Relevant bibliographies by topics / Multiple Clouds

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

Academic literature on the topic 'Multiple Clouds'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "Multiple Clouds"

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Chou, Ming-Dah, Kyu-Tae Lee, Si-Chee Tsay, and Qiang Fu. "Parameterization for Cloud Longwave Scattering for Use in Atmospheric Models." Journal of Climate 12, no. 1 (1999): 159–69. http://dx.doi.org/10.1175/1520-0442-12.1.159.

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Abstract A parameterization for the scattering of thermal infrared (longwave) radiation by clouds has been developed based on discrete-ordinate multiple-scattering calculations. The effect of backscattering is folded into the emission of an atmospheric layer and the absorption between levels by scaling the cloud optical thickness. The scaling is a function of the single-scattering albedo and asymmetry factor. For wide ranges of cloud particle size, optical thickness, height, and atmospheric conditions, flux errors induced by the parameterization are small. They are <4 W m−2 (2%) in the upward flux at the top of the atmosphere and <2 W m−2 (1%) in the downward flux at the surface. Compared to the case that scattering by clouds is neglected, the flux errors are more than a factor of 2 smaller. The maximum error in cooling rate is ≈8%, which occurs at the top of clouds, as well as at the base of high clouds where the difference between the cloud and surface temperatures is large. With the scaling approximation, radiative transfer equations for a cloudy atmosphere are identical with those for a clear atmosphere, and the difficulties in applying a multiple-scattering algorithm to a partly cloudy atmosphere (assuming homogeneous clouds) are avoided. The computational efficiency is practically the same as that for a clear atmosphere. The parameterization represents a significant reduction in one source of the errors involved in the calculation of longwave cooling in cloudy atmospheres.
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Gielen, C., M. Van Roozendael, F. Hendrick, et al. "A simple and versatile cloud-screening method for MAX-DOAS retrievals." Atmospheric Measurement Techniques 7, no. 10 (2014): 3509–27. http://dx.doi.org/10.5194/amt-7-3509-2014.

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Abstract. We present a cloud-screening method based on differential optical absorption spectroscopy (DOAS) measurements, more specifically using intensity measurements and O4 differential slant-column densities (DSCDs). Using the colour index (CI), i.e. the ratio of the radiance at two wavelengths, we define different sky conditions including clear, thin clouds/polluted, fully-cloudy, and heavily polluted. We also flag the presence of broken and scattered clouds. The O4 absorption is a good tracer for cloud-induced light-path changes and is used to detect clouds and discriminate between instances of high aerosol optical depth (AOD) and high cloud optical depth (COD). We apply our cloud screening to MAX-DOAS (multi-axis DOAS) retrievals at three different sites with different typical meteorological conditions, more specifically suburban Beijing (39.75° N, 116.96° E), Brussels (50.78° N, 4.35° E) and Jungfraujoch (46.55° N, 7.98° E). We find that our cloud screening performs well characterizing the different sky conditions. The flags based on the colour index are able to detect changes in visibility due to aerosols and/or (scattered) clouds. The O4-based multiple-scattering flag is able to detect optically thick clouds, and is needed to correctly identify clouds for sites with extreme aerosol pollution. Removing data taken under cloudy conditions results in a better agreement, in both correlation and slope, between the MAX-DOAS AOD retrievals and measurements from other co-located instruments.
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Gielen, C., M. Van Roozendael, F. Hendrick, et al. "A simple and versatile cloud-screening method for MAX-DOAS retrievals." Atmospheric Measurement Techniques Discussions 7, no. 6 (2014): 5883–920. http://dx.doi.org/10.5194/amtd-7-5883-2014.

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Abstract. We present a cloud-screening method based on differential optical absorption spectroscopy (DOAS) measurements, more specifically using zenith sky spectra and O4 differential slant-column densities (DSCDs). Using the colour index (CI), i.e. the ratio of the radiance at two wavelengths, we define different sky conditions including clear, thin clouds/polluted, fully-cloudy, and heavily polluted. We also flag the presence of broken and scattered clouds. The O4 absorption is a good tracer for cloud-induced light-path changes and is used to detect clouds and discriminate between instances of high aerosol optical depth (AOD) and high cloud optical depth (COD). We apply our cloud screening to MAX-DOAS (multi-axis DOAS) retrievals at three different sites with different typical meteorological conditions, more specifically suburban Beijing (39.75° N, 116.96° E), Brussels (50.78° N, 4.35° E) and Jungfraujoch (46.55° N, 7.98° E). We find that our cloud screening performs well characterizing the different sky conditions. The flags based on the colour index are able to detect changes in visibility due to aerosols and/or (scattered) clouds. The O4-based multiple-scattering flag is able to detect optically thick clouds, and is needed to correctly identify clouds for sites with extreme aerosol pollution. Removing data taken under cloudy conditions results in a better agreement, in both correlation and slope, between the AOD retrievals and measurements from other co-located instruments.
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Witte, M. K., P. Y. Chuang, and G. Feingold. "On clocks and clouds." Atmospheric Chemistry and Physics Discussions 13, no. 9 (2013): 23461–90. http://dx.doi.org/10.5194/acpd-13-23461-2013.

