Relevant bibliographies by topics / Cloud models

Contents

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

Academic literature on the topic 'Cloud models'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Cloud models.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Cloud models"

1

Tjernström, Michael, Joseph Sedlar, and Matthew D. Shupe. "How Well Do Regional Climate Models Reproduce Radiation and Clouds in the Arctic? An Evaluation of ARCMIP Simulations." Journal of Applied Meteorology and Climatology 47, no. 9 (2008): 2405–22. http://dx.doi.org/10.1175/2008jamc1845.1.

Full text
Abstract:
Abstract Downwelling radiation in six regional models from the Arctic Regional Climate Model Intercomparison (ARCMIP) project is systematically biased negative in comparison with observations from the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment, although the correlations with observations are relatively good. In this paper, links between model errors and the representation of clouds in these models are investigated. Although some modeled cloud properties, such as the cloud water paths, are reasonable in a climatological sense, the temporal correlation of model cloud properties w
APA, Harvard, Vancouver, ISO, and other styles
2

Grabowski, Wojciech W. "Representation of Turbulent Mixing and Buoyancy Reversal in Bulk Cloud Models." Journal of the Atmospheric Sciences 64, no. 10 (2007): 3666–80. http://dx.doi.org/10.1175/jas4047.1.

Full text
Abstract:
Abstract This paper discusses the representation of subgrid-scale turbulent mixing in bulk models of warm (ice free) clouds, which assume instantaneous adjustment to grid-scale saturation. This is a reasonable assumption for condensation of water vapor because supersaturations inside clouds are typically small (∼0.1% or smaller), except near cloud bases where about an order of magnitude larger supersaturations are anticipated. For the cloud evaporation, however, instantaneous adjustment to grid-scale saturation is questionable, especially when evaporation occurs as a result of turbulent mixing
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
4

Yu, Shanshan, Xiaozhou Xin, Hailong Zhang, Li Li, Lin Zhu, and Qinhuo Liu. "A Cloud Water Path-Based Model for Cloudy-Sky Downward Longwave Radiation Estimation from FY-4A Data." Remote Sensing 15, no. 23 (2023): 5531. http://dx.doi.org/10.3390/rs15235531.

Full text
Abstract:
Clouds are a critical factor in regulating the climate system, and estimating cloudy-sky Surface Downward Longwave Radiation (SDLR) from satellite data is significant for global climate change research. The models based on cloud water path (CWP) are less affected by cloud parameter uncertainties and have superior accuracy in SDLR satellite estimation when compared to those empirical and parameterized models relying mainly on cloud fraction or cloud-base temperature. However, existing CWP-based models tend to overestimate the low SDLR values and underestimate the larger SDLR. This study found t
APA, Harvard, Vancouver, ISO, and other styles
5

Mieslinger, Theresa, Bjorn Stevens, Tobias Kölling, Manfred Brath, Martin Wirth, and Stefan A. Buehler. "Optically thin clouds in the trades." Atmospheric Chemistry and Physics 22, no. 10 (2022): 6879–98. http://dx.doi.org/10.5194/acp-22-6879-2022.

Full text
Abstract:
Abstract. We develop a new method to describe the total cloud cover including optically thin clouds in trade wind cumulus cloud fields. Climate models and large eddy simulations commonly underestimate the cloud cover, while estimates from observations largely disagree on the cloud cover in the trades. Currently, trade wind clouds significantly contribute to the uncertainty in climate sensitivity estimates derived from model perturbation studies. To simulate clouds well, especially how they change in a future climate, we have to know how cloudy it is. In this study we develop a method to quanti
APA, Harvard, Vancouver, ISO, and other styles
6

Zhu, Ping, James J. Hack, and Jeffrey T. Kiehl. "Diagnosing Cloud Feedbacks in General Circulation Models." Journal of Climate 20, no. 11 (2007): 2602–22. http://dx.doi.org/10.1175/jcli4140.1.

Full text
Abstract:
Abstract In this study, it is shown that the NCAR and GFDL GCMs exhibit a marked difference in climate sensitivity of clouds and radiative fluxes in response to doubled CO2 and ±2-K SST perturbations. The GFDL model predicted a substantial decrease in cloud amount and an increase in cloud condensate in the warmer climate, but produced a much weaker change in net cloud radiative forcing (CRF) than the NCAR model. Using a multiple linear regression (MLR) method, the full-sky radiative flux change at the top of the atmosphere was successfully decomposed into individual components associated with
APA, Harvard, Vancouver, ISO, and other styles
7

Yuan, T. "Cloud macroscopic organization: order emerging from randomness." Atmospheric Chemistry and Physics 11, no. 15 (2011): 7483–90. http://dx.doi.org/10.5194/acp-11-7483-2011.

