Academic literature on the topic 'CloudMe'

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Journal articles on the topic "CloudMe"

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Teing, Yee-Yang, Ali Dehghantanha, and Kim-Kwang Raymond Choo. "CloudMe forensics: A case of big data forensic investigation." Concurrency and Computation: Practice and Experience 30, no. 5 (2017): e4277. http://dx.doi.org/10.1002/cpe.4277.

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Ferry, Nicolas, Franck Chauvel, Hui Song, Alessandro Rossini, Maksym Lushpenko, and Arnor Solberg. "CloudMF." ACM Transactions on Internet Technology 18, no. 2 (2018): 1–24. http://dx.doi.org/10.1145/3125621.

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Wang, P., and P. Stammes. "Evaluation of SCIAMACHY Oxygen A band cloud heights using Cloudnet measurements." Atmospheric Measurement Techniques 7, no. 5 (2014): 1331–50. http://dx.doi.org/10.5194/amt-7-1331-2014.

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Abstract. Two SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) O2 A band cloud height products are evaluated using ground-based radar/lidar measurements between January 2003 and December 2011. The products are the ESA (European Space Agency) Level 2 (L2) version 5.02 cloud top height and the FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A band) version 6 cloud height. The radar/lidar profiles are obtained at the Cloudnet sites of Cabauw and Lindenberg, and are averaged for 1 h centered at the SCIAMACHY overpass time. In total we have 217 cases of sin
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Wang, P., and P. Stammes. "Validation of SCIAMACHY O<sub>2</sub> A band cloud heights using Cloudnet radar/lidar measurements." Atmospheric Measurement Techniques Discussions 6, no. 5 (2013): 8603–45. http://dx.doi.org/10.5194/amtd-6-8603-2013.

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Abstract. For the first time two SCIAMACHY O2 A band cloud height products are validated using ground-based radar/lidar measurements between January 2003 and December 2011. The products are the ESA Level 2 (L2) version 5.02 cloud top height and the FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A band) version 6 cloud height. The radar/lidar profiles are obtained at the Cloudnet sites of Cabauw and Lindenberg, and are averaged for one hour centered at the SCIAMACHY overpass time to achieve an optimal temporal and spatial match. In total we have about 220 cases of single layer clouds
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Baciu, George, Chenhui Li, Yunzhe Wang, and Xiujun Zhang. "Cloudet." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 1 (2016): 12–31. http://dx.doi.org/10.4018/ijcini.2016010102.

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Streaming data cognition has become a dominant problem in interactive visual analytics for event detection, meteorology, cosmology, security, and smart city applications. In order to interact with streaming data patterns in an elastic cloud environment, we present a new elastic framework for big data visual analytics in the cloud, the Cloudet. The Cloudet is a self-adaptive cloud-based platform that treats both data and compute nodes as elastic objects. The main objective is to readily achieve the scalability and elasticity of cloud computing platforms in order to process large streaming data
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Zou, Tao, Ronan Le Bras, Marcos Vaz Salles, Alan Demers, and Johannes Gehrke. "ClouDiA." Proceedings of the VLDB Endowment 6, no. 2 (2012): 121–32. http://dx.doi.org/10.14778/2535568.2448945.

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Wood, Timothy, K. K. Ramakrishnan, Prashant Shenoy, and Jacobus van der Merwe. "CloudNet." ACM SIGPLAN Notices 46, no. 7 (2011): 121–32. http://dx.doi.org/10.1145/2007477.1952699.

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Vestin, Jonathan, Peter Dely, Andreas Kassler, Nico Bayer, Hans Einsiedler, and Christoph Peylo. "CloudMAC." ACM SIGMOBILE Mobile Computing and Communications Review 16, no. 4 (2013): 42–45. http://dx.doi.org/10.1145/2436196.2436217.

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Illingworth, A. J., R. J. Hogan, E. J. O'Connor, et al. "Cloudnet." Bulletin of the American Meteorological Society 88, no. 6 (2007): 883–98. http://dx.doi.org/10.1175/bams-88-6-883.