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Abstract. Cumulus clouds exhibit a life cycle that consists of: (a) the growth phase (increasing size, most notably in the vertical direction); (b) the mature phase (growth ceases; any precipitation that develops is strongest during this period); and (c) the dissipation phase (cloud dissipates because of precipitation and/or entrainment; no more dynamical support). Although radar can track clouds over time and give some sense of the age of a cloud, most aircraft in situ measurements lack temporal context. We use large eddy simulations of trade wind cumulus cloud fields from cases during the Barbados Oceanographic and Meteorological Experiment (BOMEX) and Rain In Cumulus over the Ocean (RICO) campaigns to demonstrate a potential cumulus cloud "clock". We find that the volume-averaged total water mixing ratio rt is a useful cloud clock for the 12 clouds studied. A cloud's initial rt is set by the subcloud mixed-layer mean rt and decreases monotonically from the initial value due primarily to entrainment. The clock is insensitive to aerosol loading, environmental sounding and extrinsic cloud properties such as lifetime and volume. In some cases (more commonly for larger clouds), multiple pulses of buoyancy occur, which complicate the cumulus clock by replenishing rt. The clock is most effectively used to classify clouds by life phase.
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Witte, M. K., P. Y. Chuang, and G. Feingold. "On clocks and clouds." Atmospheric Chemistry and Physics 14, no. 13 (2014): 6729–38. http://dx.doi.org/10.5194/acp-14-6729-2014.

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Abstract. Cumulus clouds exhibit a life cycle that consists of (a) the growth phase (increasing size, most notably in the vertical direction); (b) the mature phase (growth ceases; any precipitation that develops is strongest during this period); and (c) the dissipation phase (cloud dissipates because of precipitation and/or entrainment; no more dynamical support). Although radar can track clouds over time and give some sense of the age of a cloud, most aircraft in situ measurements lack temporal context. We use large eddy simulations of trade wind cumulus cloud fields from cases during the Barbados Oceanographic and Meteorological Experiment (BOMEX) and Rain In Cumulus over the Ocean (RICO) campaigns to demonstrate a potential cumulus cloud "clock." We find that the volume-averaged total water mixing ratio rt is a useful cloud clock for the 12 clouds studied. A cloud's initial rt is set by the subcloud mixed-layer mean rt and decreases monotonically from the initial value due primarily to entrainment. The clock is insensitive to aerosol loading, environmental sounding and extrinsic cloud properties such as lifetime and volume. In some cases (more commonly for larger clouds), multiple pulses of buoyancy occur, which complicate the cumulus clock by replenishing rt. The clock is most effectively used to classify clouds by life phase.
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Naud, C. M., J. P. Muller, E. E. Clothiaux, B. A. Baum, and W. P. Menzel. "Intercomparison of multiple years of MODIS, MISR and radar cloud-top heights." Annales Geophysicae 23, no. 7 (2005): 2415–24. http://dx.doi.org/10.5194/angeo-23-2415-2005.

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Abstract. Radar cloud-top heights were retrieved at both the Chilbolton Facility for Atmospheric and Radio Research, UK (CFARR) and the ARM Southern Great Plain site, USA (SGP), using millimetre wave cloud radars and identical algorithms. The resulting cloud-top heights were used for comparison with MODIS and MISR retrieved cloud-top heights, from March 2000 to October 2003. Both imaging instruments reside on the NASA Earth Observing System (EOS) Terra platform launched in 1999. MODIS and MISR cloud-top products were from the recent collections (4 and 3, respectively) that cover the entire mission. The cloud characteristics are different at each ground site, with clouds generally residing at higher altitudes at SGP, but with a greater occurrence of broken or multilayered clouds at CFARR. A method is presented to automatically eliminate scenes where clouds are of a broken nature, since it is difficult in these conditions to ensure that ground-based and satellite measurements refer to the same cloud deck. The intercomparison between MODIS and radar cloud-top heights reveals that MODIS cloud-top heights agree with radar within about 1km for mid- and high-level clouds. However, this accuracy is degraded to nearly 3 km for low-level clouds. MISR cloud-top heights are found to agree with radar cloud-top heights to within 0.6 km, which is in line with theoretical expectations. In single-level cloud situations MODIS and MISR cloud-top heights tend to agree within 1 km. This comparison also reveals that the loss of radar sensitivity during 2001 resulted in the CFARR instrument being less accurate for high-level cloud-top height measurements. Keywords. Atmospheric composition and structure (Instruments and techniques)
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Heiblum, Reuven H., Lital Pinto, Orit Altaratz, Guy Dagan, and Ilan Koren. "Core and margin in warm convective clouds – Part 1: Core types and evolution during a cloud's lifetime." Atmospheric Chemistry and Physics 19, no. 16 (2019): 10717–38. http://dx.doi.org/10.5194/acp-19-10717-2019.