Full text
Abstract:
Abstract. Clouds play a central role in many aspects of the climate system and their forms and shapes are remarkably diverse. Appropriate representation of clouds in climate models is a major challenge because cloud processes span at least eight orders of magnitude in spatial scales. Here we show that there exists order in cloud size distribution of low-level clouds, and that it follows a power-law distribution with exponent γ close to 2. γ is insensitive to yearly variations in environmental conditions, but has regional variations and land-ocean contrasts. More importantly, we demonstrate thi
APA, Harvard, Vancouver, ISO, and other styles
8

Schulte, Richard M., Matthew D. Lebsock, and John M. Haynes. "What CloudSat cannot see: liquid water content profiles inferred from MODIS and CALIOP observations." Atmospheric Measurement Techniques 16, no. 14 (2023): 3531–46. http://dx.doi.org/10.5194/amt-16-3531-2023.

Full text
Abstract:
Abstract. Single-layer nonprecipitating warm clouds are integral to Earth's climate, and accurate estimates of cloud liquid water content for these clouds are critical for constraining cloud models and understanding climate feedbacks. As the only cloud-sensitive radar currently in space, CloudSat provides very important cloud-profiling capabilities. However, a significant fraction of clouds is missed by CloudSat because they are either too thin or too close to the Earth's surface. We find that the CloudSat Radar-Visible Optical Depth Cloud Water Content Product, 2B-CWC-RVOD, misses about 73 %
APA, Harvard, Vancouver, ISO, and other styles
9

Yuan, T. "Cloud macroscopic organization: order emerging from randomness." Atmospheric Chemistry and Physics Discussions 11, no. 1 (2011): 1105–19. http://dx.doi.org/10.5194/acpd-11-1105-2011.

Full text
Abstract:
Abstract. Clouds play a central role in many aspects of the climate system and their forms and shapes are remarkably diverse. Appropriate representation of clouds in climate models is a major challenge because cloud processes span at least eight orders of magnitude in spatial scales. Here we show that there exists order in cloud size distribution of low-level clouds and it follows a power-law distribution with exponent γ close to 2. γ is insensitive to yearly variations in environmental conditions, but has regional variations and land-ocean contrasts. More importantly, we demonstrate this self
APA, Harvard, Vancouver, ISO, and other styles
10

Wolf, Kevin, Evelyn Jäkel, André Ehrlich, et al. "Impact of stratiform liquid water clouds on vegetation albedo quantified by coupling an atmosphere and a vegetation radiative transfer model." Biogeosciences 22, no. 12 (2025): 2909–33. https://doi.org/10.5194/bg-22-2909-2025.

Full text
Abstract:
Abstract. This paper investigates the influence of clouds on vegetation albedo. For this purpose, we use coupled atmosphere–vegetation radiative transfer (RT) simulations combining the library for Radiative Transfer (libRadtran) and the vegetation Soil Canopy Observation of Photosynthesis and Energy fluxes (SCOPE2.0) model. Both models are iteratively linked to more realistically simulate cloud–vegetation–radiation interactions above three types of canopy, represented by the spherical, erectophile, and planophile leaf angle distributions. The coupled models are applied to simulate solar, spect
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Cloud models"

1

Gorelik, Eugene. "Cloud computing models." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79811.

Full text
Abstract:
Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-80).<br>Information Technology has always been considered a major pain point of enterprise organizations, from the perspectives of both cost and management. However, the information technology industry has experienced a dramatic shift in the past decade - factors such as hardware commoditization, open-source software, virtualization, workforce globalization, and agile IT processes have supp
APA, Harvard, Vancouver, ISO, and other styles
2

Barahona, Donifan. "On the representation of aerosol-cloud interactions in atmospheric models." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/41169.

Full text
Abstract:
Anthropogenic atmospheric aerosols (suspended particulate matter) can modify the radiative balance (and climate) of the Earth by altering the properties and global distribution of clouds. Current climate models however cannot adequately account for many important aspects of these aerosol-cloud interactions, ultimately leading to a large uncertainty in the estimation of the magnitude of the effect of aerosols on climate. This thesis focuses on the development of physically-based descriptions of aerosol-cloud processes in climate models that help to address some of such predictive uncertainty. I
APA, Harvard, Vancouver, ISO, and other styles
3

Farrington, Robert. "Testing mixed phase cloud parametrizations through confronting models with in-situ observations." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/testing-mixed-phase-cloud-parametrizations-through-confronting-models-with-insitu-observations(e2b7e31b-fa4a-4501-9f30-2ca2452c58fa).html.