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The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there ar
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Compernolle, Steven, Athina Argyrouli, Ronny Lutz, et al. "Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS." Atmospheric Measurement Techniques 14, no. 3 (2021): 2451–76. http://dx.doi.org/10.5194/amt-14-2451-2021.

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Abstract. Accurate knowledge of cloud properties is essential to the measurement of atmospheric composition from space. In this work we assess the quality of the cloud data from three Copernicus Sentinel-5 Precursor (S5P) TROPOMI cloud products: (i) S5P OCRA/ROCINN_CAL (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks;Clouds-As-Layers), (ii) S5P OCRA/ROCINN_CRB (Clouds-as-Reflecting Boundaries), and (iii) S5P FRESCO-S (Fast Retrieval Scheme for Clouds from Oxygen absorption bands – Sentinel). Target properties of this work are cloud-top height and cloud
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Dissertations / Theses on the topic "CloudMe"

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Velusamy, Chandramohan Pavithra. "Intergration of CloudMe to Sonos wireless HiFi speaker system." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105177.

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CloudMe is a cloud computing service used for business and home users. CloudMe facilitates the user to store their personal files like music, video, documents and images. The primary focus of this thesis is on music. The personal music files can be uploaded to CloudMe manually or by using CloudMe sync in any order just like in personal computer. CloudMe offers different services to access the cloud from other devices like smart phones, web browser and the home computer.   Sonos wireless HiFi system is a set of Sonos component interconnected with the mesh network with the primary function to pl
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Nielsen, Simon, and Robin Karlsson. "Implementing a Synchronization Application for Cloud Computing." Thesis, Linköpings universitet, Programvara och system, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81366.

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This report describes a bachelor thesis performed at Xcerion for their subsidiary CloudMe. CloudMe has a service for cloud computing which makes your files accessible from anywhere, anytime. Cloud computing is addressed to both business and ordinary home users. With the ability to store important documents or family photos in the cloud other important subjects can be focused on. A cloud can in short be described as a metaphor for the internet and with the growing server houses and accessibility of cloud computing the need for USB-sticks (Universal Serial Bus) and hard drives are slowly fading
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Ovtchinnikov, Mikhail. "An investigation of ice production mechanisms using a 3-D cloud model with explicit microphysics /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1997.

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Šťastný, Jan. "Řízení projektů v cloudu." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193783.

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Goal of this thesis is to provide a summary of information connected to cloud project management. The thesis describes, what cloud is, what types of cloud there are and also describes project management methodologies and their specifics. In the practical part of this thesis one of the methodologies is applied to a practical project. The thesis contains also a summary of practical information about cloud projects and risks associated with cloud projects.
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Hou, Zhijun. "Efficient Data Access in Cloudlet-based Mobile Cloud Computing." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37982.

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The growth in mobile devices and applications has leveraged the emergence of mobile cloud computing, which allows the access to services at any place and extends mobile computing. Usually, the current mobile network consists of a restricting factor in supporting such access because, from a global perspective, cloud servers are distant from most mobile users, which introduces signi cant latency and results in considerably delays on applications in mobile devices. On the other hand, Cloudlet are usually on the edge of Mobile Networks and can serve content to mobile users with high availability a
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Agrawal, Harsh. "CloudCV: Deep Learning and Computer Vision on the Cloud." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71381.

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We are witnessing a proliferation of massive visual data. Visual content is arguably the fastest growing data on the web. Photo-sharing websites like Flickr and Facebook now host more than 6 and 90 billion photos, respectively. Unfortunately, scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic and infrastructural problems. Designing and implementing efficient and provably correct computer vision algorithms is extremely challenging. Researchers must repeatedly solve the same low-level problems: building and maintaining a clust
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Brooks, Christopher David. "Underwater Clouds Utilizing Private Cloud Architecture Aboard U.S. Submarines." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/7312.