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Abstract. The properties of a warm convective cloud are determined by the competition between the growth and dissipation processes occurring within it. One way to observe and follow this competition is by partitioning the cloud to core and margin regions. Here we look at three core definitions, namely positive vertical velocity (Wcore), supersaturation (RHcore), and positive buoyancy (Bcore), and follow their evolution throughout the lifetime of warm convective clouds. Using single cloud and cloud field simulations with bin-microphysics schemes, we show that the different core types tend to be subsets of one another in the following order: Bcore⊆RHcore⊆Wcore. This property is seen for several different thermodynamic profile initializations and is generally maintained during the growing and mature stages of a cloud's lifetime. This finding is in line with previous works and theoretical predictions showing that cumulus clouds may be dominated by negative buoyancy at certain stages of their lifetime. The RHcore–Wcore pair is most interchangeable, especially during the growing stages of the cloud. For all three definitions, the core–shell model of a core (positive values) at the center of the cloud surrounded by a shell (negative values) at the cloud periphery applies to over 80 % of a typical cloud's lifetime. The core–shell model is less appropriate in larger clouds with multiple cores displaced from the cloud center. Larger clouds may also exhibit buoyancy cores centered near the cloud edge. During dissipation the cores show less overlap, reduce in size, and may migrate from the cloud center.
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Sumi, T., H. Date, and S. Kanai. "MULTIPLE TLS POINT CLOUD REGISTRATION BASED ON POINT PROJECTION IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 1083–90. http://dx.doi.org/10.5194/isprs-archives-xlii-2-1083-2018.

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In this paper, an efficient and robust registration method of multiple point clouds is proposed. In our research, we assume that point clouds are acquired by Terrestrial Laser Scanning (TLS) systems, and the scanned environments have a relatively flat base plane such as the ground or a floor. Our method is based on an existing pairwise registration method based on point projection images, which can quickly register the point clouds under the above assumptions. In the method, sliced point clouds are projected onto the base plane, and a binary image with feature points is created. The registration is done by using feature points of the images based on the sample consensus strategy. In this paper, first, we improve the efficiency of the pairwise registration method by introducing height and occlusion information to the image. Then, a validity check method of pairwise registration using space-classified images is proposed to avoid exhaustive pairwise registration in the multiple point cloud registration process. Finally, an efficient multiple point cloud registration algorithm based on progressive creation of a point cloud connectivity graph using iterative rough and precise pairwise registration and the validity check method is proposed. The effectiveness of our method is shown through its application to three datasets of outdoor environments.
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Fotsing, Cedrique, Nafissetou Nziengam, and Christophe Bobda. "Large Common Plansets-4-Points Congruent Sets for Point Cloud Registration." ISPRS International Journal of Geo-Information 9, no. 11 (2020): 647. http://dx.doi.org/10.3390/ijgi9110647.

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Point cloud registration combines multiple point cloud data sets collected from different positions using the same or different devices to form a single point cloud within a single coordinate system. Point cloud registration is usually achieved through spatial transformations that align and merge multiple point clouds into a single globally consistent model. In this paper, we present a new segmentation-based approach for point cloud registration. Our method consists of extracting plane structures from point clouds and then, using the 4-Point Congruent Sets (4PCS) technique, we estimate transformations that align the plane structures. Instead of a global alignment using all the points in the dataset, our method aligns 2-point clouds using their local plane structures. This considerably reduces the data size, computational workload, and execution time. Unlike conventional methods that seek to align the largest number of common points between entities, the new method aims to align the largest number of planes. Using partial point clouds of multiple real-world scenes, we demonstrate the superiority of our method compared to raw 4PCS in terms of quality of result (QoS) and execution time. Our method requires about half the execution time of 4PCS in all the tested datasets and produces better alignment of the point clouds.
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Yu, Haixiao, Jinji Ma, Safura Ahmad, et al. "Three-Dimensional Cloud Structure Reconstruction from the Directional Polarimetric Camera." Remote Sensing 11, no. 24 (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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Dissertations / Theses on the topic "Multiple Clouds"

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Chen, Xiaojun. "Multiple Scattering from Bubble Clouds." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_theses/36.

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Multiple scattering effects from bubble clouds are investigated in this study. A high performance, general purpose numerical tool for multiple scattering calculations is developed. This numerical tool is applied in three computational scenarios in this study. The total scattering cross section of a bubble cloud is investigated. Numerical results indicate that the resonant frequency of the bubble cloud is much lower than that of a single bubble. The variation of resonant frequency of multiple scattering is also studied. It is found that the resonant frequency decreases as the number of bubbles increases, or as the void fraction of the bubble cloud decreases. Phase distributions of bubble oscillations in various multiple scattering scenarios are presented. It is found that, at resonance, the bubbles synchronize to the same phase, which is indicative of the lowest mode of collective oscillation. At wave localization, half of the bubbles oscillate at phase 0 while the other half oscillate at phase Pi. An intuitive interpretation of this behavior is given.
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Hedlund, Tobias. "Registration of multiple ToF camera point clouds." Thesis, Umeå University, Department of Physics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34952.

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<p>Buildings, maps and objects et cetera, can be modeled using a computer or reconstructed in 3D by data from different kinds of cameras or laser scanners. This thesis concerns the latter. The recent improvements of Time-of-Flight cameras have brought a number of new interesting research areas to the surface. Registration of several ToF camera point clouds is such an area.</p><p>A literature study has been made to summarize the research done in the area over the last two decades. The most popular method for registering point clouds, namely the Iterative Closest Point (ICP), has been studied. In addition to this, an error relaxation algorithm was implemented to minimize the accumulated error of the sequential pairwise ICP.</p><p>A few different real-world test scenarios and one scenario with synthetic data were constructed. These data sets were registered with varying outcome. The obtained camera poses from the sequential ICP were improved by loop closing and error relaxation.</p><p>The results illustrate the importance of having good initial guesses on the relative transformations to obtain a correct model. Furthermore the strengths and weaknesses of the sequential ICP and the utilized error relaxation method are shown.</p>
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De, Souza Bento Da Silva Pedro Paulo. "On the mapping of distributed applications onto multiple Clouds." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN089/document.

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Le Cloud est devenu une plate-forme très répandue pour le déploiement d'applications distribuées. Beaucoup d'entreprises peuvent sous-traiter leurs infrastructures d'hébergement et, ainsi, éviter des dépenses provenant d'investissements initiaux en infrastructure et de maintenance.Des petites et moyennes entreprises, en particulier, attirés par le modèle de coûts sur demande du Cloud, ont désormais accès à des fonctionnalités comme le passage à l'échelle, la disponibilité et la fiabilité, qui avant le Cloud étaient presque réservées à de grandes entreprises.Les services du Cloud peuvent être offerts aux utilisateurs de plusieurs façons. Dans cette thèse, nous nous concentrons sur le modèle d'Infrastructure sous Forme de Service. Ce modèle permet aux utilisateurs d’accéder à des ressources de calcul virtualisés sous forme de machine virtuelles (MVs).Pour installer une application distribuée, un client du Cloud doit d'abord définir l'association entre son application et l'infrastructure. Il est nécessaire de prendre en considération des contraintesde coût, de ressource et de communication pour pouvoir choisir un ensemble de MVs provenant d'opérateurs de Cloud publiques et privés le plus adaptés. Cependant, étant donné la quantité exponentiel de configurations, la définition manuelle de l'association entre application et infrastructure peut être un challenge dans des scénarios à large échelle ou ayant des contraintes importantes de temps. En effet, ce problème est une généralisation du problème de calcul de homomorphisme de graphes, qui est NP-complet.Dans cette thèse, nous adressons le problème de calculer des placements initiaux et de reconfiguration pour des applications distribuées sur potentiellement de multiples Clouds. L'objectif est de minimiser les coûts de location et de migration en satisfaisant des contraintes de ressources et communications. Pour cela, nous proposons des heuristiques performantes capables de calculer des placements de bonne qualité très rapidement pour des scénarios à petite et large échelles. Ces heuristiques, qui sont basées sur des algorithmes de partition de graphes et de vector packing, ont été évaluées en les comparant avec des approches de l'état de l'art comme des solveurs exactes et des méta-heuristiques. Nous montrons en utilisant des simulations que les heuristiques proposées arrivent à calculer des solutions de bonne qualité en quelques secondes tandis que des autres approches prennent des heures ou jours pour les calculer<br>The Cloud has become a very popular platform for deploying distributed applications. Today, virtually any credit card holder can have access to Cloud services. There are many different ways of offering Cloud services to customers. In this thesis we especially focus on theInfrastructure as a Service (IaaS), a model that, usually, proposes virtualized computing resources to costumers in the form of virtual machines (VMs). Thanks to its attractive pay-as-you-use cost model, it is easier for customers, specially small and medium companies, to outsource hosting infrastructures and benefit of savings related to upfront investments and maintenance costs. Also, customers can have access to features such as scalability, availability, and reliability, which previously were almost exclusive for large companies. To deploy a distributed application, a Cloud customer must first consider the mapping between her application (or its parts) to the target infrastructure. She needs to take into consideration cost, resource, and communication constraints to select the most suitable set of VMs, from private and public Cloud providers. However, defining a mapping manually may be a challenge in large-scale or time constrained scenarios since the number of possible configuration explodes. Furthermore, when automating this process, scalability issues must be taken into account given that this mapping problem is a generalization of the graph homomorphism problem, which is NP-complete.In this thesis we address the problem of calculating initial and reconfiguration placements for distributed applications over possibly multiple Clouds. Our objective is to minimize renting and migration costs while satisfying applications' resource and communication constraints. We concentrate on the mapping between applications and Cloud infrastructure. Using an incremental approach, we split the problem into three different parts and propose efficient heuristics that can compute good quality placements very quickly for small and large scenarios. These heuristics are based on graph partition and vector packing heuristics and have been extensively evaluated against state of the art approaches such as MIP solvers and meta-heuristics. We show through simulations that the proposed heuristics manage to compute solutions in a few seconds that would take many hours or days for other approaches to compute
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Wieman, Sharon A. "Multiple channel satellite analysis of cirrus." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA238054.

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Thesis (M.S. in Meteorology)--Naval Postgraduate School, June 1990.<br>Thesis Advisor(s): Wash, Carlyle H. Second Reader: Durkee, Philip A. "June 1990." Description based on title screen as viewed on October 15, 2009. DTIC Identifier(s): Cirrus Clouds, Satellite Meteorology, Theses, Split Window Techniques. Author(s) subject terms: Meteorology, Satellite Remote Sensing, Cirrus, Split-Window Technique. Includes bibliographical references (p. 47-48). Also available in print.
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Pfeifroth, Uwe Anton [Verfasser], Bodo [Akademischer Betreuer] [Gutachter] Ahrens, and Andreas [Gutachter] Fink. "The diurnal cycle of clouds and precipitation : an evaluation of multiple data sources / Uwe Anton Pfeifroth. Betreuer: Bodo Ahrens. Gutachter: Bodo Ahrens ; Andreas Fink." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2016. http://d-nb.info/1112601627/34.

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Pfeifroth, Uwe [Verfasser], Bodo [Akademischer Betreuer] [Gutachter] Ahrens, and Andreas [Gutachter] Fink. "The diurnal cycle of clouds and precipitation : an evaluation of multiple data sources / Uwe Anton Pfeifroth. Betreuer: Bodo Ahrens. Gutachter: Bodo Ahrens ; Andreas Fink." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2016. http://nbn-resolving.de/urn:nbn:de:hebis:30:3-414318.

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Schmidt, Jörg. "Dual-field-of-view Raman lidar measurements of cloud microphysical properties." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-150408.

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Im Rahmen der vorliegenden Arbeit wurde eine neuartige Lidartechnik in ein leistungsstarkes Lidar-System implementiert. Mit Hilfe des realisierten Aufbaus wurden Aerosol-Wolken-Wechselwirkungen in Flüssigwasserwolken über Leipzig untersucht. Die angewandte Messmethode beruht auf der Detektion von Licht, das an Wolkentröpfchen mehrfach in Vorwärtsrichtung gestreut und an Stickstoffmolekülen inelastisch zurückgestreut wurde. Dabei werden zwei Gesichtsfelder unterschiedlicher Größe verwendet. Ein Vorwärtsiterations-Algorithmus nutzt die gewonnenen Informationen zur Ermittlung von Profilen wolkenmikrophysikalischer Eigenschaften. Es können der Extinktionskoeffizient, der effektive Tröpfchenradius, der Flüssigwassergehalt sowie die Tröpfchenanzahlkonzentration bestimmt werden. Weiterhin wird die exakte Erfassung der Wolkenunterkantenhöhe durchdie eingesetzte Messtechnik ermöglicht. Darüber hinaus ist die Bestimmung von Aerosoleigenschaften mit dem eingesetzten Lidargerät möglich. Die Qualität des realisierten Messaufbaus wurde geprüft und eine Fehleranalyse durchgeführt. Unter anderem wurde der aus einer Wolkenmessung bestimmte Flüssigwassergehalt mit einem Mikrowellen-Radiometer bestätigt. Anhand von Fallbeispielen konnte das Potential dieser Messtechnik demonstriert werden. Die Bedeutung von Profilinformationen von Wolkeneigenschaften für die Untersuchung von Aerosol-Wolken-Wechselwirkungen wurde gezeigt. Weiterhin wurde mit Hilfe eines Doppler-Windlidars der Einfluss der Vertikalwindgeschwindigkeit auf Wolkeneigenschaften und damit Aerosol-Wolken-Wechselwirkungen verdeutlicht. Neunundzwanzig Wolkenmessungen wurden für eine statistische Auswertung bezüglich Aerosol-Wolken-Wechselwirkungen genutzt. Dabei konnte erstmalig die Abhängigkeit von Aerosol-Wolken-Wechselwirkungen von der Wolkeneindringtiefe untersucht werden. Es wurde festgestellt, dass diese auf die untersten 70m von Wolken beschränkt sind. Weiterhin wurden deutlich stärkere Aerosol-Wolken-Wechselwirkungen in Wolkengebieten festgestellt, die von Aufwinden dominiert werden. Für der Quantifizierung der Stärke von Aerosol-Wolken-Wechselwirkungen wurden ACIN-Werte genutzt, welche den Zusammenhang zwischen der Tröpfchenanzahlkonzentration und dem Aerosol-Extinktionskoeffizienten beschreiben. Dabei wurde zwischen der Untersuchung der entsprechenden mikrophysikalischen Prozesse und deren Bedeutung für die Wolkenalbedo und damit dem Strahlungsantrieb der Wolken unterschieden. Für die erstgenannte Zielstellung wurde ein ACIN-Wert von 0.80 +/- 0.40 ermittelt, für Letztere 0.13 +/- 0.07.
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Kjellén, Kevin. "Point Cloud Registration in Augmented Reality using the Microsoft HoloLens." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148901.