Full text
Abstract:
Accurate representations of clouds are required in large-scale weather and climate models to make detailed and precise predictions of the Earth's weather and climate. Representations of clouds within these models are limited by the present understanding of the role of aerosols in the microphysical processes responsible for cloud formation and development. As part of a NERC funded CASE studentship with the Met Office, this thesis aims to test new aerosol-dependent mixed-phase cloud parametrizations by obtaining extensive cloud microphysical measurements in-situ and comparing and contrasting the
APA, Harvard, Vancouver, ISO, and other styles
4

Upton, Nigel Keith. "Algorithmic solution of air-pollutant cloud models." Thesis, Cranfield University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304572.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Krikos, Alexis Christopher. "Disruptive technology business models in cloud computing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59255.

Full text
Abstract:
Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Cloud computing, a term whose origins have been in existence for more than a decade, has come into fruition due to technological capabilities and marketplace demands. Cloud computing can be defined as a scalable and flexible shared computing solution in which third-party suppliers use virtualization technologies to create and distribute computing resourc
APA, Harvard, Vancouver, ISO, and other styles
6

Medeiros, Brian Pacheco. "Cloud-climate interactions in general circulation models." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1428862971&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Teng, Fei. "Ressource Allocation and Schelduling Models for Cloud Computing." Phd thesis, Ecole Centrale Paris, 2011. http://tel.archives-ouvertes.fr/tel-00659303.

Full text
Abstract:
Cloud computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way in which hardware is designed and purchased. In this thesis, we reviewed the new cloud computing technologies, and indicated the main challenges for their development in future, among which resource management problem stands out and attracts our attention. Combining the current scheduling theories, we proposed cloud scheduling hierarchy to deal with different requirements of cloud services. From the
APA, Harvard, Vancouver, ISO, and other styles
8

Firozbakht, Farzad. "Cloud Computing Service Discovery Framework for IaaS and PaaS Models." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35595.

Full text
Abstract:
Cloud service discovery is a new challenge which requires a dedicated framework in order to approach it. Over the past few years, several methods and frameworks have been developed for cloud service discovery but they are mostly designed for all cloud computing models in general which are not optimal. The three cloud computing models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), each computing model has its own set of resources. Having one single discovery framework for all three is not very efficient and the implementatio
APA, Harvard, Vancouver, ISO, and other styles
9

Kawai, Hideaki. "Study on Marine Boundary Layer Clouds and Their Environment for Cloud Parameterizations in Global Climate Models." Kyoto University, 2017. http://hdl.handle.net/2433/226008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hohenegger, Cathy. "Dynamical analysis of atmospheric predictability in cloud-resolving models /." Zürich : ETH, 2006. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=16871.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Cloud models"

1

Mistry, Sajib, Athman Bouguettaya, and Hai Dong. Economic Models for Managing Cloud Services. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73876-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Shelby, Frisch, Randall David A, Schubert Wayne H, Environmental Technology Laboratory (Environmental Research Laboratories). Radar Meteorology Division, and Colorado State University. Dept. of Atmospheric Science, eds. Proceedings of the ETL/CSU Cloud-Related Process Modeling and Measurement Workshop, Boulder, Colorado, 23-25 October, 1995. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Environmental Technology Laboratory, Radar Meteorology Division, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

1955-, Emanuel Kerry A., and Raymond David J, eds. The representation of cumulus convection in numerical models. American Meteorological Society, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Shelton, Ted. Business Models for the Social Mobile Cloud. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118555910.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

American Institute of Chemical Engineers. Center for Chemical Process Safety., ed. Guidelines for use of vapor cloud dispersion models. 2nd ed. Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hanna, Steven R. Guidelines for use of vapor cloud dispersion models. Center for Chemical Process Safety of the American Institute of Chemical Engineers, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zak, J. Allen. Operational implications of a cloud model simulation of space shuttle exhaust clouds in different atmospheric conditions. Marshall Space Flight Center, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gupta, Punit, Mayank Kumar Goyal, Sudeshna Chakraborty, and Ahmed A. Elngar. Machine Learning and Optimization Models for Optimization in Cloud. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185376.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

H, Helsdon John, Farley Richard D, and George C. Marshall Space Flight Center., eds. A cloud, precipitation and electrification modeling effort for COHMEX. Institute of Atmospheric Sciences, South Dakota School of Mines and Technology, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ridge, Daniel. A candidate mesocale numerical cloud/precipitation model. Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Cloud models"