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The Consolidated Afloat Network and Enterprise Systems (CANES) program was tasked with replacing computer networks afloat, to both improve productivity and functionality of the fleets Information Technology infrastructure. The program, in its first iteration, fails to include half the ships currently in service and is limited to a small number of specific platforms. Upgrading the existing software on the current platforms may pose a useful resolution to this issue. The computer networks on board submarines provide a good opportunity to explore how cloud computing could benefit older platforms.
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Djiken, Guy Lahlou. "La mobilité du code dans les systèmes embarqués." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1112/document.

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Avec l’avènement du nomadisme, des périphériques mobiles, de la virtualisation et du Cloud Computing ces dernières années, de nouvelles problématiques sont nées aux vues des considérations écologiques, de la gestion d’énergie, de la qualité de service, des normes sécuritaires et bien d’autres aspects liés à nos sociétés. Pour apporter une solution à ces problèmes, nous avons défini la notion de Cloudlet tel un Cloud local où peuvent se virtualiser des périphériques et ses applications embarquées. Ensuite, nous avons conçu une architecture distribuée basée sur ce pattern d’architecture lié au C
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Ng, Alexander CB. "Decision Modelling and Optimization for Enterprise Migration to Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31719.

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Many enterprises are currently exploring the possibility of migrating some or all of their IT functionalities to public clouds with the objective of reducing their overall IT service costs or to open new business frontiers. Unfortunately, making such a decision is not a straightforward task; it requires a vigorous evaluation of the various benefits, risks and costs associated with the migration of their diverse business processes that comprise of their current IT services. Yet, this problem has received very little attention in the literature, mainly due to its interdisciplinary nature. This
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Szczodrak, Malgorzata. "Variability of cloud optical depth and cloud droplet effective radius in layer clouds : satellite based analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0019/NQ27255.pdf.

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Books on the topic "CloudMe"

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Vorobʹev, V. I. Makrostruktura oblachnogo pokrova severnogo polusharii͡a︡. Izd-vo Leningradskogo universiteta, 1990.

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Youn, Chan-Hyun, Min Chen, and Patrizio Dazzi. Cloud Broker and Cloudlet for Workflow Scheduling. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5071-8.

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Waschke, Marvin. Cloud standards: Agreements that hold together clouds. CA Press, 2012.

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Berger, Franz Herbert. Die Bestimmung des Einflusses von hohen Wolken auf das Strahlungsfeld und auf das Klima durch Analyse von NOAA AVHRR-Daten: (DK551.501.776 ...). D. Reimer, 1992.

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Harper, Suzanne. Clouds: From mare's tails to thunderheads. Franklin Watts, 1997.

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Lawrence, Ellen. What are clouds? Bearport Pub., 2012.

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Shmeter, S. M. Termodinamika i fizika konvektivnykh oblakov. Gidrometeoizdat, 1987.

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Auvine, Brian. Lightning data study in conjunction with geostationary satellite data. George C. Marshall Space Flight Center, 1987.

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International Conference on Clouds and Precipitation (11th 1992 Montréal, Québec). Proceedings: 11th International Conference on Clouds and Precipitation = 11ème Conférence Internationales sur les nuages et les précipitations. s.n., 1992.

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Hallett, John. Replicator for characterization of cirrus and polar stratospheric cloud particles: Final report, NASA grant no. NAG 2-663. National Aeronautics and Space Administration, 1995.

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Book chapters on the topic "CloudMe"

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Slingo, A. "Clouds, Cloud Observations and Cloud Feedbacks." In Remote Sensing and Global Climate Change. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79287-8_12.

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Veikherman, Dmitry, Amit Aides, Yoav Y. Schechner, and Aviad Levis. "Clouds in the Cloud." In Computer Vision -- ACCV 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16817-3_43.

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Sulistio, Anthony, Christoph Reich, and Frank Doelitzscher. "Cloud Infrastructure & Applications – CloudIA." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10665-1_56.

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Morcrette, J. J., CH Jakob, and J. Teixeira. "Clouds and Cloud Water Prediction." In Numerical Modeling of the Global Atmosphere in the Climate System. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4046-1_10.

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Chard, Kyle, and Simon Caton. "Social Clouds: Crowdsourcing Cloud Infrastructure." In Progress in IS. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47011-4_11.

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Kang, Jaeyong, and Kwang Mong Sim. "Cloudle: An Ontology-Enhanced Cloud Service Search Engine." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24396-7_33.

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Rossow, William B. "Properties of Clouds and Cloud Systems." In Radiation and Water in the Climate System. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03289-3_9.

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Comer, Douglas E. "Types Of Clouds And Cloud Providers." In The Cloud Computing Book. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003147503-4.

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Malkus, Joanne. "Morphology of Precipitation Clouds and Cloud Systems." In Geophysical Monograph Series. American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm005p0031.

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Goundar, Sam. "Cloud Computing: Understanding the Technology before Getting “Clouded”." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28798-5_30.

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Conference papers on the topic "CloudMe"

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Li, Ang, Xiaowei Yang, Srikanth Kandula, and Ming Zhang. "CloudCmp." In the 10th annual conference. ACM Press, 2010. http://dx.doi.org/10.1145/1879141.1879143.

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Ibrahim, Shadi, Hai Jin, Bin Cheng, Haijun Cao, Song Wu, and Li Qi. "CLOUDLET." In the 18th ACM international symposium. ACM Press, 2009. http://dx.doi.org/10.1145/1551609.1551624.

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Zhang, Wenxiao, Sikun Lin, Farshid Hassani Bijarbooneh, Hao Fei Cheng, and Pan Hui. "CloudAR." In the. ACM Press, 2017. http://dx.doi.org/10.1145/3126686.3126739.

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Wood, Timothy, K. K. Ramakrishnan, Prashant Shenoy, and Jacobus van der Merwe. "CloudNet." In the 7th ACM SIGPLAN/SIGOPS international conference. ACM Press, 2011. http://dx.doi.org/10.1145/1952682.1952699.

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Chen, Ping, Dongyan Xu, and Bing Mao. "CloudER." In the 7th ACM Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2414456.2414485.

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Bhaumik, Sourjya, Shoban Preeth Chandrabose, Manjunath Kashyap Jataprolu, et al. "CloudIQ." In the 18th annual international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2348543.2348561.

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Vestin, Jonathan, Peter Dely, Andreas Kassler, Nico Bayer, Hans Einsiedler, and Christoph Peylo. "CloudMAC." In the 18th annual international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2348543.2348592.

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Kämäräinen, Teemu, Matti Siekkinen, Jukka Eerikäinen, and Antti Ylä-Jääski. "CloudVR." In MM '18: ACM Multimedia Conference. ACM, 2018. http://dx.doi.org/10.1145/3240508.3240620.

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Ghalayini, Ahmad, Jinkun Geng, Vighnesh Sachidananda, et al. "CloudEx." In HotOS '21: Workshop on Hot Topics in Operating Systems. ACM, 2021. http://dx.doi.org/10.1145/3458336.3465278.

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Gong, Shengjie, and Kwang Mong Sim. "CB-Cloudle and cloud crawlers." In 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2014. http://dx.doi.org/10.1109/icsess.2014.6933503.

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Reports on the topic "CloudMe"

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531259.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions In Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532783.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada541857.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575522.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574045.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557114.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada598037.

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Kogan, Yefim L. Midlatitude Aerosol-Cloud-Radiation Feedbacks in Marine Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532932.

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Kogan, Yefim L. Midlatitude Aerosol-Cloud-Radiation Feedbacks in Marine Boundary Layer Clouds. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada541931.

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Kogan, Yefim L. Midlatitude Aerosol-Cloud-Radiation Feedbacks in Marine Boundary Layer Clouds. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557145.

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