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When a Time-of-Flight (ToF) depth camera is used to monitor a region of interest, it has to be mounted correctly and have information regarding its position. Manual configuration currently require managing captured 3D ToF data in a 2D environment, which limits the user and might give rise to errors due to misinterpretation of the data. This thesis investigates if a real time 3D reconstruction mesh from a Microsoft HoloLens can be used as a target for point cloud registration using the ToF data, thus configuring the camera autonomously. Three registration algorithms, Fast Global Registration (FGR), Joint Registration Multiple Point Clouds (JR-MPC) and Prerejective RANSAC, were evaluated for this purpose. It was concluded that despite using different sensors it is possible to perform accurate registration. Also, it was shown that the registration can be done accurately within a reasonable time, compared with the inherent time to perform 3D reconstruction on the Hololens. All algorithms could solve the problem, but it was concluded that FGR provided the most satisfying results, though requiring several constraints on the data.
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Delgado, Donate Eduardo Juan. "Multiple star formation in molecular cloud cores." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615675.

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Sellami, Rami. "Supporting multiple data stores based applications in cloud environments." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLL002/document.

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Avec l’avènement du cloud computing et des big data, de nouveaux systèmes de gestion de bases de données sont apparus, connus en général sous le vocable systèmes NoSQL. Par rapport aux systèmes relationnels, ces systèmes se distinguent par leur absence de schéma, une spécialisation pour des types de données particuliers (documents, graphes, clé/valeur et colonne) et l’absence de langages de requêtes déclaratifs. L’offre est assez pléthorique et il n’y a pas de standard aujourd’hui comme peut l’être SQL pour les systèmes relationnels. De nombreuses applications peuvent avoir besoin de manipuler en même temps des données stockées dans des systèmes relationnels et dans des systèmes NoSQL. Le programmeur doit alors gérer deux (au moins) modèles de données différents et deux (au moins) langages de requêtes différents pour pouvoir écrire son application. De plus, il doit gérer explicitement tout son cycle de vie. En effet, il a à (1) coder son application, (2) découvrir les services de base de données déployés dans chaque environnement Cloud et choisir son environnement de déploiement, (3) déployer son application, (4) exécuter des requêtes multi-sources en les programmant explicitement dans son application, et enfin le cas échéant (5) migrer son application d’un environnement Cloud à un autre. Toutes ces tâches sont lourdes et fastidieuses et le programmeur risque d’être perdu dans ce haut niveau d’hétérogénéité. Afin de pallier ces problèmes et aider le programmeur tout au long du cycle de vie des applications utilisant des bases de données multiples, nous proposons un ensemble cohérent de modèles, d’algorithmes et d’outils. En effet, notre travail dans ce manuscrit de thèse se présente sous forme de quatre contributions. Tout d’abord, nous proposons un modèle de données unifié pour couvrir l’hétérogénéité entre les modèles de données relationnelles et NoSQL. Ce modèle de données est enrichi avec un ensemble de règles de raffinement. En se basant sur ce modèle, nous avons défini notre algèbre de requêtes. Ensuite, nous proposons une interface de programmation appelée ODBAPI basée sur notre modèle de données unifié, qui nous permet de manipuler de manière uniforme n’importe quelle source de données qu’elle soit relationnelle ou NoSQL. ODBAPI permet de programmer des applications indépendamment des bases de données utilisées et d’exprimer des requêtes simples et complexes multi-sources. Puis, nous définissons la notion de bases de données virtuelles qui interviennent comme des médiateurs et interagissent avec les bases de données intégrées via ODBAPI. Ce dernier joue alors le rôle d’adaptateur. Les bases de données virtuelles assurent l’exécution des requêtes d’une façon optimale grâce à un modèle de coût et un algorithme de génération de plan d’exécution optimal que nous définis. Enfin, nous proposons une approche automatique de découverte de bases de données dans des environnements Cloud. En effet, les programmeurs peuvent décrire leurs exigences en termes de bases de données dans des manifestes, et grâce à notre algorithme d’appariement, nous sélectionnons l’environnement le plus adéquat à notre application pour la déployer. Ainsi, nous déployons l’application en utilisant une API générique de déploiement appelée COAPS. Nous avons étendue cette dernière pour pouvoir déployer les applications utilisant plusieurs sources de données. Un prototype de la solution proposée a été développé et mis en œuvre dans des cas d'utilisation du projet OpenPaaS. Nous avons également effectué diverses expériences pour tester l'efficacité et la précision de nos contributions<br>The production of huge amount of data and the emergence of Cloud computing have introduced new requirements for data management. Many applications need to interact with several heterogeneous data stores depending on the type of data they have to manage: traditional data types, documents, graph data from social networks, simple key-value data, etc. Interacting with heterogeneous data models via different APIs, and multiple data stores based applications imposes challenging tasks to their developers. Indeed, programmers have to be familiar with different APIs. In addition, the execution of complex queries over heterogeneous data models cannot, currently, be achieved in a declarative way as it is used to be with mono-data store application, and therefore requires extra implementation efforts. Moreover, developers need to master and deal with the complex processes of Cloud discovery, and application deployment and execution. In this manuscript, we propose an integrated set of models, algorithms and tools aiming at alleviating developers task for developing, deploying and migrating multiple data stores applications in cloud environments. Our approach focuses mainly on three points. First, we provide a unified data model used by applications developers to interact with heterogeneous relational and NoSQL data stores. This model is enriched by a set of refinement rules. Based on that, we define our query algebra. Developers express queries using OPEN-PaaS-DataBase API (ODBAPI), a unique REST API allowing programmers to write their applications code independently of the target data stores. Second, we propose virtual data stores, which act as a mediator and interact with integrated data stores wrapped by ODBAPI. This run-time component supports the execution of single and complex queries over heterogeneous data stores. It implements a cost model to optimally execute queries and a dynamic programming based algorithm to generate an optimal query execution plan. Finally, we present a declarative approach that enables to lighten the burden of the tedious and non-standard tasks of (1) discovering relevant Cloud environments and (2) deploying applications on them while letting developers to simply focus on specifying their storage and computing requirements. A prototype of the proposed solution has been developed and implemented use cases from the OpenPaaS project. We also performed different experiments to test the efficiency and accuracy of our proposals
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Books on the topic "Multiple Clouds"

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Dwyer, Pat. Bright clouds. Guajira Publications, 2004.

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Dwyer, Pat. Bright clouds. Guajira Publications, 2004.

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M, Welch Ronald, and United States. National Aeronautics and Space Administration., eds. Global single and multiple cloud classification with a fuzzy logic expert system. National Aeronautics and Space Administration, 1996.

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M, Welch Ronald, and United States. National Aeronautics and Space Administration., eds. Global single and multiple cloud classification with a fuzzy logic expert system. National Aeronautics and Space Administration, 1996.

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Doerr, Anthony. Cloud Cuckoo Land: A novel. Scribner, 2021.

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Bright clouds. Guajira Publications, 2004.

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Heads in the Clouds: A Romantic Comedy Anthology. Wine Later Press, 2024.

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Doerr, Anthony. Cloud Cuckoo Land. HarperCollins Publishers Limited, 2023.

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Doerr, Anthony. Cloud Cuckoo Land. HarperCollins Publishers Limited, 2021.

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Doerr, Anthony. Cloud Cuckoo Land. HarperCollins Publishers Limited, 2021.

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Book chapters on the topic "Multiple Clouds"

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Marcinkiewicz, Błażej, and Jacek Raczkowski. "Multiple Scattering in Cumulus Clouds." In Computer Vision and Graphics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11331-9_7.

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Kaptein, Rianne, and Jaap Kamps. "Word Clouds of Multiple Search Results." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21353-3_7.

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Habib, Md Rawshan, W. M. H. Nimsara Warnasuriya, Md Mobusshar Islam, et al. "An Alternative Approach to Smart Air Conditioner with Multiple Power Sources." In Expert Clouds and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1745-7_26.

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Saritha, K., and B. Manorama Devi. "Collaborative Cloud Computing for Resource Sharing Platform in Multiple Clouds." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46943-6_7.

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Celesti, Antonio, Anna Levin, Philippe Massonet, Liran Schour, and Massimo Villari. "Federated Networking Services in Multiple OpenStack Clouds." In Communications in Computer and Information Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33313-7_26.

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Sandobalin, J., E. Insfran, and S. Abrahao. "Towards Model-Driven Infrastructure Provisioning for Multiple Clouds." In Lecture Notes in Information Systems and Organisation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22993-1_12.

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Zhang, La, Qingzhong Li, Yuliang Shi, Lin Li, and Wenxiao He. "An Integrity Verification Scheme for Multiple Replicas in Clouds." In Web Information Systems and Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33469-6_36.

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Li, Jingwei, Dan Lin, Anna Squicciarini, and Chunfu Jia. "STRE: Privacy-Preserving Storage and Retrieval over Multiple Clouds." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23829-6_3.

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Haque, Aminul, Saadat M. Alhashmi, and Rajendran Parthiban. "An Inspiration for Solving Grid Resource Management Problems Using Multiple Economic Models." In Economics of Grids, Clouds, Systems, and Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28675-9_1.

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Entrialgo, Joaquín, José Luis Díaz, Javier García, Manuel García, and Daniel F. García. "Cost Minimization of Virtual Machine Allocation in Public Clouds Considering Multiple Applications." In Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68066-8_12.

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Conference papers on the topic "Multiple Clouds"

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Dao, Tuyet Van, Tran Văn Huy, Ngo Nguyen Khoi, et al. "Nonlinear fusion of multiple efficient manifold rankings in content-based medical image retrieval." In International Symposium on Grids & Clouds (ISGC) 2024. Sissa Medialab, 2024. http://dx.doi.org/10.22323/1.458.0002.

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Jin, David, Sushrut Karmalkar, Harry Zhang, and Luca Carlone. "Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610926.

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Carswell, A. I., and S. R. Pal. "Polarization Anisotropy in Lidar Multiple Scattering from Atmospheric Clouds." In Optical Remote Sensing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tuc15.

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The use of polarization information in lidar measurements of the atmosphere, has proven to be a very useful technique, particularly for cloud diagnostics.1 The backscattering of liquid water droplets has very different polarization characteristics from the backscattering of ice crystals, and in many situations it is possible to use the polarization signatures to discriminate between ice and water in atmospheric clouds. Also of considerable importance is the utilization of lidar polarization information for separating the contributions of single and multiple scattering in water droplet clouds. When such clouds of perfectly spherical scatterers are illuminated by linearly polarized radiation, the single scattering in the backward direction, retains the linear polarization of the incident beam, while the multiple scattering introduces a cross-polarized component. (We designate the parallel and cross-polarized components as I‖ and I⊥ respectively). Because the I⊥ component can only arise from the multiple scattering process, observation of the polization components provides a direct measure of the multiple scattering taking place in the cloud. Since most lidar analyses assume that only single scattering is occurring, the ability to quantitatively detect the presence of multiple scattering is extremely valuable in most cloud lidar investigations. As a result lidar systems have been designed to permit such measurements. In the lidar systems, the polarization measurement is performed on the backscattered laser radiation which falls within the field of view of the lidar receiver. Implicit in the polarization measurement is the assumption that the polarization state is uniform within the field of view and that the measured properties reflect the polarization state of the entire scattering volume viewed by the receiver.
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Jensen, Meiko, Jorg Schwenk, Jens-Matthias Bohli, Nils Gruschka, and Luigi Lo Iacono. "Security Prospects through Cloud Computing by Adopting Multiple Clouds." In 2011 IEEE 4th International Conference on Cloud Computing (CLOUD). IEEE, 2011. http://dx.doi.org/10.1109/cloud.2011.85.

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von Laszewski, Gregor, Fugang Wang, Hyungro Lee, Heng Chen, and Geoffrey C. Fox. "Accessing multiple clouds with cloudmesh." In the 2014 ACM international workshop. ACM Press, 2014. http://dx.doi.org/10.1145/2609441.2609638.

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Alqahtani, Hassan Saad, and Paul Sant. "Multiple-Clouds Computing Security Approaches." In ICC '16: International Conference on Internet of things and Cloud Computing. ACM, 2016. http://dx.doi.org/10.1145/2896387.2896411.

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Sahni, Shashank, and Vasudeva Varma. "MultiPaaS - PaaS on Multiple Clouds." In 2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM). IEEE, 2014. http://dx.doi.org/10.1109/ccem.2014.7015492.

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Zege, Eleonora P., and Aleksey V. Malinka. "Analytical modeling of Raman lidar return from clouds and ocean including multiple scattering." In Lidar Multiple Scattering Experiments, edited by Christian Werner, Ulrich G. Oppel, and Tom Rother. SPIE, 2003. http://dx.doi.org/10.1117/12.512566.

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Matveev, Artem. "Cost-Efficient Data Privacy Protection in Multi Cloud Storage." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120706.

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Data privacy in the cloud is a big concern for all of its users, especially for public clouds. Modern trends in studies utilise multiple clouds to achieve data privacy protection. Most of the present studies focus on business-oriented solutions, but current study aims to create a solution for individual users which would not increase the cost of ownership, and provide enough flexibility and privacy protection by combining password protection, key-derivation, multilayer encryption and key distribution across multiple clouds. New design allows to use single cloud to store protected user data, meanwhile use free plans on other clouds to store key information on others and thereby does not rise a cost of the solution. As a result, proposed design gives multiple layers of protection of Data Privacy while having a low cost of use. With some further adaptation it could be proposed as a business solution.
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Alaluna, Max, Fernando M. V. Ramos, and Nuno Neves. "(Literally) Above the clouds: Virtualizing the network over multiple clouds." In 2016 IEEE NetSoft Conference and Workshops (NetSoft). IEEE, 2016. http://dx.doi.org/10.1109/netsoft.2016.7502455.

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Reports on the topic "Multiple Clouds"

1

Hahn, Thomas. Multiple Scattering of Underwater Sound by Clouds of Suspended Scatterers. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada533041.

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Mungiole, Michael, and Alan Wetmore. COMBIC Modifications to Determine Aerosol Cloud Densities for Multiple Obscurant Input Sources. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada392771.

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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), 2016. http://dx.doi.org/10.2172/1294258.

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Sassen, K. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6955485.

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Trishchenko, A. P., Z. Li, and F. L. Chang. Cloud optical depths and TOA fluxes: Comparison between satellite and surface retrievals from multiple platforms. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219748.

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Thomson, Ewen M. Location and Characterization of In-Cloud Lightning Currents by Multiple Station VHF and Electric Fields Measurements. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada264097.

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Thomson, Ewen M. The Physical Origin of In-Cloud Lightning Processes Determined from Multiple-Station Wideband Electric Field Research. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada340207.

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Sassen, K. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development. Final technical report. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10105834.

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Sassen, K. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development. Technical progress report. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10183917.

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Kleespies, Thomas J. Retrieval of Cloud Parameters by Multiple Observations in The Near- Infrared under Conditions of Varying Solar Illumination. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada264180.

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