1

Perkins, R. J., N. A. Malik, and J. C. H. Fung. "Cloud Dispersion Models." In Advances in Turbulence IV. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1689-3_84.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Thanos, George, Eleni Agiatzidou, Costas Courcoubetis, and George D. Stamoulis. "Grid Business Models." In Grid and Cloud Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05193-7_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dimitrov, Vladimir. "Cloud Programming Models (MapReduce)." In Encyclopedia of Cloud Computing. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118821930.ch49.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Laatikainen, Gabriella, Arto Ojala, and Oleksiy Mazhelis. "Cloud Services Pricing Models." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39336-5_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Strømmen-Bakhtiar, Abbas, and Amir R. Razavi. "Cloud Computing Business Models." In Computer Communications and Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2236-4_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ghane, Dr Mehdi. "Cloud-Native Maturity Models." In Observability Engineering with Cilium. Apress, 2025. https://doi.org/10.1007/979-8-8688-1258-3_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kumar, Jitendra, Ashutosh Kumar Singh, Anand Mohan, and Rajkumar Buyya. "Time Series Models." In Machine Learning for Cloud Management. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003110101-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Patni, Sakshi, Deepika Saxena, and Ashutosh Kumar Singh. "Dynamic Resource Allocation Models." In Resource Management in Cloud Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83053-2_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sharma, Ritu, and Manu Sood. "Cloud SaaS: Models and Transformation." In Advances in Digital Image Processing and Information Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24055-3_31.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Evans, Brian. "3D Models from the Cloud." In Practical 3D Printers. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4393-9_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Cloud models"

1

Shan, Richard, and Tony Shan. "Enterprise LLMOps: Advancing Large Language Models Operations Practice." In 2024 IEEE Cloud Summit. IEEE, 2024. http://dx.doi.org/10.1109/cloud-summit61220.2024.00030.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Yang, Xi, Paulito Palmes, Saurabh Jha, et al. "SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration." In 2024 IEEE 17th International Conference on Cloud Computing (CLOUD). IEEE, 2024. http://dx.doi.org/10.1109/cloud62652.2024.00040.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Zichen, and Christopher Stewart. "Domain-Aware Model Training as a Service for Use-Inspired Models." In 2024 IEEE International Conference on Cloud Engineering (IC2E). IEEE, 2024. http://dx.doi.org/10.1109/ic2e61754.2024.00008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Meehan, Kevin, Francis McDermott, and Naomi Petropoulos. "Evaluating Automatic Transcription Models Utilising Cloud Platforms." In 2024 5th International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2024. https://doi.org/10.1109/icdabi63787.2024.10800465.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Reed, Jeremy L., Ali Tosun, Turgay Korkmaz, and Benjamin Topolosky. "IoT Device Classification in Edge-Cloud Models." In 2025 IEEE 10th International Conference on Smart Cloud (SmartCloud). IEEE, 2025. https://doi.org/10.1109/smartcloud66068.2025.00017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Velinova, Emilija, Valentin Cvetanoski, Kliment Chakarovski, Daniela Mechkaroska, and Ervin Domazet. "Cloud-Based AI Surveillance for Motion Detection and Facial Recognition." In 2025 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF). IEEE, 2025. https://doi.org/10.1109/aicconf64766.2025.11064180.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Di Rocco, Juri, Davide Di Ruscio, Amleto Di Salle, Damiano Di Vincenzo, Alfonso Pierantonio, and Giordano Tinella. "jjodel – A Reflective Cloud-Based Modeling Framework." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00019.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hegedüs, Ábel, Gábor Bergmann, Csaba Debreceni, et al. "Incquery server for teamwork cloud." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. ACM, 2018. http://dx.doi.org/10.1145/3270112.3270125.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Troubitsyna, Elena, and Irum Rauf. "Generating Cloud Monitors from Models to Secure Clouds." In 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2018. http://dx.doi.org/10.1109/dsn.2018.00060.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Klinaku, Floriment, Julijan Katić, Sarah Sophie Stieß, and Steffen Becker. "Designing Elasticity Policies for Cloud-Native Applications with Slingshot." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00012.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Cloud models"

1

Hamil, Thomas M., and Ross Hoffman. SERCAA Cloud Analysis Integration: Design Concepts and Interaction with Cloud Forecast Models. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada269104.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Haiqin, and Marek Druzdzel. Cloud Library for Directed Probabilistic Graphical Models. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada611690.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Shyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2449.

Full text
Abstract:
The article is devoted to creating and development of the cloud based educational and scientific environment of higher education institutions, using modern approaches to the ICT infrastructure design, based on the different types of service models, including public, corporate or hybrid clouds. Object of the study: to conduct the theoretical analysis of the research trends of the cloud based higher education institution ICT infrastructure modeling in the context of the tendencies of the ICT development and standardization. Object of the study: the process of formation and development of the edu
APA, Harvard, Vancouver, ISO, and other styles
4

Walcek, C. Clouds and relative humidity in climate models; or what really regulates cloud cover? Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/232611.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Walcek, C. J. Use of cloud observations and mesoscale meteorology models to evaluate and improve cloud parameterizations. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6914666.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Seinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada611945.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Seinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532930.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Seinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada541254.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Seinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada602941.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Marquis, James, Sheng-Lun Tai, and Jerome Fast. Assimilating Scanning Radar Data into Cloud-Scale Models. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1992125.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Cloud models' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography