to 14 June 1989. [Washington, DC: National Aeronautics and Space Administration, 1990.

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Knupp, Kevin Robert. Analysis and modeling of summertime convective cloud and precipitation structure over the southeastern United States: Semiannual report for the period 15 March to 15 September 1988. [Washington, DC: National Aeronautics and Space Administration, 1988.

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Knupp, Kevin Robert. Analysis and modeling of summertime convective cloud and precipitation structure over the southeastern United States: Final report, NASA grant NAG8-654, period of performance, 15 September 1987-31 December 1990. Huntsville, AL: Atmospheric Science and Remote Sensing Laboratory, Johnson Research Center, University of Alabama in Huntsville, 1991.

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Hill, Richard. Guide to Cloud Computing: Principles and Practice. London: Springer London, 2013.

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Mateo, Mario Luis. The structural parameters and initial mass functions of Magellanic Cloud star clusters. [Washington, USA]: University of Michigan, 1987.

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Moses, Ed. Structural reoccurence & cloud cover paintings '80s & '90s: September 10-October 9, 1993. Venice, Calif: Sharon Truax Fine Art, 1993.

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Wilson, Thomas L., and Kenneth J. Johnston, eds. The Structure and Content of Molecular Clouds 25 Years of Molecular Radioastronomy. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58621-0.

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Dakers, Caroline. Clouds: The biography of a country house. New Haven: Yale University Press, 1993.

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Book chapters on the topic "Cloud structure"

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Atreya, Sushil K. "Cloud Structure." In Atmospheres and Ionospheres of the Outer Planets and Their Satellites, 54–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71394-1_3.

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Sun, Yajie, Yanqing Yuan, and Lihua Wang. "Composite Structure Health Monitoring Review Based on FBG Sensor." In Cloud Computing and Security, 171–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00018-9_16.

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Alves, João, Charles Lada, Elizabeth Lada, Marco Lombardi, and Edwin A. Bergin. "Molecular Cloud Structure: The VLT View." In The Origins of Stars and Planets: The VLT View, 35–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-40277-1_4.

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Cahalan, Robert F. "Landsat Observations of Fractal Cloud Structure." In Non-Linear Variability in Geophysics, 281–95. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-2147-4_22.

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Birman, Kenneth P. "The Structure of Cloud Data Centers." In Guide to Reliable Distributed Systems, 145–83. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2416-0_5.

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Dermott, S. F., K. Grogan, E. Holmes, and S. Kortenkamp. "Dynamical Structure of the Zodiacal Cloud." In Formation and Evolution of Solids in Space, 565–82. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4806-1_35.

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Khare, Shanu, Azher Ashraf, Mir Mohammad Yousuf, and Mamoon Rashid. "Blockchain: Structure, Uses, and Applications in IoT." In Blockchain Security in Cloud Computing, 131–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70501-5_6.

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Yu, Xueyong, and Guohua Jiang. "A Web Security Testing Method Based on Web Application Structure." In Cloud Computing and Security, 244–58. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27051-7_21.

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Yu, Jinxia, Chaochao Yang, Yongli Tang, and Xixi Yan. "Attribute-Based Encryption Scheme Supporting Tree-Access Structure on Ideal Lattices." In Cloud Computing and Security, 519–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00012-7_47.

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Terzian, Yervant, S. E. Schneider, and E. E. Salpeter. "The Leo Intergalactic Neutral Hydrogen Cloud." In Structure and Evolution of Active Galactic Nuclei, 723–25. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4562-3_84.

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Conference papers on the topic "Cloud structure"

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Alfatafta, Mohammed, Zuhair AlSader, and Samer Al-Kiswany. "COOL: A Cloud-Optimized Structure for MPI Collective Operations." In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD). IEEE, 2018. http://dx.doi.org/10.1109/cloud.2018.00102.

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Jajodia, Sushil, Witold Litwin, and Thomas Schwarz. "LH*RE: A Scalable Distributed Data Structure with Recoverable Encryption." In 2010 IEEE International Conference on Cloud Computing (CLOUD). IEEE, 2010. http://dx.doi.org/10.1109/cloud.2010.41.

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Wang, Xi Vincent, and Lihui Wang. "Interoperability in Cloud Manufacturing and Practice on Private Cloud Structure for SMEs." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-3038.

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Abstract:
In recent years, Cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of production paradigm. However, the interoperability issue still requires more research due to the heterogeneous environment caused by multiple Cloud services and applications developed in different platforms and languages. Therefore, this research aims to combat the interoperability issue in Cloud Manufacturing System. During implementation, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), are normally short of budget for hardware and software investment due to financial stresses, but they are facing multiple challenges required by customers at the same time including security requirements, safety regulations. Therefore in this research work, the proposed Cloud manufacturing system is specifically tailored for SMEs.
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Huo, Juan. "Constructing cloud structure using CloudSat/AQUAdata." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8651412.

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Jujare, Varsha Anup. "Cloud computing: Approach, Structure and Security." In 2018 Second International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2018. http://dx.doi.org/10.1109/iccmc.2018.8487479.

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Kaur, M., and P. Singh. "Energy efficient Green Cloud: Underlying structure." In 2013 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). IEEE, 2013. http://dx.doi.org/10.1109/iceets.2013.6533383.

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Pacheco, Vinicius, and Ricardo Puttini. "SaaS Anonymous Cloud Service Consumption Structure." In 2012 32nd International Conference on Distributed Computing Systems Workshops (ICDCS Workshops). IEEE, 2012. http://dx.doi.org/10.1109/icdcsw.2012.28.

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Kirby, Austin, Bailey Henson, Jamie Thomas, Matthew Armstrong, and Michael Galloway. "Storage and File Structure of a Bioinformatics Cloud Architecture." In 2019 IEEE Cloud Summit. IEEE, 2019. http://dx.doi.org/10.1109/cloudsummit47114.2019.00024.

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Lin, Xue, Massoud Pedram, Jian Tang, and Yanzhi Wang. "A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types." In 2016 IEEE 9th International Conference on Cloud Computing (CLOUD). IEEE, 2016. http://dx.doi.org/10.1109/cloud.2016.0090.

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Muthanna, Mohammed Manea Ahmed, Vadim Nikolayevich, Artem Volkov, and Khakimov Abdukodir. "Approaches for multi-tier cloud structure management." In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2019. http://dx.doi.org/10.1109/icumt48472.2019.8970905.

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Reports on the topic "Cloud structure"

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Lewellen, David C., and W. S. Lewellen. Cloud Structure and Entrainment in Marine Atmospheric Boundary Layers. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629768.

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Wiscombe, W. Modeling of cloud liquid water structure and the associated radiation field. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/232615.

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Liszka, Tadeusz J., C. A. Duarte, and O. P. Hamzeh. Hp-Meshless Cloud Method for Dynamic Fracture in Fluid Structure Interaction. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada376673.

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Huang, Dong, Stephen E. Schwartz, and Dantong Yu. Determination of Cloud Base Height, Wind Velocity, and Short-Range Cloud Structure Using Multiple Sky Imagers Field Campaign Report. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1294258.

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Kmetyk, L. N., L. C. Chhabildas, M. B. Boslough, and R. J. Lawrence. Effect of phase change in a debris cloud on a backwall structure. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10194984.

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Wetzel, Melanie A., Steven K. Chai, and Darko R. Koracin. Multispectral Remote Sensing and COAMPS Model Analysis Methods for Marine Cloud Structure, Entrainment Processes and Refractivity Effects. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada429089.

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Wetzel, Melanie A., Steven K. Chai, and Darko R. Koracin. Multispectral Remote Sensing and COAMPS Model Analysis Methods for Marine Cloud Structure, Entrainment Processes and Refractivity Effects. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629830.

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Hastings, D. E., N. A. Gatsonis, and T. Mogstad. A Simple Model for the Initial Phase of a Water Plasma Cloud about a Large Structure in Space. Fort Belvoir, VA: Defense Technical Information Center, May 1987. http://dx.doi.org/10.21236/ada187686.

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Eloranta, E. W. The Measurement of Cirrus Cloud Structure and Optical Properties with a High Spectral Resolution Lidar and a Volume Imaging Lidar. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada329185.

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Cox, Stephen K. Effects of Cloud Geometric Structures on Their Radiative Properties. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634187.

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